Podcasts about HubSpot

It's been a good long while since I've had a good long rant. *Cracks knuckles.* Let us begin.Join the next cohort of Design My Signature Talk (starts Feb. 23, 2026)→Subscribe to my newsletter→***ABOUT ME, JAY ACUNZOI work with entrepreneurs, execs, and teams on the journey from competent to resonant. To do that, I help transform your thinking into clear, captivating ideas, speeches, and IP. Stop chasing attention. Become the one others seek.I'm a former marketing leader at Google and HubSpot and globally touring speaker and author. I've spent 20 years building the exact thought leadership I now help clients create—as a practitioner-peer, not a coach with templates.Work with me 1:1, book me to speak, or explore free resources at jayacunzo.comDon't market more. Matter more.Think resonance over reach.Don't be the best. Be their favorite.***ENJOY THE SHOW? PLEASE SAY THANKS!Leave a review on Apple Podcasts Leave a rating on Spotify Thanks for listening!

Timo Armoo built and sold A global marketing company (Fanbytes) for $30M+ at age 27. He started as an anxious, self-doubting kid on a council estate in East London. He had no money or connections. His story is proof you don't need luck to succeed as an entrepreneur. In this conversation, Timo shares the EXACT cheat codes you can use to start your first $1M business.Our Sponsors:Grab the 2026 State of Marketing Report by Hubspot: https://clickhubspot.com/42cf89Start using @replit today: https://replit.comFollow Us!https://www.instagram.com/calumjohnson1/https://x.com/calum_johnson9Timo: https://www.instagram.com/timarmoo/?hl=enTimestamps00:00 Intro03:40 Watch this if you feel misunderstood08:00 The cage story (I was scared for my life!)12:29 How a gangster saved my life...23:02 The life changing business I started at 14 (copy this business model!)28:46 Why Fanbytes worked (secrets behind the $30M business)34:17 This visualization practice made me a multi-millionaire37:20 The alter-ego cheatcode (use this when you're feeling anxious)40:25 You'll never build a successful business without this...44:59 The expertise gap (how to find $1M business ideas)49:15 The most underrated hack for making your first $1M 53:44 3 ways to copy business ideas57:59 3 business myths that keep you broke01:06:03 Follow these 2 rules to hit your first $10k/month01:09:38 The easiest path to $1M/year01:16:20 Watch this if you doubt yourself (best advice you'll hear today)

Emmanuel et Guillaume discutent de divers sujets liés à la programmation, notamment les systèmes de fichiers en Java, le Data Oriented Programming, les défis de JPA avec Kotlin, et les nouvelles fonctionnalités de Quarkus. Ils explorent également des sujets un peu fous comme la création de datacenters dans l'espace. Pas mal d'architecture aussi. Enregistré le 13 février 2026 Téléchargement de l'épisode LesCastCodeurs-Episode-337.mp3 ou en vidéo sur YouTube. News Langages Comment implémenter un file system en Java https://foojay.io/today/bootstrapping-a-java-file-system/ Créer un système de fichiers Java personnalisé avec NIO.2 pour des usages variés (VCS, archives, systèmes distants). Évolution Java: java.io.File (1.0) -> NIO (1.4) -> NIO.2 (1.7) pour personnalisation via FileSystem. Recommander conception préalable; API Java est orientée POSIX. Composants clés à considérer: Conception URI (scheme unique, chemin). Gestion de l'arborescence (BD, métadonnées, efficacité). Stockage binaire (emplacement, chiffrement, versions). Minimum pour démarrer (4 composants): Implémenter Path (représente fichier/répertoire). Étendre FileSystem (instance du système). Étendre FileSystemProvider (moteur, enregistré par scheme). Enregistrer FileSystemProvider via META-INF/services. Étapes suivantes: Couche BD (arborescence), opérations répertoire/fichier de base, stockage, tests. Processus long et exigeant, mais gratifiant.   Un article de brian goetz sur le futur du data oriented programming en Java https://openjdk.org/projects/amber/design-notes/beyond-records Le projet Amber de Java introduit les "carrier classes", une évolution des records qui permet plus de flexibilité tout en gardant les avantages du pattern matching et de la reconstruction Les records imposent des contraintes strictes (immutabilité, représentation exacte de l'état) qui limitent leur usage pour des classes avec état muable ou dérivé Les carrier classes permettent de déclarer une state description complète et canonique sans imposer que la représentation interne corresponde exactement à l'API publique Le modificateur "component" sur les champs permet au compilateur de dériver automatiquement les accesseurs pour les composants alignés avec la state description Les compact constructors sont généralisés aux carrier classes, générant automatiquement l'initialisation des component fields Les carrier classes supportent la déconstruction via pattern matching comme les records, rendant possible leur usage dans les instanceof et switch Les carrier interfaces permettent de définir une state description sur une interface, obligeant les implémentations à fournir les accesseurs correspondants L'extension entre carrier classes est possible, avec dérivation automatique des appels super() quand les composants parent sont subsumés par l'enfant Les records deviennent un cas particulier de carrier classes avec des contraintes supplémentaires (final, extends Record, component fields privés et finaux obligatoires) L'évolution compatible des records est améliorée en permettant l'ajout de composants en fin de liste et la déconstruction partielle par préfixe Comment éviter les pièges courants avec JPA et Kotlin - https://blog.jetbrains.com/idea/2026/01/how-to-avoid-common-pitfalls-with-jpa-and-kotlin/ JPA est une spécification Java pour la persistance objet-relationnel, mais son utilisation avec Kotlin présente des incompatibilités dues aux différences de conception des deux langages Les classes Kotlin sont finales par défaut, ce qui empêche la création de proxies par JPA pour le lazy loading et les opérations transactionnelles Le plugin kotlin-jpa génère automatiquement des constructeurs sans argument et rend les classes open, résolvant les problèmes de compatibilité Les data classes Kotlin ne sont pas adaptées aux entités JPA car elles génèrent equals/hashCode basés sur tous les champs, causant des problèmes avec les relations lazy L'utilisation de lateinit var pour les relations peut provoquer des exceptions si on accède aux propriétés avant leur initialisation par JPA Les types non-nullables Kotlin peuvent entrer en conflit avec le comportement de JPA qui initialise les entités avec des valeurs null temporaires Le backing field direct dans les getters/setters personnalisés peut contourner la logique de JPA et casser le lazy loading IntelliJ IDEA 2024.3 introduit des inspections pour détecter automatiquement ces problèmes et propose des quick-fixes L'IDE détecte les entités finales, les data classes inappropriées, les problèmes de constructeurs et l'usage incorrect de lateinit Ces nouvelles fonctionnalités aident les développeurs à éviter les bugs subtils liés à l'utilisation de JPA avec Kotlin Librairies Guide sur MapStruct @IterableMapping - https://www.baeldung.com/java-mapstruct-iterablemapping MapStruct est une bibliothèque Java pour générer automatiquement des mappers entre beans, l'annotation @IterableMapping permet de configurer finement le mapping de collections L'attribut dateFormat permet de formater automatiquement des dates lors du mapping de listes sans écrire de boucle manuelle L'attribut qualifiedByName permet de spécifier quelle méthode custom appliquer sur chaque élément de la collection à mapper Exemple d'usage : filtrer des données sensibles comme des mots de passe en mappant uniquement certains champs via une méthode dédiée L'attribut nullValueMappingStrategy permet de contrôler le comportement quand la collection source est null (retourner null ou une collection vide) L'annotation fonctionne pour tous types de collections Java (List, Set, etc.) et génère le code de boucle nécessaire Possibilité d'appliquer des formats numériques avec numberFormat pour convertir des nombres en chaînes avec un format spécifique MapStruct génère l'implémentation complète du mapper au moment de la compilation, éliminant le code boilerplate L'annotation peut être combinée avec @Named pour créer des méthodes de mapping réutilisables et nommées Le mapping des collections supporte les conversions de types complexes au-delà des simples conversions de types primitifs Accès aux fichiers Samba depuis Java avec JCIFS - https://www.baeldung.com/java-samba-jcifs JCIFS est une bibliothèque Java permettant d'accéder aux partages Samba/SMB sans monter de lecteur réseau, supportant le protocole SMB3 on pense aux galériens qui doivent se connecter aux systèmes dit legacy La configuration nécessite un contexte CIFS (CIFSContext) et des objets SmbFile pour représenter les ressources distantes L'authentification se fait via NtlmPasswordAuthenticator avec domaine, nom d'utilisateur et mot de passe La bibliothèque permet de lister les fichiers et dossiers avec listFiles() et vérifier leurs propriétés (taille, date de modification) Création de fichiers avec createNewFile() et de dossiers avec mkdir() ou mkdirs() pour créer toute une arborescence Suppression via delete() qui peut parcourir et supprimer récursivement des arborescences entières Copie de fichiers entre partages Samba avec copyTo(), mais impossibilité de copier depuis le système de fichiers local Pour copier depuis le système local, utilisation des streams SmbFileInputStream et SmbFileOutputStream Les opérations peuvent cibler différents serveurs Samba et différents partages (anonymes ou protégés par mot de passe) La bibliothèque s'intègre dans des blocs try-with-resources pour une gestion automatique des ressources Quarkus 3.31 - Support complet Java 25, nouveau packaging Maven et Panache Next - https://quarkus.io/blog/quarkus-3-31-released/ Support complet de Java 25 avec images runtime et native Nouveau packaging Maven de type quarkus avec lifecycle optimisé pour des builds plus rapides voici un article complet pour plus de detail https://quarkus.io/blog/building-large-applications/ Introduction de Panache Next, nouvelle génération avec meilleure expérience développeur et API unifiée ORM/Reactive Mise à jour vers Hibernate ORM 7.2, Reactive 3.2, Search 8.2 Support de Hibernate Spatial pour les données géospatiales Passage à Testcontainers 2 et JUnit 6 Annotations de sécurité supportées sur les repositories Jakarta Data Chiffrement des tokens OIDC pour les implémentations custom TokenStateManager Support OAuth 2.0 Pushed Authorization Requests dans l'extension OIDC Maven 3.9 maintenant requis minimum pour les projets Quarkus A2A Java SDK 1.0.0.Alpha1 - Alignement avec la spécification 1.0 du protocole Agent2Agent - https://quarkus.io/blog/a2a-java-sdk-1-0-0-alpha1/ Le SDK Java A2A implémente le protocole Agent2Agent qui permet la communication standardisée entre agents IA pour découvrir des capacités, déléguer des tâches et collaborer Passage à la version 1.0 de la spécification marque la transition d'expérimental à production-ready avec des changements cassants assumés Modernisation complète du module spec avec des Java records partout remplaçant le mix précédent de classes et records pour plus de cohérence Adoption de Protocol Buffers comme source de vérité avec des mappers MapStruct pour la conversion et Gson pour JSON-RPC Les builders utilisent maintenant des méthodes factory statiques au lieu de constructeurs publics suivant les best practices Java modernes Introduction de trois BOMs Maven pour simplifier la gestion des dépendances du SDK core, des extensions et des implémentations de référence Quarkus AgentCard évolue avec une liste supportedInterfaces remplaçant url et preferredTransport pour plus de flexibilité dans la déclaration des protocoles Support de la pagination ajouté pour ListTasks et les endpoints de configuration des notifications push avec des wrappers Result appropriés Interface A2AHttpClient pluggable permettant des implémentations HTTP personnalisées avec une implémentation Vert.x fournie Travail continu vers la conformité complète avec le TCK 1.0 en cours de développement parallèlement à la finalisation de la spécification Pourquoi Quarkus finit par "cliquer" : les 10 questions que se posent les développeurs Java - https://www.the-main-thread.com/p/quarkus-java-developers-top-questions-2025 un article qui revele et repond aux questions des gens qui ont utilisé Quarkus depuis 4-6 mois, les non noob questions Quarkus est un framework Java moderne optimisé pour le cloud qui propose des temps de démarrage ultra-rapides et une empreinte mémoire réduite Pourquoi Quarkus démarre si vite ? Le framework effectue le travail lourd au moment du build (scanning, indexation, génération de bytecode) plutôt qu'au runtime Quand utiliser le mode réactif plutôt qu'impératif ? Le réactif est pertinent pour les workloads avec haute concurrence et dominance I/O, l'impératif reste plus simple dans les autres cas Quelle est la différence entre Dev Services et Testcontainers ? Dev Services utilise Testcontainers en gérant automatiquement le cycle de vie, les ports et la configuration sans cérémonie Comment la DI de Quarkus diffère de Spring ? CDI est un standard basé sur la sécurité des types et la découverte au build-time, différent de l'approche framework de Spring Comment gérer la configuration entre environnements ? Quarkus permet de scaler depuis le développement local jusqu'à Kubernetes avec des profils, fichiers multiples et configuration externe Comment tester correctement les applications Quarkus ? @QuarkusTest démarre l'application une fois pour toute la suite de tests, changeant le modèle mental par rapport à Spring Boot Que fait vraiment Panache en coulisses ? Panache est du JPA avec des opinions fortes et des défauts propres, enveloppant Hibernate avec un style Active Record Doit-on utiliser les images natives et quand ? Les images natives brillent pour le serverless et l'edge grâce au démarrage rapide et la faible empreinte mémoire, mais tous les apps n'en bénéficient pas Comment Quarkus s'intègre avec Kubernetes ? Le framework génère automatiquement les ressources Kubernetes, gère les health checks et métriques comme s'il était nativement conçu pour cet écosystème Comment intégrer l'IA dans une application Quarkus ? LangChain4j permet d'ajouter embeddings, retrieval, guardrails et observabilité directement en Java sans passer par Python Infrastructure Les alternatives à MinIO https://rmoff.net/2026/01/14/alternatives-to-minio-for-single-node-local-s3/ MinIO a abandonné le support single-node fin 2025 pour des raisons commerciales, cassant de nombreuses démos et pipelines CI/CD qui l'utilisaient pour émuler S3 localement L'auteur cherche un remplacement simple avec image Docker, compatibilité S3, licence open source, déploiement mono-nœud facile et communauté active S3Proxy est très léger et facile à configurer, semble être l'option la plus simple mais repose sur un seul contributeur RustFS est facile à utiliser et inclut une GUI, mais c'est un projet très récent en version alpha avec une faille de sécurité majeure récente SeaweedFS existe depuis 2012 avec support S3 depuis 2018, relativement facile à configurer et dispose d'une interface web basique Zenko CloudServer remplace facilement MinIO mais la documentation et le branding (cloudserver/zenko/scality) peuvent prêter à confusion Garage nécessite une configuration complexe avec fichier TOML et conteneur d'initialisation séparé, pas un simple remplacement drop-in Apache Ozone requiert au minimum quatre nœuds pour fonctionner, beaucoup trop lourd pour un usage local simple L'auteur recommande SeaweedFS et S3Proxy comme remplaçants viables, RustFS en maybe, et élimine Garage et Ozone pour leur complexité Garage a une histoire tres associative, il vient du collectif https://deuxfleurs.fr/ qui offre un cloud distribué sans datacenter C'est certainement pas une bonne idée, les datacenters dans l'espace https://taranis.ie/datacenters-in-space-are-a-terrible-horrible-no-good-idea/ Avis d'expert (ex-NASA/Google, Dr en électronique spatiale) : Centres de données spatiaux, une "terrible" idée. Incompatibilité fondamentale : L'électronique (surtout IA/GPU) est inadaptée à l'environnement spatial. Énergie : Accès limité. Le solaire (type ISS) est insuffisant pour l'échelle de l'IA. Le nucléaire (RTG) est trop faible. Refroidissement : L'espace n'est pas "froid" ; absence de convection. Nécessite des radiateurs gigantesques (ex: 531m² pour 200kW). Radiations : Provoque erreurs (SEU, SEL) et dommages. Les GPU sont très vulnérables. Blindage lourd et inefficace. Les puces "durcies" sont très lentes. Communications : Bande passante très limitée (1Gbps radio vs 100Gbps terrestre). Le laser est tributaire des conditions atmosphériques. Conclusion : Projet extrêmement difficile, coûteux et aux performances médiocres. Data et Intelligence Artificielle Guillaume a développé un serveur MCP pour arXiv (le site de publication de papiers de recherche) en Java avec le framework Quarkus https://glaforge.dev/posts/2026/01/18/implementing-an-arxiv-mcp-server-with-quarkus-in-java/ Implémentation d'un serveur MCP (Model Context Protocol) arXiv en Java avec Quarkus. Objectif : Accéder aux publications arXiv et illustrer les fonctionnalités moins connues du protocole MCP. Mise en œuvre : Utilisation du framework Quarkus (Java) et son support MCP étendu. Assistance par Antigravity (IDE agentique) pour le développement et l'intégration de l'API arXiv. Interaction avec l'API arXiv : requêtes HTTP, format XML Atom pour les résultats, parser XML Jackson. Fonctionnalités MCP exposées : Outils (@Tool) : Recherche de publications (search_papers). Ressources (@Resource, @ResourceTemplate) : Taxonomie des catégories arXiv, métadonnées des articles (via un template d'URI). Prompts (@Prompt) : Exemples pour résumer des articles ou construire des requêtes de recherche. Configuration : Le serveur peut fonctionner en STDIO (local) ou via HTTP Streamable (local ou distant), avec une configuration simple dans des clients comme Gemini CLI. Conclusion : Quarkus simplifie la création de serveurs MCP riches en fonctionnalités, rendant les données et services "prêts pour l'IA" avec l'aide d'outils d'IA comme Antigravity. Anthropic ne mettra pas de pub dans Claude https://www.anthropic.com/news/claude-is-a-space-to-think c'est en reaction au plan non public d'OpenAi de mettre de la pub pour pousser les gens au mode payant OpenAI a besoin de cash et est probablement le plus utilisé pour gratuit au monde Anthropic annonce que Claude restera sans publicité pour préserver son rôle d'assistant conversationnel dédié au travail et à la réflexion approfondie. Les conversations avec Claude sont souvent sensibles, personnelles ou impliquent des tâches complexes d'ingénierie logicielle où les publicités seraient inappropriées. L'analyse des conversations montre qu'une part significative aborde des sujets délicats similaires à ceux évoqués avec un conseiller de confiance. Un modèle publicitaire créerait des incitations contradictoires avec le principe fondamental d'être "genuinely helpful" inscrit dans la Constitution de Claude. Les publicités introduiraient un conflit d'intérêt potentiel où les recommandations pourraient être influencées par des motivations commerciales plutôt que par l'intérêt de l'utilisateur. Le modèle économique d'Anthropic repose sur les contrats entreprise et les abonnements payants, permettant de réinvestir dans l'amélioration de Claude. Anthropic maintient l'accès gratuit avec des modèles de pointe et propose des tarifs réduits pour les ONG et l'éducation dans plus de 60 pays. Le commerce "agentique" sera supporté mais uniquement à l'initiative de l'utilisateur, jamais des annonceurs, pour préserver la confiance. Les intégrations tierces comme Figma, Asana ou Canva continueront d'être développées en gardant l'utilisateur aux commandes. Anthropic compare Claude à un cahier ou un tableau blanc : des espaces de pensée purs, sans publicité. Infinispan 16.1 est sorti https://infinispan.org/blog/2026/02/04/infinispan-16-1 déjà le nom de la release mérite une mention Le memory bounded par cache et par ensemble de cache s est pas facile à faire en Java Une nouvelle api OpenAPI AOT caché dans les images container Un serveur MCP local juste avec un fichier Java ? C'est possible avec LangChain4j et JBang https://glaforge.dev/posts/2026/02/11/zero-boilerplate-java-stdio-mcp-servers-with-langchain4j-and-jbang/ Création rapide de serveurs MCP Java sans boilerplate. MCP (Model Context Protocol): standard pour connecter les LLM à des outils et données. Le tutoriel répond au manque d'options simples pour les développeurs Java, face à une prédominance de Python/TypeScript dans l'écosystème MCP. La solution utilise: LangChain4j: qui intègre un nouveau module serveur MCP pour le protocole STDIO. JBang: permet d'exécuter des fichiers Java comme des scripts, éliminant les fichiers de build (pom.xml, Gradle). Implémentation: se fait via un seul fichier .java. JBang gère automatiquement les dépendances (//DEPS). L'annotation @Tool de LangChain4j expose les méthodes Java aux LLM. StdioMcpServerTransport gère la communication JSON-RPC via l'entrée/sortie standard (STDIO). Point crucial: Les logs doivent impérativement être redirigés vers System.err pour éviter de corrompre System.out, qui est réservé à la communication MCP (messages JSON-RPC). Facilite l'intégration locale avec des outils comme Gemini CLI, Claude Code, etc. Reciprocal Rank Fusion : un algorithme utile et souvent utilisé pour faire de la recherche hybride, pour mélanger du RAG et des recherches par mots-clé https://glaforge.dev/posts/2026/02/10/advanced-rag-understanding-reciprocal-rank-fusion-in-hybrid-search/ RAG : Qualité LLM dépend de la récupération. Recherche Hybride : Combiner vectoriel et mots-clés (BM25) est optimal. Défi : Fusionner des scores d'échelles différentes. Solution : Reciprocal Rank Fusion (RRF). RRF : Algorithme robuste qui fusionne des listes de résultats en se basant uniquement sur le rang des documents, ignorant les scores. Avantages RRF : Pas de normalisation de scores, scalable, excellente première étape de réorganisation. Architecture RAG fréquente : RRF (large sélection) + Cross-Encoder / modèle de reranking (précision fine). RAG-Fusion : Utilise un LLM pour générer plusieurs variantes de requête, puis RRF agrège tous les résultats pour renforcer le consensus et réduire les hallucinations. Implémentation : LangChain4j utilise RRF par défaut pour agréger les résultats de plusieurs retrievers. Les dernières fonctionnalités de Gemini et Nano Banana supportées dans LangChain4j https://glaforge.dev/posts/2026/02/06/latest-gemini-and-nano-banana-enhancements-in-langchain4j/ Nouveaux modèles d'images Nano Banana (Gemini 2.5/3.0) pour génération et édition (jusqu'à 4K). "Grounding" via Google Search (pour images et texte) et Google Maps (localisation, Gemini 2.5). Outil de contexte URL (Gemini 3.0) pour lecture directe de pages web. Agents multimodaux (AiServices) capables de générer des images. Configuration de la réflexion (profondeur Chain-of-Thought) pour Gemini 3.0. Métadonnées enrichies : usage des tokens et détails des sources de "grounding". Comment configurer Gemini CLI comment agent de code dans IntelliJ grâce au protocole ACP https://glaforge.dev/posts/2026/02/01/how-to-integrate-gemini-cli-with-intellij-idea-using-acp/ But : Intégrer Gemini CLI à IntelliJ IDEA via l'Agent Client Protocol (ACP). Prérequis : IntelliJ IDEA 2025.3+, Node.js (v20+), Gemini CLI. Étapes : Installer Gemini CLI (npm install -g @google/gemini-cli). Localiser l'exécutable gemini. Configurer ~/.jetbrains/acp.json (chemin exécutable, --experimental-acp, use_idea_mcp: true). Redémarrer IDEA, sélectionner "Gemini CLI" dans l'Assistant IA. Usage : Gemini interagit avec le code et exécute des commandes (contexte projet). Important : S'assurer du flag --experimental-acp dans la configuration. Outillage PipeNet, une alternative (open source aussi) à LocalTunnel, mais un plus évoluée https://pipenet.dev/ pipenet: Alternative open-source et moderne à localtunnel (client + serveur). Usages: Développement local (partage, webhooks), intégration SDK, auto-hébergement sécurisé. Fonctionnalités: Client (expose ports locaux, sous-domaines), Serveur (déploiement, domaines personnalisés, optimisé cloud mono-port). Avantages vs localtunnel: Déploiement cloud sur un seul port, support multi-domaines, TypeScript/ESM, maintenance active. Protocoles: HTTP/S, WebSocket, SSE, HTTP Streaming. Intégration: CLI ou SDK JavaScript. JSON-IO — une librairie comme Jackson ou GSON, supportant JSON5, TOON, et qui pourrait être utile pour l'utilisation du "structured output" des LLMs quand ils ne produisent pas du JSON parfait https://github.com/jdereg/json-io json-io : Librairie Java pour la sérialisation et désérialisation JSON/TOON. Gère les graphes d'objets complexes, les références cycliques et les types polymorphes. Support complet JSON5 (lecture et écriture), y compris des fonctionnalités non prises en charge par Jackson/Gson. Format TOON : Notation orientée token, optimisée pour les LLM, réduisant l'utilisation de tokens de 40 à 50% par rapport au JSON. Légère : Aucune dépendance externe (sauf java-util), taille de JAR réduite (~330K). Compatible JDK 1.8 à 24, ainsi qu'avec les environnements JPMS et OSGi. Deux modes de conversion : vers des objets Java typés (toJava()) ou vers des Map (toMaps()). Options de configuration étendues via ReadOptionsBuilder et WriteOptionsBuilder. Optimisée pour les déploiements cloud natifs et les architectures de microservices. Utiliser mailpit et testcontainer pour tester vos envois d'emails https://foojay.io/today/testing-emails-with-testcontainers-and-mailpit/ l'article montre via SpringBoot et sans. Et voici l'extension Quarkus https://quarkus.io/extensions/io.quarkiverse.mailpit/quarkus-mailpit/?tab=docs Tester l'envoi d'emails en développement est complexe car on ne peut pas utiliser de vrais serveurs SMTP Mailpit est un serveur SMTP de test qui capture les emails et propose une interface web pour les consulter Testcontainers permet de démarrer Mailpit dans un conteneur Docker pour les tests d'intégration L'article montre comment configurer une application SpringBoot pour envoyer des emails via JavaMail Un module Testcontainers dédié à Mailpit facilite son intégration dans les tests Le conteneur Mailpit expose un port SMTP (1025) et une API HTTP (8025) pour vérifier les emails reçus Les tests peuvent interroger l'API HTTP de Mailpit pour valider le contenu des emails envoyés Cette approche évite d'utiliser des mocks et teste réellement l'envoi d'emails Mailpit peut aussi servir en développement local pour visualiser les emails sans les envoyer réellement La solution fonctionne avec n'importe quel framework Java supportant JavaMail Architecture Comment scaler un système de 0 à 10 millions d'utilisateurs https://blog.algomaster.io/p/scaling-a-system-from-0-to-10-million-users Philosophie : Scalabilité incrémentale, résoudre les goulots d'étranglement sans sur-ingénierie. 0-100 utilisateurs : Serveur unique (app, DB, jobs). 100-1K : Séparer app et DB (services gérés, pooling). 1K-10K : Équilibreur de charge, multi-serveurs d'app (stateless via sessions partagées). 10K-100K : Caching, réplicas de lecture DB, CDN (réduire charge DB). 100K-500K : Auto-scaling, applications stateless (authentification JWT). 500K-10M : Sharding DB, microservices, files de messages (traitement asynchrone). 10M+ : Déploiement multi-régions, CQRS, persistance polyglotte, infra personnalisée. Principes clés : Simplicité, mesure, stateless essentiel, cache/asynchrone, sharding prudent, compromis (CAP), coût de la complexité. Patterns d'Architecture 2026 - Du Hype à la Réalité du Terrain (Part 1/2) - https://blog.ippon.fr/2026/01/30/patterns-darchitecture-2026-part-1/ L'article présente quatre patterns d'architecture logicielle pour répondre aux enjeux de scalabilité, résilience et agilité business dans les systèmes modernes Il présentent leurs raisons et leurs pièges Un bon rappel L'Event-Driven Architecture permet une communication asynchrone entre systèmes via des événements publiés et consommés, évitant le couplage direct Les bénéfices de l'EDA incluent la scalabilité indépendante des composants, la résilience face aux pannes et l'ajout facile de nouveaux cas d'usage Le pattern API-First associé à un API Gateway centralise la sécurité, le routage et l'observabilité des APIs avec un catalogue unifié Le Backend for Frontend crée des APIs spécifiques par canal (mobile, web, partenaires) pour optimiser l'expérience utilisateur CQRS sépare les modèles de lecture et d'écriture avec des bases optimisées distinctes, tandis que l'Event Sourcing stocke tous les événements plutôt que l'état actuel Le Saga Pattern gère les transactions distribuées via orchestration centralisée ou chorégraphie événementielle pour coordonner plusieurs microservices Les pièges courants incluent l'explosion d'événements granulaires, la complexité du debugging distribué, et la mauvaise gestion de la cohérence finale Les technologies phares sont Kafka pour l'event streaming, Kong pour l'API Gateway, EventStoreDB pour l'Event Sourcing et Temporal pour les Sagas Ces patterns nécessitent une maturité technique et ne sont pas adaptés aux applications CRUD simples ou aux équipes junior Patterns d'architecture 2026 : du hype à la réalité terrain part. 2 - https://blog.ippon.fr/2026/02/04/patterns-darchitecture-2026-part-2/ Deuxième partie d'un guide pratique sur les patterns d'architecture logicielle et système éprouvés pour moderniser et structurer les applications en 2026 Strangler Fig permet de migrer progressivement un système legacy en l'enveloppant petit à petit plutôt que de tout réécrire d'un coup (70% d'échec pour les big bang) Anti-Corruption Layer protège votre nouveau domaine métier des modèles externes et legacy en créant une couche de traduction entre les systèmes Service Mesh gère automatiquement la communication inter-services dans les architectures microservices (sécurité mTLS, observabilité, résilience) Architecture Hexagonale sépare le coeur métier des détails techniques via des ports et adaptateurs pour améliorer la testabilité et l'évolutivité Chaque pattern est illustré par un cas client concret avec résultats mesurables et liste des pièges à éviter lors de l'implémentation Les technologies 2026 mentionnées incluent Istio, Linkerd pour service mesh, LaunchDarkly pour feature flags, NGINX et Kong pour API gateway Tableau comparatif final aide à choisir le bon pattern selon la complexité, le scope et le use case spécifique du projet L'article insiste sur une approche pragmatique : ne pas utiliser un pattern juste parce qu'il est moderne mais parce qu'il résout un problème réel Pour les systèmes simples type CRUD ou avec peu de services, ces patterns peuvent introduire une complexité inutile qu'il faut savoir éviter Méthodologies Le rêve récurrent de remplacer voire supprimer les développeurs https://www.caimito.net/en/blog/2025/12/07/the-recurring-dream-of-replacing-developers.html Depuis 1969, chaque décennie voit une tentative de réduire le besoin de développeurs (de COBOL, UML, visual builders… à IA). Motivation : frustration des dirigeants face aux délais et coûts de développement. La complexité logicielle est intrinsèque et intellectuelle, non pas une question d'outils. Chaque vague technologique apporte de la valeur mais ne supprime pas l'expertise humaine. L'IA assiste les développeurs, améliore l'efficacité, mais ne remplace ni le jugement ni la gestion de la complexité. La demande de logiciels excède l'offre car la contrainte majeure est la réflexion nécessaire pour gérer cette complexité. Pour les dirigeants : les outils rendent-ils nos développeurs plus efficaces sur les problèmes complexes et réduisent-ils les tâches répétitives ? Le "rêve" de remplacer les développeurs, irréalisable, est un moteur d'innovation créant des outils précieux. Comment creuser des sujets à l'ère de l'IA générative. Quid du partage et la curation de ces recherches ? https://glaforge.dev/posts/2026/02/04/researching-topics-in-the-age-of-ai-rock-solid-webhooks-case-study/ Recherche initiale de l'auteur sur les webhooks en 2019, processus long et manuel. L'IA (Deep Research, Gemini, NotebookLM) facilite désormais la recherche approfondie, l'exploration de sujets et le partage des résultats. L'IA a identifié et validé des pratiques clés pour des déploiements de webhooks résilients, en grande partie les mêmes que celles trouvées précédemment par l'auteur. Génération d'artefacts par l'IA : rapport détaillé, résumé concis, illustration sketchnote, et même une présentation (slide deck). Guillaume s'interroge sur le partage public de ces rapports de recherche générés par l'IA, tout en souhaitant éviter le "AI Slop". Loi, société et organisation Le logiciel menacé par le vibe coding https://www.techbuzz.ai/articles/we-built-a-monday-com-clone-in-under-an-hour-with-ai Deux journalistes de CNBC sans expérience de code ont créé un clone fonctionnel de Monday.com en moins de 60 minutes pour 5 à 15 dollars. L'expérience valide les craintes des investisseurs qui ont provoqué une baisse de 30% des actions des entreprises SaaS. L'IA a non seulement reproduit les fonctionnalités de base mais a aussi recherché Monday.com de manière autonome pour identifier et recréer ses fonctionnalités clés. Cette technique appelée "vibe-coding" permet aux non-développeurs de construire des applications via des instructions en anglais courant. Les entreprises les plus vulnérables sont celles offrant des outils "qui se posent sur le travail" comme Atlassian, Adobe, HubSpot, Zendesk et Smartsheet. Les entreprises de cybersécurité comme CrowdStrike et Palo Alto sont considérées plus protégées grâce aux effets de réseau et aux barrières réglementaires. Les systèmes d'enregistrement comme Salesforce restent plus difficiles à répliquer en raison de leur profondeur d'intégration et de données d'entreprise. Le coût de 5 à 15 dollars par construction permet aux entreprises de prototyper plusieurs solutions personnalisées pour moins cher qu'une seule licence Monday.com. L'expérience soulève des questions sur la pérennité du marché de 5 milliards de dollars des outils de gestion de projet face à l'IA générative. Conférences En complément de l'agenda des conférences de Aurélie Vache, il y a également le site https://javaconferences.org/ (fait par Brian Vermeer) avec toutes les conférences Java à venir ! La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 12-13 février 2026 : Touraine Tech #26 - Tours (France) 12-13 février 2026 : World Artificial Intelligence Cannes Festival - Cannes (France) 19 février 2026 : ObservabilityCON on the Road - Paris (France) 6 mars 2026 : WordCamp Nice 2026 - Nice (France) 18 mars 2026 : Jupyter Workshops: AI in Jupyter: Building Extensible AI Capabilities for Interactive Computing - Saint-Maur-des-Fossés (France) 18-19 mars 2026 : Agile Niort 2026 - Niort (France) 20 mars 2026 : Atlantique Day 2026 - Nantes (France) 26 mars 2026 : Data Days Lille - Lille (France) 26-27 mars 2026 : SymfonyLive Paris 2026 - Paris (France) 26-27 mars 2026 : REACT PARIS - Paris (France) 27-29 mars 2026 : Shift - Nantes (France) 31 mars 2026 : ParisTestConf - Paris (France) 31 mars 2026-1 avril 2026 : FlowCon France 2026 - Paris (France) 1 avril 2026 : AWS Summit Paris - Paris (France) 2 avril 2026 : Pragma Cannes 2026 - Cannes (France) 2-3 avril 2026 : Xen Spring Meetup 2026 - Grenoble (France) 7 avril 2026 : PyTorch Conference Europe - Paris (France) 9-10 avril 2026 : Android Makers by droidcon 2026 - Paris (France) 9-11 avril 2026 : Drupalcamp Grenoble 2026 - Grenoble (France) 16-17 avril 2026 : MiXiT 2026 - Lyon (France) 17-18 avril 2026 : Faiseuses du Web 5 - Dinan (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 6-7 mai 2026 : Devoxx UK 2026 - London (UK) 12 mai 2026 : Lead Innovation Day - Leadership Edition - Paris (France) 19 mai 2026 : La Product Conf Paris 2026 - Paris (France) 21-22 mai 2026 : Flupa UX Days 2026 - Paris (France) 22 mai 2026 : AFUP Day 2026 Lille - Lille (France) 22 mai 2026 : AFUP Day 2026 Paris - Paris (France) 22 mai 2026 : AFUP Day 2026 Bordeaux - Bordeaux (France) 22 mai 2026 : AFUP Day 2026 Lyon - Lyon (France) 28 mai 2026 : DevCon 27 : I.A. & Vibe Coding - Paris (France) 28 mai 2026 : Cloud Toulouse 2026 - Toulouse (France) 29 mai 2026 : NG Baguette Conf 2026 - Paris (France) 29 mai 2026 : Agile Tour Strasbourg 2026 - Strasbourg (France) 2-3 juin 2026 : Agile Tour Rennes 2026 - Rennes (France) 2-3 juin 2026 : OW2Con - Paris-Châtillon (France) 3 juin 2026 : IA–NA - La Rochelle (France) 5 juin 2026 : TechReady - Nantes (France) 5 juin 2026 : Fork it! - Rouen - Rouen (France) 6 juin 2026 : Polycloud - Montpellier (France) 9 juin 2026 : JFTL - Montrouge (France) 9 juin 2026 : C: - Caen (France) 11-12 juin 2026 : DevQuest Niort - Niort (France) 11-12 juin 2026 : DevLille 2026 - Lille (France) 12 juin 2026 : Tech F'Est 2026 - Nancy (France) 16 juin 2026 : Mobilis In Mobile 2026 - Nantes (France) 17-19 juin 2026 : Devoxx Poland - Krakow (Poland) 17-20 juin 2026 : VivaTech - Paris (France) 18 juin 2026 : Tech'Work - Lyon (France) 22-26 juin 2026 : Galaxy Community Conference - Clermont-Ferrand (France) 24-25 juin 2026 : Agi'Lille 2026 - Lille (France) 24-26 juin 2026 : BreizhCamp 2026 - Rennes (France) 2 juillet 2026 : Azur Tech Summer 2026 - Valbonne (France) 2-3 juillet 2026 : Sunny Tech - Montpellier (France) 3 juillet 2026 : Agile Lyon 2026 - Lyon (France) 6-8 juillet 2026 : Riviera Dev - Sophia Antipolis (France) 2 août 2026 : 4th Tech Summit on Artificial Intelligence & Robotics - Paris (France) 20-22 août 2026 : 4th Tech Summit on AI & Robotics - Paris (France) & Online 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 24 septembre 2026 : PlatformCon Live Day Paris 2026 - Paris (France) 1 octobre 2026 : WAX 2026 - Marseille (France) 1-2 octobre 2026 : Volcamp - Clermont-Ferrand (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

Brian Halligan co-founded HubSpot, ran it as CEO for about 15 years, and now coaches Sequoia's fastest-growing founders as their in-house CEO coach.We discuss:1. His LOCKS framework for evaluating founders2. Why you should build your team like the 2004 Red Sox3. Why hiring “spicy” candidates beats consensus picks4. Why enterprise sales will be the last white-collar job AI replaces5. Some of my favorite “Halliganisms”—Brought to you by:Sentry—Code breaks, fix it faster: http://sentry.io/lennyDatadog—Now home to Eppo, the leading experimentation and feature flagging platform: https://www.datadoghq.com/lennyWorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/sequoia-ceo-coach-why-its-never-been—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Brian Halligan• X: https://x.com/bhalligan• LinkedIn: linkedin.com/in/brianhalligan• Delphi: https://www.delphi.ai/bhalligan• Podcast: https://sequoiacap.com/series/long-strange-trip—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Brian Halligan(03:56) The perpetual state of constructive dissatisfaction(05:25) Coaching CEOs(07:49) The art of interviewing and hiring(11:21) Getting the most out of reference calls(13:10) Homegrown talent vs. big company hires(16:31) Traits of successful CEOs(19:40) Brian's LOCKS framework for evaluating founders(21:34) Are great CEO's born or made?(23:41) Giving effective feedback(25:54) The future of go-to-market strategies(31:56) Understanding forward deployed engineers(34:17) How the CEO role has evolved over the last 20 years(38:10) Halliganisms(01:01:18) The CEO's role in scaling a company(01:02:41) Lightning round and final thoughts—Referenced:• Dev Ittycheria on LinkedIn: https://www.linkedin.com/in/dittycheria• HubSpot: https://www.hubspot.com• Parker Conrad on LinkedIn: https://www.linkedin.com/in/parkerconrad• McKinsey & Company: https://www.mckinsey.com• Brian Chesky's new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach• Jensen Huang on LinkedIn: https://www.linkedin.com/in/jenhsunhuang• Winston Weinberg on LinkedIn: https://www.linkedin.com/in/winston-weinberg• James Cadwallader on LinkedIn: https://www.linkedin.com/in/jsca• Gabriel Stengel on LinkedIn: https://www.linkedin.com/in/gabestengel• He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor on the future of careers, coding, agents, and more: https://www.lennysnewsletter.com/p/he-saved-openai-bret-taylor• Scaling Entrepreneurial Ventures: https://orbit.mit.edu/classes/scaling-entrepreneurial-ventures-15.392• OpenClaw: https://openclaw.ai• Ruth Porat on LinkedIn: https://www.linkedin.com/in/ruth-porat• Mike Krzyzewski: https://goduke.com/sports/mens-basketball/roster/coaches/mike-krzyzewski/4159• Dalai Lama's 18 Rules for Living: https://www.prm.nau.edu/prm205/Dalai-Lama-18-rules-for-living.htm• Zigging vs. zagging: How HubSpot built a $30B company | Dharmesh Shah (co-founder/CTO): https://www.lennysnewsletter.com/p/lessons-from-30-years-of-building• Kareem Amin on LinkedIn: https://www.linkedin.com/in/kareemamin• Glassdoor: https://www.glassdoor.com• Tobi Lütke's leadership playbook: Playing infinite games, operating from first principles, and maximizing human potential (founder and CEO of Shopify): https://www.lennysnewsletter.com/p/tobi-lutkes-leadership-playbook• Katie Burke on LinkedIn: https://www.linkedin.com/in/katie-burke-965767a• Jerry Garcia: https://en.wikipedia.org/wiki/Jerry_Garcia• Bob Weir: https://en.wikipedia.org/wiki/Bob_Weir• Phil Lesh: https://en.wikipedia.org/wiki/Phil_Lesh• Ron “Pigpen” McKernan: https://en.wikipedia.org/wiki/Ron_%22Pigpen%22_McKernan• Marc Andreessen: The real AI boom hasn't even started yet: https://www.lennysnewsletter.com/p/marc-andreessen-the-real-ai-boom• The American Revolution: https://www.pbs.org/kenburns/the-american-revolution• Delphi: https://www.delphi.ai• Sonos: https://www.sonos.com• Yamini Rangan on LinkedIn: https://www.linkedin.com/in/yaminirangan• The Boston Red Sox: https://www.mlb.com/redsox—Recommended book:• Marketing Lessons from the Grateful Dead: What Every Business Can Learn from the Most Iconic Band in History: https://www.amazon.com/Marketing-Lessons-Grateful-Dead-Business/dp/0470900520—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Benvenuti ad una nuova puntata di Garagisti Tech: il format indipendente dove commentiamo news economiche, tech, AI e startup.Qui nel Garage ci sporchiamo le mani: ogni puntata tanti bulloni utili da avvitare agli ingranaggi della tua azienda o organizzazione.Garagisti Tech d'eccezione di questa puntata:

Did your brand just spend $7 million on a 30-second ad that alienated or ignored half its potential audience? Agility requires a willingness to challenge long-held assumptions—like the idea that a celebrity and a massive budget are all you need for a winning Super Bowl ad. It demands that brands move from gut feelings to data-driven insights to understand what truly resonates with their audience. Today, we're going to talk about the biggest advertising event of the year: the Super Bowl. Millions of dollars are spent, careers are made, and brands have one 30-second shot to capture the zeitgeist. But beyond the spectacle and the morning-after buzz, what actually drives results? We'll dig into the data behind the ads, exploring which brands successfully connected with key audiences, what the data says about using celebrities, and how the smartest brands think about the Super Bowl not as a single event, but as a strategic play in a much larger game.To help me discuss this topic, I'd like to welcome, Nataly Kelly, CMO at Zappi. About Nataly Kelly Nataly Kelly is Chief Marketing Officer at Zappi, based in Boston, MA. Previously she served at HubSpot as Vice President of Marketing, Vice President of International Operations and Strategy, and Vice President of Localization. Nataly Kelly on LinkedIn: https://www.linkedin.com/in/natalykelly/ Resources Zappi: https://www.zappi.io Take your personal data back with Incogni! Use code AGILE at the link below and get 60% off an annual plan: https://incogni.com/agile The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Get the Zappi Lessons in Advertising: Super Bowl LX report: https://www.zappi.io/web/learnings-from-super-bowl-ads-2026/Drive your customers to new horizons at the premier retail event of the year for Retail and Brand marketers. Learn more at CRMC 2026, June 1-3. https://www.thecrmc.com/ Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://advertalize.com/r/faaed112fc9887f3 Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

I know referrals work. You just have to get them from the right people. In this episode, I am sharing three ways to get high quality referrals that will help you build your sales pipeline.Ask Your Happy CustomersThe most common way to generate referrals is by reaching out to customers who are thrilled with your service and asking for an introduction to their network. Here is the surprising part. While 90 percent of customers say they are willing to refer others, only 11 percent of salespeople actually ask. If you are not asking, you are leaving opportunities on the table.Request Referrals from Non BuyersDo not overlook the conversations that do not end in a sale. Even when someone tells you no, that does not mean the relationship is over. It is still perfectly reasonable to ask if they know someone who is dealing with the challenges your product solves. When you position it around helping others, the request feels natural and value focused.Leverage LinkedIn ConnectionsYou can also take a more proactive approach by using tools like LinkedIn Sales Navigator. Look at your customers' first degree connections and identify people who match your ideal client profile. Then ask for a specific introduction. This method takes more effort, but when you are intentional about who you want to meet, the results can be powerful."Your goal is to get them to be able to be your evangelists." — Donald KellyResourcesKeep track of your sales activity and boost your results with the Prospect Pro sales tool.Join the LinkedIn Prospecting Course to improve how you use LinkedIn and book more consistent, high-quality sales appointments.Visit Blue Mango Studios for help in creating podcast production content. Sponsorship OffersThis episode is brought to you in part by Hubspot.With HubSpot sales hubs, your data tools and teams join a single platform to close deals and turn prospects into pipelines. Try it for yourself at hubspot.com/sales.This episode is brought to you in part by LinkedIn.Are you tired of prospective clients not responding to your emails? Sign up for a free 60-day trial of LinkedIn Sales Navigator at linkedin.com/tse.This episode is brought to you in part by the TSE Sales Foundation.Improve your connection on LinkedIn and land three or five appointments with our LinkedIn prospecting course. Go to the salesevangelist.com/linkedin.CreditsAs one of our podcast listeners, we value your opinion and always want to improve the quality of our show. Complete our two-minute survey here: thesalesevangelist.com/survey. We'd love for you to join us for our next episodes by tuning in on

This week, Joe and Robert break down one of the boldest marketing decisions the NFL has made in years and why it continues to pay off. NFL + Bad Bunny: A Strategic Win The NFL's move to spotlight Bad Bunny wasn't just a halftime performance decision. It was a strategic signal about where the league is headed as it expands globally and looks to connect with younger, more diverse audiences. Joe and Robert explore whether this marks a broader repositioning of the NFL brand and what marketers can learn from a legacy organization willing to evolve in public. This isn't about one performance. It's about how institutions modernize without losing their core. Super Bowl Ad Winners & Losers The guys break down the biggest hits and misses from this year's Super Bowl ad lineup. Which brands actually created impact? Who played it too safe? Did AI-driven ads live up to the hype or feel automated and forgettable? Some advertisers made bold cultural bets. Others blended into the background. Spotify's Big Earnings and the Hidden Opportunity Spotify's latest earnings report might signal something bigger than a financial rebound. Joe sees a potential opportunity for creators and marketers who understand the long-term value of owned audio audiences. Is podcasting and direct subscription audio still undervalued? Are marketers overlooking one of the most durable attention platforms available today? If you care about building direct audience leverage, this segment matters. Winners and Losers Joe's Winner: Markiplier's Iron Lung Markiplier's direct-to-theaters success with Iron Lung shows what creator-led distribution can look like without traditional Hollywood gatekeepers. Is this a preview of the next decade of media? Robert's Loser: AI Ads at the Super Bowl AI promised scale and personalization. On the biggest stage in advertising, many of those spots felt soulless and generic. Scale without taste is not a strategy. Rants and Raves Joe's Rant: TikTok Privacy Are creators and brands ignoring long-term privacy and platform risk for short-term reach? Robert's Commentary: The Overblown SaaS Apocalypse Robert pushes back on the constant doom-and-gloom narrative around SaaS and tech. Is the so-called apocalypse real, or just another overreaction cycle? Big Takeaway Legacy institutions are adapting. Creators are bypassing gatekeepers. Platforms are redefining monetization. The question for marketers is simple: Are you reacting to change, or positioning yourself to benefit from it? Subscribe and Follow: Follow Joe Pulizzi and Robert Rose on LinkedIn for insights, hot takes, and weekly updates from the world of content and marketing.  ------- This week's sponsor: Did you know that most businesses only use 20% of their data? That's like reading a book with most of the pages torn out. Point is, you miss a lot. Unless you use HubSpot. Their customer platform gives you access to the data you need to grow your business. The insights trapped in emails, call logs, and transcripts.  All that unstructured data that makes all the difference. Because when you know more, you grow more. Visit https://www.hubspot.com/ to hear how HubSpot can help you grow better. ------- Get all the show notes: https://www.thisoldmarketing.com/ Get Joe's new book, Burn the Playbook, at http://www.joepulizzi.com/books/burn-the-playbook/ Subscribe to Joe's Newsletter at https://www.joepulizzi.com/signup/. Get Robert Rose's new book, Valuable Friction, at https://robertrose.net/valuable-friction/  Subscribe to Robert's Newsletter at https://seventhbearlens.substack.com/ ------- This Old Marketing is part of the HubSpot Podcast Network: https://www.hubspot.com/podcastnetwork

In this Marketing Over Coffee: Learn about building Brandoms, Creating Community, and How to Hold It All Together! Direct Link to File Her new book is: Transforming Customer–Brand Relationships: Use Emotional Connection To Build Loyalty Check out the previous interview with Christina on her time at Hubspot and transition to on demand Chief Customer Officer […] The post Transforming Customer-Brand Relationships with Christina Garnett appeared first on Marketing Over Coffee Marketing Podcast.

Liz Bronson, VP of People at Skimmer, joined us on The Modern People Leader to talk about intentionally “flatlining” her career for a period of time to prioritize parenting. ----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode282Sponsor Links:

Did your brand just spend $7 million on a 30-second ad that alienated or ignored half its potential audience? Agility requires a willingness to challenge long-held assumptions—like the idea that a celebrity and a massive budget are all you need for a winning Super Bowl ad. It demands that brands move from gut feelings to data-driven insights to understand what truly resonates with their audience. Today, we're going to talk about the biggest advertising event of the year: the Super Bowl. Millions of dollars are spent, careers are made, and brands have one 30-second shot to capture the zeitgeist. But beyond the spectacle and the morning-after buzz, what actually drives results? We'll dig into the data behind the ads, exploring which brands successfully connected with key audiences, what the data says about using celebrities, and how the smartest brands think about the Super Bowl not as a single event, but as a strategic play in a much larger game.To help me discuss this topic, I'd like to welcome, Nataly Kelly, CMO at Zappi. About Nataly Kelly Nataly Kelly is Chief Marketing Officer at Zappi, based in Boston, MA. Previously she served at HubSpot as Vice President of Marketing, Vice President of International Operations and Strategy, and Vice President of Localization. Nataly Kelly on LinkedIn: https://www.linkedin.com/in/natalykelly/ Resources Zappi: https://www.zappi.io Take your personal data back with Incogni! Use code AGILE at the link below and get 60% off an annual plan: https://incogni.com/agile The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Get the Zappi Lessons in Advertising: Super Bowl LX report: https://www.zappi.io/web/learnings-from-super-bowl-ads-2026/Drive your customers to new horizons at the premier retail event of the year for Retail and Brand marketers. Learn more at CRMC 2026, June 1-3. https://www.thecrmc.com/ Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://advertalize.com/r/faaed112fc9887f3 Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

This Week In Startups is made possible by:Hubspot - http://clickhubspot.com/twist2Deel - http://deel.com/twistIru - http://www.iru.com/Today's show: Today on TWiST we're joined by 3 founders building on Open Claw,  Presh Dineshkumar, Vishnu, and Sean Liu!First, long time friend of the pod, Presh Dineshkumar, shows us how he's using Open Claw to automate his work at The Wellness Company. His Open Claw agent, Eywa, lives in his email and in his product, able to compile user lists at his discretion.Then, we're joined by Vishnu, who brings Open Claw to the masses. Non-technical folks, it's your lucky day! Time to get Clawd-shotted! Last, Sean Liu joins the show to tell us about how he's connecting Meta glasses to his Open Claw instance to interact with context that users can physically see!Timestamps:(0:00) We're joined by Presh Dineshkumar of the Wellness Company, another OpenClaw fanatic(1:50) We meet Presh's Replicant — Eywa — who spies on all of his emails(2:53) How Eywa is helping Presh keep track of his app's most active users(4:35) LLMs have become very smart but they are trapped in the corner(6:10) How Presh gave Eywa its own email address and avoids prompt injections(8:56) Using Presh's Replicant to do daily research dives(10:40) Hubspot: Check out the guide “Advanced ChatGPT Prompt Engineering: From Basic to Expert in 7 Days.” Download it for free at http://clickhubspot.com/twist2(13:21) Presh also has Eywa hunting down and fix bugs in his apps, all from email(16:16) Way more startups can be profitable now that they don't need 10+ person teams(19:15) Deel - Founders ship faster on Deel. Set up payroll for any country in minutes and get back to building. Visit http://deel.com/twist to learn more.(20:36) We're joined by two more OpenClaw builders: Vishnu and Xiaoan (Sean) Liu(21:16) Sean hooked his Meta Ray Bans up to his OpenClaw!(29:53) Iru unifies identity, endpoint security, and compliance into one platform. Book a demo at http://iru.com/(31:05) Some dystopian thoughts on how to use VisionClaw technology(32:47) What kinds of startups will get the most value out of OpenClaw?(34:43) Why Vishnu made a product to simplify OpenClaw set-up and security(37:34) What inspires people to stop considering OpenClaw and go “all in” on the tech(40:17) Will Vishnu and Sean quit their jobs and take Jason's investment $125K investment deal… YESSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com/Check out the TWIST500: https://twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcp*Follow Lon:X: https://x.com/lons*Follow Alex:X: https://x.com/alexLinkedIn: https://www.linkedin.com/in/alexwilhelm/*Follow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanis/*Thank you to our partners:(10:40) Hubspot: Check out the guide “Advanced ChatGPT Prompt Engineering: From Basic to Expert in 7 Days.” Download it for free at http://clickhubspot.com/twist2(19:15) Deel - Founders ship faster on Deel. Set up payroll for any country in minutes and get back to building. Visit http://deel.com/twist to learn more.(29:53) Iru unifies identity, endpoint security, and compliance into one platform. Book a demo at http://iru.com/Check out all our partner offers: https://partners.launch.co/

In this "behind-the-scenes" episode, Andy opens up his laptop to reveal the full tech stack running his consulting and media business in 2026. After conducting a massive software audit at the end of 2025, Andy realized he was paying for tools he didn't need—and using some tools for the wrong jobs. He details his major decision to migrate his CRM from Notion back to HubSpot, explains why "all-in-one" isn't always the answer, and lists the essential apps that keep his business profitable and efficient.I hope you enjoy it! As always you can learn more and connect with me on my website (andystorch.com) or LinkedIn. And you can find my books - Own Your Career Own Your Life and Own Your Brand, Own Your Career - on Amazon.

Search is decaying, attention is fragmented and AI is rewriting the rules faster than most teams can update their decks. If you're still planning content like it's 2019, you're already invisible.In this episode, Kyle Denhoff, Sr Director of Marketing at HubSpot, pulls the curtain back on what happens after the inbound era. We get brutally honest about why channel-first thinking is dead, how HubSpot rebuilt itself as a media company inside a SaaS giant, and why “always-on” isn't a buzzword—it's survival. Kyle also breaks down how AI is actually being used behind the scenes (no, not to replace marketers), and why taste, editorial judgment, and distribution matter more than ever in a world flooded with machine-made content.We also explore:Why “more content” is the fastest way to lose relevanceHow audience-first strategy replaces blogs, funnels, and campaign calendarsThe real way HubSpot uses AI to drive conversion—without killing the brandWhy creators and practitioners now beat brands in buyer trustThe uncomfortable truth: nobody has the playbook, and pretending you do is the riskThis is a reality check for B2B teams still clinging to templates while the ground shifts under them.

In this episode of FP&A Unlocked, host Paul Barnhurst sits down with Aswin Saravanan, VP of Finance at Qualtrics, to explore what it really takes for FP&A teams to move from insight to action. Aswin shares why trust is the foundation of strategic finance, how culture and vision enable better decision making, and why simplicity in financial modeling often delivers the greatest impactAswin is a strategic finance leader with over a decade of experience across global technology companies. He specializes in connecting strategy to execution and helping finance drive business outcomes. Currently the VP of Finance at Qualtrics, he brings deep expertise across corporate, product, and go-to-market finance. He has previously held leadership roles at Microsoft and HubSpot.Expect to LearnWhat great FP&A looks like as a strategic business partnerWhy is trust required to move from insight to actionHow culture and vision shape high-performing FP&A teamsThe importance of simple financial models over complex onesHow FP&A teams create strategic value that influences the futureHere are a few relevant quotes from the episode:“Taking something from insight to action requires trust. Without trust, nothing really moves.” - Aswin Saravanan“Great FP&A is when the team can be a proactive strategic partner and actually change the trajectory of the company.”- Aswin SaravananAswin Saravanan shares practical insights on how FP&A teams can move from reporting to truly influencing business outcomes. By building trust, setting a clear vision, and keeping financial models simple, finance leaders can turn insight into action. The conversation reinforces that strategic value comes from helping the business make better decisions about the future.Campfire: AI-First ERP:Campfire is the AI-first ERP that powers next-gen finance and accounting teams. With integrated solutions for the general ledger, revenue automation, close management, and more, all in one unified platform.Explore Campfire today: https://campfire.ai/?utm_source=fpaguy_podcast&utm_medium=podcast&utm_campaign=100225_fpaguyFollow Aswin:LinkedIn - https://www.linkedin.com/in/aswinsaravanan/Company - https://www.linkedin.com/company/qualtrics/Earn Your CPE Credit For CPE credit, please go to earmarkcpe.com, listen to the episode, download the app, and answer a few questions and earn your CPE certification. To earn education credits for FPAC Certificate, take the quiz on earmark and contact Paul Barnhurst for further details.In...

With a career spanning the US Navy, executive leadership positions at PetSmart and Banfield Pet Hospital, and pioneering online training, Don brings unique insights into building and scaling businesses across industries. Throughout the conversation, Avanish and Don discuss OpenSesame's evolution from an online learning marketplace to an AI-powered platform that serves enterprises, learning management systems, and content publishers. They explore the "Intel Inside" ecosystem strategy, the Simon AI tool that democratizes course creation and enables instant translation into 70 languages, and how organizations can successfully navigate workforce reinvention in the AI era while meeting customers where they are.In this episode, Avanish and Don discuss:OpenSesame's dual-sided platform strategy: Partnering with 200+ LMS/HRIS systems on the delivery side while aggregating 50,000 courses from 200+ publishers, providing distribution for small publishers to reach enterprise customers and enabling large publishers like Harvard Business Publishing to access mid-market and SMB segments.The Simon AI course creation tool: Democratizing content development by enabling subject matter experts to create high-quality courses without instructional designers, with built-in translation capabilities across 70 languages for voiceover and text—expanding global reach for multinational organizations.Workforce reinvention as strategic imperative: Positioning OpenSesame at the center of organizational AI transformation by providing not just technology but comprehensive change management roadmaps, helping HR and learning leaders guide their teams through adoption with curated content and use cases.The "meet them where they are" philosophy: Balancing long-term product vision with practical customer adoption paths, especially during transformational periods like AI implementation, by understanding customer needs deeply before prescribing solutions and allowing products to flex without compromising the ultimate vision.The 1% better daily improvement mindset: Embracing continuous learning and incremental progress as the foundation for breakthrough innovation, recognizing that overnight successes are built on consistent dedication and discipline over time.About Don Spear:Don Spear is CEO of OpenSesame. Before his current role, he founded BlueVolt.com, held executive leadership positions at Banfield Pet Hospital and PetSmart, and served as a submarine officer aboard the USS Tunny (SSN 682).About OpenSesameOpenSesame, the leading provider of online business training, is the choice for L&D professionals wanting to drive learning initiatives forward with innovation, agility, and care. We offer the world's most comprehensive digital learning catalog, with regularly updated content from expert publishers in a variety of formats and languages. By providing comprehensive learning resources and innovative tools like Simon, OpenSesame empowers L&D professionals to exceed their goals and champion learning across their entire organization.Host Avanish SahaiAvanish Sahai is a Tidemark Fellow and served as a Board Member of Hubspot from 2018 to 2023; he currently serves on the boards of Birdie.ai, Flywl.com and Meta.com.br as well as a few non-profits and educational boards. Previously, Avanish served as the vice president, ISV and Apps partner ecosystem of Google from 2019 until 2021. From 2016 to 2019, he served as the global vice president, ISV and Technology alliances at ServiceNow.  From 2014 to 2015, he was the senior vice president and chief product officer at Demandbase.  Prior to Demandbase, Avanish built and led the Appexchange platform ecosystem team at Salesforce, and was an executive at Oracle and McKinsey & Company, as well as various early to mid-stage startups in Silicon Valley.About TidemarkTidemark is a venture capital firm, foundation, and community built to serve category-leading technology companies as they scale.  Tidemark was founded in 2021 by David Yuan, who has been investing, advising, and building technology companies for over 20 years.  Learn more at www.tidemarkcap.com.LinksFollow our host, Avanish SahaiLearn more about Tidemark

In der heutigen Folge sprechen die Finanzjournalisten Philipp Vetter und Holger Zschäpitz über den AI Whateverpocalypse Trade, die wahren Gründe für den Lufthansa-Streik und den KI-Gewinner Vertiv. Außerdem geht es um CBRE Group, Jones Lang LaSalle, Cushman & Wakefield, Unity Software, Shopify, Hubspot, UIPath, Asana, SAP, Nemetschek, Dassault Systems, Relx, Flatex Degiro, Siemens Energy, Micron Technologies, Cisco, T-Mobile, Warner Brothers Discovery, Paramount-Skydance, McDonald's, Commerzbank, Schott Pharma, Gerresheimer, United Airlines, Delta, Air France-KLM, Easyjet, Ryanair, Scalable MSCI AC World Xtrackers ETF (WKN: DBX1SC), Finanzen.net MSCI World ETF (WKN: ETF300), Amundi MSCI World ETF (WKN: ETF146), Comdirect S&P All World State Street ETF (WKN: A41WW6), iShares Edge MSCI EM Value Factor ETF (WKN: A2JJAQ). Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts und AAA-Newsletter. Hier bei WELT: https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html. Der Börsen-Podcast Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte! https://linktr.ee/alles_auf_aktien Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

In this "behind-the-scenes" episode, Andy opens up his laptop to reveal the full tech stack running his consulting and media business in 2026. After conducting a massive software audit at the end of 2025, Andy realized he was paying for tools he didn't need—and using some tools for the wrong jobs. He details his major decision to migrate his CRM from Notion back to HubSpot, explains why "all-in-one" isn't always the answer, and lists the essential apps that keep his business profitable and efficient.I hope you enjoy it! As always you can learn more and connect with me on my website (andystorch.com) or LinkedIn. And you can find my books - Own Your Career Own Your Life and Own Your Brand, Own Your Career - on Amazon.

Our guest this week is wellbeing expert, bestselling author, keynote speaker and “doctor in happiness” - Andy Cope.Andy really does have a PhD in happiness and after spending just an hour with him, our days already felt brighter.That ripple effect is a big part of what Andy talks about, how just a few people with positive energy, giving just a few minutes of their time, can make a huge difference at work and at home.We also discuss mindfulness, the Japanese phrase "ichi-go ichi-e" (for this time only), and noticing the positives.It was also Andy who introduced us to the concept of the seven-second hug. If you've listened to the podcast before, you'll almost certainly have heard us mention it!More about Andy:The Art of Brilliance https://www.artofbrilliance.co.uk/The Art of Being Brilliant https://www.artofbrilliance.co.uk/product/the-art-of-being-brilliant-book-new-edition/Spy Dog (children's book) https://www.amazon.co.uk/Spy-Dog-Andrew-Cope/dp/0141318848 With thanks to our sponsors for this episode:JHB & Partners: https://jhbandpartners.com/Many of the in-house lawyers who listen will recognise Josh Blake as an expert in legal resourcing. Last year he established JHB & Partners and continues to support in-house legal teams to build, scale and optimise their legal functions.With their extensive experience in resourcing and strategic insight, Josh and his team at JHB & Partners provide a real sense of calm and reassurance, which is exactly what you need whether you're hiring or looking for a role. You can find out lots more about Josh and his team at www.jhbandpartners.com. Get in touch and don't forget to mention the podcast when you do.Summize: https://www.summize.com/Summize is an AI-powered contract lifecycle management platform, designed to break the cycle of forgotten obligations, scattered intake, and contract chaos.Meeting teams where they already work, embedding seamlessly into tools like Outlook, Teams, Slack, Salesforce, and HubSpot, Summize makes adoption simple. With self-serve contracting to reduce workload, seamless integrations to create structure, and powerful AI that supports and enhances legal expertise, Summize helps legal teams operate with confidence and clarity, freeing up that all-important capacity so that we humans can focus on the areas where we add unique value. Get in touch with them at www.summize.com - and mention the How to Thrive podcast.How to Thrive events:Our events are a chance to come together with other Community Members to network and share learnings in a safe space. All of our events are focussed on HOW to thrive and deliver practical skills that you can incorporate into your work and home lives.Your How to Thrive hosts:Claire Sanders, former Corporate Lawyer, General Council and Co-Founder of .Helen Silver-MacMahon, Human Factors Specialist, Veterinary Nurse and Co-Founder of Being Human Consulting.Music Credit: Lo-Fi Hip Hop (Never Old Fashioned) by Alex KizenkovPodcast Production: Anthony Zahra Hosted on Acast. See acast.com/privacy for more information.

Welcome back to the next installment of my Client Testimonial series, where we hear from my 1:1 personal training clients about their experience working with me, and how they've transformed their body/mind/soul via strength training.In this episode, we discuss Parisa's longing for a competitive athletic outlet in adulthood, how strength training finally alleviated her chronic pain, and how getting strong has transformed not only her physical body but also the way she moves through the world.This episode is for: lifelong athletes who don't feel challenged enough in adult team sports, those living with chronic pain who are curious if strength training could solve it for good, people whose past experiences with personal training felt random and disconnected, and anyone who's wasted years of their life picking apart their body in the mirror and are ready to build a new relationship with themselves from the inside out

Isabel Naidoo, Chief People Officer at Wise, joined us on The Modern People Leader to share how Wise builds a cohesive employee experience across global offices while still honoring local identity. ----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode281Sponsor Links:

New podcast series within Tacos and Tech: AI Builders Roundtable!Neal sits down with Craig Lauer and Ross Young on a day both Anthropic and OpenAI dropped major releases to talk about what it actually looks like to build with AI right now. Ross walks through how his team at Clinically AI built an internal AI operating system using Claude Co-work - from voice-interviewing department heads to capture tribal knowledge, to running full pipeline reviews from HubSpot in natural language. Craig shares how LaunchMate, the AI co-pilot he's building for student founders at SDSU's Zip Launchpad, uses persistent memory and multi-agent communication to keep founders moving. The conversation moves from tools to workflows to a surprisingly honest riff on identity - and what it means when intelligence is no longer your competitive advantage.Key Topics Covered:* The Anthropic 4-6 / OpenAI Codex same-day release and what it signals* LaunchMate: AI agents with persistent memory for founders, mentors, and cohort management at SDSU Zip Launchpad* “Tidbits” — auto-generated founder progress updates (”share without sharing”)* Ross's AI operating system at Clinically AI: markdown knowledge bases, Claude Co-work projects, HubSpot integration, voice-mode interviews for tribal knowledge capture* The AI capability spectrum: chatbots → cloud agents with tool access → local agents with full computer access* OpenClaw vs. Co-work: excitement vs. enterprise readiness and security* Craig's LettaBot/WhatsApp cautionary tale* Natural language as the new programming language - and why social workers may outperform engineers at agent programming* Processes they'll never go back to: manual contract redlines, email triage* Identity in the age of AI - detaching professional worth from intelligenceLinks & Resources:* Clinically AI* SDSU Zip Launchpad* Claude Co-work by Anthropic* LaunchMate (in development)Connect on LinkedIn:* Craig Lauer* Ross Young* Neal Bloom This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit risingtidepartners.substack.com/subscribe

In this episode of The LinkedIn Marketer I chat to World-Renowned, Award Winning Portrait Specialist, Jason Malouin. about his work with real people doing big things who care deeply about how they show up and the impact they have in the world.Jason's work can be seen on the pages of Entrepreneur, GQ, Forbes, Financial Review, dozens of book covers and billboards & bus stops all over the world.  His understanding of light, lines and gesture is only surpassed by his understanding of the entrepreneur's journey.  He has been photographing 'professionals on the rise' exclusively for over 15 years and loves working with real people doing big things who care deeply about how they show up and the impact they have in the world.Anyone who has been photographed by Jason understands that the images are secondary.  His clients know the real value of his process is the chance to profoundly redefine themselves and communicate that on a deeply fundamental level to your audience. It's an opportunity to hold up a mirror and - if you're open - give yourself a chance to see yourself differently.  For my listeners I want you to hear from thought leaders like Jason, who are helping people confidently navigate LinkedIn (and beyond). It is my hope that Jason's story will inspire you to consider how you are showing up for yourself and on LinkedIn.Connect with JasonSuperpower Portraits Website: www.superpowerportraits.com LinkedIn: https://www.linkedin.com/in/jasonmalouin/Insta: https://www.instagram.com/superpowerportraits/Facebook: https://www.facebook.com/SuperpowerPortraitsJason has also generously provided these resources for you:The Powerful Promises meditation we spoke about that completely changed Jason's life - ⁠https://insig.ht/Eu6N3CNRh0b⁠Identity Alchemy - https://bit.ly/4rIbKay Vision & Values Alignment Guide - https://bit.ly/3OjzjYRSmall Hinges Swing Big Doors - Behavioural Branding 'Swipe File' -  https://bit.ly/4tJHGxk5 Powerful Habits that Attract Fully Aligned Clients - https://bit.ly/4bJSNzL13 Questions to Ask When Hiring a Photographer (beyond "What does it cost?" and "What do I get?") - https://bit.ly/4qxwhh8Think Bespoke Resources:Sign up to my newsletter (sent via Hubspot) and get your free LinkedIn Profile Checklist https://thinkbespoke.com.au/linkedin-profile-checklist-3/Follow me on LinkedIn https://www.linkedin.com/in/karenhollenbach/Think Bespoke's Knowledge Basehttps://thinkbespoke.com.au/insights-blog-2/Elevate with KPH (Substack) https://thelinkedinmarketer.substack.com/

Recently, a seller sent me a voice note asking why his framework is failing him every single time. I am sure other sellers are facing this same issue, and in this episode, I am going to share how to fix it. Sales is not a black and white solution. It is filled with ambiguity. My advice will help you navigate those gray areas with more confidence.Beyond the FrameworkI start by challenging the idea that just following a sales framework guarantees success.Every sales scenario has unpredictable human factors, so sticking strictly to a process is not enough. You have to be ready to adapt and read the situation in real time.The Power of Reviewing the TapeOne of my biggest recommendations is to listen back to your recorded calls, either on your own or with someone you trust. This gives you a more objective perspective on what is working and what is not. I also suggest using tools like ChatGPT to analyze transcripts or get external feedback. It is a great way to spot patterns you might miss.Taking and Maintaining ControlBefore every call, set an agenda and make sure both you and the prospect are aligned on the outcomes. If you give up that control, the prospect will take the lead and that usually leads to ambiguity or stalled deals. Staying in control does not mean being pushy. It means guiding the conversation toward results.Always Secure a Next StepNever leave a meeting without scheduling the next step. I have lost deals in the past because I did not do this, and it kills momentum fast. Make it a habit to lock in what comes next before the call ends.Courage to Ask the Tough QuestionsGoing through the motions is not enough. Developing the art of sales means reading between the lines and asking the uncomfortable questions. That is what separates great sellers from everyone else. You have to be willing to challenge your prospects in a way that adds value and drives clarity."There's a lot of gray areas in sales, especially when you're dealing with humans who tend to be unpredictable." - Donald KellyResourcesKeep track of your sales activity and boost your results with the Prospect Pro sales tool.Join the LinkedIn Prospecting Course to improve how you use LinkedIn and book more consistent, high-quality sales appointments.Visit Blue Mango Studios for help in creating podcast production content. Sponsorship OffersThis episode is brought to you in part by Hubspot.With HubSpot sales hubs, your data tools and teams join a single platform to close deals and turn prospects into pipelines. Try it for yourself at hubspot.com/sales.This episode is brought to you in part by LinkedIn.Are you tired of prospective clients not responding to your emails? Sign up for a free 60-day trial of LinkedIn Sales Navigator at linkedin.com/tse.This episode is brought to you in part by the TSE Sales Foundation.Improve your connection on LinkedIn and land three

When you give a presentation of any kind, you don't actually have a captive audience. YOU need to captivate. This is a story structure that can both captivate your audience AND deliver the message or lesson they most need (and you need to distribute to do your job).As mentioned, there are just a few spaces left in the next cohort of my public speaking accelerator. Grab yours here:Join the next cohort of Design My Signature Talk (starts Feb. 23, 2026)→***ABOUT ME, JAY ACUNZOI work with entrepreneurs, execs, and teams on the journey from competent to resonant. To do that, I help transform your thinking into clear, captivating ideas, speeches, and IP. Stop chasing attention. Become the one others seek.I'm a former marketing leader at Google and HubSpot and globally touring speaker and author. I've spent 20 years building the exact thought leadership I now help clients create—as a practitioner-peer, not a coach with templates.Work with me 1:1, book me to speak, or explore free resources at jayacunzo.comDon't market more. Matter more.Think resonance over reach.Don't be the best. Be their favorite.***ENJOY THE SHOW? PLEASE SAY THANKS!Leave a review on Apple Podcasts Leave a rating on Spotify Thanks for listening!

Mark Roberge is calling it now: we are about to witness the highest failure rate for a single cohort of startups in the history of tech. As author of Science of Scaling, and co-founder of Stage 2 Capital, Mark joins the pod to dismantle the "growth at all costs" mindset that still plagues founders. He explains why the assembly-line sales model is dead and how AI will force a return to the full-cycle "rainmaker" rep. **Key moments:** The AI Bubble: Why the index fund of the last two years of AI investments is likely doomed. Fixing Your ICP: And how optimizing for CAC or inbound volume without ICP fundamentals in place is a recipe for disaster The 80% Rule: How AI moves reps from 25% selling time to 80%, and what that means for the future of SDR, AE, and CS functions LIR - What it is and Why It Matters: Why every board deck needs a a LIR slide to predict product-market fit before revenue numbers hit **Note:** Mark is donating 100% of the proceeds from his new book to mental health causes. Grab a copy of *The Science of Scaling* on Amazon!   Subscribe to Topline Newsletter. Tune into Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech. Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast!   Chapters: 00:00 Introduction: Mark Roberge and The Science of Scaling 03:44 Founder Turnover and Loyalty in the AI Era 06:18 Navigating Founder Burnout and Strategic Pivots 16:30 Predicting High Failure Rates for AI-Native Startups 18:57 The Origin Story Behind The Science of Scaling 24:51 Why Most Companies Define Their ICP Wrong 28:34 The Leading Indicator of Retention (LIR) Framework 32:30 Real-World Example: Shifting ICP Based on Retention 37:22 Who Should Own Product-Market Fit? 43:23 Transitioning GTM Strategies from SaaS to AI 47:29 The End of Specialization: Collapsing GTM Roles 51:12 Solving GTM Inefficiency by Increasing Selling Time 56:50 How to Pilot the Consolidated "Ninja AE" Role 01:04:29 Designing Organizations for Rainmakers vs. Average Reps 01:08:01 Mental Health, Gratitude, and Closing Thoughts  

It's the episode you've been waiting for. Joe Pulizzi and Robert Rose bring together their favorite rants and raves in one fast-moving supercut that tackles the biggest questions facing marketers and creators right now. Is print really making a comeback, or are we just nostalgic for a slower, more thoughtful era of media? Why does everyone seem so certain in a world that's becoming more complex by the day? And is "thoughtful marketing" finally ready for its return after years of hacks, shortcuts, and algorithm chasing? The guys also dig into a question every content team should be asking: Is content actually broken, or is the real problem your org chart? Along the way, Joe and Robert explore what might be the next great opportunity for marketers and content entrepreneurs who are willing to zig while everyone else zags. Big ideas. Sharp opinions. A few laughs. And plenty to argue about on your next walk or commute. You don't want to miss this one. Subscribe and Follow: Follow Joe Pulizzi and Robert Rose on LinkedIn for insights, hot takes, and weekly updates from the world of content and marketing.  ------- This week's sponsor: Did you know that most businesses only use 20% of their data? That's like reading a book with most of the pages torn out. Point is, you miss a lot. Unless you use HubSpot. Their customer platform gives you access to the data you need to grow your business. The insights trapped in emails, call logs, and transcripts.  All that unstructured data that makes all the difference. Because when you know more, you grow more. Visit https://www.hubspot.com/ to hear how HubSpot can help you grow better. ------- Get all the show notes: https://www.thisoldmarketing.com/ Get Joe's new book, Burn the Playbook, at http://www.joepulizzi.com/books/burn-the-playbook/ Subscribe to Joe's Newsletter at https://www.joepulizzi.com/signup/. Get Robert Rose's new book, Valuable Friction, at https://robertrose.net/valuable-friction/  Subscribe to Robert's Newsletter at https://seventhbearlens.substack.com/ ------- This Old Marketing is part of the HubSpot Podcast Network: https://www.hubspot.com/podcastnetwork

Chase Warrington, Head of Operations at Doist, joined us on The Modern People Leader to break down how async-first work enables faster decision-making, stronger culture, and scalable operations. We talked about building trust without offices, the systems and rituals behind Doist's execution velocity, and why async workflows are foundational to effective AI adoption.----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode280Sponsor Links:

Mientras muchas empresas convirtieron el regreso a la oficina en una guerra de control, HubSpot hizo algo radicalmente distinto: rediseñó el sistema. Lo llamó Hybrid by Design y los resultados hablan por sí solos. En este segundo episodio de Código Abierto, decodificamos el caso de HubSpot: una empresa donde el 72% del equipo trabaja remoto, el compromiso es más alto que en la oficina y el negocio sigue creciendo a doble dígito. Hablamos de diseño organizacional, claridad como arquitectura y cultura como ventaja competitiva. Suscríbete a Hackers del Talento si quieres más análisis reales de estrategias de talento.

Dan Nathan hosts Rishi Jaluria from RBC Capital on the 'Okay, Computer' podcast, discussing the recent downturn in software stocks amid a contrasting performance in the semiconductor sector. Rishi attributes the decline to the rise of AI and its transformative impact on software companies. The conversation covers the uncertain future of enterprise software, with examples like Salesforce and Oracle experiencing significant drops. They explore how AI adoption could drive margin expansion across various industries, including retail and oil and gas. Finally, the potential of companies like Microsoft and HubSpot to leverage AI for growth is considered, along with the future role of AI leaders OpenAI, Anthropic, and Google in shaping the tech landscape. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media

Manuela Barcenas breaks down how marketing work has flipped from “writer + editor” to “manager of agents.” She shares two concrete workflows: (1) using Claude Projects to reposition and modernize 100 legacy blog posts in a week (including updated product messaging, AI-forward advice, and internal links), and (2) using Fellow's “Ask Fellow” to mine anonymized customer-call transcripts for original quotes and pain points—then turning those insights into publish-ready integration/use-case articles in hours, not weeks. The throughline: output is easy now; taste, judgment, and review are the differentiators.Timestamps0:00–0:00 - Intro1:18–2:54 Early Fellow days: one blog/week, months-long ebooks, craftsmanship vs scale3:06–3:26 Scale expectations now: Amazon's ebook upload limit anecdote (3/day)3:40–4:30 Fellow previously managing an “army of writers” → now mostly AI/agents4:36–5:00 “Taste” as the differentiator: what good content is + standing out5:53–7:12 The 100-post update explained: not link swaps—full repositioning + modernized advice7:25–9:36 Switching from ChatGPT to Claude; LinkedIn poll results + “context retention” theme9:48–10:21 Claude Projects setup: separate projects to maintain context and instructions14:43–15:29 Prompt versioning: internal links, new features, and repeated refinement cycles18:55–19:20 Demo: paste URL → Claude fetches page → follows checklist automatically19:26–20:24 Manuela's QA: she reads/edits everything; “taste” = final layer (like editing writers)21:38–23:17 Claude Skills discussion: turning repeated workflows into reusable MD “skills” (personal vs company-wide)25:42–26:26 SEO myth: focus isn't “AI penalty,” it's originality and substance (quotes, stats, real insight)26:38–28:39 Original content engine: Ask Fellow pulls anonymized customer-call insights by feature/integration28:39–31:21 Building documents from transcripts (pain points, best practices, FAQs, quotes) → export to Doc/PDF31:21–33:29 Feed exported insights into Claude Project to draft a tight article rich with customer quotes33:29–36:06 Why it works: management loop (outcomes → constraints → review → feedback) at faster cadence36:18–37:30 What's next: Claude Code / Claude “co-work”; projects as “mini employees”37:02–38:06 Personal brand workflow: Claude analyzes best LinkedIn posts → style guide + voice-based drafting (Whisper Flow)38:28–39:12 Wrap: AI speed is real; staying current requires constant learningTools & technologies mentioned (with brief descriptions)Claude (Anthropic) — LLM used for higher-quality long-context writing, structured rewrites, and content systems.Claude Projects — Workspace feature to keep persistent instructions/context per workflow (e.g., content optimization agent).Claude Skills — Reusable capabilities packaged as uploaded markdown files (personal or org-wide) to standardize output.Claude Code / Claude “co-work” — Anthropic workflows/webinars referenced for deeper automation beyond writing (emerging).ChatGPT — Baseline comparison model; Manuela notes switching due to Claude's perceived context + output quality.Excel + Claude — Mentioned via finance demo: using Claude in Excel to build financial models.Fellow.ai — AI meeting assistant used for transcripts, summaries, action items, and cross-tool integrations.Ask Fellow — Fellow feature that queries meeting knowledge (calls/transcripts) to generate anonymized insight docs.Anonymization (in Fellow) — Removes identifying customer details while preserving job titles/quotes for safe content use.Integrations (examples named) — Slack, Asana, HubSpot, Salesforce, Linear, Jira, Confluence (tools Fellow connects with).Whisper Flow — Voice-to-text capture tool used to speak ideas, then convert into styled writing (e.g., LinkedIn drafts).Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

This week, Jamie Russo tackles a slightly uncomfortable question—especially for someone who runs a program called Community Manager University. But if you're struggling to find quality candidates when you post that job title, this episode might change how you think about recruiting. Here's the problem: the community manager title anchors candidates on member interaction and engagement. But the actual job? It's pipeline management, CRM updates, billing follow-up, vendor coordination, office turnovers, social media, sales tours, and—oh yeah—also community building. When you hire someone expecting to spend their day chatting with members and they end up spending three hours in HubSpot, you've got a mismatch. And that mismatch starts with the title. We talk about: Why "Location Manager" might attract better candidates (and who's testing it successfully) How to prioritize the five hats: operations, community building, sales & marketing, finance, and leadership The front-of-house vs back-of-house split when you have two people on site Why the biggest gap is CRM use—and how the title sets the wrong expectations How to design a daily schedule based on what actually matters most in your business right now When community manager IS the right title (and when it's not) The downloadable template to help you prioritize hats and write a job description that matches reality This conversation is for operators who are tired of hiring people who don't fit the role—or who lose great team members because the job wasn't what they expected. If you're about to post a job or wondering why your last hire didn't work out, this episode will help you rethink your approach. Resources Mentioned in this Podcast: Profit Accelerator Program Everything Coworking Featured Resources: Masterclass: 3 Behind-the-Scenes Secrets to Opening a Coworking Space Coworking Startup School Community Manager University Follow Us on YouTube

In this episode, Pat Damer, SVP of Revenue at Arcis Golf (70 properties, $1B portfolio), shares with Ed Heil how his company transformed from managing 3 clubs to 70 by prioritizing revenue operations, smart technology adoption, and member-first service. From sticky note CRMs to enterprise automation, Pat walks through the practical evolution of club operations and why revenue growth creates better member experiences. This conversation cuts through the usual tech-versus-tradition debate with clear examples of how automation enhances, not replaces, exceptional service. If you're managing one club or scaling multiple properties, Pat's perspective on starting small, getting quick wins, and choosing the right tools will give you a practical path forward. Episode Highlights: 01:23 – The rocket ship years: Growing from 3 clubs to 70 properties 04:18 – Investment philosophy: Why deferred maintenance and member experience both matter 06:19 – The "declare your major" conversation that shaped Pat's revenue-first approach 08:39 – Why revenue fixes more problems than cost-cutting 09:18 – Operational software vs. experience software: Understanding the distinction 14:42 – The HubSpot pivot: Moving from Salesforce to an integrated CRM platform 22:30 – Lead generation reality check: Why most clubs don't need traditional pipeline management 26:04 – Member journey automation: Pre-arrival, birthdays, and personalized communication 31:40 – The integration challenge: Why siloed systems create operational friction 37:46 – Technology and exceptional service aren't mutually exclusive 40:34 – First steps for club leaders: Start small, get quick wins, build buy-in

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss autonomous AI agents and the mindset shift required for total automation. You’ll learn the risks of experimental autonomous systems and how to protect your data. You’ll discover ways to connect AI to your calendar and task managers for better scheduling. You’ll build a mindset that turns repetitive tasks into permanent automated systems. You’ll prepare your current workflows for the next generation of digital personal assistants. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-what-openclaw-moltbot-teaches-us-about-ai-future.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn [00:00]: In this week’s In Ear Insights, let’s talk about autonomous AI. The talk of the town for the last week or so has been the open source project first named Claudebot, spelled C L A W D. Anthropic’s lawyers paid them a visit and said please don’t do that. So they changed it to Maltbot and then no one could remember that. And so they have changed it finally now to Open Claw. Their mascot is still a lobster. This is in a condensed version, a fully autonomous AI system that you install on a. Christopher S. Penn [00:35]: Please, if you’re thinking about on a completely self contained computer that is not on your main production network because it is made of security vulnerabilities, but it interfaces with a bunch of tools and hasn’t connected to the AI model of your choice to allow you to basically text via WhatsApp or Telegram with an agent and have it go off and do things. And the the pitch is a couple things. One, it has a lot of autonomy so it can just go off and do things. There were some disasters when it first came out where somebody let it loose on their production work computer and immediately started buying courses for them. We did not see a bump in the Trust Insights courses, so that’s unfortunate. But the idea being it’s supposed to function like a true personal assistant. Christopher S. Penn [01:33]: You just text it and say hey, make me an appointment with Katie for lunch today at noon PM at this restaurant and it will go off and figure out how to do those things and then go off and do them. And for the most part it is very successful. The latest thing is people have been just setting it loose. They a bunch of folks created some plugins for it that allow it to have its own social network called Mult Book, where which is a sort of a Reddit clone where hundreds of thousands of people’s open Claw systems are having conversations with each other that look a lot like Reddit and some very amusing writing there. Christopher S. Penn [02:12]: Before I go any further Katie, your initial impressions about a fully autonomous personal AI that may or may not just go off and do things on its own that you didn’t approve? Katie Robbert [02:24]: Hard pass period. No, and thank you for the background information. So I, you know, as I mentioned to you, Chris Offline, I don’t really know a lot about this. I know it’s a newer thing, but it’s like picked up speed pretty quickly. I thought people were trying to be edgy by spelling it incorrectly in terms of it being part of Claude, but now understanding that Claude stepped in and was like heck no. That explains the name because I was very confused by that. I was like, okay, you know, I, I think a lot of us have always wanted some sort of an admin or personal assistant for paperwork or, you know, making appointments and stuff. Like, so I can definitely see the potential. Katie Robbert [03:10]: But it sounds like there’s a lot of things that need to be worked out with the technology in terms of security, in terms of guardrails. So let’s say I am your average, everyday operations person. I’m drowning in the weeds of admin and everything, and I see this as a glimmer of hope. And I’m like, ooh, maybe this is the thing. I don’t know a lot about it. What do I need to consider? What are some questions I should be asking before I go ahead and let this quote unquote, autonomous bot take over my life and possibly screw things up? Christopher S. Penn [03:54]: Number one, don’t use this at work. Don’t use this for anything important. Run this on a computer that you are totally okay with just burning down to the ground and reformatting later. There are a number of services like Cloudflare, with Cloudflare’s workers and Hetzner and a bunch of other companies that have, they very quickly, very smartly rolled out very inexpensive plans where you can set up a open clause server on their infrastructure that is self contained and that at any point you just, you can just hit the self destruct button. Katie Robbert [04:27]: Well, and I want to acknowledge that because you said, you know, you started by saying, like, any computer, I don’t know a lot of people besides yourself and other handful who have extra computers lying around. You know, it’s not something that the average, you know, professional has. You know, some of us are using, you know, laptops that we get from the company that we work for and if we ever leave that job, we have to give that computer back. And so we don’t have a personal computer. Speaker 3 [04:59]: So it’s number one. Katie Robbert [05:01]: It’s good to know that there are options. So you said Cloudflare, you said, who else? Christopher S. Penn [05:06]: Hetzner, which is a German company, basically, anybody that can rent you a server that you can use for this type of system. What the important thing here is not this particular technology, because the creator has said, I made this for myself as kind of a gimmick. I did not intend for people to be deploying clusters of these and turning into a product and trying to sell it to people. He’s like, that’s not what it’s for. And he’s like, I intentionally did not put in things like security because I didn’t want to bother. It was a fun little side project. But the thing that folks should be looking at is the idea. The idea of. We’ve done some episodes recently on the Trust Insights livestream about Claude Code and Claude Cowork, which Cowork, by the way, just got plugins. Christopher S. Penn [05:58]: So all those skills and things, that’s for another time, but when you start looking at how we use things like Claude code. This morning when I got into the office, I fired up Claude Code, opened it in my Asana folder and said, give me my daily briefing. What’s going on? It listed all these things and I immediately just turn on my voice memo thing. I said, this is done. Let’s move this due date, this is done. And it went off and it did those things for me. Someone who hated using project management software like this now, I love it. And I was like, okay, great, I can just tell it what to do. And it does. And I actually looked. I opened up an asana looked, and it not only created the tasks, but it put in details and descriptions and stuff like that. Christopher S. Penn [06:44]: And it now also prompts me, hey, how much time do you think this will take? I’ll put that in there too. I’m like, this is great. I don’t have to do anything other than talk to it. Something like openclaw is the next evolution of a thing like Claude Code or Open or Claude Coerc, where now it’s a system that has connection to multiple systems, where it just starts acting like a personal assistant. I’m sure if I wanted to invest the time, and I probably will, I’m going to make a Python connector to my Google Calendar so that I can say in my Asana folder, hey, now that you’ve got my task list for this week, start blocking time for tasks. Christopher S. Penn [07:26]: Fill up my calendar with all the available slots with work so that I can get as much done as possible, which will make me more productive at a personal level. When people see systems like OpenClaw out there, they should be thinking, okay, that particular version, not a good idea. But we should be thinking about how will our work look when we have a little cloud bot somewhere that we can talk to, like a PA and say, fill up my calendar with the important stuff this week. Speaker 3 [07:58]: Right? Christopher S. Penn [07:59]: Yeah, because you’ve connected it to your son, you’ve connected your Google Calendar, you’ve connected to your HubSpot. You could say to it, hey, as CEO, you could say, hey, open agent, fill Up. Go look in HubSpot at the top 20 deals that we need to be working on and fill up John’s calendar with exact times that he should be calling those people. Right. Katie Robbert [08:24]: I’m sorry, in advance. I’m gonna do that. Christopher S. Penn [08:27]: He’s been saying, hey, it looks like Chris has gotten some time on Friday open agent. Go and look in Chris’s asana and fill up his day. Make sure that he’s getting the most important things done. That as a manager, you know, with permission, obviously is where this technology should be going so that you could, like, this is the vision. You could be running the company from your phone just by having conversations with the assistant. You know, you’re out walking Georgia and you’re like, oh, I forgot these three things and I need to do lunch here and I do this. Go, go take care of it. And like a real human assistant, it just does those things and comes back and says, here’s what I did for you. Katie Robbert [09:10]: Couple questions. One, you know, I hear you when you’re saying this is how we should be thinking about it. You are someone who has more knowledge than the most of us about what these systems can and can’t do. So how does someone who isn’t you start thinking about those things? Let’s just start with that question. You know, and I know that this, know I always come back to. I remember you wrote this series when we worked at the agency and it was for IBM. So you know, for those who don’t know, Chris is a, what, eight year running IBM champion. Congratulations on that. That is, I mean that’s a big deal. Katie Robbert [09:56]: But it was the citizen analyst post series that always stuck with me because I always, I’d never heard that terminology, but it was less about what you called it and more about the thinking behind it. And I think we’re almost, I would argue that we’re due for another citizen analyst, like series of posts from you, Chris, like, how do we get to thinking about this the way that you’re thinking about it or the way that somebody could be looking at it and you know, to borrow the term the art of the possible, like, how does someone get from. There’s a software, I’ve been told it does stuff, but I shouldn’t use it. Okay, I’m going to move on with my day. Katie Robbert [10:41]: Like, how does someone get from that to, okay, let me actually step back and look at it and think about the potential and see what I do have and start to cobble things together. You know, I feel like it’s maybe the difference between someone who can cook with a recipe and someone who can cook just by looking inside their pantry. Christopher S. Penn [11:01]: I, the cooking analogy is a great one. I would definitely go there because you have to know when you walk into the kitchen what’s in here, what are the appliances, what do we have for ingredients, how do those ingredients go together? Like for example chocolate and oatmeal generally don’t go well together. At least not as a main. It’s kind of like when you look at the 5PS platform we always say this in most situations do not start with the technology, right? That’s, that’s a recipe usually for not things not going well. But part of it is what’s implicit in platform is that you know what the platforms do, that you know what you have. Because if you don’t know what you have and you don’t know how to use them, which is process, then you’re not going to be as effective. Christopher S. Penn [11:46]: And so you do have to take some time to understand what’s in each of the five P’s so that you can make this happen. So in the case of something like an open claw or even actually let’s go, let’s take a step back. If you are a non technical user and you’re, let’s say you decide I’m going to open up Claude Cowork and try and make a go of this, the first question I would ask is well what things can it connect to? That’s an important mindset shift is what can I connect this to? Because we’ve all had the experience where we’re working like a chat GPT or whatever and it does stuff and it’s like fun and then like well now I got go be the copy paste monkey and put this in other systems. Christopher S. Penn [12:29]: When you start looking at agentic AI that where do I have to copy paste? This should be a shorter and shorter list every day as companies start adding more connectors. So when you go to Claude Cowork you see Google Drive, Google Calendar, fireflies, Asana, HubSpot, etc. And that’s your first step is go what does it connect to? And then you take a look at your own process in the 5ps and go of those systems. What do I do? Oh I every Monday I look in HubSpot and then I look in Google Analytics and then I look here and look here and go well if I wrote down that process as a standard operating procedure and I handed that sop as a document to Claude in cowork. I could literally asking, hey, how much of this could you do for me? Christopher S. Penn [13:21]: And just tell me what to look at. So first you got to know what’s possible. Second, you got to know your process. Third, you have to ask the machine can how much of this can you do? And then you have to think about and this is the important question, what, Given all this stuff that you have access to, what could you do that. I am not thinking about that. I’m not doing that. I should be. The biggest problem we have as humans is we do not. We are terrible at white space. We are terrible at knowing what’s not there. We. We look at something we understand, okay, this is what this thing does. We never think, well, what else could it do that I don’t know? This is where AI is really smart because it’s been trained on all the data. Christopher S. Penn [14:09]: It goes well, other people also use it for this. Other people do this. Or it’s capable of doing this. Like, hey, you’re asana. Because it contains a rudimentary document management system, could contain recipes. You could use it as a recipe book. Like you shouldn’t, but you could. And so those are kind of the mindset things. And the last one I’ll add to that. There’s something that I know, Katie, you and I have been talking about as we sort of try and build a. A co AI person as well as a co CEO to sort of the mirror the principles of trust. Insights is one of the first things that I think about every single time I try to solve a problem is this a problem that can solve with an algorithm? This is something that I Learned from Google 15 years ago. Christopher S. Penn [14:56]: Google in their employee onboarding says we favor algorithmic thinkers. Someone who doesn’t say, I’m going to solve this problem. Somebody who thinks, how can I write an algorithm that will solve this problem forever and make it go away and make it never come back? Which is a different way of thinking. Katie Robbert [15:14]: That’s really interesting. Speaker 3 [15:17]: Huh? Katie Robbert [15:18]: I like that. And I feel like. I feel like offline. I’m just going to sort of like. Speaker 3 [15:23]: Make that note for us. Katie Robbert [15:24]: I want to explore that a little bit more because I really, I think that’s a really interesting point. Speaker 3 [15:31]: And. Katie Robbert [15:31]: It does explain a lot around your approach to looking at this. These machines, as you’re describing, sort of the people are bad with the white space. It reminds me of the case study that was my favorite when I was in grad school. And it was a company that at The Time was based in Boston. I honestly haven’t kept up with them anymore. But it was a company called Ideo and ido. One of the things that they did really well was they did basically user experience. But what they did was they didn’t just say, here’s a thing, use it. Let us learn how you’re using the thing. They actually went outside and it wasn’t the here’s a thing, use it. It’s let us just observe what people are doing and what problems they’re having with everyday tasks and where they’re getting stuck in the process. Katie Robbert [16:28]: I remember this is just a side note, a little bit of a rant. I brought this case study to my then leadership team as a way to think differently about how, you know, because were sort of stuck in our sales pipeline and sales were zero and blah, blah. And I got laughed out of the room because that’s not how we do it. This is how we do it. And, you know, I felt very ashamed to have tried something different. And it sort of was like, okay, well that’s not useful. But now fast forward jokes on them. That’s exactly how you need to be thinking about it. Katie Robbert [17:03]: So it just, it strikes me that we don’t necessarily, yes, we need to understand the software, but in terms of our own awareness as humans, it might be helpful to sort of maybe isolate certain parts of your day to say, I am going to be very aware and present in this moment when I’m doing this particular task to see. Speaker 3 [17:31]: Where am I getting stuck, where am. Katie Robbert [17:32]: I getting caught up, where am I getting distracted and then coming back to it? And so I think that’s something we can all do. And it sounds like, oh, that’s so much extra work, I just want to get it done. Well, guess what? Speaker 3 [17:45]: Those tasks that you’re just trying to. Katie Robbert [17:47]: Survive and get through, they are likely the ones that are best candidates for AI. So if we think back to our other framework, the TRIPS framework, which is. Speaker 3 [17:57]: In this list somewhere, here it is. Katie Robbert [18:01]: Found it. Trust, insights, AI trips, time, repetitiveness, importance, pain, and sufficient data. And so if it’s something that you’re doing all the time, you’re just trying to get through, may be a good candidate for AI. You may just not be aware that it’s something that AI can do. And so, Chris, to your point, it could be as straightforward as. All right, I just finished this report. Let me go ahead and just record voice, memo my thoughts about how I did it, how it goes, how often I do it, give it to even something like a Gemini chat and say, hey, I do this process, you know, three times a week. Is this something AI could do for me? Ask me some questions about it and maybe even parts of it could be automated. Katie Robbert [18:50]: Like that to me is something that should be accessible to most of us. You don’t have to be, you know, a high performing engineer or data scientist or you know, an AI thought leader to do that kind of an exercise. Christopher S. Penn [19:07]: A lot of, a lot of the issues that people have with making AI productive for them almost kind of reminds me of waterfall versus agile in the sense of, hey, I need to do this thing. And you know, this is this massive big project and you start digging like, I give up, I can’t do it. As opposed to a more bottom up approach, you go, okay, I do this as possible. What if I can automate just this part? What if I can automate just this part? What if I can do this? And then what you find over time is that then you start going, well, what if I glue these parts together? And then eventually you end up with a system. Now that gets you to V1 of like, hey, this is this janky cobbled together system of the way that I do things. Christopher S. Penn [19:47]: For example, on my YouTube videos that I make myself personally, I got tired of putting just basically changing the text in Canva every video. This is stupid. Why am I doing this? I know image magic exists. I know this library, that library exists. So I wrote a Python script, said, I’m just going to give you a list of titles. I’m going to give you the template, the placeholder, I’ll tell you what font to use, you make it. This is not rocket surgery. This is not like inventing something new. This is slapping text on an image. And so now when I’m in my kitchen on Sundays cooking, I’ll record nine videos at a time. AI will choose the titles and then it will just crank out the nine images. And that saves me about a half an hour of stupid typing, right? Christopher S. Penn [20:33]: That stupid typing is not executive function. I’m not outsourcing anything valuable to AI. Just make this go away. So if you think and you automate little bits everywhere you can and then you start gluing it together, that gets you to V1. And then you take a step back and go, wow, V1 is a hot mess of duct tape and chewing gum and bailing wire. And then that you say to with, in partnership with your AI, reverse engineer the requirements of this janky system that we’ve made to A requirements document. And then you say, okay, now let’s build v2, because now we know what the requirements are. We can now build V2 and then V2 is polished. It’s lovely. Like my voice transcription system V1 was a hot mess. Christopher S. Penn [21:16]: V2 is a polished app that I can run and have running all the time and it doesn’t blow up my system anymore. But in terms of thinking about how we apply AI and the sort of AI mindset, that’s the approach that I take. It’s not the only one by any means, but that’s how I think about this. So when someone says, hey, open call is here, what’s the first thing I do? I go to the GitHub repo, I grab a copy of it, make a copy of it, because stuff vanishes all the time. And then I dive in with an AI coding tool just to say, explain this to me what’s in the box. Christopher S. Penn [21:53]: If you are a more technical person, one of the best things that you can do in a tool like Claude code is say, build me a system diagram, analyze the code base and build me system. Don’t make any changes, don’t do anything, just explain the system to me and you’ll look at it and go, oh, that’s what this does. When I’m debugging a particularly difficult project, every so often I will say, hey, make a system diagram of the current state and it will make one. And I’ll be like, well, where’s this thing? It’s like, oh yeah, that should be there. I’m like, yeah, no kidding it should be there. Would you please go and fix that? But having to your point, having the self awareness to take a step back and say show me the system works really well. Christopher S. Penn [22:39]: If you want to get really fancy, you could screen record you doing something, load that to a system like Gemini and say, make me a process diagram of how I do this thing. And then you can look at it with a tool like Gemini because Gemini does video really well and say, how could I make this more efficient? Katie Robbert [22:59]: I think that’s a really good entry point for most of us. Most machines, Macs and PCs come with some sort of screen recorder built in. There’s a lot of free tools, but I think that’s a really good opportunity to start to figure out like, is this something that I could find efficiencies on? Speaker 3 [23:19]: Do I even have documentation around how I do it? Katie Robbert [23:22]: If not, take this video and create some and then I can look at it and go, oh, that’s not right. The thing I want to reinforce, you know, as we’re talking about these autonomous, you know, virtual assistants, executive assistants, you know, these bots that are going to take over the world, blah, blah. You still need human intervention. So, Chris, as you were describing, the process of having the system create the title cards for your videos, I would imagine, I would hope, I would assume that you, the human reviews all of the title cards ahead of, like, before posting them live, just in case you got on a particular rant in one video, it was profanity laced and the AI was like, oh, well, Chris says this particular F word over and over again, so it must be the title of the video. Katie Robbert [24:14]: Therefore, boom, here’s title card. And I’m just going to publish it live. I would like to believe that there is still, at least in that case, some human intervention to go. Oh, yeah, that’s not the title of that video. Let me go ahead and fix that. And I think that’s. Go ahead. Christopher S. Penn [24:29]: There isn’t human intervention on that because there’s an ideal customer profile that is interrogated as part of the process to say, would the ICP like this? And the ICP is a business professional. And so, you know, I’ve had it say, the ICP would not like this title and it will just fix itself. And I’m like, okay, cool. So you, to your point, there was human intervention at some point, and then we codified the rules with an ideal customer profile. Say, this is what the audience really wants. Katie Robbert [24:54]: And I think that’s okay. Speaker 3 [24:56]: I think you at least need to. Katie Robbert [24:57]: Start with that for V1. You should have that human intervention as the QA. But to your point, as you learn, okay, this is my ideal customer, and this is what they want. This is the feedback that I’ve gotten on everything. Take all of that feedback, put it into a document and say, listen to this feedback every time you do something. Make sure we’re not continually making the same mistakes. So it really comes down to some sort of a QA check, a quality assurance check in the process before you just unleash what the machines create to the public. Christopher S. Penn [25:31]: Exactly. So to wrap up Open Claw, Claudebot, Multbot, slash, whatever they want to call it this week is by itself not something I would recommend people install. But you should absolutely be thinking about, what does a semi autonomous or fully autonomous system look like in our future, how will we use it? And laying the groundwork for it by getting your own AI mindset in place and documenting the heck out of everything that you do so that when a production ready system like that becomes available, you will have all the materials ready to make it happen and make it happen safely and effectively. Christopher S. Penn [26:09]: If you’ve got some thoughts or hey, you installed open claw and burned down your computer pot, drop by our free slot group Go to trust insights AI analytics for marketers where you and over 4,500 marketers are asking and answering each other’s questions every single day. And wherever it is you watch, listen to the show. If there’s a channel you’d rather have it on, said go to Trust Insights AI TI Podcast. You can find us all the places fine podcasts are served. Thanks for tuning in to talk to you on the next one. Speaker 3 [26:40]: Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence and machine learning to empower businesses with actionable Insights. Founded in 2017 by Katie Robert and Christopher S. Penn, the firm is built on the principles of truth, acumen and prosperity. Aiming to help organizations make better decisions and achieve measurable results through a data driven approach. Trust Insight specializes in helping businesses leverage the power of data, artificial intelligence and machine learning to drive measurable marketing roi. Trust Insight services span the gamut from developing comprehensive data strategies and conducting deep dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Speaker 3 [27:33]: Trust Insights also offers expert guidance on social media analytics, marketing technology and Martech selection and implementation and high level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google, Gemini, Anthropic, Claude Dall? E, Midjourney Stock, Stable Diffusion and metalama. Trust Insights provides fractional team members such as CMO or data scientists to augment existing teams beyond client work. Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In Ear Insights Podcast, the Inbox Insights newsletter, the so what Livestream webinars and keynote speaking. What distinguishes Trust Insights in their focus on delivering actionable insights, not just raw data, Trust Insights are adept at leveraging cutting edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations. Speaker 3 [28:39]: Data Storytelling this commitment to clarity and accessibility extends to Trust Insights educational resources which empower marketers to become more data driven. Trust Insights champions ethical data practices and transparency in AI sharing knowledge widely whether you’re a Fortune 500 company, a mid sized business or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance and educational resources to help you navigate the ever evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

Tim McLain, Director of Marketing at RepSpark, shares hard-earned insights from 35 years in B2B marketing and explains how wholesale brands can win modern buyers. He breaks down why inventory visibility, sales rep enablement, and clean digital ordering systems are now table stakes for brands selling into retail. Tim also dives deep into what actually drives website conversions in 2026, from disciplined email strategy and HubSpot workflows to AI chatbots, LLM visibility, and pillar-page content designed for generative search. This episode is a practical playbook for B2B leaders who want fewer errors, better buyer experiences, and measurable growth across wholesale channels.

Hey CX Nation,In this week's episode of The CXChronicles Podcast #276, we welcomed Todd Breton from Hippo Insurance & Eileen Potter from Smart Communications to talk through CX's role in the insurance industry. Smart Communications is the trusted choice for regulated enterprises looking to modernize complex processes and connect with customers in the moments that matter most. More than 650 enterprises worldwide—including Zurich Insurance, Priority Health, The Pacific Financial Group, and The Bancorp—rely on Smart Communications to reduce compliance risk, boost operational efficiency, lower costs, and fast-track digital transformation that fuels business growth and elevates the customer experience.500,000+ homeowners are insured today by Hippo with 70+ insurance carrier partners to boot. In this episode, Todd, Eileen and Adrian chat through the Four CX Pillars: Team, Tools, Process & Feedback. Plus share some of the ideas that their teams think through on a daily basis to build world class customer experiences.**Episode #276 Highlight Reel:**1. Technology's role in the insurance industry2. How AI is changing the insurance space 3. Why most insurance companies are doubling down on CX4. Relationships still matter for most insurance customers5. The future of insuranceClick here to learn more about Todd BretonClick here to learn more about Eileen PotterClick here to learn more about Smart CommunicationsClick here to learn more about Hippo InsuranceHuge thanks to Todd & Eileen for coming on The CXChronicles Podcast and featuring their work and efforts in pushing the way that customer experience fits inside of the insurance industry in the future. For all of our Apple & Spotify podcast listener friends, make sure you are following CXC & please leave a 5 star review so we can find new members of the "CX Nation". You know what would be even better?Go tell your friends or teammates about CXC's custom content, strategic partner solutions (Hubspot, Intercom, & Freshworks) & On-Demand services & invite them to join the CX Nation, a community of 15K+ customer focused business leaders!Thanks to all of you for being apart of the "CX Nation" and helping customer focused business leaders across the world make happiness a habit!Reach Out To CXC Today!Support the showContact CXChronicles Today Tweet us @cxchronicles Check out our Instagram @cxchronicles Click here to checkout the CXC website Email us at info@cxchronicles.com Remember To Make Happiness A Habit!!

If your revenue team takes three weeks to deliver a diagnostic report - and still misses the $21 million opportunity hiding in your pipeline - this episode reveals why manual analysis is costing you deals and how a RevOps CEO architected an AI agent that does it in 24 hours. Tara Kinney, Founder and CEO of Atomic Revenue, has led 18 CRM implementations across 76 companies. She knows what "normal" looks like in revenue operations - and she blew it up. Her agency used to spend weeks qualifying prospects and delivering diagnostics. Now her Digital Crew does it in 24-48 hours, cuts the sales cycle by 90%, and finds revenue opportunities her manual analysis missed. In this episode, Tara walks through the exact workflow: how the Revenue Reality Check agent integrates with HubSpot and Slack, how it auto-assigns prospects to the right strategist based on industry and pain point, and why the "Human-in-the-Loop" governance layer is non-negotiable. She also reveals the $21 million story - the moment her AI agent identified a conversion bottleneck she hadn't even tracked, proving that agents don't just save time, they see what humans miss. This isn't theory. This is a deployable blueprint for Revenue Leaders who need to stop drowning in Admin Drag and start architecting workflows that deliver measurable P&L impact. You'll Learn: Why manual revenue diagnostics are too slow (and too shallow) for 2026 B2B velocity The 24-hour diagnostic workflow that cut Atomic Revenue's sales cycle by 90% How AI found a $21M opportunity by modeling scenarios humans can't calculate at scale The HubSpot + Slack + Multi-LLM integration stack behind the Revenue Reality Check Why "Human-in-the-Loop" governance prevents hallucination risks and protects your brand The three revenue killers hiding in your pipeline: Sales handoffs, legal bottlenecks, and client onboarding gaps Guest: Tara Kinney, Founder & CEO, Atomic RevenueCredentials: 76 companies supported, 18 CRM implementations, RevOps practitioner with real P&L accountability If you're a VP of Sales, CRO, or RevOps Director tired of waiting weeks for answers while your competitors move faster, this episode gives you the audit framework and workflow architecture to deploy your first diagnostic agent. Resources: Try the Revenue Reality Check: atomicrevenue.com Download the Executive Guide to Shadow AI: theaihat.com/shadow-ai Chapters: 00:00 Introduction: The Impact of AI on Sales Processes 00:51 Meet Mike Allton and The AI Hat Podcast 02:00 Welcome to AI for Revenue Leaders 02:21 The Problem with Traditional Revenue Diagnostics 03:00 Introducing Tara Kinney and Atomic Revenue 03:55 The Evolution of Revenue Diagnostics with AI 06:07 How AI Transforms Revenue Reality Checks 08:45 The Role of AI in Enhancing Sales Strategies 17:00 The Human-AI Collaboration in Revenue Diagnostics 33:32 Key Metrics and Questions for Revenue Leaders 36:22 Conclusion and Next Steps Learn more about your ad choices. Visit megaphone.fm/adchoices

Do buyers lie? The short answer is yes and I'm going to tell you why in this episode. I'm also going to tell you how to get the truth of their issues out and close the deal. Why Do Buyers Lie?Buyers don't always lie intentionally. However, there're three main reasons why they do:They feel uncomfortable saying “no.”They're not interested but don't want to hurt your feelings.They want to “think about it,” often as a way to avoid further discussion.Key Strategies for SellersIf you find them lying to you, try these strategies to get the truth out of them: Seek honest answers by asking tougher, more direct questions.Never assume a prospect's motives, instead get to the real issue.Practice probing with family or friends to build confidence.Avoid desperation and maintain control throughout the process.Don't wait. Address hesitations immediately rather than letting deals linger.“Why in the world do we hoard horrible deals? Is because internally we believe that there's still hope. But I'm telling you not to do that. Cut them and go to the next one. Don't be afraid of losing something.” - Donald KellyResourcesKeep track of your sales activity and boost your results with the Prospect Pro sales tool.Join the LinkedIn Prospecting Course to improve how you use LinkedIn and book more consistent, high-quality sales appointments.Visit Blue Mango Studios for help in creating podcast production content. Sponsorship OffersThis episode is brought to you in part by Hubspot.With HubSpot sales hubs, your data tools and teams join a single platform to close deals and turn prospects into pipelines. Try it for yourself at hubspot.com/sales.This episode is brought to you in part by LinkedIn.Are you tired of prospective clients not responding to your emails? Sign up for a free 60-day trial of LinkedIn Sales Navigator at linkedin.com/tse.This episode is brought to you in part by the TSE Sales Foundation.Improve your connection on LinkedIn and land three or five appointments with our LinkedIn prospecting course. Go to the salesevangelist.com/linkedin.CreditsAs one of our podcast listeners, we value your opinion and always want to improve the quality of our show. Complete our two-minute survey here: thesalesevangelist.com/survey. We'd love for you to join us for our next episodes by tuning in on Apple Podcast, Google Podcast,

Meet Marni Carmichael, VP of Marketing at ImageSource Inc., a company that helps organizations improve and automate their business processes. Marni shares valuable insights on how ImageSource Inc. utilizes data to drive business processes and automate tasks, allowing skilled staff to focus on more strategic decision-making. She also discusses the importance of customer satisfaction, talent development, and staying close to customers in today's competitive market, as well as practical marketing strategies such as trade shows, HubSpot, and content marketing.

In this special episode, Joe and Robert answer all the questions from the This Old Marketing audience.  How do backlink strategies (SEO) and citations (AEO) work together, and what unified content strategy can help brands earn both? In the age of GEO, how should membership organizations decide what content to keep free versus behind a paywall, especially when balancing search visibility with exclusive expert value? As AI takes over more execution, will small businesses and solopreneurs still need and pay for human marketing strategy, and how can independent consultants differentiate and stay relevant in an AI-first world? Did the Netflix series about the Dallas Cowboys Cheerleaders measurably impact the team's brand or game viewership, and is it a model for how entertainment content can elevate a sports franchise's marketing? Should marketers clearly separate "content marketing" (audience-building) from "sales enablement content" (purchase support), and does lumping them together lead to bad strategy and wrong KPIs? If you were starting from zero today, with AI flooding every channel, what would you build first to create real audience trust and attention over the next five years, and what would you completely ignore that most marketers are still chasing? Thanks to all of you for your questions and support. Subscribe and Follow: Follow Joe Pulizzi and Robert Rose on LinkedIn for insights, hot takes, and weekly updates from the world of content and marketing.  ------- This week's sponsor: Did you know that most businesses only use 20% of their data? That's like reading a book with most of the pages torn out. Point is, you miss a lot. Unless you use HubSpot. Their customer platform gives you access to the data you need to grow your business. The insights trapped in emails, call logs, and transcripts.  All that unstructured data that makes all the difference. Because when you know more, you grow more. Visit https://www.hubspot.com/ to hear how HubSpot can help you grow better. ------- Get all the show notes: https://www.thisoldmarketing.com/ Get Joe's new book, Burn the Playbook, at http://www.joepulizzi.com/books/burn-the-playbook/ Subscribe to Joe's Newsletter at https://www.joepulizzi.com/signup/. Get Robert Rose's new book, Valuable Friction, at https://robertrose.net/valuable-friction/  Subscribe to Robert's Newsletter at https://seventhbearlens.substack.com/ ------- This Old Marketing is part of the HubSpot Podcast Network: https://www.hubspot.com/podcastnetwork

Jani Sanguino joined us on The Modern People Leader to share how Viva built an award-winning, manager-led AI transformation. We talked about the three AI competencies they prioritized, their 13-week manager-led learning path, and the most impactful use cases for their business.----  Go deeper on Viva's AI Journey in Roundtable with Jani (only 10 seats)Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode279----Sponsor Links:

In this episode, Avanish and Drew discuss:Drew's early journey from systems integrator to one of Salesforce's first top sales leadersHow Salesforce's “connect the dots” sales motion enabled enterprise expansion beyond PLGWhy relationship visibility—not lack of relationships—is the real bottleneck in enterprise salesThe concept of “social capital” and why misused intros burn trust instead of creating itCTD's hybrid model for individuals and enterprises—and why both matterDrew's vision for CTD as a trust layer and emerging relationship platformHost Avanish SahaiAvanish Sahai is a Tidemark Fellow and served as a Board Member of Hubspot from 2018 to 2023; he currently serves on the boards of Birdie.ai, Flywl.com and Meta.com.br as well as a few non-profits and educational boards. Previously, Avanish served as the vice president, ISV and Apps partner ecosystem of Google from 2019 until 2021. From 2016 to 2019, he served as the global vice president, ISV and Technology alliances at ServiceNow.  From 2014 to 2015, he was the senior vice president and chief product officer at Demandbase.  Prior to Demandbase, Avanish built and led the Appexchange platform ecosystem team at Salesforce, and was an executive at Oracle and McKinsey & Company, as well as various early to mid-stage startups in Silicon Valley.About Drew SechristDrew Sechrist is a Salesforce veteran who helped grow the company from $0 to over $1B in revenue. As the #1 global sales manager and account executive, Drew mastered the art of leveraging relationships for warm introductions to close deals faster and bigger.With co-founder Ian Swinson, another Salesforce alum with deep expertise in CRM and social networks, they've built Connect The Dots™ to empower professionals and companies to harness the power of their networks. The vision? A free, intuitive way for individuals to carry their relationships with them, while helping companies replace expensive, ineffective cold outreach with strategic network intelligence.About Connect The Dots (CTD)CTD is the Relationship Activation Platform that helps go-to-market teams instantly find and request introductions to key decision-makers using real relationships from across their company, board, investors, advisors, customer champions, and more.Whether it's a warm path through your CEO, a trusted investor, a strategic partner, or even a personal connection, CTD reveals who actually knows your target buyers and makes it easy to request and track trusted intros at scale. We turn hidden networks into a repeatable, high-impact channel for modern sales teams. Learn more at www.ctd.aiAbout TidemarkTidemark is a venture capital firm, foundation, and community built to serve category-leading technology companies as they scale.  Tidemark was founded in 2021 by David Yuan, who has been investing, advising, and building technology companies for over 20 years.  Learn more at www.tidemarkcap.com.Relevant LinksFollow our host, Avanish SahaiLearn more about Tidemark

Hey CX Nation,In this week's episode of The CXChronicles Podcast #275, we welcomed Sagi Reuven, Chief Revenue Officer at Deepdub based in Tel Aviv, Israel. Deepdub is the enterprise voice infrastructure powering AI in production. Deepdub built their credibility in the most demanding voice environments in the world: Hollywood studios, global broadcasters, and premium content pipelines where voice quality, emotional accuracy, and reliability are non-negotiable.Deepdub enables zero-shot voice cloning, voice-to-voice, ADR, accent control, and ultra-low latency delivery designed for systems that operate live, at scale, and in front of real customers.Get started here> https://deepdub.ai/ FYI even better if you let them know that CXC sent you their way!In this episode, Sagi and Adrian chat through the Four CX Pillars: Team, Tools, Process & Feedback. Plus share some of the ideas that his team think through on a daily basis to build world class customer experiences.**Episode #275 Highlight Reel:**1. Personalize for problems, not people.2. Keeping top talent by building smarter teams3. AI's impact on leadership & strategy4. The Partnership Economy is here5. Changes to prepare for in the work placeClick here to learn more about Sagi ReuvenClick here to learn more about DeepdubHuge thanks to Sagi for coming on The CXChronicles Podcast and featuring his work and efforts in pushing the customer experience & contact center space into the future. For all of our Apple & Spotify podcast listener friends, make sure you are following CXC & please leave a 5 star review so we can find new members of the "CX Nation". You know what would be even better?Go tell your friends or teammates about CXC's custom content, strategic partner solutions (Hubspot, Intercom, & Freshworks) & On-Demand services & invite them to join the CX Nation, a community of 15K+ customer focused business leaders!Want to see how your customer experience compares to the world's top-performing customer focused companies? Check out the CXC Healthzone, an intelligence platform that shares benchmarks & insights for how companies across the world are tackling The Four CX Pillars: Team, Tools, Process & Feedback & how they are building an AI-powered foundation for the future. Thanks to all of you for being apart of the "CX Nation" and helping customer focused business leaders across the world make happiness a habit!Reach Out To CXC Today!Support the showContact CXChronicles Today Tweet us @cxchronicles Check out our Instagram @cxchronicles Click here to checkout the CXC website Email us at info@cxchronicles.com Remember To Make Happiness A Habit!!

We recapped MPL Live Austin with attendees Cindy Lopez (Senior Director, People & Culture, Pattern Bioscience) and Marlene Arroyo (Founder, Peoplecraft).----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode278Sponsor Links:

Join Favour Obasi-ike, MBA, MS for a masterclass on email marketing strategies that actually drive revenue. In this session, Favour breaks down the power of segmented email campaigns, explains the metrics that matter, and shares how to build a website-first content strategy that turns subscribers into customers. Learn how to leverage free tools, automate your email sequences, and create long-term relationships with your audience through strategic, data-driven email marketing ROI.Whether you're just starting with email marketing or looking to optimize your existing campaigns, this episode delivers actionable insights you can implement immediately to boost engagement and generate sustainable revenue.What You'll Learn✓ How to use segmented emails to increase revenue and engagement✓ The difference between click-through rate and click rate (and why it matters)✓ Why your website is the foundation of successful email marketing✓ Google's E-E-A-T framework for creating helpful content✓ How to repurpose one piece of content across multiple channels✓ Which free tools every email marketer should be using✓ The "website-first" content strategy that saves time and builds SEO✓ How to create automated email sequences that work 24/7Top 7 Email Marketing Best Practices1. Use Segmented Emails StrategicallyCreate segments based on subscriber behavior and preferences. Use polls and interactive elements to gather data, then tag links to track which subscribers are interested in which offerings.2. Build a Helpful, Responsive WebsiteYour website should be fast-loading, mobile-friendly, and provide genuine value. Focus on Google's E-E-A-T framework: Experience, Expertise, Authority, and Trust.3. Create Content on Your Website FirstPublish content on your website before sharing on social media. This builds your owned digital assets, improves SEO, and gives you more control over distribution.4. Leverage Email Metrics for Continuous ImprovementTrack who opens, clicks, and takes action. Identify your most engaged subscribers and create VIP segments for them. Use this data to refine your messaging over time.5. Implement Scheduled and Automated Email SequencesSet up automated sequences that trigger based on subscriber actions. Create welcome series, nurture campaigns, and re-engagement flows that work around the clock.6. Repurpose Content Across Multiple FormatsTake one long-form piece and break it into blog posts, social media updates, podcast episodes, videos, and email newsletters. Maximize your content creation efforts.7. Focus on Long-term Relationship BuildingNot everyone opens emails the day you send them. Be consistent with your schedule, provide ongoing value, and build trust over time rather than chasing quick sales.Key Metrics to TrackDeliverability Rate - Percentage of emails reaching subscriber inboxesOpen Rate - Percentage of delivered emails that get openedClick Rate - Percentage of delivered emails with link clicksClick-Through Rate (CTR) - Percentage of opened emails with link clicksConversion Rate - Percentage completing your desired actionPodcast Episode Timestamps[00:00] Episode introduction: Email marketing best practices that earn revenue[00:40] Why segmented emails are the #1 revenue driver[03:06] How to create segments triggered by scheduled emails[03:37] Example: Segmenting by in-person vs. virtual event preferences[06:00] Using polls to understand what your audience really wants[07:00] Revenue starts at the beginning: building systems for MRR[08:00] Click-through rate vs. click rate explained[09:00] Identifying and segmenting your most engaged subscribers[10:00] Tracking email opens and clicks consistently[10:30] Creating VIP segments for highly engaged subscribers[14:00] Re-engaging inactive subscribers through targeted campaigns[15:00] Email deliverability and its impact on revenue[17:00] Understanding spam filters and how to avoid them[18:00] Email authentication: SPF, DKIM, and DMARC[20:00] Real case study: Client ranking page one for competitive keywords[21:42] Technical SEO: indexing, blogs, location pages, schema markup[23:00] Email marketing as direct response marketing[24:00] Why not everyone opens emails immediately (and that's okay)[25:00] Best Practice #1: Have a helpful, responsive website[25:32] Google's E-E-A-T framework: Experience, Expertise, Authority, Trust[26:22] You have less than 10 seconds to make an impression[27:00] The "website-first" content strategy[27:22] Free analytics tools: Google Search Console, GA4, Bing, Microsoft Clarity[28:00] Repurposing one article into multiple content formats[30:00] Maximizing content value through strategic repurposing[32:00] Creating content pillars and topic clusters[33:00] Planning content calendars aligned with email campaigns[35:00] Balancing evergreen content with timely topics[37:00] Creating lead magnets that attract quality subscribers[39:00] A/B testing email subject lines and content[40:00] Overview of popular email marketing platforms[41:00] Mailchimp: features, pricing, and best use cases[42:00] Constant Contact for small businesses and nonprofits[43:00] Brevo (formerly Sendinblue): affordable with SMS capabilities[44:00] HubSpot: comprehensive CRM and marketing automation[45:00] Choosing the right platform for your business needs[46:00] Free tier options and when to upgrade[50:00] Advanced segmentation for e-commerce businesses[51:00] Using behavioral triggers to increase conversions[52:00] Email in omnichannel marketing strategies[53:00] Measuring ROI from email campaigns[54:00] Common email marketing mistakes to avoid[57:00] Recap of key best practices[59:00] Closing remarks and next session announcement[59:29] Tomorrow's topic: Search Engine Marketing & SEO Best Practices (11 AM Central)Tools & Resources MentionedEmail Marketing Platforms: Flodesk >> Sign up and Get 50% OffAnalytics Tools: Google Search Console, Google Analytics (GA4), Bing Webmaster Tools, Microsoft Clarity, Fathom Analytics, Matomo AnalyticsOther Tools: Eventbrite, PinterestSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

On this special segment of The Full Ratchet, the following Investors are featured: Paul Madera of Meritech Capital Medha Agarwal of Defy Jeff Bussgang of Flybridge Capital We asked guests to tell the most important lesson they've learned in their career. The host of The Full Ratchet is Nick Moran of New Stack Ventures, a venture capital firm committed to investing in founders outside of the Bay Area. We're proud to partner with Ramp, the modern finance automation platform. Book a demo and get $150—no strings attached.   Want to keep up to date with The Full Ratchet? Follow us on social. You can learn more about New Stack Ventures by visiting our LinkedIn and Twitter.

Jason Cohen is a four-time founder (including two unicorns, one being WP Engine) and an investor in over 60 startups, and has been sharing his lessons on company building at A Smart Bear for nearly 20 years. In this episode, Jason shares his methodical five-step framework for diagnosing stalled growth—a problem that faces almost every team.We discuss:1. Jason's five-step framework: logo retention, pricing, NRR, marketing channels, target market2. A small tweak that'll double response rates on your cancellation surveys3. Why “it's too expensive” is almost never the real reason customers cancel4. The “elephant curve” of growth5. How repositioning the same product can increase revenue 8x6. When to reconsider if growth is even the right goal for your business—Brought to you by:10Web—Vibe coding platform as an APIStrella—The AI-powered customer research platformBrex—The banking solution for startups—Episode transcript: https://www.lennysnewsletter.com/p/why-your-product-stopped-growing—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Jason Cohen:• Preorder Jason's book: https://preorder.hiddenmultipliers.com/• X: https://x.com/asmartbear• LinkedIn: https://www.linkedin.com/in/jasoncohen• Blog: https://longform.asmartbear.com• Website: https://wpengine.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Jason Cohen(05:19) Jason's writing journey(08:25) Questions to ask when your product stops growing(18:17) Getting real customer feedback(20:27) Analyzing cancellation reasons(26:54) Onboarding and activation(29:35) Quick summary(35:46) Revisiting pricing strategies(41:46) Positioning strategies(47:52) Why pricing is inseparable from your strategy(52:06) The importance of net revenue retention (NRR)(01:00:25) Asking whether or not this is good for the customer(01:04:34) Leveraging existing customers(01:06:42) Are your acquisition channels saturated? The “elephant curve”(1:09:41) Why all marketing channels eventually decline(01:12:04) Direct vs. indirect marketing channels(1:13:36) Getting creative with new channels(01:19:04) Do you actually need to grow?(01:25:57) Deciding when to quit(01:29:27) Book announcement(01:33:21) AI corner(01:34:35) Contrarian corner(01:37:43) Lightning round and final thoughts—Referenced:• Tyler Cowen's website: https://tylercowen.com• How to Perform a Customer Churn Analysis (and Why You Should): https://www.groovehq.com/blog/learn-from-customer-churn• Linear: https://linear.app• Jira: https://www.atlassian.com/software/jira• Patrick Campbell's post on X about pricing: https://x.com/Patticus/status/1702313260547006942• The art and science of pricing | Madhavan Ramanujam (Monetizing Innovation, Simon-Kucher): https://www.lennysnewsletter.com/p/the-art-and-science-of-pricing-madhavan• Pricing your AI product: Lessons from 400+ companies and 50 unicorns | Madhavan Ramanujam: https://www.lennysnewsletter.com/p/pricing-and-scaling-your-ai-product-madhavan-ramanujam• Pricing your SaaS product: https://www.lennysnewsletter.com/p/saas-pricing-strategy• M&A, competition, pricing, and investing | Julia Schottenstein (dbt Labs): https://www.lennysnewsletter.com/p/m-and-a-competition-pricing-and-investing• “Sell the alpha, not the feature”: The enterprise sales playbook for $1M to $10M ARR | Jen Abel: https://www.lennysnewsletter.com/p/the-enterprise-sales-playbook-1m-to-10m-arr• Buffer: https://buffer.com• AG1: https://drinkag1.com• How to find hidden growth opportunities in your product | Albert Cheng (Duolingo, Grammarly, Chess.com): https://www.lennysnewsletter.com/p/how-to-find-hidden-growth-opportunities-albert-cheng• How Duolingo reignited user growth: https://www.lennysnewsletter.com/p/how-duolingo-reignited-user-growth• The Elephant in the room: The myth of exponential hypergrowth: https://longform.asmartbear.com/exponential-growth• HubSpot: https://www.hubspot.com• Zigging vs. zagging: How HubSpot built a $30B company | Dharmesh Shah (co-founder/CTO): https://www.lennysnewsletter.com/p/lessons-from-30-years-of-building• Adjacency Matrix: How to expand after PMF: https://longform.asmartbear.com/adjacency/• Ecosystem is the next big growth channel: https://www.lennysnewsletter.com/p/ecosystem-is-the-next-big-growth• ChatGPT apps are about to be the next big distribution channel: Here's how to build one: https://www.lennysnewsletter.com/p/chatgpt-apps-are-about-to-be-the• 10 contrarian leadership truths every leader needs to hear | Matt MacInnis (Rippling): https://www.lennysnewsletter.com/p/10-contrarian-leadership-truths• Breaking the rules of growth: Why Shopify bans KPIs, optimizes for churn, prioritizes intuition, and builds toward a 100-year vision | Archie Abrams (VP Product, Head of Growth at Shopify): https://www.lennysnewsletter.com/p/shopifys-growth-archie-abrams• Geoffrey Moore on finding your beachhead, crossing the chasm, and dominating a market: https://www.lennysnewsletter.com/p/geoffrey-moore-on-finding-your-beachhead• ER on Prime Video: https://www.amazon.com/ER-Season-1/dp/B0FWK5WJQ4• The Pitt on Prime Video: https://www.amazon.com/The-Pitt-Season-1/dp/B0DNRR8QWD• Wispr Flow: https://wisprflow.ai• Anker: https://www.anker.com—Recommended books:• Will: https://www.amazon.com/Will-Smith/dp/1984877925• Monetizing Innovation: How Smart Companies Design the Product Around the Price: https://www.amazon.com/Monetizing-Innovation-Companies-Design-Product/dp/1119240867• Hidden Multipliers: Small Things That Accelerate Growth: https://preorder.hiddenmultipliers.com• On Writing Well: The Essential Guide to Mastering Nonfiction Writing and Effective Communication: https://www.amazon.com/Writing-Well-Classic-Guide-Nonfiction/dp/0060891548• Crossing the Chasm, 3rd Edition: The Updated Version of the Insightful Guide on Bringing Cutting-Edge Products to the Mainstream: https://www.amazon.com/Crossing-Chasm-3rd-Disruptive-Mainstream/dp/0062292986—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

What should you be posting on LinkedIn, and what should you avoid? In this episode, I share three LinkedIn posts sellers can use right away. Posting the right content on LinkedIn can help you book more appointments and grow your pipeline.Why You Should Be Posting on LinkedInIf you are not posting on LinkedIn, you are missing a real opportunity to stand out. Only a small percentage of users create content, which means authentic posts are far more likely to get noticed. Instead of worrying about being judged or feeling like you need to be an expert, I want you to see LinkedIn as a place to engage your niche market and start real conversations.Three Types of LinkedIn Posts That WorkMistakes and Lessons Learned: One of the easiest ways to create content is by sharing mistakes and lessons from your own experience. Talking about what went wrong and what you learned makes your posts relatable and builds trust. When you are honest and a little vulnerable, people are more likely to engage and respond.Personal Insights: You do not have to talk about sales all the time. Sharing personal insights like hobbies, challenges, or goals helps people connect with you as a person. Whether it is working on your golf game or focusing on better health, these posts humanize you and often lead to stronger conversations with prospects.Industry Trends and Data: Posting about industry trends or data gives your audience something valuable to think about. Share insights you are seeing in the field or information from reports you trust. When you consistently bring useful information to your network, you position yourself as a resource and stay top of mind with potential buyers."Thanks to the COVID era, people want to know you on a personal level. They want to see your personality online." - Donald KellyResourcesSign up for free and download the Sales Evangelist Tracker to monitor your sales KPIs, measure performance, and stay accountable to your daily activity.Join the LinkedIn Prospecting Course to improve how you use LinkedIn and book more consistent, high-quality sales appointments.Visit Blue Mango Studios for help in creating podcast production content. Sponsorship OffersThis episode is brought to you in part by Hubspot.With HubSpot sales hubs, your data tools and teams join a single platform to close deals and turn prospects into pipelines. Try it for yourself at hubspot.com/sales.This episode is brought to you in part by LinkedIn.Are you tired of prospective clients not responding to your emails? Sign up for a free 60-day trial of LinkedIn Sales Navigator at linkedin.com/tse.This episode is brought to you in part by the TSE Sales Foundation.Improve your connection on LinkedIn and land three or five appointments with our LinkedIn prospecting course. Go to the salesevangelist.com/linkedin.CreditsAs one of our podcast listeners, we value...