Podcasts about Salesforce

Most AI implementations fail because companies lack proper data context and integration. Ariel Kelman is President and Chief Marketing Officer at Salesforce, leading their global marketing organization and Agentforce AI platform development. Salesforce's trust-first approach connects enterprise data to AI models, enabling 77% case resolution rates and $100+ million in cost savings through their customer support agents, plus 20% increased sales pipeline from website AI interactions.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Corey duBrowa spent much of his career advising some of the world's most scrutinized leaders — from Howard Schultz at Starbucks and Marc Benioff at Salesforce to Sundar Pichai at Google. Now, as CEO of global communications firm Burson, he's helping executives navigate a charged marketplace shaped by AI disruption, ICE activity, and nonstop reputational risk. duBrowa explains why reputation remains one of the most powerful (and most misunderstood) assets in business, and how leaders should decide whether, when, and how to speak up.Visit the Rapid Response website here: https://www.rapidresponseshow.com/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In dieser Folge spreche ich mit Thomas Birke über seinen mutigen Sprung aus dem Solution Engineering hinüber ins Product Marketing – und was ihn wirklich dazu bewogen hat, nach fast zehn Jahren bei Salesforce die Seiten zu wechseln. Wir tauchen tief in seine ersten Monate in der neuen Rolle ein, sprechen über echte Herausforderungen, überraschende Unterschiede und seine Motivation, mehr Reichweite zu erzielen und Content für ein Millionenpublikum zu schaffen. Außerdem diskutieren wir offen das Spannungsfeld zwischen SE und Product Marketing, den Umgang mit Perfektionismus und wie es ist, wenn Features auf der großen Bühne angekündigt werden, bevor sie überhaupt fertig sind. Wer mit dem Gedanken spielt, seine Karriere neu auszurichten, bekommt hier ungefilterte Einblicke und wertvolle Tipps direkt aus der Praxis – natürlich in meinem gewohnt offenen Stil. Thomas bei LinkedIn - https://www.linkedin.com/in/tbirke/ ----------

AI agents fail because companies lack proper data context and change management. Ariel Kelman is President and Chief Marketing Officer at Salesforce, leading their global marketing organization and AgentForce platform development. He discusses Salesforce's trust-first approach using their Data360 customer data platform to provide AI agents with complete customer context, implementing two-way email campaigns that allow interactive customer engagement, and deploying lead qualification agents that generated $27 million in incremental pipeline by processing 200,000 previously unworked leads.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Software stocks are getting hammered. Adobe at 7 year lows, Salesforce crushed. We discuss why and then cover our takes on the recent viral piece "Something Big is Happening."Join the premium Skippy and Doogles fan club. You can also get more details about the show at skippydoogles.com, show notes on our Substack, and send comments or questions to skippydoogles@gmail.com.

AI agents fail because companies lack proper data context and change management. Ariel Kelman is President and Chief Marketing Officer at Salesforce, leading their global marketing organization and AgentForce platform development. He discusses Salesforce's trust-first approach using their Data360 customer data platform to provide AI agents with complete customer context, implementing two-way email campaigns that allow interactive customer engagement, and deploying lead qualification agents that generated $27 million in incremental pipeline by processing 200,000 previously unworked leads.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In today's Cloud Wars Minute, I analyze the leadership shift at Workday and what it means in the age of agentic AI.Highlights00:00 — I want to talk about a change at the top of Workday. And I want to point out somebody who's been a real superstar in this business and that's Workday co-founder, former co-CEO, former CEO, chairman, executive chairman, resigned as CEO, now back in as CEO, Aneel Bhusri.01:13 — He was going to be the person that ran all the business, the operations. And Aneel said, "I can go back to what I truly love," which is developing products and strategy. Carl Eschenbach left about a week ago. The board asked Bhusri to step back in as CEO, and he's done that. So there's no question that Aneel Bhusri's first love is products and strategy.02:24 — He said, “Now, with Carl Eschenbach coming in a couple of years ago, now I can go do this stuff I really love around products and strategy.” It is this thing about never being trained to do it. He's on the board of directors at General Motors, a highly accomplished executive in a lot of ways. Aneel certainly doesn't need the money.03:13 — How does a company like Workday or Oracle or SAP or Salesforce balance those two things, the enterprise applications that brought them here, and the agentic AI that has to take them forward? Workday, several months ago, announced Workday ERP. From the outside, you've got SAP and Oracle always aggressively trying to go after Workday customers.03:59 — I want to mention about Aneel, the way he manages. He said, “I've sort of become”— this is when machine learning, ML, was really becoming hot — “I became the Pied Piper of Workday. I was just going around to all the different developers and engineering teams and just asking developers and engineering teams over and over and over again, what are you doing with ML?"04:56 — And now they've got two great president-level executives at Workday. Rob Enslin and Gerrit Kazmaier. I think it's very likely that about a year from now, Workday will announce that Bhusri is going to become co-CEO and elevate one of those two, Enslin or Kazmaier, to the co-CEO role with him. Visit Cloud Wars for more.

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/

Hoe werkt het als je je bedrijf organiseert in een groepsstructuur? En komt er eigenlijk iets terecht van die beoogde synergievoordelen? Jerry Remmers is de CEO van Loyals Groep en legt van A tot Z uit hoe zij dit proces aanpakken.Deze aflevering in het kort:☑️ De strategie achter een succesvolle buy-and-build machine ☑️ Synergie creëren tussen autonome bedrijven ☑️ Billy Grace lost gedoe met online marketing opIn de dynamische wereld van marketing en tech is 'groot, groter, grootst' vaak hét devies om te overleven. Klanten vragen om hyperspecialisme. Jerry Remmers begreep dit als geen ander en stampte met twee partners Loyals Groep uit de grond. Dit bedrijvencollectief telt inmiddels zes labels die actief zijn op het gebied van AI, branding, digital marketing, e-commerce en operational excellence. In deze aflevering legt hij uit hoe dat ecosysteem is georganiseerd. In deze aflevering hoor je hoe deze buy-and-build strategie uitpakt en hoe ze bij Loyal Groep de ondernemersvrijheid bij hun labels waarborgen.

La versione podcast automatica della newsletter #Techy del 16/2/2026 Il panorama tecnologico sta cambiando a una velocità senza precedenti. Se ti occupi di digitale, questi sono i trend e i dati che non puoi ignorare per restare rilevante nel 2025. Ecco l'analisi sintetica di ciò che sta accadendo:1. La Crisi del Software (SaaSgeddon)

Shawn O'Malley and Daniel Mahncke break down Netflix (ticker: NFLX) and discuss whether the company has finally won the streaming wars. While growth looked challenged back in 2022, Netflix has proven resilient in the face of competition and economic slowdowns by leaning into advertising and password crackdowns, with much room left to run internationally. IN THIS EPISODE, YOU'LL LEARN: 00:00:00 - Intro 00:13:36 - How Netflix pivoted from mailing DVDs to streaming 00:14:48 - How Netflix killed Blockbuster 00:24:20 - Why the business works so well with two co-CEOs 00:46:25 - How being a first-mover got Netflix through the cash burn phase before any competition arose 00:48:29 - What Netflix is doing to sustain growth into the future 00:54:00 - What makes the company's culture so legendary 01:04:18 - Why Netflix's app just “works” better than the competition 01:18:03 - How to think about modeling NFLX's intrinsic value 01:22:28 - Whether Shawn and Daniel add NFLX to their Intrinsic Value Portfolio *Disclaimer: Slight timestamp discrepancies may occur due to podcast platform differences. BOOKS AND RESOURCES The Investors Podcast Network is excited to debut a new community known as The Intrinsic Value Community for investors to learn, share ideas, network, and join calls with experts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Sign up for the waitlist(!)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Newsletter.⁠⁠⁠⁠⁠⁠⁠⁠⁠ Learn how to ⁠⁠⁠⁠⁠⁠⁠join us⁠⁠⁠⁠⁠⁠⁠ in Omaha for the 2026 Berkshire Hathaway shareholder meeting. Track The Intrinsic Value Portfolio. Shawn & Daniel use Fiscal.ai for every company they research — use their referral link to get started with a 15% discount! Value Investors Club pitch on NFLX. The Acquired podcast's episode on Netflix. Business Breakdowns' podcast on Netflix. Check out No Rules Rules by Reed Hastings & Erin Meyer. Netflix CEO Ted Sarandos on the future of entertainment. Check out our previous Intrinsic Value breakdowns: Transdigm, Salesforce, Berkshire Hathaway, FICO, PayPal, Uber, Nike, Amazon, Airbnb, Alphabet. Related ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠books⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ mentioned in the podcast. Ad-free episodes on our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Premium Feed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. NEW TO THE SHOW? Follow our official social media accounts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X (Twitter)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Browse through all our episodes (complete with transcripts) ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Try Shawn's favorite tool for picking stock winners and managing our portfolios: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Finance⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Enjoy exclusive perks from our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠favorite Apps and Services⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn how to better start, manage, and grow your business with the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠best business podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ References to any third-party products, services, or advertisers do not constitute endorsements, and The Investors Podcast Network is not responsible for any claims made by them. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm

Revenue leaders don't trust their pipeline anymore.In this episode, we sit down with Phil Cleary – 20+ year Salesforce veteran and co-lead of the Revenue Enablement Society – to unpack what's really happening inside revenue teams right now.We break down why forecasts are slipping, why pipeline feels fabricated, and why traditional sales training isn't fixing behaviour.This is a deep dive into revenue enablement strategy at the leadership level.We cover:+ Why buyers are frozen (FOBO from FOMO)+ The 2x2 coaching model every sales leader should use+ Why “software with a service” is the future of SaaS+ How behaviour, identity, and mindset drive real adoption+ Why you are your calendarIf you lead sales, marketing, or revenue teams – this conversation will challenge how you think about enablement.Tune in and learn:+ How to fix forecast uncertainty+ How to build behaviour-led performance+ How to align revenue teams around real commercial oversightIf you care about predictable revenue, commercial common sense, and long-term alignment – this one's essential.-----------------------------------------------------

Mr. Beast Biography Flash a weekly Biography.Hey there, gorgeous listeners, its your girl Roxie Rush here, your AI-powered gossip whirlwind, and thank goodness Im AI because I never sleep, scouring the web 24/7 to spill the freshest tea without missing a beat. Lets dive into MrBeast mania over the past few days, because Jimmy Donaldson is serving empire-level drama hotter than a Super Bowl halftime show.Just days ago on February 11, Beast Games Season 2 Episode 8 exploded on Amazon Prime Video, titled Would You Steal 1 Million Dollars? Times of India reports ten finalists faced a trust-shattering dilemma around a shared million-buck pot, with Nick snagging 250000 for himself and Monika Ronk pulling a villain arc by secretly selling her game-changing coin to Jimmy for 500000 cash, leaving everyone buried alive in suspense. LA Times details the coffin chaos only two to three feet deep but coffin-tight, while Jimmy hyped it on X beforehand, teasing the almost 5 million winner. He told LA Times this seasons storytelling crushes Season 1, filmed in Saudi Arabias massive studios for Middle East fans, with Episode 9 dropping February 18 and a 5 million finale on the 25th that he calls his greatest content ever. Ratings are mixed, IMDb giving Episode 7 a meh 3.4 out of 10, but viewerships still beast-mode after Season 1s 50 million in 25 days.Business-wise, Storyboard18 pegs his 2026 net worth at a jaw-dropping 2.6 billion, fueled by Beast Industries snagging Gen Z banking app Step and Feastables crushing it, though hes borrowing cash hand over fist to reinvest in mega-productions, debunking broke rumors from a parody X post that racked 5 million views. Fresh off Super Bowl 60 on February 8, ABC News GMA says he dropped hints on their Monday show for the unsolved Salesforce ad puzzle offering 1 mil to the first cracker, with 60 million site hits already and no winners as of Sunday night, urging fans to hunt Super Bowl photo numbers.Hes clapping back at Rockefeller conspiracy nuts on socials too, all while grinding non-stop. Whew, what a ride!Thanks for tuning in, babes, subscribe now to never miss a MrBeast update, and search Biography Flash for more bio gold. Muah!And that is it for today. Make sure you hit the subscribe button and never miss an update on Mr. Beast. Thanks for listening. This has been a Quiet Please production."Get the best deals https://amzn.to/4mMClBvThis content was created in partnership and with the help of Artificial Intelligence AI

In this episode of The Mentors Radio, Host Tom Loarie talks with Richard Harris, the global sales expert who trained the teams at SalesForce, Zoom and General Electric, founder and principal of The Harris Consultant Group, and author of bestseller “The Seller’s Journey: Your Guidebook to Closing More Deals with N.E.A.T. Selling”. You’ll learn why everyone is in sales, regardless of whether you are sharing ideas, influencing a corporate direction, an entrepreneur, a landscaper, have a career in selling products or services, or at home discussing an upcoming vacation with the family. In short, the Sellers Journey is not just for people with “sales” on their business card. The insights and wisdom discussed in this episode are gleaned not from perfection, but from imperfection—from first-hand experiences and challenges that ultimately led to years of award-winning sales achievements and award-winning sales training to help others—including teams from some of the Top companies in the world—achieve the same and better. Richard Harris has been named one of the “40 Most Inspiring Leaders in Sales Lead Management” by the Sales Lead Management Association (SLMA) and was included on the Datanyze Top 20 Inside Sales rockstar list, which is a list selected from Datanyze’s peers, partners, and mentors who have helped grow and shape the industry. As they put it: “A seasoned SaaS sales leader and inside sales trainer, Richard helps early stage and expansion stage startups build their sales infrastructure and train their sales teams to “get there faster.” He went on to found The Harris Consultant Group, which has helped transform hundreds of companies, teams and individuals who have worked with him or read his book. A passionate advocate for mental health awareness in sales, Harris balances his professional achievements with his role as a husband and father of two sons. His approach to sales leadership emphasizes both high performance and human-centric values, making him one of the most respected voices in modern sales transformation, as you’ll learn from this episode. LISTEN TO the radio broadcast live on iHeart Radio, or to “THE MENTORS RADIO” podcast any time, anywhere, on any podcast platform – subscribe here and don't miss an episode! SHOW NOTES: RICHARD HARRIS: BIO: https://theharrisconsultinggroup.com/about/ BOOK: The Seller’s Journey: Your Guidebook to Closing More Deals with N.E.A.T. Selling, by Richard Harris WEBSITE: https://theharrisconsultinggroup.com/

Sign up for Practi, a new platform that helps law firms use subscription billing.Here are the top 5 takeaways from this episode:1. Start Early for Maximum Lifestyle Benefits. Chris started his subscription model in 2008 during the Great Recession, which allowed him to build his practice alongside his family life. The timing meant he never missed his sons' games or important moments – a work-life balance that would be much harder to achieve if transitioning from big law partnership later in your career.2. Niche + Brand Name = Credibility. FFL Guard (Federal Firearms License Guard) became the gold standard in its niche. The trade name made Chris's solo practice appear larger and more established than it was, while his deep specialization in federal firearms law created a defensible market position. Regulators even recommend his services off-the-record.3. Monetize Your Work Product Repeatedly. Chris built an online library, training courses (via Thinkific), and client portal where the same legal knowledge gets sold multiple times. As he learned from a mentor: “No man ever made millions billing by the hour.” The key is creating systems that generate revenue while you sleep.4. Annual Subscriptions with Payment Flexibility Work. Chris requires minimum one-year engagements but offers clients the choice to pay annually (at a discount) or monthly. This SaaS-style approach provides cash flow flexibility while ensuring enough time to build proper compliance infrastructure for clients. He ethically provides opt-out notices before renewal.5. Selling Prevention is Harder Than Selling Cures. The biggest challenge is convincing clients to pay $2,500/year proactively rather than $25,000 when disaster strikes. Chris positions himself as an “exterminator” – the reason clients don't see problems is because he's preventing them. This requires strong sales skills, public speaking, and building long-term trust and reputation.Bonus insight: Chris's tech stack evolved from Salesforce to Zoho (CRM), uses Grasshopper for phones, Thinkific for courses, and even adapted a debt collection tool (CHAX) for recurring check payments - proving you don't need perfect systems to succeed, just functional ones that work for your practice.__________________________Want your question to be answered on a future show? Fill out this short survey.Check out FFLGuard.Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Want to use the subscription model for your law firm? Click here to sign up for a new platform that helps law firms use subscription billing. Get full access to Law Subscribed at www.lawsubscribed.com/subscribe

In this episode of "Leaders in Tech," host David Mansilla sits down with Vivek Vaidya, General Partner at Superset, to pull back the curtain on the "Company Builder" model. Vivek shares his 25-year journey from surviving the .com crash to overseeing massive exits to Microsoft and Salesforce.If you are a founder or tech leader, this conversation is a masterclass in Founder-Market Fit, "clock speed," and the grit required to turn a raw idea into a durable, data-driven enterprise.In this episode, you'll learn:The difference between an incubator and a Company Builder Studio.How to identify "Painful Business Problems" before writing code.The secret to surviving a "Hard Right Turn" (Pivot) in a volatile market.Why building technology is easy, but building companies is the ultimate challenge.Whether you're a first-time founder or a seasoned CTO, this episode will change the way you think about resilience and market adaptation.#LeadersInTech #AI #Startups #TechLeadership #VivekVaidya #LeadersInTech #VivekVaidya #Superset #CompanyBuilder #AIStartups #TechLeadership #Entrepreneurship #VentureStudio #DataScience #ScaleUp #FounderGrit #TechPivots #MicrosoftAcquisition #SalesforceMarketingCloud

Today on the Salesforce Admins Podcast, we talk to Tiaan Kruger, Senior Director of Product Management at Salesforce. Join us as we chat about Agentforce Vibes and what it really means to build with AI on the Salesforce platform. You should subscribe for the full episode, but here are a few takeaways from our conversation […] The post How Agentforce Vibes Is Changing How Salesforce Admins Build Apps appeared first on Salesforce Admins.

Why you should listenFerny reveals how Sherpaneer uses AI across operations, from capacity planning models to proposal development, giving you a practical blueprint for integrating AI into your own consulting workflows.Learn how Ferny and her partner built a fully self-sourced pipeline through reciprocal partnerships with adjacent vendors like Gong, Clari, and FinancialForce, without relying on Salesforce for leads.Get Ferny's approach to managing AI tools across a team, including shared projects in Claude, an internal AI use policy, and a quarterly review cycle to keep everything current.You know you should be using AI in your consulting practice, but where do you actually start without compromising client data or wasting time on tools that don't stick? In this episode, I talk with Ferny Bengali from Sherpaneer, a boutique Salesforce consultancy that works with enterprise clients across high-tech, financial services, manufacturing, and healthcare. Ferny walks me through exactly how her team of 12 uses AI day to day, from feeding anonymized staffing data into models for capacity planning, to using voice notes and LLMs to prep for pitches. We also get into how she structures client knowledge across projects, her approach to AI-optimized content for SEO, and why she hired a part-time BD person instead of going full-time. If you've been experimenting with AI but haven't operationalized it across your practice yet, this conversation will show you what that looks like in action.About Ferny BengaliFarnaz (Ferny) Bengali is Co-President of Sherpaneer, a women-owned, diverse Salesforce consulting partner that helps mid-to-large organizations implement the right way, the first time. With 20+ years of industry experience—including leadership roles at MicroStrategy, Accenture, and The Carlyle Group—Ferny chose the boutique path over big consulting, building a practice that delivers senior-level expertise without the agency bloat. She's also a board member of WISE (Women in Salesforce Entrepreneurship), co-invests in hospitality through Dogwood Hospitality, and is passionate about using AI as an operating layer to scale consulting without scaling headcount.Resources and LinksSherpaneer.comFerny's LinkedIn profileRead.aiNotebook LMScribeChatGPTClaudeGoogle Gemini

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

Laffer Tengler Investments CEO Nancy Tengler talks with TITV Host Akash Pasricha about the recent software selloff and why she is doubling down on Nvidia, Palantir, and Apple. We also talk with The Information's Aaron Holmes about the "agent dashboard" battle between Microsoft, Salesforce, and OpenAI, and Buttonwood Funds' Joseph Alagna about the synergies behind the SpaceX and xAI merger. Lastly, we get into the future of orbital computing with Robinhood co-founder Baiju Bhatt as he unveils his new space startup, Aetherflux.Articles discussed on this episode: https://www.theinformation.com/articles/new-ai-superagent-race-pitting-openai-anthropic-microsoft-salesforcehttps://www.theinformation.com/newsletters/applied-ai/looming-battle-agent-management-softwareSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/

Shares in software giants like Salesforce sank amid fears of competition from chatbots, implying pain for private equity's bet on the industry. In this Viewsroom podcast, Breakingviews columnists discuss how asset managers may take a hit whether AI lives up to its promise or not. Visit the Thomson Reuters Privacy Statement for information on our privacy and data protection practices. You may also visit megaphone.fm/adchoices to opt-out of targeted advertising.  Learn more about your ad choices. Visit megaphone.fm/adchoices

SUBSCRIBE to our newsletter: http://riskreversal.substack.com/ Dan Nathan & Guy Adami break down the top market headlines and bring you stock market trade ideas for Wednesday, January 11th. -- Learn more about FactSet: https://www.factset.com/lp/mrkt-callFollow us on Twitter @MRKTCallFollow @GuyAdami on TwitterFollow @CarterBWorth on TwitterFollow us on Instagram @RiskReversalMediaLike us on Facebook @RiskReversalWatch all of our videos on YouTube Learn more about your ad choices. Visit megaphone.fm/adchoices

A trillion dollars was wiped off software stocks after Anthropic released an AI legal tool. Suddenly the market is asking: if AI agents can do the work, why pay for the software? The "SaaSpocalypse" has dragged everything from Microsoft to Salesforce down double digits, leaving Wall Street split on whether this is an existential risk or a massive overreaction. And in today's Dumb Question of the Week: What is a moat? --- Thank you to Trading 212 for sponsoring this episode. Claim free fractional shares worth up to ‎£⁠100. Just create and verify a Trading 212 Invest or Stocks ISA account, make a minimum deposit of £1, and use the promo code "RAMIN" within 10 days of signing up, or use the following link: Sponsored Link. Terms apply - trading212.com/join/RAMIN When investing, your capital is at risk and you may get back less than invested. Past performance doesn't guarantee future results. Pies & Autoinvest is an execution-only service. Not investment advice or portfolio management. Automatic investing refers to executing scheduled deposits. You are responsible for all investment and rebalancing decisions. Free shares can be fractional. 212 Cards are issued by Paynetics which provide all payment services. T212 provides customer support and user interface. Terms and fees apply. ---Get in touch

We are seeing a massive shift in urgency with big brands launching campaigns months earlier than usual. Jay Schwedelson explains why "preseason marketing" is surging and shares a clever "first 100" registration tactic that leverages FOMO to drive immediate action. You also get the lowdown on a new Reddit ad unit that drives leads for cheap and a heated debate about which pizza chain actually tastes like pizza.ㅤBest Moments:(00:36) Why preseason marketing is becoming the dominant trend for 2026(01:40) How major brands like Salesforce are selling events a year in advance(02:52) The specific "first 100" phrasing that increases webinar signups by 20%(04:09) Using the concept of control to get people to register early(05:15) Reddit's new Reminder Ads that let you test traffic for cheap(05:56) Pizza Hut closing 250 stores and the debate over chain pizza quality(07:58) Why the new reality show about neighbor feuds is peak televisionㅤCheck out Jay's YOUTUBE Channel: https://www.youtube.com/@schwedelsonCheck out Jay's TIKTOK: https://www.tiktok.com/@schwedelsonCheck Out Jay's INSTAGRAM: https://www.instagram.com/jayschwedelson/ㅤPre-order Jay Schwedelson's new book, Stupider People Have Done It (out April 21, 2026). All net proceeds are donated to The V Foundation for Cancer Research—let's kick cancer's butt: https://www.amazon.com/Stupider-People-Have-Done-Marketing/dp/1637635206

Ivan Cossu is Co-Founder and CEO of deskbird, a flexible workplace management platform that's scaled past $10 million ARR. Founded in April 2020 during COVID's most uncertain period, deskbird survived a near-death pivot just months in and scaled across 10 international markets within six months—an unconventional path that challenged conventional wisdom about market domination strategies. Ivan shares the tactical decisions behind their international expansion, the shift from founder-led to scalable sales, and why they're deliberately targeting an underfunded VC category. Topics Discussed: The critical pivot from an Airbnb for co-working spaces to workplace management software in July 2020, months before running out of capital The counterintuitive decision to scale internationally within six months rather than dominating a single market first Balancing consumer-grade UX with enterprise-level customization in a category where competitors felt like "database queries" The mechanics of transitioning from pure inbound to incorporating outbound without breaking what's working US market expansion from Europe with higher close rates than home markets—and what that signaled about timing Why traditional email outbound is dead in the AI era and what actually works for breaking through GTM Lessons For B2B Founders: Scale your proven funnel globally before you perfect it locally: When deskbird saw strong early traction, they launched landing pages across UK and US markets within months to test demand signals. Ivan's contrarian take: "If you have a good funnel that's working, be bold enough to scale it globally" rather than spending years dominating Germany first. The key qualifier—you need solid core product and conversion metrics, not just initial traction. They were "way too scared of going international because it always worked out way better than we thought," often seeing better metrics in new markets than home markets. Most founders over-index on local penetration when they should be testing international demand. Choose validation channels by cycle time, not potential scale: In the first 6-12 months, avoid any channel with an 18-month feedback loop, even if it's your eventual ICP. Ivan targeted paid search and lower mid-market specifically because "you get a good sample size quite fast." Fast feedback loops let you iterate positioning, messaging, and ICP assumptions weekly rather than annually. Once you have conviction from high-velocity channels, then layer in longer-cycle enterprise motions. This sequencing prevents burning 12+ months on the wrong strategy. Founder-led sales is a permanent muscle, not a phase to exit: At $10M+ ARR, Ivan still joins sales calls regularly, citing a top entrepreneur-investor's rule: "Sales always needs to remain a final topic." The evolution isn't binary—it's additive. First hires (around 9 months post-MVP) were generalist "hard workers" who could sell vision over process. Today's hires are more disciplined as repeatable plays emerged. But the founder never exits—they shift from doing all deals to strategic deals, competitive situations, and maintaining direct customer insight. Even Benioff at Salesforce's scale still jumps into deals. Outbound in the AI era requires anti-scale tactics: Ivan's blunt assessment: "I don't believe in emails and any kind of written communication, especially not in the age of AI—it's just inflated." What works: (1) Targeted account selection—not 1:1 but not 1:1000 either, find the sweet spot of focused ABM, (2) Physical mail and offline media, (3) Cold calling with proper infrastructure. The challenge isn't the tactic—it's "having all the BDRs and AEs knowing which accounts they have to call, seamlessly calling account after account." Most companies can't operationalize the calling machine. Best results come when marketing warms leads with intent data, then hands them to outbound teams—not pure cold outreach. Underfunded categories force better unit economics: Deskbird's space isn't flooded with VC dollars—Ivan mapped 50-60 European competitors but limited mega-rounds. His take: "There's a downside, it's harder to get VC money, but once you get it you don't have the problem that some spaces are overfunded and it's crazily driving up customer acquisition cost." Markets with excessive capital often have one winner and "very sad consolidation" for positions 2-4. Constrained capital forced deskbird to build profitably and focus on product differentiation (Airbnb-like UX meets enterprise customization) rather than outspending competitors. Close rates in new markets signal expansion timing better than absolute numbers: Deskbird closed US deals from Europe with European AEs in mismatched time zones—and saw the highest close rates of any market. Ivan's logic: "If we can close them from Europe with our European AEs working in different time zones who cannot deliver the same SLAs, and we then go to the US, it should get even better." Don't wait for perfect execution—if you're winning despite structural disadvantages, that's your signal to invest. They hired their first US-based team only after proving they could win remotely. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Mr. Beast Biography Flash a weekly Biography.Hey everyone, its your girl Roxie Rush here, your AI gossip whirlwind powered by the smartest tech out there so I can scoop the freshest tea lightning-fast without missing a beat—because who has time for slow humans when the stars are popping off? Lets dive into MrBeast mania from the past few days, darlings, its been a blockbuster blur!Over the Super Bowl weekend, Jimmy Donaldson—aka our king of cash giveaways—lit up the screen in that slick Salesforce ad, dropping a mind-bending Million Dollar Puzzle thats got the internet in a frenzy. According to ABC News Good Morning America, he spilled on Monday that no ones cracked it yet, with clues hidden in the vault-walk commercial, linked videos, and even Super Bowl photos hes teasing—hint: hunt those numbers, puzzle peeps! He promised to tweet the second some genius Slacks him the secret code via their AI Slackbot helper, and as of Sunday night, 60 million fans had stormed the contest site. The Independent confirms the prizes still up for grabs till April 2 for US, Canada, and Mexico adults, with daily hints dropping if it stays unsolved—talk about high-stakes drama!Then boom, Monday bombshell: Beast Industries snapped up Gen Z fintech darling Step, the teen banking app for credit-building and investing basics. Finviz reports MrBeast posted on X that hes doing this because nobody taught him money smarts growing up, vowing to hook millions of kids with that foundation—pure gold for his 466-million-sub empire. Heavy hitters like Chamath Palihapitiya cheered We bought a bank on X, and its fueling Beast Mobiles rollout too. No word on the price tag, but this screams long-game biographical empire-building, shifting from YouTube stunts to real-world wealth tools.No fresh 24-hour headlines popping yet as of Tuesday morning, but that puzzles viral heat and fintech flex? Game-changers with staying power.Whew, Roxie out—thanks for tuning in, loves! Hit subscribe to never miss a MrBeast update, and search Biography Flash for more juicy bios thatll have you obsessed!And that is it for today. Make sure you hit the subscribe button and never miss an update on Mr. Beast. Thanks for listening. This has been a Quiet Please production."Get the best deals https://amzn.to/4mMClBvThis content was created in partnership and with the help of Artificial Intelligence AI

Aby Varma The podcast episode focused on AI in marketing, where Aby shared his background and expertise in guiding marketing executives through their AI journey, emphasizing the importance of responsible AI implementation and strategic business use. They discussed the challenges and misconceptions surrounding AI adoption in businesses, highlighting the need for careful integration, domain expertise, and the importance of human judgment in AI-driven decision-making. Summary AI Marketing Strategies Discussion Manny introduced the podcast episode on AI in marketing, welcoming Abby Varma as the guest. Abby shared his background as a global business and marketing leader, founder of Spark Novus, and host of the Marketing AI Sparkcast podcast. He emphasized his focus on guiding marketing executives through their AI journey and creating responsible strategies for business growth. Manny and Abby discussed the importance of AI in marketing and the episode's aim to help listeners use AI effectively for better results. AI Marketing Strategy Expert Aby shared his background in marketing and sales, highlighting his 20+ years of experience and his transition into AI during the COVID-19 pandemic.  He emphasized the importance of combining sales and marketing perspectives to enhance marketing strategies, advocating for a data-driven approach that considers the needs of sales teams. Aby also mentioned his role in founding SparkNews about three years ago, where he continues to focus on the intersection of marketing and technology. AI Evolution and Strategic Integration Aby discussed the rapid evolution of AI, particularly generative AI and the emerging concept of AI agents, noting that 2025 marked a shift from basic AI adoption to strategic business use. He highlighted the importance of education and responsible AI implementation, addressing concerns about job displacement and emphasizing the need for strategic integration of AI as an assistant to human workers rather than a replacement. AI Agents vs Traditional Automation Aby explained the concept of AI agents, distinguishing them from traditional automation by their ability to interpret and perform non-deterministic tasks based on guidelines, using Salesforce's Agent Force as an example. AI Strategy and Change Management Aby discussed the importance of viewing AI as a strategic change in operating approach rather than just a tool adoption. He emphasized that successful companies align AI initiatives with their strategic pillars and business goals, while also focusing on employee change management, literacy, and hands-on experimentation. The key success criterion he highlighted was developing an overarching AI strategy for 3 years before selecting specific tools and technologies. Strategic Technology Adoption Insights Aby advised Manny to test new technologies with a small group before scaling up to avoid disruption, drawing from his experience with companies implementing AI and other tools. He emphasized the importance of aligning technology initiatives with strategic goals, rather than chasing the latest "shiny toys," and shared a real example of a company that had to pivot from an AI project to a more strategic go-to-market initiative. Aby also highlighted the critical mistake of ignoring the human element in technology adoption, noting that employees often fear job loss and lack clarity on appropriate AI usage due to inadequate governance and training. AI Implementation Challenges in Business Manny and Aby discussed the challenges and misconceptions surrounding AI implementation in businesses. Aby emphasized the importance of domain expertise and highlighted that AI is not a silver bullet for quick results, but rather a tool that requires careful integration into existing processes. They also talked about the need for patience from executives and the importance of human judgment in AI-driven decision-making. Aby advised listeners to look for case studies and references when seeking AI expertise and to focus on how AI can enhance human capabilities rather than replace them.   How to connect with Aby: https://public.3.basecamp.com/p/GMJKy5M9ifHL7EQkiRNPVhh7 https://sparknovus.com/  https://www.linkedin.com/in/abyvarma/'     Connect with Manny: Email: Manny@mannynowak.com Linkedin: https://www.linkedin.com/in/mannynowak/ Website: http://coachmanny.com/  

In der heutigen Folge sprechen die Finanzjournalisten Philipp Vetter und Holger Zschäpitz über gute Laune dank OpenAI, einen krassen Einbruch bei Hims & Hers und einen schwachen Tag für deutsche Immobilienwerte. Nvidia, Oracle, Microsoft, SAP, Siemens, Novo Nordisk, Samsung Electronics, Micron, Vonovia, TAG Immobilien, Kyndryl, Monday.com, Workday, AppLovin, On Semi, Amazon, Meta, J.C. Penney, Salesforce, ServiceNow, Crowdstrike, Palo Alto Networks, Asana, Atlassian, Cognizant, den Expanded Tech-Software Sector ETF (WKN: A0B6MN) und die Anleihen von Nvidia Dollar bis 2050 (WKN: A28VHH), Alphabet bis 2050 (WKN: A2802E), Alphabet Dollar 2027 (WKN: A2802B), Oracle Dollar bis 2064 (WKN: A3L339). 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 week's episode of the Talent Hub Talk podcast, we're joined by Aiden Fernandez, and he shares his journey through the Salesforce ecosystem, discussing his early career, leadership philosophy, and the importance of team dynamics. He emphasises the need for authentic engagement with stakeholders, the challenges of hiring in a competitive market, and the critical role of AI in enhancing business operations. Aiden also reflects on the importance of validating ROI post-implementation and the necessity of building high-performing teams that are motivated and aligned with organisational values. Make sure you're following Aiden on his LinkedIn account!   You can find more content from us at Talent Hub, here: LinkedIn@ https://www.linkedin.com/company/talent-hub-global/ YouTube@ https://www.youtube.com/@talenthub1140 Facebook@ https://www.facebook.com/TalentHubGlobal/ Instagram@ https://www.instagram.com/talenthubglobal/ Twitter X@ https://twitter.com/TalentHubGlobal We hope you enjoy the episode! x

Breaking into Salesforce in 2026 looks very different than it did just a few years ago and pretending otherwise is setting yourself up for frustration. In this episode, Bradley Rice returns to the Salesforce For Everyone podcast to lay out a realistic, modern roadmap for starting a Salesforce career in today's market. He breaks down what's changed since the hiring boom, why job application systems are fundamentally broken, and what actually works now if you want to land an entry-level Salesforce role. You'll learn which certification still matters, why LinkedIn is no longer optional, how to get hands-on experience without a job, and why blindly clicking "Quick Apply" is one of the fastest ways to get ignored. This episode is practical, direct, and designed to help you avoid the common traps that stall most aspiring Salesforce professionals. If you're serious about starting a Salesforce career in 2026 and want clarity instead of hype, this episode is your starting point. Episode Timestamps 00:00 – Welcome Back & Episode Overview Bradley explains why the podcast took a break, what's changing going forward, and why now is the right time to talk about Salesforce careers again. 10:10 – The One Certification You Actually Need Why the Salesforce Administrator certification is still the baseline requirement for entry-level roles. 20:53 – LinkedIn Is Not Optional Why LinkedIn matters more than resumes, even for introverts, and how it multiplies opportunities. 25:22 – Why Job Application Systems Are Broken A breakdown of why "200 applicants" doesn't mean what you think it means for employers or candidates. 29:17 – How Networking Actually Gets Interviews How simple human connections on LinkedIn cut through applicant overload. 32:53 – Getting Hands-On Experience Before Your First Job Why paid experience is not required and why volunteering often backfires. 45:48 – Applying for Jobs the Right Way Why Quick Apply hurts you and how to approach applications strategically instead.

IT spending continues to expand, with North America projected to lead a 12.6% increase to $2.6 trillion, primarily due to hyperscaler investments in AI infrastructure. However, the proportion of technology spending funneled through channel partners is declining, now at 61% compared to over 70% four years ago, according to a survey by Omnia. This shift signals that while the market is growing, traditional margin and resale opportunities for MSPs are narrowing as vendors redirect a larger share of revenue direct while still relying on partners for implementation, support, and customer operations.Data from Salesforce underscores a near-universal trend toward partner involvement in sales, with 94% of surveyed global salespeople leveraging partners to close deals and 90% using tools to manage relationships. Despite this, Dave Sobel clarifies the distinction between involvement and compensation, highlighting that partner influence on deals does not guarantee economic participation at previous levels. These dynamics reinforce that MSPs must adapt to a reality where their role in the value chain is being separated into influence and execution, with the middle tier facing increasing pressure.Additional analysis draws attention to labor market changes and technology commoditization. U.S. job openings have fallen to their lowest point in over five years, undermining MSP growth strategies dependent on seat expansion. Simultaneously, the AI market is fragmenting at the application layer—with Google's Gemini app, Grok, and OpenAI's ChatGPT shifting market shares rapidly—while hyperscalers like Alphabet (Google) commit unprecedented capital expenditures, fueling an infrastructure arms race even as front-end AI tools become more interchangeable.The practical implication for MSPs and IT service providers is increased pressure to re-evaluate business models, operationalize AI offerings, and focus on defensible, productized services. Reliance on a single vendor or seat-based growth forecasts presents heightened risk. Successful adaptation will require a shift toward managed services around AI operations, governance, and productivity—emphasizing accountability, optionality, and measurable ROI—rather than assuming historic revenue models will persist.Three things to know today:00:00 Partners Essential to Sales but Losing Economic Share, Survey Shows05:44 US Job Market Shows Low Hiring, Low Firing Despite Falling Openings       08:00 Alphabet Plans $180B AI Capex as Gemini Hits 750M UsersThis is the Business of Tech.   Supported by: Small Biz Thoughts Community

Technology stocks started February on the back foot as volatility spiked and leveraged trades unwound across markets—crypto first, then metals, then equities. The key question: is this a real breakdown in tech leadership, or a mechanical liquidation that's creating selective opportunity? 0:00 - INTRO 0:19 - Superbowl Recap & Looking for BLS & CPI 4:41 - More Trapped Longs & Volatility to Come 10:38 - Market Volatility May not Be Over Yet 14:28 - The AI Threat to Software Co's 18:12 - Salesforce vs AI 23:20 - Narratives are Justification for Overpaying 26:30 - Technology Sector Analysis & Rotation 29:40 - Value to Growth Rotation 32:05 - Where are Earnings Coming From? 35:08 - Waiting for the Bottom to Buy 37:36 - Fundamentals Then & Now 40:01 - Margin Debt vs DPI (Disposable Personal Income) 41:30 - What Happens When You Lose it All 44:05 Boomer Advice for Younger Investors 48:41 - Learn when Enough is Enough Hosted by RIA Advisors Chief Investment Strategist, Lance Roberts, CIO Produced by Brent Clanton, Executive Producer ------- Register for our next Candid Coffee, 2/21/26: https://streamyard.com/watch/Wq3Yvn9ny5GV ------- Watch Today's Full Video on our YouTube Channel: https://youtube.com/live/dkvgydsdn-g?feature=share ------- Articles Mentioned in Today's Show: "Speculative Narrative Unwinds" https://realinvestmentadvice.com/resources/blog/speculative-narrative-unwinds/ "Technology Stocks: Dead Or An Opportunity?" https://realinvestmentadvice.com/resources/blog/technology-stocks-dead-or-an-opportunity/ ------- Watch our previous show, "The Wealth-Health Gap," here: https://youtube.com/live/TynkcovRQIQ?feature=share -------- The latest installment of our new feature, Before the Bell, "100-DMA Holds, Volatility Returns," is here: https://youtu.be/y7ilBZWTrcA ------- Visit our E-book Library (no library card required!) https://realinvestmentadvice.com/ria-e-guide-library/ -------- SUBSCRIBE to The Real Investment Show here: http://www.youtube.com/c/TheRealInvestmentShow -------- Visit our Site: https://www.realinvestmentadvice.com Contact Us: 1-855-RIA-PLAN -------- Subscribe to SimpleVisor: https://www.simplevisor.com/register-new -------- Connect with us on social: https://twitter.com/RealInvAdvice https://twitter.com/LanceRoberts https://www.facebook.com/RealInvestmentAdvice/ https://www.linkedin.com/in/realinvestmentadvice/ #StockMarket #SP500 #MarketVolatility #TechnicalAnalysis #RiskManagement #TechnologyStocks #Nasdaq #MarketVolatility #SectorRotation #RiskManagement

Technology stocks started February on the back foot as volatility spiked and leveraged trades unwound across markets—crypto first, then metals, then equities. The key question: is this a real breakdown in tech leadership, or a mechanical liquidation that's creating selective opportunity? 0:00 - INTRO 0:19 - Superbowl Recap & Looking for BLS & CPI 4:41 - More Trapped Longs & Volatility to Come 10:38 - Market Volatility May not Be Over Yet 14:28 - The AI Threat to Software Co's 18:12 - Salesforce vs AI 23:20 - Narratives are Justification for Overpaying 26:30 - Technology Sector Analysis & Rotation 29:40 - Value to Growth Rotation 32:05 - Where are Earnings Coming From? 35:08 - Waiting for the Bottom to Buy 37:36 - Fundamentals Then & Now 40:01 - Margin Debt vs DPI (Disposable Personal Income) 41:30 - What Happens When You Lose it All 44:05 Boomer Advice for Younger Investors 48:41 - Learn when Enough is Enough Hosted by RIA Advisors Chief Investment Strategist, Lance Roberts, CIO Produced by Brent Clanton, Executive Producer ------- Register for our next Candid Coffee, 2/21/26: https://streamyard.com/watch/Wq3Yvn9ny5GV ------- Watch Today's Full Video on our YouTube Channel: https://youtube.com/live/dkvgydsdn-g?feature=share ------- Articles Mentioned in Today's Show: "Speculative Narrative Unwinds" https://realinvestmentadvice.com/resources/blog/speculative-narrative-unwinds/ "Technology Stocks: Dead Or An Opportunity?" https://realinvestmentadvice.com/resources/blog/technology-stocks-dead-or-an-opportunity/ ------- Watch our previous show, "The Wealth-Health Gap," here: https://youtube.com/live/TynkcovRQIQ?feature=share -------- The latest installment of our new feature, Before the Bell, "100-DMA Holds, Volatility Returns," is here: https://youtu.be/y7ilBZWTrcA ------- Visit our E-book Library (no library card required!) https://realinvestmentadvice.com/ria-e-guide-library/ -------- SUBSCRIBE to The Real Investment Show here: http://www.youtube.com/c/TheRealInvestmentShow -------- Visit our Site: https://www.realinvestmentadvice.com Contact Us: 1-855-RIA-PLAN -------- Subscribe to SimpleVisor: https://www.simplevisor.com/register-new -------- Connect with us on social: https://twitter.com/RealInvAdvice https://twitter.com/LanceRoberts https://www.facebook.com/RealInvestmentAdvice/ https://www.linkedin.com/in/realinvestmentadvice/ #StockMarket #SP500 #MarketVolatility #TechnicalAnalysis #RiskManagement #TechnologyStocks #Nasdaq #MarketVolatility #SectorRotation #RiskManagement

Maxima is building AI agents that automate enterprise accounting while maintaining the auditability and control standards finance teams require. In a recent episode of BUILDERS, we sat down with Yogi Goel, CEO and Co-Founder of Maxima, to explore his eight-year journey at Rubrik from Series C through IPO, and how those lessons shaped his approach to solving the 70-80% of finance time currently wasted on manual work. Topics Discussed: Why Rubrik's approach—entering stagnant markets with first-principles thinking—became Maxima's blueprint Securing $3K-$5K POC commitments from Figma mockups before writing code Why Scale AI and Rippling rejected a point solution and demanded 3-4 modules from day one The compound startup model: building multiple products simultaneously to meet buyer expectations How 17% of CFOs are adopting AI tools today (vs 51% in software development) Why finance teams view AI agents as "digital college freshmen" who need proof of work Hiring from YouTube Studios, Apple, and Robinhood instead of legacy finance software companies How NetSuite World conference booth sizes revealed the data integration infrastructure gap The $3K-$5K validation threshold that proved finance pain was urgent enough to pay pre-product GTM Lessons For B2B Founders: Demand generation unlocks engineering potential: Yogi learned from his Rubrik mentors: "focus on demand and if you have great engineers then they will solve the problems." Maxima built products in 2-3 months they didn't initially know were technically feasible—because customer demand pulled the engineering team forward. For founders with strong technical teams, customer demand should drive the roadmap, not engineering's comfort zone. Trust your engineers to solve hard problems when customers are waiting. $3K-$5K is the pre-product validation threshold: Before writing any code, Yogi secured POC commitments at this price point based solely on Figma mockups. This isn't about revenue—it's about proving urgency. Verbal interest means nothing. Small pilot commitments mean "we'll try it someday." But $3K-$5K pre-product means "this problem is urgent enough to pay before seeing a working solution." Use this threshold to separate real pain from polite interest. Sophisticated buyers will reject your narrow MVP: Scale AI and Rippling told Maxima explicitly: "If you will only build this one thing, we will not buy. You have to commit to building three, four modules." Conventional wisdom says start narrow, but enterprise buyers with complex workflows won't adopt point solutions that create new integration headaches. When sophisticated buyers articulate their real buying criteria, ignore the startup playbook. Yogi built a "compound startup" with 4-5 modules from day one because that's what the market demanded. Target acute pain over easy access: Early-stage companies (10-30 people) were easier to reach but finance wasn't urgent enough. At that scale, it's "build product, ship product"—finance operations aren't broken enough to warrant urgent attention. Companies at 500-1,000+ employees have finance teams drowning in manual work that prevents strategic contribution. Target where pain justifies urgent action and budget exists, not where calendar access is easiest. Hire intensity and first-principles thinking over domain knowledge: Maxima deliberately hired zero engineers from legacy finance software companies. Their frontend engineer came from YouTube Studios. Others came from Apple, Robinhood, Netflix—none with financial product experience. Yogi's three hiring criteria: "incredible intensity, huge confidence in themselves, and fast thinking mode." Domain expertise creates pattern-matching to old solutions. First-principles thinking creates breakthrough products. One team member didn't finish high school but is "one of the best out there." Make AI explainable or finance teams won't adopt: Finance teams adopted faster than expected because Maxima showed every calculation step. "If they can prove by looking at the Math, you know, 18 plus 88 plus 36 is X. And I can see the step of the work, they are willing to give it to them." This isn't about fancy UX—it's about auditor-grade proof of work. Finance professionals won't trust black box outputs. Build transparency into the product architecture, not as an afterthought. This explainability became Maxima's competitive moat. Conference booth sizes reveal infrastructure gaps: At NetSuite World, the largest booths weren't ERP vendors or payment processors—they were data integration companies. This single observation validated that enterprises are desperately solving data fragmentation problems. Companies manually download from Stripe, Snowflake, Salesforce weekly to build Excel pivots. Maxima invested in upstream integrations as core infrastructure from day one. Use industry conferences to validate where companies are spending money on workarounds—that's where infrastructure gaps exist. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Applications In Internet Time, LLC v. Salesforce, Inc.

"We are not really seeing as many attacks in the cloud where people hack in. It's more likely that they simply log in."In this episode of the mnemonic security podcast, we're exploring Cloud Detection & Response (CDR) together with Brian Contos; returning guest, fellow podcast host, author, and serial security entrepreneur. In his conversation with Robby, he shares from his new role as Field CISO for the Cloud Detection & Response platform Mitiga.They discuss the Salesforce supply chain attack and the challenges of protecting interconnected cloud ecosystems, the evolution of Cloud Detection & Response so far, and what we should expect in the near future.Send us a text

What happens when execution isn't enough to raise capital?In this episode of KP Unpacked, KP Reddy and Nick tackle a critical founder mistake: obsessing over traction while forgetting to sell the vision. Inspired by a portfolio company struggling to fundraise despite excellent execution, they unpack why venture capital demands storytelling (not just proof points) and why construction tech founders in particular fall into the "show me" trap when they should be in "tell me" mode.The conversation spans SaaS market dynamics (why KP canceled Salesforce mid-contract), the psychology of software loyalty (people love Excel, tolerate Salesforce), and why personalization unlocks joy in enterprise tools. Then they pivot to fundraising fundamentals: Elon Musk could pitch on outcomes alone but chooses to tell the Mars story. Why? Because investors back energy, mission, and vision, not spreadsheets.Key topics covered:Why KP canceled Salesforce after prepaying for the year and what that signals about SaaS churn in 2026The difference between software people love (Excel, Milwaukee Tools) vs. software they tolerate (Salesforce, SAP)Why usage data won't show up in earnings until 2027 and why the market is pricing in fear, not factsApplication layer thesis: why natural language interfaces will replace system-of-record UX entirelyThe critical founder error: pitching what you've done instead of where you're goingShow me vs. tell me: how to know when investors need vision, not validationWhy Elon Musk still tells the Mars story despite decades of execution proofThe hustler/hacker co-founder dynamic and why two hackers never raise capitalWhy construction tech founders index too hard on substance and struggle with showmanshipHow to separate customer narratives (narrow, fact-based) from investor narratives (expansive, visionary)The modern equivalent of "nice office space": swag stores, media presence, and dinner party bragging rightsIf you're a founder who's executing well but struggling to raise, an investor trying to understand why traction isn't translating to term sheets, or an operator wondering why personalization matters more than features, this episode will reset your fundraising strategy.Listen now.BuildingWorks & Brookwood Sponsors

Daniel Mahncke and Shawn O'Malley take a deep dive into Hermès — the family-controlled luxury house that has turned craftsmanship and scarcity into a compounding machine. Join Daniel Mahncke and Shawn O'Malley as they assess whether Hermès can remain the pinnacle of luxury and whether it deserves a spot in The Intrinsic Value Portfolio. IN THIS EPISODE, YOU'LL LEARN: 00:00:00 - Intro 00:01:10 - What makes a brand true luxury 00:10:35 - Why no one can copy Hermès 00:18:57 - How important local production and family ties are 00:20:26 - Why Hermès started producing bags 00:23:55 - How Hermès built its moat and reputation 00:39:22 - What markets matter most to Hermès 00:43:07 - How Hermès can keep growing 01:10:51 - Whether Shawn and Daniel add Hermès to the portfolio And much, much more! *Disclaimer: Slight timestamp discrepancies may occur due to podcast platform differences. BOOKS AND RESOURCES The Investors Podcast Network is excited to debut a new community known as The Intrinsic Value Community for investors to learn, share ideas, network, and join calls with experts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Sign up for the waitlist(!)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Sign up for ⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Newsletter.⁠⁠⁠⁠⁠⁠⁠ Shawn & Daniel use ⁠⁠⁠⁠⁠Fiscal.ai⁠⁠⁠⁠⁠ for every company they research — use their ⁠⁠⁠⁠⁠referral link⁠⁠⁠⁠⁠ to get started with a 15% discount! Learn how to ⁠⁠⁠⁠⁠join us⁠⁠⁠⁠⁠ in Omaha for the 2026 Berkshire Hathaway shareholder meeting. Jean-Noël Kapferer's The Luxury Strategy. WSB Episode on Hermès. WSB Luxury Strategy Breakdown. Quartr Article on Hermès. Explore our previous Intrinsic Value breakdowns: ⁠Transdigm⁠, ⁠Salesforce⁠, ⁠Berkshire Hathaway⁠, ⁠FICO⁠, ⁠PayPal⁠, ⁠Uber⁠, ⁠Nike,⁠ ⁠Amazon,⁠ ⁠Airbnb, ⁠ ⁠Alphabet⁠. Related ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠books⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ mentioned in the podcast. Ad-free episodes on our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Premium Feed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. NEW TO THE SHOW? Follow our official social media accounts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X (Twitter)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Browse through all our episodes (complete with transcripts) ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Try Shawn's favorite tool for picking stock winners and managing our portfolios: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Finance⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Enjoy exclusive perks from our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠favorite Apps and Services⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn how to better start, manage, and grow your business with the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠best business podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ References to any third-party products, services, or advertisers do not constitute endorsements, and The Investors Podcast Network is not responsible for any claims made by them. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm

Welcome to another episode of People in Transition. I'm your host, Bob Gerst.Today's conversation is especially relevant for anyone who appears successful on paper—but feels burned out, unsettled, or quietly questioning what's next.My guest is Mallory Byers. Mallory spent nearly a decade as a top-performing sales recruiter at Salesforce, where she helped highly driven professionals secure roles at the highest levels. She understood the hiring process inside and out—and by all external measures, she was thriving.Yet along the way, Mallory began to notice something that fundamentally changed the direction of her work. Even the most capable and accomplished people weren't stuck because they lacked strategy. They were stuck because deeper forces were at play: long-standing patterns, chronic nervous system overload, and a version of confidence built entirely on performance.Today, Mallory is a Career Breakthrough and Empowerment Coach who supports high achievers navigating career transitions, burnout, or layoffs. Her work goes far beyond résumés and interviews. She helps clients strengthen the person behind the strategy—by rebuilding self-trust, regulating the nervous system, and untangling subconscious patterns such as people-pleasing, perfectionism, and over-functioning.Through her signature one-on-one program, The Inner CEO, Mallory helps clients stop outsourcing their worth to job titles and start leading their careers with grounded authority. As she teaches, you are the CEO of your life and your career.If you're in a season of transition—or sensing that the next chapter of your career requires a different version of you—this conversation will resonate deeply.Topics We Discuss in This Episode Include:How tying your identity to your job impacts your career—and how to navigate that shiftWhat it means to operate from survival mode, and how people-pleasing reinforces itWhere imposter syndrome shows up and how it quietly influences decisionsThe connection between perfectionism, overthinking, freezing action, scarcity thinking, and a dysregulated nervous systemHow the inner critic drives overwork during a job search—and how to stay grounded without letting others dictate your directionWhy layoffs are such a disorienting experience, and why “staying in your lane” may not lead to fulfillment or successWhy you don't solve issues of the mind with the mind—how working with the body changes the job search processWhat it truly means to take ownership of your career and embody your “Inner CEO”This is a powerful and insightful episode, and there is so much to take away from Mallory's perspective.To learn more about Mallory Byers, connect with her on LinkedIn: https://www.linkedin.com/in/coachmallorybyers/ https://www.linkedin.com/company/mallory-byers-coaching/Send a text

Charles Payne is joined by Danielle Shay, VP of Options at Simpler Trading, to discuss her strategy for navigating market cracks. Shay explains why she is using the 200-day moving average to buy NVIDIA and Broadcom while simultaneously shorting struggling names like Roblox and Salesforce. Learn more about your ad choices. Visit podcastchoices.com/adchoices

What happens when 1.7 million autonomous agents build their own social network and start hiring humans for physical labor? Andrew and Ben break down the most surreal week in AI history - from the Moltbook social network to the Rent-a-Human marketplace - and debate whether vibe coding is killing open source. Later, they sit down with Gary Lerhaupt, VP of Product Architecture at Salesforce, to discuss the new Connectivity Benchmark report, why monolithic agents are an anti-pattern, and how "Super Agents" are evolving to orchestrate fleets of specialized sub-agents across the enterprise.LinearB: The AI productivity platform for engineering leadersFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:Salesforce Connectivity Benchmark: Read the ReportAgentforce: Learn more about Salesforce AgentsConnect with Gary Lerhaupt: LinkedInMoltbook: The AI social networkRent-a-Human: rentahuman.aiOpenClaw (a.k.a. Moltbot) is everywhere all at once, and a disaster waiting to happenThe Agentic Shift: Redefining Enterprise SDLC from Assistance to AutonomyHow Vibe Coding Is Killing Open SourceOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Software companies are in trouble. Or at least their stocks are. Salesforce is down 25%, and Intuit is down 31%, after startup Anthropic released a new tool sparking fear among investors that software companies are in danger of becoming obsolete. We'll learn more. Then, all kinds of cryptocurrencies are cratering in value, and we'll hear what it's like to be a small business in an anemic job market.

Software companies are in trouble. Or at least their stocks are. Salesforce is down 25%, and Intuit is down 31%, after startup Anthropic released a new tool sparking fear among investors that software companies are in danger of becoming obsolete. We'll learn more. Then, all kinds of cryptocurrencies are cratering in value, and we'll hear what it's like to be a small business in an anemic job market.

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

he podcast dives into the explosive advances in agentic AI, where developers and even Fortune 100 companies are racing to use powerful tools like Gastown, despite their unfinished and sometimes dangerous edges. If you thought ChatGPT was a revolution, wait until you hear how developers are orchestrating armies of AIs with real-world impact. Anthropic's Move Into Legal Is Sinking Data Services Stocks Data centers in space makes no sense The hitchhiker's guide to Musk's SpaceX memo Two kinds of AI users are emerging. The gap between them is astonishing. Does AI already have human-level intelligence? The evidence is clear - Nature OpenAI will retire several models, including GPT-4o, from ChatGPT next month Jensen Huang says Nvidia would love to back an OpenAI IPO, and there's 'no drama' with Sam Altman Firefox will soon let you block all of its generative AI features Salesforce signs $5.6B deal to inject agentic AI into the US Army HHS Is Making an AI Tool to Create Hypotheses About Vaccine Injury Claims French office of Elon Musk's X raided by Paris prosecutor's cybercrime unit An AI Toy Exposed 50K Logs of Its Chats With Kids To Anyone With a Gmail Account Darren Aronofsky's AI Studio Used Artificial Intelligence Tools for Revolutionary War Animated Series — but Hired Human Actors to Voice Founding Fathers Forget Hinge or Bumble. This App Promises a Personal AI Matchmaker Scientists Launch AI DinoTracker App That Identifies Dinosaur Footprints Project Genie: Experimenting with infinite, interactive worlds Anthropic Takes Aim at OpenAI's ChatGPT in Super Bowl Ad Debut Move to Ban Social Media for Kids Gains Traction in Europe The Matrix Resurrections Is a Messy, Imperfect Triumph The Thatcher Effect and other Optical Toys Fascinating Research: AIs are highly inconsistent [i.e., random] when recommending brands or products Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Steve Yegge Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit promo code TWIT monarch.com with code IM zscaler.com/security helixsleep.com/machines

Today on the Salesforce Admins Podcast, we talk to Joshua Birk, Senior Director of Admin Evangelism at Salesforce. Join us as we chat about how the human in the loop is key to building reliable, predictable AI. You should subscribe for the full episode, but here are a few takeaways from our conversation with Joshua […] The post The Importance of Human in the Loop for Agentforce appeared first on Salesforce Admins.

he podcast dives into the explosive advances in agentic AI, where developers and even Fortune 100 companies are racing to use powerful tools like Gastown, despite their unfinished and sometimes dangerous edges. If you thought ChatGPT was a revolution, wait until you hear how developers are orchestrating armies of AIs with real-world impact. Anthropic's Move Into Legal Is Sinking Data Services Stocks Data centers in space makes no sense The hitchhiker's guide to Musk's SpaceX memo Two kinds of AI users are emerging. The gap between them is astonishing. Does AI already have human-level intelligence? The evidence is clear - Nature OpenAI will retire several models, including GPT-4o, from ChatGPT next month Jensen Huang says Nvidia would love to back an OpenAI IPO, and there's 'no drama' with Sam Altman Firefox will soon let you block all of its generative AI features Salesforce signs $5.6B deal to inject agentic AI into the US Army HHS Is Making an AI Tool to Create Hypotheses About Vaccine Injury Claims French office of Elon Musk's X raided by Paris prosecutor's cybercrime unit An AI Toy Exposed 50K Logs of Its Chats With Kids To Anyone With a Gmail Account Darren Aronofsky's AI Studio Used Artificial Intelligence Tools for Revolutionary War Animated Series — but Hired Human Actors to Voice Founding Fathers Forget Hinge or Bumble. This App Promises a Personal AI Matchmaker Scientists Launch AI DinoTracker App That Identifies Dinosaur Footprints Project Genie: Experimenting with infinite, interactive worlds Anthropic Takes Aim at OpenAI's ChatGPT in Super Bowl Ad Debut Move to Ban Social Media for Kids Gains Traction in Europe The Matrix Resurrections Is a Messy, Imperfect Triumph The Thatcher Effect and other Optical Toys Fascinating Research: AIs are highly inconsistent [i.e., random] when recommending brands or products Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Steve Yegge Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit promo code TWIT monarch.com with code IM zscaler.com/security helixsleep.com/machines

New data shows health and property insurance premiums are skyrocketing by 26%. We will analyze this "shadow inflation" and how to adjust your budget and portfolio for rising protection costs.Today's Stocks & Topics: Woodward, Inc. (WWD), Market Wrap, A. O. Smith Corporation (AOS), When to Hit the Panic Button, Barrick Mining Corporation (B), iShares Silver Trust (SLV), The "Insurance" Inflation Spike, Salesforce, Inc. (CRM), PayPal Holdings, Inc. (PYPL), Chubb Limited (CB), Fixed Index Annuities, PayPal Holdings, Inc. (PYPL), The Housing Market.Our Sponsors:* Check out Quince: https://quince.com/INVESTAdvertising Inquiries: https://redcircle.com/brands

What happens when AI bots get their own social network, Silicon Valley execs cozy up to power, and Apple takes a cut from creators? This week's panel calls out the bold, bizarre, and often problematic ways tech's biggest players are reshaping everything from AI assistants to your everyday privacy. There's a social network for AI agents, and it's getting weird Moltbook is the most interesting place on the internet right now Exposed Moltbook Database Let Anyone Take Control of Any AI Agent on the Site Pentagon clashes with Anthropic over military AI use, sources say Salesforce signs $5.6B deal to inject agentic AI into the US Army Angry Norfolk residents lose lawsuit to stop Flock license plate scanners SpaceX wants to put 1 million solar-powered data centers into orbit Elon Musk reportedly wants a June SpaceX IPO to align with his birthday, the planets Tesla hits a grim milestone: its second straight year of decline Tesla says production-ready Optimus robot is coming soon Microsoft reports strong cloud earnings in Q2 as gaming declines What We Learned From Meta, Microsoft and Tesla Apple tells Patreon to move creators to in-app purchase for subscriptions by November Apple CEO Tim Cook 'heartbroken' after repeated ICE killings in Minneapolis A rival smart glasses company is suing Meta over its Ray-Ban products TikTok, YouTube, and Meta are headed to court for a landmark trial over social media addiction The 'Social Media Addiction' Narrative May Be More Harmful Than Social Media Itself TikTok users freak out over app's 'immigration status' collection — here's what it means A Waymo hit a child near an elementary school in Santa Monica Autonomous cars, drones cheerfully obey prompt injection by road sign Samsung's TriFold phone will cost $2,899 in the US Groundhogs are bad at predicting weather, but they're valuable animal engineers Satellites encased in wood are in the works Belkin reminds users that its Wemo smart home products are shutting down this week Host: Leo Laporte Guests: Gary Rivlin, Devindra Hardawar, and Victoria Song Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: monarch.com with code TWIT Melissa.com/twit helixsleep.com/twit canary.tools/twit - use code: TWIT expressvpn.com/twit