Podcasts about Algolia

Pour l'épisode de cette semaine, je reçois Louis Lecat, co-fondateur et CEO de Upstream.Upstream, c'est un client email collaboratif qui ambitionne de transformer la façon dont les équipes communiquent, en combinant email et chat dans une seule interface moderne et structurée.Au cours de notre échange, Louis revient sur son riche parcours dans le produit, de San Francisco à Paris : AgileOne, Asana, Algolia… avant de co-fonder Upstream avec Jonathan Tiret (ex-VP Engineering chez Doctrine). Ensemble, ils ont pris le contrepied des approches classiques en choisissant de construire pendant près de deux ans une solution robuste avant de lancer, notamment en passant par Y Combinator en 2023.Nous avons parlé des choix techniques et UX derrière Upstream, de la stratégie produit, de leur approche très intentionnelle du recrutement et de la culture d'entreprise, mais aussi de leurs enjeux à venir côté go-to-market pour faire adopter un nouveau standard de communication dans les équipes.Vous pouvez suivre Louis sur LinkedIn.Bonne écoute !Mentionné pendant l'épisode :Y CombinatorSuperhumanStratechery de Ben ThompsonLenny's NewsletterPour soutenir SaaS Connection en 1 minute⏱ (et 2 secondes) :Abonnez-vous à SaaS Connection sur votre plateforme préférée pour ne rater aucun épisode

Quand on pense à une startup à succès, on imagine une IPO spectaculaire ou un rachat retentissant. Mais il existe une voie plus discrète — et tout aussi stratégique : celle du marché secondaire. Et c'est précisément là que David Laroque entre en jeu. Ancien banquier en levée de fonds et M&A, David est aujourd'hui l'un des grands spécialistes français du VC secondary chez Bryan Garnier, désormais intégré au groupe Stifel. Son métier ? Permettre aux premiers investisseurs, aux fondateurs, voire à des fonds entiers… de sortir au bon moment. Il a vu passer les plus belles scale-ups européennes : Klarna, Backmarket, Algolia, Revolut… Et dans l'ombre, il sait évaluer ces parts mieux que quiconque… et trouver les acheteurs capables d'en révéler toute la valeur. Dans cette interview Voix de la Finance, on plonge dans les coulisses du venture capital secondaire : ses deals les plus marquants, et comment il parvient à créer de la liquidité — qu'il s'agisse d'opérations LP-led, GP-led ou Company-led.Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Jason Lemkin is one of the leading SaaS investors of the last decade with a portfolio including the likes of Algolia, Talkdesk, Owner, RevenueCat, Saleloft and more.  Rory O'Driscoll is a General Partner @ Scale where he has led investments in category leaders such as Bill.com (BILL), Box (BOX), DocuSign (DOCU), and WalkMe (WKME), among others. In Today's Episode We Discuss: 04:23 What is Wrong with Billionaires on Twitter: Are They Depressed? 08:49 Why Does product Market Fit Mean Less Than Ever 11:50 Why is Venture Capital More Risky Than Ever and No One is Discussing It 16:17 Will Private Equity Save a Generation of SaaS Companies and VCs 23:53 a16z's $20BN Fund: Seriously? 31:29 Why Josh Kushner and Thrive Capital are Masters of the World 38:21 Why is Seed Investing for Suckers 45:49 Why Are $50 Million Seed Funds Useless 46:21 Founders Fund Raises $4.6BN: Analysis 52:00 How WIll LPs Change Their Approach to Venture in the Next Five Years 59:53 When Will IPOs Comeback? 01:09:15 Why Does it Not Make Sense for the Best Companies to IPO 01:09:51 Lost Ethics and Morals in Founder Secondaries and Term Sheets 01:22:58 Quickfire: OpenAI, Cursor, Deel vs Rippling      

Pour l'épisode de cette semaine, je reçois Guillaume Duvaux, GTM Coach et fondateur de The First One Million, une newsletter et un programme d'accompagnement pour les fondateurs de SaaS en phase de lancement.Guillaume a un parcours impressionnant : après avoir démarré chez Algolia en tant que 11e employé, il a contribué à leur croissance de moins d'1 million à 65M€ d'ARR. Il est ensuite passé par Datadog, avant de fonder Terrality, puis de devenir GTM Coach en accompagnant des fondateurs comme ceux de Poolside, avec qui il a lancé le go-to-market et contribué à la levée de 620M$.Dans cet épisode, on est revenu sur :Les 5 variables essentielles à maîtriser pour trouver son product-market fitPourquoi les fondateurs doivent eux-mêmes faire les premières ventesComment créer un système de go-to-market rigoureux basé sur des itérations hebdomadairesL'importance de l'accountability dans les premiers moisPourquoi l'outbound manuel est encore le canal le plus efficace en early stageSa nouvelle offre communautaire autour de The First One MillionUn épisode riche en conseils concrets pour toutes celles et ceux qui cherchent à aller de 0 à 1 million d'ARR plus vite et plus efficacement.Vous pouvez suivre Guillaume sur LinkedIn et vous inscrire à sa newsletter ou à la waitlist de son programme.Bonne écoute !Pour soutenir SaaS Connection en 1 minute⏱ (et 2 secondes) :Abonnez-vous à SaaS Connection sur votre plateforme préférée pour ne rater aucun épisode

Jack Moberger, Head of Sales at DocUnlock, joins us to discuss the evolution of B2B sales, AI-driven automation and the changing landscape of global trade. Jack shares insights from his time at Algolia and how his current role is transforming customs brokerage through digitization.Key Takeaways:(03:22) Why “corporate polycrisis” is a reality for many businesses.(06:02) The challenges of B2B search and discovery for vendors.(08:28) The era of generic B2B messaging is ending.(13:37) Supply chains are now more complex and interconnected.(15:41) How customs brokerage and freight forwarding are becoming more complex.(18:33) What DocUnlock does to automate customs clearance and reduce manual work.(23:37) AI is enabling compliance-heavy industries to scale efficiently.(27:50) AI thrives in workflows with clear, correct answers.(29:38) B2B digitization isn't killing sales — it's evolving it.(35:37) Why eCommerce teams should be involved in sales forecasting.(39:36) Regulatory changes create immediate demand for expert advice.(43:27) Some of the best tech insights come from under-the-radar sources.Resources Mentioned:Jack Moberger -https://www.linkedin.com/in/jmoberger/DocUnlock -https://www.linkedin.com/company/docunlock-ai/World Trade Organization -https://www.wto.org/"The Three-Body Problem" by Cixin Liu -https://www.amazon.com/Three-Body-Problem-Cixin-Liu/dp/0765382032Thanks for listening to the “B2B Commerce UnCut: A Journey Through Change,” powered by Oro. If you enjoyed this episode, leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.#eCommerce #B2BeCommerce #DigitalCommerce

Join us for a deep dive into indie hacking with Jonathan Wilke. Discover insights on building SaaS without funding. Share your thoughts in the comments! https://codingcat.dev/podcast/supastarter-and-indie-hacking-with-jonathan-wilke Sponsors: - Cloudinary https://cld.media/codingcatdev - Algolia https://www.algolia.com/?utm_source=codingcatdev 00:00 Introduction 00:42 Indie Hacking Insights 03:16 Superstarter Overview 10:10 Ad Break 11:35 Feature Highlights 17:30 Better Auth Discussion 22:32 Deployment Challenges 39:20 Full Control Benefits 50:14 Closing Thoughts

Algolia is powering up with AI to provide users with intent-driven results. In this episode, guest host Brendan Cameron is joined by Nick Vlku, VP of Product Growth at Algolia. They examine AI-driven search tools and personalized support, the future of search with AI, and more! Learn how Algolia and Americaneagle.com can guide your AI implementation journey, driving traffic and delivering impactful results. This podcast is brought to you by Americaneagle.com Studios. Follow this podcast wherever you listen to them! Connect with: Lessons for Tomorrow: Website // Twitter // Instagram // Facebook // YouTube Tim Ahlenius: LinkedIn // Twitter Brendan Cameron: LinkedIn Nick Vlku: LinkedIn Resources: Algolia | Algolia Search Implementation & Optimization Services

ABOUT THIS EPISODE: In this episode, James Gurd & Paul Rogers interview David Magee, Product Director at World of Books, about their recent migration from Commercetools to Shopify. The conversation covers the strategic shift towards direct-to-consumer sales, the challenges faced with their legacy tech stack, and the innovative solutions implemented during the migration process. David shares insights on the importance of middleware, A/B testing for performance validation, and the project management structure that supported this significant transition. In this conversation, David Magee discusses the integration of Algolia for search and recommendations, the challenges faced in navigating international markets with Shopify, and the transition to Shopify Enterprise. He emphasises the importance of a build-measure-learn approach during migration, the significance of partner selection, and the complexities of launching a new site while ensuring a good customer experience. The discussion highlights the lessons learned from these experiences and the proactive strategies needed to overcome challenges in ecommerce. Key takeaways: World of Books aims to be the world's largest sustainable online bookstore. The migration to Shopify was driven by rising costs and the need for innovation. Custom middleware was developed in-house to handle complex data integration. A/B testing was crucial to validate the new site's performance against the legacy system. Direct involvement from leadership was essential for project success. The migration process included extensive customer feedback and competitor analysis. Understanding data quality was key to the migration process. Understanding platform limitations is crucial during migration. A build-measure-learn approach is vital for success. Deciding when to launch a new site is complex. Collaboration with Shopify's product team was valuable. Clarity on success metrics helps align team efforts.

Enregistrer chez YC (prononcer Ouaille Ci) - quand on est un enfant des startups, c'est un peu comme aller pour la première fois à Legoland quand on est fan de légos.Y Combinator, c'est le plus gros accélérateur de Startups au monde.Tous les ans, ils reçoivent plus de 50.000 candidatures de jeunes pousses de la tech du monde entier, qui veulent changer le monde grâce à leurs innovations.50.000 projets, c'est ce qui vous permet de voir le futur. YC est une vigie du futur du business et des applications concrètes du digital.J'ai eu la chance d'enregistrer cet épisode avec un entrepreneur français non moins exceptionnel, Nicolas Dessaigne, co-fondateur d'Algolia, lui-même passé par YC il y a une douzaine d'années et désormais Partner de l'accélérateur.“Chaque partie du monde a son industrie locale, ici à San Francisco c'est les startups”Une phrase qui résume plutôt bien Y-Combinator, où Nicolas Dessaigne nous reçoit pour cet épisode.Il me raconte son parcours, le développement impressionnant d'Algolia pendant plus de 10 ans et les défis qui l'accompagnent.Bienvenue dans l'arrière-cuisine des plus grandes réussites de la tech, comment elles se conçoivent et bien plus.On parle de tout :⁠⁠Pour percer dans la Silicon Valley, il faut être sur placeAlgolia : les meilleures leçons que l'on garde à vieFounders Mode vs Manager ModeComment Y Combinator trouve les investissements gagnants⁠Les “next big things” de l'IA et pourquoi nous n'en sommes même pas au débutÉchec et pivot : pourquoi le pire, c'est le ventre mou⁠Pourquoi Google vieillit, et ouvre la porte aux petits nouveaux à ses dépensDe l'impact de l'IA sur la créativité aux erreurs stratégies de géants comme Google… un épisode passionnant pour comprendre le mode de fonctionnement des meilleurs start-ups au monde.Bienvenue dans un univers où tout va dix fois plus vite, où chaque idée a le potentiel de transformer le monde.TIMELINE:00:00:00 : Y-Combinator : comment ça marche ?00:09:16 : Construire vite, apprendre et pivoter00:14:07 : Le parcours de Nicolas00:23:45 : Comment YC choisit ses startups00:32:53 : Culture et recrutement des talents00:42:25 : Les meilleures erreurs00:58:06 : L'IA à toutes les étapes, productivité éthique et mensonges01:07:19 : Les prochains secteurs gagnants01:19:47 : YC à travers le monde et Founders Mode01:38:24 : Fun de type 1 et fun de type 201:45:03 : Fin de Algolia et conseils de NicolasLes anciens épisodes de GDIY mentionnés :#426 - Thomas Clozel - Owkin - Comment casser le Big Pharma grâce à l'IA#286 - Benjamin Netter - Riot - Pourquoi la cybersécurité doit être l'affaire de tous#421 - Jean-Charles Samuelian - Alan - Aller jusqu'au bout de ses convictions et transformer l'essai#424 - Olivier Dellenbach - ChapsVision, eFront - Créer le Big brother au grand coeurNous avons parlé de :"Sunk Cost Fallacy"Y CombinatorAlgoliaSync.soFounders Mode, Paul GrahamPalantirLes recommandations de lecture : The Culture Map, Erin MeyerVous pouvez contacter Nicolas sur LinkedIn ou sur X.La musique du générique vous plaît ? C'est à Morgan Prudhomme que je la dois ! Contactez-le sur : https://studio-module.com. Vous souhaitez sponsoriser Génération Do It Yourself ou nous proposer un partenariat ? Contactez mon label Orso Media via ce formulaire.

The CPGGUYS are joined in this episode by Gabriel Dillon,  bringing you the ongoing value proposition of contentful. He is the Principal, Strategic Alliance Manager, and is back at Contentful after a stint and ninetailed, bringing his expertise in personalization and testing to the world's largest composable content ecosystem. Before this, he led partnerships at Ninetailed. He also founded a Y Combinator-backed startup, successfully scaling it with top-tier venture capital. Gabriel was Algolia's first North American sales hire, and later, its first partner sales executive. Along the way, he built top-tier agency relationships at Contentful.This episode is sponsored by Contentful.Find Gabriel Dillon on Linkedin at: https://www.linkedin.com/in/gabrieldillon/Find Contentful on Linkedin at: https://www.linkedin.com/company/contentful/Find Contentful online at: https://www.contentful.com/Here's what we asked him :1. Give us the scoop on your career and how you anchored the last few years on content as a business model.2. Gabriel , what does the Ninetailed acquisition mean for Contentful? How does it improve the overall portfolio of Contentful?3. The single hottest word in content today and we saw it dominate Cannes Lions is AI - how do AI and content intersect?4. What about platforms - which platforms matter for content engagement and how do you provide services to drive it.5. Responsibility around content governance matters. How is AI challenging this very theory and how is Contentful thinking about governance and services around it?6. Content is more than production - ROI asks is the name of the game - how do you see a measurement framework around it - what about Contentful?7. Talk to us about content personalization at scale - is this even feasible and how does Contentful's platform enable it?8. Gabriel - what are key trends around this space we should advise brands to focus on? Why should brands and retailers connect with you to scale?For The path to purchase institute omni shopper awards sponsorship : email contact@cpgguys.com or click hereFor the Drug Store News issues summit HBC awards : email contact@cpgguys.com or click hereFor the Cornell Retail Media Strategy Executive Education program, click hereCPG Guys Website: http://CPGguys.comFMCG Guys Website: http://FMCGguys.comCPG Scoop Website: http://CPGscoop.comLara Raj on PopStar Academy: https://www.netflix.com/us/title/81587828?s=i&trkid=258593161&vlang=enDISCLAIMER: The content in this podcast episode is provided for general informational purposes only. By listening to our episode, you understand that no information contained in this episode should be construed as advice from CPGGUYS, LLC or the individual author, hosts, or guests, nor is it intended to be a substitute for research on any subject matter. Reference to any specific product or entity does not constitute an endorsement or recommendation by CPGGUYS, LLC. The views expressed by guests are their own and their appearance on the program does not imply an endorsement of them or any entity they represe CPGGUYS LLC expressly disclaims any and all liability or responsibility for any direct, indirect, incidental, special, consequential or other damages arising out of any individual's use of, reference to, or inability to use this podcast or the information we presented in this podcast.

Discover the unique strengths of ADHD in coding! Join us as we explore superpowers, challenges, and tips for thriving with ADHD. Comment and share your experiences! https://codingcat.dev/podcast/unlocking-your-adhd-superpowersSponsors:- Cloudinary ⁠https://cld.media/codingcatdev⁠- Algolia ⁠https://www.algolia.com/?utm_source=codingcatdev 00:00 Introduction 00:18 ADHD and Coding 05:08 Understanding ADHD 13:03 Diagnosing ADHD 20:28 ADHD Hyperfocus 29:07 Strategies for Success 37:45 Mental Health Insights 56:10 Different, Not Worse --- Support this podcast: https://podcasters.spotify.com/pod/show/codingcatdev/support

I chatted with Brian (aka bdougie) about Hacktoberfest, building OpenSauced, and making successful open-source projects. https://codingcat.dev/podcast/building-successful-open-source-projects Sponsors: - Cloudinary ⁠https://cld.media/codingcatdev⁠ - Algolia ⁠https://www.algolia.com/?utm_source=codingcatdev --- Support this podcast: https://podcasters.spotify.com/pod/show/codingcatdev/support

Join us as Sathiesh Veera shares his journey from engineering in India to a career in Java development, DevOps, and founding a tech startup. Don't miss out on his insights! https://codingcat.dev/podcast/infrastructure-driven-development Sponsors: - Cloudinary https://cld.media/codingcatdev - Algolia https://www.algolia.com/?utm_source=codingcatdev --- Support this podcast: https://podcasters.spotify.com/pod/show/codingcatdev/support

Jason Lemkin is one of the OG SaaS investors with all of his first five investments turning into unicorns with Pipedrive, Algolia, Talkdesk, Salesloft and RevenueCat all in his portfolio. SaaStr is the largest global community in SaaS and he has taught a generation the fundamentals of SaaS on saastr.com. In Our Second Episode of This Week in SaaS: 1. Wiz Rejects Google's $23BN Acquisition Offer: How does Jason analyse the price of the offer? $23BN for a $500M ARR business growing 120% YoY? What is the reasoning for Google in pursuing the acquisition? If Wiz had of proceeded in the process, what are the chances it would have made it through regulators? Why did Wiz walk away from the offer? If Jason were on the board, what would he have done? Is there a correlation between the downfall of Crowdstrike and Wiz turning down the offer? What does this mean for the M&A market moving forward? Will there be a secondary round now in place for Wiz at $23BN? 2. Crowdstrike: WTF Happens from Here: Did Crowdstrike manage the crisis in the right way? What would Jason have done differently? What is the bull case for Crowdstrike moving forward from this point? What are the bear case for the company? Could this snowball and be the end? What will this do to company requirements on having single point of failure solutions? Where will the market cap of Crowdstrike be at the end of 2024? 3. LegalTech: Show Me the Money: $1BN in a Single Day: Clio announced a $900M round at a $3BN valuation. How does Jason analyse this? What does Jason make of Harvey's $100M raise at a $1.5BN valuation? Why does Jason think 2025 will be the year for AI parity? Why will we see the majority of SaaS features be commoditised in 2025? What is the single biggest regret that Jason has in his investing career?

Join us as we dive into web development fundamentals with Corbin! Learn about his journey, from early education to teaching and contributing to TanStack. Perfect for both new and seasoned devs. Don't miss insights on frameworks, APIs, and more. Watch, comment, and share! https://codingcat.dev/podcast/webdev-fundamentals-or-react-angular-and-vue Sponsors: - Cloudinary https://cld.media/codingcatdev - Algolia https://www.algolia.com/?utm_source=codingcatdev 00:00 Introduction 00:18 Welcome Corbin 00:57 WebDev Fundamentals 01:28 College Years 02:20 Overcoming Challenges 03:50 Technical Projects 05:11 Early Interests 10:02 Working at Descript 11:45 AI in WebDev 13:00 Sponsor Break 14:56 Framework Guide 22:52 Learning Paths 37:13 Rebuilding Projects 48:02 Final Thoughts --- Support this podcast: https://podcasters.spotify.com/pod/show/codingcatdev/support

Hey, everyone! Join us on CodingCat.dev as Vincent shares his journey from electrical engineering to tech writing. It's a fun chat with plenty of laughs and insights into the tech world. Don't miss out and remember to share it with your friends! https://codingcat.dev/podcast/turning-documentation-into-a-product-best-practices-for-success Sponsors: - Cloudinary https://cld.media/codingcatdev - Algolia https://www.algolia.com/?utm_source=codingcatdev 00:00 Welcome 01:20 Correct Intro 03:20 Starting Conversation 06:50 Career Path 10:01 Into Tech 18:13 Docs as Product 28:33 Continuous Improvement 41:12 Future of Docs 43:52 Conclusion --- Support this podcast: https://podcasters.spotify.com/pod/show/codingcatdev/support

Welcome to Omni Talk's Retail Daily Minute, sponsored by Ownit AI and Mirakl. Ownit AI helps brands and retailers win Google search by answering their shopper's questions online. Learn more at ownit.co. Mirakl is the global leader in platform business innovation for eCommerce. Companies like Macy's, Nordstrom, and Kroger use Mirakl to build disruptive growth and profitability through marketplace, dropship, and retail media. For more, visit mirakl.comHere are today's top headlines:Retail sales experienced significant growth in May, marking the largest month-over-month increase in over a year, according to a joint CNBC and Retail Monitor report produced in partnership with the National Retail Federation (NRF). UPS' Roadie is set to expand its RoadieXD service, facilitating the swift delivery of large and bulky items, into new markets later this year. JD Sports, a global British athletic retailer, is enhancing its online search capabilities with AI technology from Algolia as part of a broader initiative to modernize its digital infrastructure. Stay informed with Omni Talk's Retail Daily Minute, your source for the latest and most important retail insights. Be careful out there!

Merci de me rejoindre encore cette semaine

Attention les oreilles cette semaine, épisode exceptionnel à venir avec Nicolas Dessaigne

Jason Lemkin is one of the OG SaaS investors with all of his first five investments turning into unicorns with Pipedrive, Algolia, Talkdesk, Salesloft and RevenueCat all in his portfolio. SaaStr is the largest global community in SaaS and he has taught a generation the fundamentals of SaaS on saastr.com. In Our First Ever Episode of This Week in SaaS 1. PluralSight Goes to Zero: WTF happened to PluralSight? How did it go from $3.5BN to $0? Will this have a wider impact on the willingness of PE to buy tech companies? Who are the next contenders to go from hero to zero? Zendesk? Anaplan? Will this generation of PE funds be let off by their LPs for a poor vintage? 2. Salesforce's Worst Stock Market Drop Since 2004 + Mongo Takes a 23% Hit: Why did Salesforce lose $50BN of market cap in a single day? Is the same true for MongoDB taking a 23% hit in one day? What does it mean when the new normal is these once hyper-growth companies now growing only 6% per annum? 3. The Settlers into Slow Growth: Why does Jason believe that Dropbox and Box have both settled into a world of slow growth? What happens to Twilio from here in a world post Jeff Lawson? What happens to Retool from this point on? Would Jason be a buyer of Notion at $10BN? 4. Venture Capital is Broken: Why does Jason believe that we need to see a relation of public multiples for the math in venture capital to work again? Why does Jason believe that the way we mark portfolios with TVPI leads to corrupt and bad behaviour? How does Jason think we will solve the problem of liquidity with IPOs being shut, M&A being out of the window and now PE being a doubt as the source of buyers?

Salut bienvenue

Jason Lemkin is one of the OG SaaS investors with all of his first five investments turning into unicorns with Pipedrive, Algolia, Talkdesk, Salesloft and RevenueCat all in his portfolio. SaaStr is the largest global community in SaaS and he has taught a generation the fundamentals of SaaS on saastr.com. In Today's Episode with Jason Lemkin We Discuss: 1. Growth Rates and Churn Rates: Average/Good/Great: What is a growth rate that would excite Jason in a SaaS company? What is average? What levels of churn would worry Jason to see? What would excite him to see? What does Jason never tolerate when it comes to either growth rate or retention? 2. What Founder Combination Always Wins: Why does Jason believe you cannot lose money on a CEO salesperson and a technical CTO founding partnership? Why does Jason always meet the CTO for a second meeting in the diligence process? What questions does he ask? What do the best CTOs do or say? Why does Jason always want to sell his shares when the founders want to sell? Why does Jason believe that a company is never the same when the founders leave? 3. WTF is Happening in the World of VC: Why does Jason believe that pricing is worse than it has ever been in venture? Why does Jason believe that traditional seed VC is systemically broken? Why are companies getting stuffed with more cash than ever before? What does Jason know now about dilution that he wishes he had known when he started? Why does Jason believe that you should always recycle everything? 4. WTF is Happening in PE and Later Stage Markets: What happens to all the overpriced acquisitions like Zendesk and Salesloft where private equity way overpaid for them, they have no growth and no product innovation? What happens to the generation of public companies like Box, Dropbox and Twilio, all with low growth and little product innovation in the single-digit market caps? Why does Jason believe that Klaviyo is the most undervalued public company today? What does Jason believe will happen to Anaplan with Pigment eating their lunch?

Jason Bosco is the founder of Typesense. Typesense is the Open Source alternative to Algolia. Typesense is a batteries-included Search API.We discuss how Jason built Typesense to be a hugely successful company without VC funding. We talk about what revenue-funding means and why it should be considered as a viable option for founders.This episode is sponsored by WorkOS. If you're thinking about selling to enterprise customers, WorkOS can help you add enterprise features like Single Sign On and audit logs.Links:- Jason's Twitter: https://twitter.com/jasonbosco- Typesense https://typesense.org/ 

Les frameworks c'est bien mais s'ils sont bien adaptés au contexte et à la maturité de l'entreprise.C'est le sujet du jour, puisque Pauline Lafontaine nous explique comment travailler le framework du Positioning développé par April Dunford dans son livre Obviously Awesome.Notamment pour qu'il soit pertinent aux entreprises Early Stage.April Dunford, rappelons-le, est la référence sur le sujet du positionnement et sales pitch dans le secteur de la tech B2B. Pauline a fait ses armes en Product Marketing chez Canal + et Algolia pour aujourd'hui accompagner les entreprises Tech, qu'elles soient Early-Stage ou mature sur les sujets PMM.Autant vous dire que le positionnement & sales enablement sont ses domaines d'expertise.Alors, dans cet échange, Pauline nous explique :

Écoutez l'extrait où Pauline, PMM freelance et Founder de PMM for Good nous explique pourquoi le framework de Positioning d'April Dunford développé dans son livre Obviously Awesome est le plus pertinent pour tout type de boite tech. Que ce soit pour des start-up Early-Stage ou des entreprises plus matures. April Dunford, rappelons-le, est la référence sur le sujet du positionnement et sales pitch dans le secteur de la tech B2B. Rendez-vous jeudi prochain pour la suite de l'épisode !N'oubliez pas de vous abonner pour ne pas louper sa sortie.

What is PLS? When does it make sense to use it? How do you get started?These are just a couple of the questions we asked Jesus who's been building PLG and PLS motions at Unity, Figma, Algolia and Hex.(00:00) - Introduction (00:57) - Meet Jesus (04:35) - PLG at Unity (05:45) - Solving a big problem (12:12) - Is this the right motion? (16:49) - Can you bring users to a pain state? (21:18) - If it was a demo (23:08) - It's about signals (30:31) - Looking towards revenue (33:14) - Qualification is the same (36:39) - Narrowing your focus (39:16) - Activating 10K accounts (42:59) - Indicators of scale (46:26) - Hard lessons *** This episode is brought to you by Growblocks. Finding and fixing problems in your GTM shouldn't take weeks. It should happen instantly.That's why Growblocks built the first RevOps platform that shows you your entire funnel, split by motions, segments and more - so you can find problems, the root-cause and identify solutions fast, all in the same platform.***Connect with us

In this episode, we have a conversation with Lala Asif Alana, Director of Technology SalesForce at Royal Cyber. Lala shares his 18-year evolution from a software engineer to a tech leader in a global enterprise, guiding us through the intricate distinctions between monolithic, headless, and composable systems. He also demystifies these concepts, highlighting the limitations of traditional monolithic systems, the API-driven agility of headless architecture, and the unparalleled scalability of composable commerce. In our conversation with Lala, we also delve into the cutting-edge migration strategies that Salesforce provides. We tackle the real-world challenges of custom features, caching strategies, and third-party integrations and explore how Lala and his team at Royal Cyber craft bespoke solutions and develop accelerators that integrate crucial tools like Page Designer and Einstein Search. Tune in to learn how to navigate the complexities of e-commerce architecture and stay ahead in the digital commerce game. Show Highlights: The shift in e-commerce from monolithic to headless and composable commerce architectures. Salesforce's migration strategy for customers from SiteGenesis to B2C Composable Commerce using the SLS cartridge. Challenges faced during migration, such as integrating custom features and managing caching and third-party services. Available accelerators by Royal Cyber for various third-party services like Contentful, Algolia, and ShipperHQ. Follow and Review: We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select “Ratings and Reviews” and “Write a Review” then a quick line with your favorite part of the episode. It only takes a second and it helps spread the word about the podcast. Supporting Resources: Join the Commerce Cloud Community: http://sforce.co/commercecrew *** Episode Credits If you like this podcast and are thinking of creating your own, consider talking to my producer, Emerald City Productions. They helped me grow and produce the podcast you are listening to right now. Find out more at https://emeraldcitypro.com. Let them know I sent you.  

Explain my like i am five: Die Grundlagen moderner SuchenWir, als User, erwarten heutzutage ziemlich viel von einer Suchmaschine. Es soll “magisch” verstehen, was wir eigentlich finden möchten. Egal ob wir das richtige Wort dafür nutzen (aka Synonym-Suche) oder ob der Begriff einen Tippfehler hat (aka “Meinten Sie …?”).Oft werden Tools wie Elastic- oder OpenSearch, Solr, Algolia und Co. für sowas eingesetzt, denn eine einfache Volltext-Suche mittels eines Wildcard-SQL-SELECT Statement reicht dafür nicht mehr aus. Doch was steckt eigentlich dahinter? Wie funktionieren all diese modernen Suchen eigentlich im Inneren? In dieser Episode geht es um die Grundlagen moderner Suchmaschinen. Wir schmeißen mit Begriffen wie Stemming, Homonyme, BERT, Stopwords, Inverted Index, Suffixbäume, N-Grams, Term Frequency-Inverse Document Frequency, Vector Space Model und Co um uns und erklären das ganze im “Explain me Like I am five”-Stil.Bonus: Wie Konzepte des Information Retrieval mit Bälle-Bädern erklärt werden.**** Diese Episode wird von der HANDELSBLATT MEDIA GROUP gesponsert.Wirtschaft ist nicht immer einfach. Deswegen lautet die Mission der HANDELSBLATT MEDIA GROUP: „Wir möchten Menschen befähigen, die Wirtschaft zu verstehen.“ Mit ihren Kernprodukten, dem Handelsblatt und der WirtschaftsWoche, sowie 160.000 Abonnements, 15 Millionen Besuchern und 3 Milliarden Anfragen in einem Monat leisten sie einen wichtigen Beitrag zur Orientierung und Meinungsbildung in den Bereichen Wirtschaft und Politik und machen damit einen ausgezeichneten Job.Wenn du Teil dieser Mission sein möchtest, schau auf https://engineeringkiosk.dev/handelsblatt vorbei und werde ein Teil der HANDELSBLATT MEDIA GROUP.********Das schnelle Feedback zur Episode:

In this episode of the Laravel Podcast, we talk about the recent announcement of hiring a new head of engineering at Laravel and the impact it will have on the future of Laravel. We also dive into the upcoming conferences and events, including Laracon EU, Laracon US, and Laracon India. Additionally, we talk about Typesense, a potential alternative to Meilisearch and Algolia for self-hosted search functionality.Taylor Otwell's Twitter - https://twitter.com/taylorotwellMatt Stauffer's Twitter - https://twitter.com/stauffermattLaravel Twitter - https://twitter.com/laravelphpLaravel Website - https://laravel.com/Tighten.co - https://tighten.com/VP/Head of Engineering at Laravel - https://frequent-pick-a8d.notion.site/VP-Head-of-Engineering-at-Laravel-149b566a670841f7a74b3e904e261693Laracon EU - https://laracon.eu/Laracon US - https://laracon.us/Laravel Herd - https://herd.laravel.com/Laravel 11 - https://laravel.com/docs/master/releasesLaravel Live Denmark -https://laravellive.dk/Laravel Live UK - https://laravellive.uk/Laracon India - https://laracon.in/Caleb Porzio Twitter - https://twitter.com/calebporzioLivewire: https://laravel-livewire.com/ThePrimeagen Twitter - https://twitter.com/ThePrimeagenThe Factory - https://www.thefactoryindeepellum.com/Eric Barnes Twitter - https://twitter.com/ericlbarnesJoe Dixon Twitter - https://twitter.com/_joedixonJames Brooks - https://twitter.com/jbrooksukFreek VAn der Herten Twitter - https://twitter.com/freekmurze?lang=enPeter Suhm Twitter - https://twitter.com/petersuhmMichele Hansen Twitter - https://twitter.com/mjwhansenLaracon AU Twitter - https://twitter.com/LaraconAULaravel Scout - https://laravel.com/docs/10.x/scoutTypesense - https://typesense.org/Algolia -https://algolia.com/Meilisearch - https://www.meilisearch.com/Elasticsearch - https://www.elastic.co/elasticsearchLaravel Sail - https://laravel.com/docs/10.x/sailLaravel Vapor - https://vapor.laravel.com/Early Vapor Tweet - https://x.com/taylorotwell/status/1748782542663131442?s=20Tailwind CSS - https://tailwindcss.com/-----Editing and transcription sponsored by Tighten.

Algolia, the world's only end-to-end AI SEarch and Discovery platform, powering over 1.75 trillion search requests a year, has made some exciting announcements hear at the NRF show. Today we're going to talk about two of these announcements, and how AI-powered search and discovery to build dynamic, customer-centric e-commerce experiences. To help me discuss this topic, I'd like to welcome Bernadette Nixon, CEO of Algolia. Resources PartnerHero: to waive set up fees, go to https://partnerhero.com/agile and mention “The Agile Brand” during onboarding! Algolia website: https://www.algolia.com Sign up for The Agile Brand newsletter here: https://www.gregkihlstrom.com Get the latest news and updates on LinkedIn here: https://www.linkedin.com/company/the-agile-brand/ For consulting on marketing technology, customer experience, and more visit GK5A: https://www.gk5a.com Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

Today on the show we have Jim Schattin, the Chief Customer Officer at Algolia.In this episode, Jim shares his unique experiences in shaping customer success strategies in different technological environments. We dive deep into the contrast between cloud-based and on-premise solutions, examining how customer engagement and success practices vary across these platforms.We then discussed the evolution of customer success from his time at Alteryx, focusing on the challenges and rewards of managing on-premise solutions. We wrapped up by discussing his current role at Algolia, shedding light on how customer success is managed in a cloud-centric organization.Mentioned Resources:AlteryxAlgolia

Algolia is a platform that provides search as a service. The company was founded in 2012, was part of Y Combinator's Winter 2014 class, and has become highly popular for integrating modern search functionality into web-facing services. Sean Mullaney is the CTO of Algolia and has worked at Google X, Stripe, and Zolando. He joins The post Algolia with Sean Mullaney appeared first on Software Engineering Daily.

From a technology-standpoint, MACH is fantastic. However, the commercial-side of MACH can be cumbersome. Live from MACH Haus in New York, Kelly and Piyush Patel (Chief Strategic Business Development Officer of Algolia) go deep on the various industry initiatives to simplify the commercial-side of MACH. We discuss white labeling, BPO, cloud marketplaces, what the MACH Alliance has/can do, and more. 00:35 Welcome to NRF 2024, MACH Haus 02:17 What is NRF? 03:03 How does NRF differ from Shoptalk? 03:50 More about Algolia 04:55 Why the market is adopting MACH 10:03 Making the commercial side of MACH easier 11:45 Vendors and organizational boundaries within an enterprise - tech, business, finance, procurement, legal, etc 12:30 Defining Terms: SI/GSI, ISV, Order Form, MSA, DPA, NDA, SLA 16:00 Straight up purchase: What is it, how it works, when it makes sense, drawbacks 17:35 How do accelerators work? 19:25 AWS & GCP present/sponsoring at MACH Haus. Discussing their marketplaces 21:40 MACH Alliance and streamlining the commercial & legal side 24:25 What can individual vendors do to simplify resell 25:53 ISVs embedding other ISVs 26:31 Vendor consolidation 28:24 Let's say you're a retailer and you use an SI. Does that make it easier? BPO 31:35 What's the hope for the future? 34:50 Kelly's challenge to the MACH Alliance

Bienvenue dans ce nouveau teaser de tech 45' Tu me découvres ? Je suis Seb COUASNON, ancien journaliste (Tech&Co, BFM de 2015 à 2021), on se retrouve chaque semaine. L'histoire est TRÈS belle aujourd'hui, on va apprendre à mieux connaître Dataiku, licorne franco-américaine créée en 2013 et qui valait 3,7 mds de dollars lors de son dernier tour de table fin 2022. Dans cet extrait, Florian t'explique pourquoi au bout de 3 ans, comme Algolia ou Datadog il a dû « fliper », c'est-à-dire déplacer son siège aux Etats-Unis (Paris → NYC). Tu aimes tech 45' et bien dis-le moi en me laissant un p'tit avis et en me mettant plein d'étoiles sur ta plateforme d'écoute ! Le mercredi, je diffuse le teaser, et le vendredi qui suit ton épisode en entier, abonne-toi pour ne pas le rater. D'avance merci !!!

Today we're talking to Creative Tech Marketer & Consultant, Michael Klein. We discuss the origins and evolutions of conversational commerce, how it's transforming the way we interact with the market, and why authenticity matters more in today's commerce climate than ever before. All of this right here, right now, on the Modern CTO Podcast!  To learn more about Michael's upcoming fireside chat with Algolia, visit this page. For more on the latest conversational commerce trends, visit this page. For more about Klein4Retail, check out Michael's website here. To learn more about Algolia, check out their website here. Have feedback about the show? Let us know here. Produced by ProSeries Media. For booking inquiries, email booking@proseriesmedia.com

People want an online experience where they can easily find what they're looking for. Algolia provides the AI search tools to help businesses make their content or products more searchable. In fact, if Algolia was a public company, it would be the second-largest search engine in the world behind Google. Sean Mullaney is chief technology officer at Algolia and joins Gene Marks on Paychex THRIVE, a Business Podcast, to share what the company is all about and how they are integrating AI in their efforts to help businesses build better digital experiences for customers. Topics Include: 00:00 – Welcome, Sean Mullaney 00:42 – Introduction to Sean Mullaney 01:29 – What does Algolia do? 03:36 – How e-commerce benefits from Algolia's efforts 05:45 – AI and its use in enhancing searchability 10:11 – Bringing personal assistant-type experience to the web 13:50 – Leveraging technology, staying nimble can benefit small businesses 14:49 – Wrap-up DISCLAIMER: The information presented in this podcast, and that is further provided by the presenter, should not be considered legal or accounting advice, and should not substitute for legal, accounting, or other professional advice in which the facts and circumstances may warrant. We encourage you to consult legal counsel as it pertains to your own unique situation(s) and/or with any specific legal questions you may have.

Bernadette Nixon, CEO of Algolia, shares 2023 SEO predictions. As we look ahead to developments in 2023, it is clear that advances in AI will continue to shape the SEO landscape. Companies that fail to become AI-powered risk getting left behind, as the race for better and more efficient search capabilities heats up. Today, Bernadette discusses 2023 SEO retail predictions. Show NotesConnect With: Bernadette Nixon: Website // LinkedInThe Voices of Search Podcast: Email // LinkedIn // TwitterBenjamin Shapiro: Website // LinkedIn // TwitterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Bernadette Nixon, CEO of Algolia, examines the transformation of semantic search through AI. As technology advances, so too does the way we search for information. Semantic search is the next step in this evolution, utilizing AI to understand the intent behind a user's query and deliver more accurate and relevant results. Today, Bernadette discusses the evolution of semantic search. Show NotesConnect With: Bernadette Nixon: Website // LinkedInThe Voices of Search Podcast: Email // LinkedIn // TwitterBenjamin Shapiro: Website // LinkedIn // TwitterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

We continue our conversation with Algolia's CTO, Sean Mullaney. In this editorial conversation, Keith and Sean discuss the difference between developing code and AI models. The duo also discusses the drivers for multi-cloud and overcoming the challenges associated with cost and engineering resources.

Today we're going to talk about enhancing E-commerce with AI by improving personalization, relevance, and the overall customer experience. To help me discuss this topic, I'd like to welcome Sean Mullaney, a former Stripe and Google Executive, who is now Chief Technology Officer at Algolia, which you may or may not know is actually the second largest search engine behind Google, powering more than 1.75 trillion consumer search requests each year. RESOURCES PartnerHero: to waive set up fees, go to https://partnerhero.com/agile and mention “The Agile Brand” during onboarding! Algolia website: https://www.algolia.com Sign up for The Agile Brand newsletter here: https://www.gregkihlstrom.com Get the latest news and updates on LinkedIn here: https://www.linkedin.com/company/the-agile-brand/ For consulting on marketing technology, customer experience, and more visit GK5A: https://www.gk5a.com Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

Steve Pretre, partner at World Innovation Lab (WiL), takes us on an extraordinary journey from his upbringing in Silicon Valley to becoming a key player in the insurtech and venture capital worlds. He shares the thrilling journey of starting Metromile and leading it through the IPO stage, highlighting some of the biggest challenges of starting an insurtech startup. Steve also dispels the skepticism about corporate venture capital firms (CVCs).In this episode, you'll learn:[3:47] Discover invaluable lessons from the pioneers of the insurtech industry[7:40] The story of Metromile: “I was excited and naive enough to think that we could pull that off.” - Steve Pretre[15:43] Early-stage investing isn't just about funds but also about providing strategic support to startups[22:40] Insights into corporate venture capital and why alignment of goals is paramount[27:18] The importance of staying true to your business vision and not blindly following VC adviceThe non-profit organization that Steve is passionate about: Woodside WildebeestsAbout Steve PretreSteve Pretre is a partner at World Innovation Lab. He is a veteran of multiple successful startups and has deep operating experience across product development, marketing, and strategic planning. Prior to joining World Innovation Lab, Steve was the co-founder and CEO of Metromile, an early innovator that paved the path for the current wave of insurance startups. He also held executive roles at Asurion, leading their mobile applications business unit as the company grew.About World Innovation LabWorld Innovation Lab is a venture capital fund supported by various governments and global corporations. WiL invests in companies looking to expand into new markets. They assist US startups in entering Japan and Asia and support Japanese startups in global expansion. Notable recent direct investments include Algolia, Asana, Automation Anywhere, Auth0, DataRobot, Kong, Mercari, MURAL, TransferWise, and Unqork. WiL also supports established and emerging venture funds. Additionally, they collaborate with corporate investors to enhance innovation through new business creation, startup partnerships, and cultural change. WiL acts as a bridge between startups and corporations in key innovation hubs globally, initially focusing on Japan and the US. Subscribe to our podcast and stay tuned for our next episode.

In this jam-packed episode, we dive deep into the world of app development, exploring the essential choices and tools that shape a successful project from start to finish. Join us as we share our preferred tech stacks for launching a brand new app, discuss the intricacies of hosting and deploying Laravel applications, and explore the myriad of options available.Whether you're a seasoned developer or just embarking on your coding journey, consider this episode your roadmap to cultivating a robust and efficient app development process. Taylor Otwell's Twitter - https://twitter.com/taylorotwell Matt Stauffer's Twitter - https://twitter.com/stauffermatt Laravel Twitter - https://twitter.com/laravelphp Laravel Website - https://laravel.com/ Tighten.co - https://tighten.com/ Laracon AU - https://laracon.au/ Forge - https://forge.laravel.com/ Livewire: https://laravel-livewire.com/ Inertia - https://inertiajs.com/ Tailwind: https://tailwindcss.com/ Blade - https://laravel.com/docs/10.x/blade Breeze - https://laravel.com/docs/10.x/starter-kits#laravel-breezeJetstream: Herd: https://herd.laravel.com/ Valet: https://laravel.com/docs/10.x/valet Docker: https://www.docker.com DBngin: https://dbngin.com/ Homebrew: https://brew.sh/ Takeout: https://github.com/tighten/takeout VS code: https://code.visualstudio.com/ PHPstorm: https://www.jetbrains.com/phpstorm/ Sublime Text: https://www.sublimetext.com/ Sarah Drasner Nightowl Theme: https://vscodethemes.com/e/sdras.night-owl/night-owl Bugsnag: https://www.bugsnag.com/ Sentry: https://sentry.io/for/php/ Pusher: https://pusher.com/docs/beams/reference/server-sdk-php/ Envoyer - https://envoyer.io/ Vapor - https://vapor.laravel.com/ Postmark: https://postmarkapp.com/send-email/php Github actions: https://github.com/features/actions Honeybadger: https://docs.honeybadger.io/lib/php/ Flare: https://flareapp.io/ Chipper CI: https://chipperci.com/ Algolia: https://www.algolia.com/ Oh Dear: https://ohdear.app/ Telescope: https://laravel.com/docs/10.x/telescope Horizon: https://laravel.com/docs/10.x/horizon Papertrail: https://www.papertrail.com -----Editing and transcription sponsored by Tighten.

Jack Altman is the Founder and CEO @ Lattice, the #1 people management platform, last valued at $3BN. Jack is an investor through his founding of Jack Altman Capital where he has invested in WorkOS, NexHealth, Owner.com, Mercury and more. Auren Hoffman is the Founder and CEO @ Safegraph, the most accurate database of global points of interest, last valued at $550M. Auren is an investor through his founding of Flex Capital where he has invested in Chime, Checkr, Coinbase, Flexport, Vercel and more. Jason Lemkin is the Founder and CEO @ SaaStr, the world's largest SaaS community. Jason is an investor through his founding of The SaaStr Fund. In the past, Jason has invested in Pipedrive, Algolia, Salesloft, Front, GreenHouse, Owner.com, Gorgias and more. In Today's Episode on Founder-Led Funds We Discuss: Why have we seen the rise of "Founder-led Funds"? Are founder-led funds more empathetic to the founders they invest in? How do founder-led funds source and pick investments in a way that traditional VC does not? Will we see founder-led Funds truly compete against the Sequoias of the world? How does being an operator make you a better investor? How does investing help you be a better founder and operator? How do you communicate your investing practice and firm to your company and team? What are the biggest excitements and concerns LPs have for Founder-led Funds? Will we see the face of venture changing much more broadly and structurally? How do founder-led funds manage both time and company conflicts?

Deven Parekh is a Managing Director at Insight Partners, one of the leading investing franchises of the last 25 years. Deven has made more than 90 investments since joining in 2000 including in the likes of Twitter, Alibaba, JD.com, Chargebee and Automattic (WordPress) to name a few.   Woody Marshall is a General Partner @ TCV, one of the most successful growth funds of the last decade with a portfolio including the likes of Facebook, AirBnB, Spotify, LinkedIn and many more incredible companies. Jason Lemkin is the Founder @ SaaStr one of the best-performing early-stage venture funds focused on SaaS. In the past, Jason has led investments in Algolia, Pipedrive, Salesloft, TalkDesk, and RevenueCat to name a few.  In Today's Episode We Discuss: 1. The Growth Landscape Overview: Is growth dead? Are any growth deals getting done? How has the price changed for growth deals that are getting done? Which type of growth companies will vs will not be able to raise? What happens to all of the growth companies with $300-$500M in cash but little revenue? 2. The Great Reset: Valuations Need to Change: Why should companies be actively resetting their valuations? What are the benefits? What will happen between VCs and LPs when there is no incentive for VCs to reset their portfolio valuations when they need to go out and raise from those same LPs? Structure is often part of these valuation resets, is structure to rounds always bad? When is it good? What type of structure is acceptable vs unacceptable? 3. Are the Public Markets Creeping Open: Should we take comfort from ARM, Instacart and Klaviyo and assume the public markets are going to open again? If not, what will cause them to open? How should we analyze the performance of the IPOs above? Many have been negative, are they right to suggest this is not the response we wanted? Why does Woody believe, like Instacart taking a 75% discount to their last round, we should have more and more companies go public at discounts to their last private round? 4. Late Stage Growth is Dead and Revenue Multiples: Why is late-stage growth dead? How long do we think this will last? How should we assess revenue multiples today? New normal? Same as always? How will revenue multiples look in 12 months from now? How should we analyse the large late stage growth rounds for hyped AI companies? What happens there?

Summary The rapid growth of machine learning, especially large language models, have led to a commensurate growth in the need to store and compare vectors. In this episode Louis Brandy discusses the applications for vector search capabilities both in and outside of AI, as well as the challenges of maintaining real-time indexes of vector data. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. You specify the customer traits, then Profiles runs the joins and computations for you to create complete customer profiles. Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack (https://www.dataengineeringpodcast.com/rudderstack) This episode is brought to you by Datafold – a testing automation platform for data engineers that finds data quality issues before the code and data are deployed to production. Datafold leverages data-diffing to compare production and development environments and column-level lineage to show you the exact impact of every code change on data, metrics, and BI tools, keeping your team productive and stakeholders happy. Datafold integrates with dbt, the modern data stack, and seamlessly plugs in your data CI for team-wide and automated testing. If you are migrating to a modern data stack, Datafold can also help you automate data and code validation to speed up the migration. Learn more about Datafold by visiting dataengineeringpodcast.com/datafold (https://www.dataengineeringpodcast.com/datafold) You shouldn't have to throw away the database to build with fast-changing data. You should be able to keep the familiarity of SQL and the proven architecture of cloud warehouses, but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date. With Materialize, you can! It's the only true SQL streaming database built from the ground up to meet the needs of modern data products. Whether it's real-time dashboarding and analytics, personalization and segmentation or automation and alerting, Materialize gives you the ability to work with fresh, correct, and scalable results — all in a familiar SQL interface. Go to dataengineeringpodcast.com/materialize (https://www.dataengineeringpodcast.com/materialize) today to get 2 weeks free! If you're a data person, you probably have to jump between different tools to run queries, build visualizations, write Python, and send around a lot of spreadsheets and CSV files. Hex brings everything together. Its powerful notebook UI lets you analyze data in SQL, Python, or no-code, in any combination, and work together with live multiplayer and version control. And now, Hex's magical AI tools can generate queries and code, create visualizations, and even kickstart a whole analysis for you – all from natural language prompts. It's like having an analytics co-pilot built right into where you're already doing your work. Then, when you're ready to share, you can use Hex's drag-and-drop app builder to configure beautiful reports or dashboards that anyone can use. Join the hundreds of data teams like Notion, AllTrails, Loom, Mixpanel and Algolia using Hex every day to make their work more impactful. Sign up today at dataengineeringpodcast.com/hex (https://www.dataengineeringpodcast.com/hex) to get a 30-day free trial of the Hex Team plan! Your host is Tobias Macey and today I'm interviewing Louis Brandy about building vector indexes in real-time for analytics and AI applications Interview Introduction How did you get involved in the area of data management? Can you describe what vector search is and how it differs from other search technologies? What are the technical challenges related to providing vector search? What are the applications for vector search that merit the added complexity? Vector databases have been gaining a lot of attention recently with the proliferation of LLM applications. Is a dedicated database technology required to support vector indexes/vector search queries? What are the use cases for native vector data types that are separate from AI? With the increasing usage of vectors for data and AI/ML applications, who do you typically see as the owner of that problem space? (e.g. data engineers, ML engineers, data scientists, etc.) For teams who are investing in vector search, what are the architectural considerations that they need to be aware of? How does it impact the data pipeline strategies/topologies used? What are the complexities that need to be addressed when updating vector data in a real-time/streaming fashion? How does that influence the client strategies that are querying that data? What are the most interesting, innovative, or unexpected ways that you have seen vector search used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on vector search applications? When is vector search the wrong choice? What do you see as future potential applications for vector indexes/vector search? Contact Info LinkedIn (https://www.linkedin.com/in/lbrandy/) Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. To help other people find the show please leave a review on Apple Podcasts (https://podcasts.apple.com/us/podcast/data-engineering-podcast/id1193040557) and tell your friends and co-workers Links Rockset (https://rockset.com/) Podcast Episode (https://www.dataengineeringpodcast.com/rockset-serverless-analytics-episode-101/) Vector Index (https://www.datastax.com/guides/what-is-a-vector-index) Vector Search (https://www.datastax.com/guides/what-is-vector-search) Rockset Implementation Explanation (https://rockset.com/videos/vector-search-architecture/) Vector Space (https://en.wikipedia.org/wiki/Vector_space) Euclidean Distance (https://en.wikipedia.org/wiki/Euclidean_distance) OLAP == Online Analytical Processing (https://en.wikipedia.org/wiki/Online_analytical_processing) OLTP == Online Transaction Processing (https://en.wikipedia.org/wiki/Online_transaction_processing) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

Eric Paley is the Managing Partner at Founder Collective, one of the world's most successful seed funds with investments in the likes of Uber, The Trade Desk, Coupang and Airtable. Mike Maples is one of the OGs of seed investing. As the Co-Founder of Floodgate, he has backed the likes of Twitch, Okta, Lyft, Twitter and more. Jason Lemkin is the Founder @ SaaStr one of the best-performing early-stage venture funds with a portfolio including Algolia, Pipedrive, Salesloft, TalkDesk, and RevenueCat to name a few. In Today's Episode on Is the Venture Model Broken? : Is the classic seed model dead? Can seed funds play in a world of $25M valuations? Why is having a firm grasp of the present the best thing an early-stage investor can have? Why does Mike Maples believe no company with true product-market-fit has ever failed? Why does Eric Paley believe "go faster" is the worst startup advice? Why does Mike Maples believe there is a direct relationship between price and risk? Why does Mike Maples believe that outliers by their very nature are lower priced? Why does Eric Paley not focus on ownership? Why can it be dangerous? What are the biggest risks for founders raising at valuations that are too high? Why does Eric Paley believe we will have the biggest chasm between TVPI and DPI in the prior vintage of venture capital returns? Why does Eric believe the majority of SPACs were BS and great companies can always go public? Why does Jason believe that if multiples do not reflate, the venture model is broken? Why does Jason believe we will see the biggest hiring spree in tech next year? How has illiquidity allowed Eric Paley to make some of the best investment decisions? What is Mike Maples biggest lesson from selling Twitter stock early at $1BN?

Summary A significant amount of time in data engineering is dedicated to building connections and semantic meaning around pieces of information. Linked data technologies provide a means of tightly coupling metadata with raw information. In this episode Brian Platz explains how JSON-LD can be used as a shared representation of linked data for building semantic data products. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is brought to you by Datafold – a testing automation platform for data engineers that finds data quality issues before the code and data are deployed to production. Datafold leverages data-diffing to compare production and development environments and column-level lineage to show you the exact impact of every code change on data, metrics, and BI tools, keeping your team productive and stakeholders happy. Datafold integrates with dbt, the modern data stack, and seamlessly plugs in your data CI for team-wide and automated testing. If you are migrating to a modern data stack, Datafold can also help you automate data and code validation to speed up the migration. Learn more about Datafold by visiting dataengineeringpodcast.com/datafold (https://www.dataengineeringpodcast.com/datafold) Introducing RudderStack Profiles. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. You specify the customer traits, then Profiles runs the joins and computations for you to create complete customer profiles. Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack (https://www.dataengineeringpodcast.com/rudderstack) You shouldn't have to throw away the database to build with fast-changing data. You should be able to keep the familiarity of SQL and the proven architecture of cloud warehouses, but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date. With Materialize, you can! It's the only true SQL streaming database built from the ground up to meet the needs of modern data products. Whether it's real-time dashboarding and analytics, personalization and segmentation or automation and alerting, Materialize gives you the ability to work with fresh, correct, and scalable results — all in a familiar SQL interface. Go to dataengineeringpodcast.com/materialize (https://www.dataengineeringpodcast.com/materialize) today to get 2 weeks free! If you're a data person, you probably have to jump between different tools to run queries, build visualizations, write Python, and send around a lot of spreadsheets and CSV files. Hex brings everything together. Its powerful notebook UI lets you analyze data in SQL, Python, or no-code, in any combination, and work together with live multiplayer and version control. And now, Hex's magical AI tools can generate queries and code, create visualizations, and even kickstart a whole analysis for you – all from natural language prompts. It's like having an analytics co-pilot built right into where you're already doing your work. Then, when you're ready to share, you can use Hex's drag-and-drop app builder to configure beautiful reports or dashboards that anyone can use. Join the hundreds of data teams like Notion, AllTrails, Loom, Mixpanel and Algolia using Hex every day to make their work more impactful. Sign up today at dataengineeringpodcast.com/hex (https://www.dataengineeringpodcast.com/hex) to get a 30-day free trial of the Hex Team plan! Your host is Tobias Macey and today I'm interviewing Brian Platz about using JSON-LD for building linked-data products Interview Introduction How did you get involved in the area of data management? Can you describe what the term "linked data product" means and some examples of when you might build one? What is the overlap between knowledge graphs and "linked data products"? What is JSON-LD? What are the domains in which it is typically used? How does it assist in developing linked data products? what are the characteristics that distinguish a knowledge graph from What are the layers/stages of applications and data that can/should incorporate JSON-LD as the representation for records and events? What is the level of native support/compatibiliity that you see for JSON-LD in data systems? What are the modeling exercises that are necessary to ensure useful and appropriate linkages of different records within and between products and organizations? Can you describe the workflow for building autonomous linkages across data assets that are modelled as JSON-LD? What are the most interesting, innovative, or unexpected ways that you have seen JSON-LD used for data workflows? What are the most interesting, unexpected, or challenging lessons that you have learned while working on linked data products? When is JSON-LD the wrong choice? What are the future directions that you would like to see for JSON-LD and linked data in the data ecosystem? Contact Info LinkedIn (https://www.linkedin.com/in/brianplatz/) Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. To help other people find the show please leave a review on Apple Podcasts (https://podcasts.apple.com/us/podcast/data-engineering-podcast/id1193040557) and tell your friends and co-workers Links Fluree (https://flur.ee/) JSON-LD (https://json-ld.org/) Knowledge Graph (https://en.wikipedia.org/wiki/Knowledge_graph) Adjacency List (https://en.wikipedia.org/wiki/Adjacency_list) RDF == Resource Description Framework (https://www.w3.org/RDF/) Semantic Web (https://en.wikipedia.org/wiki/Semantic_Web) Open Graph (https://ogp.me/) Schema.org (https://schema.org/) RDF Triple (https://en.wikipedia.org/wiki/Semantic_triple) IDMP == Identification of Medicinal Products (https://www.fda.gov/industry/fda-data-standards-advisory-board/identification-medicinal-products-idmp) FIBO == Financial Industry Business Ontology (https://spec.edmcouncil.org/fibo/) OWL Standard (https://www.w3.org/OWL/) NP-Hard (https://en.wikipedia.org/wiki/NP-hardness) Forward-Chaining Rules (https://en.wikipedia.org/wiki/Forward_chaining) SHACL == Shapes Constraint Language) (https://www.w3.org/TR/shacl/) Zero Knowledge Cryptography (https://en.wikipedia.org/wiki/Zero-knowledge_proof) Turtle Serialization (https://www.w3.org/TR/turtle/) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

Jason Lemkin is the Founder @ SaaStr one of the best-performing early-stage venture funds focused on SaaS. In the past, Jason has led investments in Algolia, Pipedrive, Salesloft, TalkDesk, and RevenueCat to name a few. Prior to SaaStr, Jason was an entrepreneur, selling EchoSign to Adobe for $100M where it is now a $250M ARR product. Rick Zullo is the Co-Founder and General Partner at Equal Ventures. Prior to co-founding Equal Ventures, Rick was an investor at Lightbank, Prior to Lightbank, Rick worked with investment firms Foundation Capital, Bowery Capital, and Lightview Capital. In Today's Episode We Discuss: 1. Why Venture Capital Needs It's Jerry Maguire Moment: Why does Rick believe that VC needs it's "Jerry Maguire" moment? What needs to change? What needs to stay the same? Why does Jason believe we will see even more mega funds in 2024 and 2025? 2. Unicorns are So 2019: Why does Jason believe that "unicorn investing is mostly dead for bigger funds and none of them are looking for a $1BN outcome anymore?" Why does Rick believe that multi-stage fund investing at seed simply does not make sense? What does Rick believe many founders need to know when they take multi-stage money at seed? Of the over 1,000 unicorns created over the last few years, how many of them do Rick and Jason feel are actually unicorns today? 3. Efficiency and Growth: We Need it All: Why does Jason believe, as a founder you should be embarrassed if you ever had a RIF (reduction in force)? Last year many founders got a pass on growth as they were more efficient. Is that pass over? Do they need to get back to growth? What is the single biggest reason that companies do not scale from seed to Series A? What happens to the many companies with years of runway but no product-market-fit? Are we entering a new age of efficient company building or will we go back to high burn environments and excessive spending? 4. Entering the World of LPs: If Jason and Rick were to advise LPs today on how much to discount the value of their venture books, what advice would they give? How have markups completely corrupted the venture ecosystem? How does LPs being incentivized by paper-marks make the industry even more screwed? What are the single biggest misalignments between GP and LP?

Sam Lessin is a Co-Founder and Partner @ Slow Ventures with a portfolio including the likes of Airtable, Robinhood, Slack, Solana, PillPack and many more unicorn companies. Prior to Slow, Sam was a VP Product at Facebook having sold his company to Meta. Frank Rotman is a founding partner of QED Investors, one of the leading fintech-focused venture firms investing today with a portfolio including the likes of Klarna, Kavak, Quinto Andar, Credit Karma and more. As for Frank, prior to QED, Frank was one of the earliest analysts hired into Capital One and spent almost 13 years there helping build many of the company's business units and operational areas.  Jason Lemkin is the Founder @ SaaStr one of the best-performing early-stage venture funds focused on SaaS. In the past, Jason has led investments in Algolia, Pipedrive, Salesloft, TalkDesk, and RevenueCat to name a few. Prior to SaaStr, Jason was an entrepreneur, selling EchoSign to Adobe for $100M where it is now a $250M ARR product. In Today's Discussion on Why Seed is Broken We Discuss: 1. The Seed Model Was Broken and What Comes Now: Why does Sam Lessin believe the model for seed of a "factory line" was broken? What does he believe will replace it? Why does Jason Lemkin argue that this might not be the case for SaaS and enterprise? 2. Round Construction: YC, Multi-Stage Funds and Party Rounds: Why does Sam Lessin believe we have seen the end of party rounds? Why does Jason Lemkin disagree and we will see more than ever? Why does Sam Lessin believe the factory model of YC churning out companies is over? Where does Jason Lemkin believe the value lies in the YC model? Will the multi-stage funds remain in seed? How has their entrance and deployment changed the seed market? 3. VC Value Add at Seed: Is it BS? Why does Jason believe all talent arms in venture firms have failed? Why does Sam believe that no VCs provide value? Do the best founders really need help? Why do Jason and Sam disagree? 4. What Happens Now: Why does Jason believe that every manager can write off their fund from 2021? Who will be the winners in seed in the next 10 years? Why does Sam believe if you want to bet on AI, just bet on Meta or Microsoft? What will happen to the many companies with no PMF but 10 years of runway?

Jason Lemkin is the Founder @ SaaStr one of the best-performing early-stage venture funds focused on SaaS. In the past, Jason has led investments in Algolia, Pipedrive, Salesloft, TalkDesk, and RevenueCat to name a few. Prior to SaaStr, Jason was an entrepreneur, selling EchoSign to Adobe for $100M where it is now a $250M ARR product. In Today's Episode with Jason Lemkin We Discuss: 1. WTF is Happening At Seed Right Now: Why does Jason believe seed is more active than ever? Is the pricing of seed rounds impacted since the downturn? Why does Jason believe it is not only not the end of party rounds but just the beginning of them? Why does Jason believe you cannot fail if you have $1M in ARR and an amazing founder? Why does Jason believe that seed investors cannot participate in "hot seed rounds" anymore? 2. Is Series A a Dead Zone: How does Jason analyze the Series A and B environment today? What has changed in what investors expect and want to see in potential Series A and B investments? What happens to the many companies who raised pre-emptive Series As and have 10 years of runway but no product-market fit? Why does Jason believe founders should offer to give the money back when it is not working? What happens to the Series A and B market in the next 18 months? When does it come back? 3. Growth: People are Too Negative! Why does Jason believe that growth is more active than many are giving credit for? What are the ARR benchmarks required to get a good growth round term sheet today? Why does Jason believe that VC DD is a load of BS? Why does Jason believe that every VC has fraud in their portfolio? Will they come out? 4. Ring That Bell: IPOs and M&A: Why does Jason believe 2024 will be an amazing year for IPOs? Why does much of the IPO market rely on Stripe and Databricks? What is needed for an amazing 2024 IPO market? How does Jason evaluate the M&A market in 2024? Will regulation get in the way? 5. Jason Lemkin: AMA: Why does Jason Lemkin believe this generation of workers will never work hard again? What is the only way for seed funds to make money investing in serial entrepreneurs? What does Jason know now that he wishes he had known when he started investing?