Podcasts about Notion

В этом выпуске у меня в гостях Маша Червякова - преподаватель английского языка с 15-летним опытом, которая взяла на себя полный цикл поиска работы в США для своего мужа, старшего разработчика с 15-летним опытом в IT.Мы поговорили о том, как семья переехала из Аргентины в Северную Каролину по гринкарте и почему поиск работы решили превратить в отдельный проект с четким разделением ролей.Разобрали, как Маша выстроила систему откликов, вела переписку от лица мужа, кастомизировала резюме и cover letter под конкретные вакансии, использовала LinkedIn Premium, Notion, нетворкинг и рефералы, а также скрывала отказы, чтобы снизить стресс и сохранить уверенность на собеседованиях. Отдельно обсудили, почему сработали точечные отклики вместо массовой рассылки, как выглядела воронка поиска - от 80 заявок до двух оферов за три месяца - и на что смотреть при выборе между офисной и удаленной работой в США.Маша Червякова - преподаватель английского языка с 15-летним опытом. Ее муж - Сергей Червяков, Senior Software Engineer с 15-летним опытом в IT. Переехали из Аргентины в Северную Каролину по гринкарте в конце 2024 года.LinkedIn: https://www.linkedin.com/in/wormer/Telegram: https://t.me/assistantUSAjobsearch***Записаться на карьерную консультацию (резюме, LinkedIn, карьерная стратегия, поиск работы в США):https://annanaumova.comКоучинг (синдром самозванца, прокрастинация, неуверенность в себе, страхи, лень):https://annanaumova.notion.site/3f6ea5ce89694c93afb1156df3c903abТелеграм: https://t.me/prodcastUSAИнстаграм: https://www.instagram.com/prodcast.usТикТок: https://www.tiktok.com/@us.job⏰ Timecodes ⏰00:00 Начало04:02 Хронология переездов (Россия - Аргентина - США).07:21 Почему важно найти оффер до перелета.09:43 Как жена-гуманитарий искала работу мужу-ИТшнику.16:31 Работа с резюме и преодоление сопротивления.23:11 Погружение в ИТ-термины и использование ИИ.31:24 Система трекинга вакансий в Notion.40:03 80 откликов, 13 скринингов и 2 оффера за 3 месяца.43:07 Оптимизация хедлайна LinkedIn и ключевые слова.48:05 Подготовка множества вариантов резюме и писем.53:40 Поддержка партнера при отказах.57:15 Репетиции самопрезентации на английском.1:02:45 Сравнение двух офферов и финальный выбор.1:08:20 Разделение обязанностей в поиске внутри пары.1:12:10 Почему системность важнее удачи.

Jenna Free is a therapist for ADHD, with ADHD. Through hundreds of hours working with ADHD clients, and through her own lived experience, she has developed a practical, compassionate framework for understanding ADHD as a dysregulation cycle—not a character flaw. She is the author of the new book The Simple Guide to ADHD Regulation that releases the date this episode publishes. Jenna joined host Robert Glazer on the Elevate Podcast to talk about a better understand of ADHD, and key strategies for all people to use for effective self-regulation and resilience building. Thank you to the sponsors of The Elevate Podcast Shopify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠shopify.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Masterclass: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠masterclass.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Framer: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠framer.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Northwest Registered Agent: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠northwestregisteredagent.com/elevatefree⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Shipstation: ⁠⁠⁠shipstation.com/elevate⁠⁠ Indeed: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠indeed.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vanguard: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠vanguard.com/audio⁠⁠⁠⁠⁠ Notion: ⁠⁠⁠⁠⁠notion.com/elevate Learn more about your ad choices. Visit megaphone.fm/adchoices

On a new episode of Weekend Conversations on the Elevate Podcast, host Robert Glazer and producer Mick Sloan discuss the link between mistakes, consequences and learning. Robert shares why leaders shouldn't try to prevent their teams from ever making mistakes, then reveals a valuable framework for deciding what mistakes are acceptable learning experiences, and what mistakes must be avoided at all costs. ⁠⁠Read the post discussed in this episode: Bad Choices (#527)⁠⁠ Thank you to the sponsors of The Elevate Podcast Shopify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠shopify.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Masterclass: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠masterclass.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Framer: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠framer.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Northwest Registered Agent: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠northwestregisteredagent.com/elevatefree⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Shipstation: ⁠⁠shipstation.com/elevate⁠ Indeed: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠indeed.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vanguard: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠vanguard.com/audio⁠⁠⁠⁠ Notion: ⁠⁠⁠⁠notion.com/elevate Learn more about your ad choices. Visit megaphone.fm/adchoices

Building software is getting dramatically easier — so what exactly are we building our businesses on? In this episode, I dig into why real-world data is the only reliable moat left for software founders. I share what I'm seeing at Podscan, where fifty million transcribed podcast episodes matter far more than any algorithm, why purely transformative software is dangerously vulnerable to agents, and how making your business API-first with full platform parity is the move that turns a data advantage into a defensible one. Having data is half the moat. Availing data is the other half.This episode of The Bootstraped Founder is sponsored by Podscan.fmThe blog post: https://thebootstrappedfounder.com/data-is-the-only-moat/ The podcast episode: https://tbf.fm/episodes/437-data-is-the-only-moatCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

You keep hearing about AI, but nobody is telling you how it actually fits into a biotech career or a job search. That changes today.In this episode, Carina sits down with Heather Karner, a bench scientist with a background in RNA biology who works alongside machine learning researchers in the Bay Area. Heather is actively job searching and has quietly become the go-to AI resource for her lab and her network, not because she is a tech expert, but because she started experimenting and never stopped.Together they share the exact AI use cases they are running right now: a personalized daily brief that flagged Gilead and Eli Lilly RNA acquisitions before they hit LinkedIn, a literature review workflow built for scientists, how to use AI as a tireless teacher for coding and lab protocols, AI note taking that surfaced 10 action items from a 10-minute meeting, and how to turn a rambling brain dump into a clear, professional message.

On a new edition of Thinking Thursdays, Elevate Podcast host Robert Glazer and producer Mick Sloan discuss recent negotiations and conflict between Anthropic, the US Government, and OpenAI. After discussing the conflict, Robert and Mick dig into how the situation mirrors the choices all leaders will have to make about AI: how much to trust it, how much to limit it, and what unintended consequences it could have in their organizations. Thank you to the sponsors of The Elevate Podcast Shopify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠shopify.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Masterclass: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠masterclass.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Framer: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠framer.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Northwest Registered Agent: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠northwestregisteredagent.com/elevatefree⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Indeed: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠indeed.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vanguard: ⁠⁠⁠⁠⁠⁠⁠⁠⁠vanguard.com/audio⁠⁠ Shipstation: shipstation.com/elevate Notion: ⁠⁠notion.com/elevate Learn more about your ad choices. Visit megaphone.fm/adchoices

Notion isn't designing AI agents that just use tools. Their agents can autonomously build their own integrations, as well as write the code needed to finish a task. Sarah Guo sits down with Notion Co-Founder Simon Last to explore Notion's rapid evolution from a simple writing assistant to a sophisticated platform for custom AI agents. Simon discusses the technical hurdles of indexing disparate data from sources like Slack and Google Drive, as well as the internal shift toward using coding agents to build Notion itself. Plus, Simon elaborates on what he sees as a fundamental transition in productivity: moving from a tool where humans do the work, to one where humans manage a swarm of agents. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @simonlast | @NotionHQ Chapters: 00:00 – Cold Open 00:05 – Simon Last Introduction 00:26 – Genesis of Notion AI 04:10 – Challenge of Semantic Indexing and Retrieval 07:16 – The Six-Month Rewrite Cycle 08:12 – Notion's Coding Agent Era 09:44 – Impact on Team Dynamics 12:49 – Launching Custom Agents 15:39 – Notion as the ‘Switzerland' for Models 17:33 – Designing APIs for Agent Customers 20:09 – Simon's Personal Agentic Workflows 24:48 – Notion: Tool for Work is Now A Tool for Agents 27:28 – How Building Has Changed for Simon 29:00 – Conclusion

AI in eCommerce marketing isn't about “better prompts” anymore, it's about better systems. Brett sits down with returning guest Russ Henneberry (TheClick.ai, co-author of Digital Marketing for Dummies) to unpack what's new and what's next: Claude Cowork, agentic workflows, skills that “self-improve,” and what happens when your AI can actually use your files, tools, and data — not just chat about it.If you're a DTC founder, CMO, or operator trying to scale performance without scaling headcount, this episode is a blueprint for how modern teams are building repeatable AI routines for content, reporting, and decision-making.—Sponsored by OMG Commerce - go to (https://www.omgcommerce.com/contact) and request your FREE strategy session today!—Chapters: (00:00) Intro(02:05) What Cowork is: agentic plans, local files, and “skills”(05:20) Skills that self-improve, plus persona + offer as core context(08:10) Cowork as a “brain” with version control, shared across workflows(10:10) Connected sources: Notion transcripts, Zoom notes, and MCP-style integrations(15:10) Parallel agents and context windows: why this runs faster than chatbots(18:05) Skill marketplaces, sharing zips, and the security caution(23:10) OpenClaw/Open-source talk: the 4 “levels” (chatbot → cowork → code → open source)(28:05) Hardware reality: Mac Minis, Apple silicon, and “processing power” as leverage(31:05) Content system: Source → Structure → Format → Polish (newsletter example)(38:30) Click.ai membership, team training, and closing thoughts on revenue/employee—Connect With Brett: LinkedIn: https://www.linkedin.com/in/thebrettcurry/ YouTube: https://www.youtube.com/@omgcommerce Website: https://www.omgcommerce.com/ Request a Free Strategy Session: https://www.omgcommerce.com/contact Relevant Links:Russ's LinkedIn: https://www.linkedin.com/in/russhenneberrytheCLICK: https://theclick.ai/Digital Marketing for Dummies: https://www.amazon.com/Digital-Marketing-Dummies-Business-Personal/dp/1119235596Past guests on eCommerce Evolution include Ezra Firestone, Steve Chou, Drew Sanocki, Jacques Spitzer, Jeremy Horowitz, Ryan Moran, Sean Frank, Andrew Youderian, Ryan McKenzie, Joseph Wilkins, Cody Wittick, Miki Agrawal, Justin Brooke, Nish Samantray, Kurt Elster, John Parkes, Chris Mercer, Rabah Rahil, Bear Handlon, JC Hite, Frederick Vallaeys, Preston Rutherford, Anthony Mink, Bill D'Allessandro, Stephane Colleu, Jeff Oxford, Bryan Porter and more

No, they don't!

Turbopuffer came out of a reading app.In 2022, Simon was helping his friends at Readwise scale their infra for a highly requested feature: article recommendations and semantic search. Readwise was paying ~$5k/month for their relational database and vector search would cost ~$20k/month making the feature too expensive to ship. In 2023 after mulling over the problem from Readwise, Simon decided he wanted to “build a search engine” which became Turbopuffer.We discuss:• Simon's path: Denmark → Shopify infra for nearly a decade → “angel engineering” across startups like Readwise, Replicate, and Causal → turbopuffer almost accidentally becoming a company • The Readwise origin story: building an early recommendation engine right after the ChatGPT moment, seeing it work, then realizing it would cost ~$30k/month for a company spending ~$5k/month total on infra and getting obsessed with fixing that cost structure • Why turbopuffer is “a search engine for unstructured data”: Simon's belief that models can learn to reason, but can't compress the world's knowledge into a few terabytes of weights, so they need to connect to systems that hold truth in full fidelity • The three ingredients for building a great database company: a new workload, a new storage architecture, and the ability to eventually support every query plan customers will want on their data • The architecture bet behind turbopuffer: going all in on object storage and NVMe, avoiding a traditional consensus layer, and building around the cloud primitives that only became possible in the last few years • Why Simon hated operating Elasticsearch at Shopify: years of painful on-call experience shaped his obsession with simplicity, performance, and eliminating state spread across multiple systems • The Cursor story: launching turbopuffer as a scrappy side project, getting an email from Cursor the next day, flying out after a 4am call, and helping cut Cursor's costs by 95% while fixing their per-user economics • The Notion story: buying dark fiber, tuning TCP windows, and eating cross-cloud costs because Simon refused to compromise on architecture just to close a deal faster • Why AI changes the build-vs-buy equation: it's less about whether a company can build search infra internally, and more about whether they have time especially if an external team can feel like an extension of their own • Why RAG isn't dead: coding companies still rely heavily on search, and Simon sees hybrid retrieval semantic, text, regex, SQL-style patterns becoming more important, not less • How agentic workloads are changing search: the old pattern was one retrieval call up front; the new pattern is one agent firing many parallel queries at once, turning search into a highly concurrent tool call • Why turbopuffer is reducing query pricing: agentic systems are dramatically increasing query volume, and Simon expects retrieval infra to adapt to huge bursts of concurrent search rather than a small number of carefully chosen calls • The philosophy of “playing with open cards”: Simon's habit of being radically honest with investors, including telling Lachy Groom he'd return the money if turbopuffer didn't hit PMF by year-end • The “P99 engineer”: Simon's framework for building a talent-dense company, rejecting by default unless someone on the team feels strongly enough to fight for the candidate —Simon Hørup Eskildsen• LinkedIn: https://www.linkedin.com/in/sirupsen• X: https://x.com/Sirupsen• https://sirupsen.com/aboutturbopuffer• https://turbopuffer.com/Full Video PodTimestamps00:00:00 The PMF promise to Lachy Groom00:00:25 Intro and Simon's background00:02:19 What turbopuffer actually is00:06:26 Shopify, Elasticsearch, and the pain behind the company00:10:07 The Readwise experiment that sparked turbopuffer00:12:00 The insight Simon couldn't stop thinking about00:17:00 S3 consistency, NVMe, and the architecture bet00:20:12 The Notion story: latency, dark fiber, and conviction00:25:03 Build vs. buy in the age of AI00:26:00 The Cursor story: early launch to breakout customer00:29:00 Why code search still matters00:32:00 Search in the age of agents00:34:22 Pricing turbopuffer in the AI era00:38:17 Why Simon chose Lachy Groom00:41:28 Becoming a founder on purpose00:44:00 The “P99 engineer” philosophy00:49:30 Bending software to your will00:51:13 The future of turbopuffer00:57:05 Simon's tea obsession00:59:03 Tea kits, X Live, and P99 LiveTranscriptSimon Hørup Eskildsen: I don't think I've said this publicly before, but I just called Lockey and was like, local Lockie. Like if this doesn't have PMF by the end of the year, like we'll just like return all the money to you. But it's just like, I don't really, we, Justine and I don't wanna work on this unless it's really working.So we want to give it the best shot this year and like we're really gonna go for it. We're gonna hire a bunch of people. We're just gonna be honest with everyone. Like when I don't know how to play a game, I just play with open cards. Lockey was the only person that didn't, that didn't freak out. He was like, I've never heard anyone say that before.Alessio: Hey everyone, welcome to the Leading Space podcast. This is Celesio Pando, Colonel Laz, and I'm joined by Swix, editor of Leading Space.swyx: Hello. Hello, uh, we're still, uh, recording in the Ker studio for the first time. Very excited. And today we are joined by Simon Eski. Of Turbo Farer welcome.Simon Hørup Eskildsen: Thank you so much for having me.swyx: Turbo Farer has like really gone on a huge tear, and I, I do have to mention that like you're one of, you're not my newest member of the Danish AHU Mafia, where like there's a lot of legendary programmers that have come out of it, like, uh, beyond Trotro, Rasmus, lado Berg and the V eight team and, and Google Maps team.Uh, you're mostly a Canadian now, but isn't that interesting? There's so many, so much like strong Danish presence.Simon Hørup Eskildsen: Yeah, I was writing a post, um, not that long ago about sort of the influences. So I grew up in Denmark, right? I left, I left when, when I was 18 to go to Canada to, to work at Shopify. Um, and so I, like, I've, I would still say that I feel more Danish than, than Canadian.This is also the weird accent. I can't say th because it, this is like, I don't, you know, my wife is also Canadian, um, and I think. I think like one of the things in, in Denmark is just like, there's just such a ruthless pragmatism and there's also a big focus on just aesthetics. Like, they're like very, people really care about like where, what things look like.Um, and like Canada has a lot of attributes, US has, has a lot of attributes, but I think there's been lots of the great things to carry. I don't know what's in the water in Ahu though. Um, and I don't know that I could be considered part of the Mafi mafia quite yet, uh, compared to the phenomenal individuals we just mentioned.Barra OV is also, uh, Danish Canadian. Okay. Yeah. I don't know where he lives now, but, and he's the PHP.swyx: Yeah. And obviously Toby German, but moved to Canada as well. Yes. Like this is like import that, uh, that, that is an interesting, um, talent move.Alessio: I think. I would love to get from you. Definition of Turbo puffer, because I think you could be a Vector db, which is maybe a bad word now in some circles, you could be a search engine.It's like, let, let's just start there and then we'll maybe run through the history of how you got to this point.Simon Hørup Eskildsen: For sure. Yeah. So Turbo Puffer is at this point in time, a search engine, right? We do full text search and we do vector search, and that's really what we're specialized in. If you're trying to do much more than that, like then this might not be the right place yet, but Turbo Buffer is all about search.The other way that I think about it is that we can take all of the world's knowledge, all of the exabytes and exabytes of data that there is, and we can use those tokens to train a model, but we can't compress all of that into a few terabytes of weights, right? Compress into a few terabytes of weights, how to reason with the world, how to make sense of the knowledge.But we have to somehow connect it to something externally that actually holds that like in full fidelity and truth. Um, and that's the thing that we intend to become. Right? That's like a very holier than now kind of phrasing, right? But being the search engine for unstructured, unstructured data is the focus of turbo puffer at this point in time.Alessio: And let's break down. So people might say, well, didn't Elasticsearch already do this? And then some other people might say, is this search on my data, is this like closer to rag than to like a xr, like a public search thing? Like how, how do you segment like the different types of search?Simon Hørup Eskildsen: The way that I generally think about this is like, there's a lot of database companies and I think if you wanna build a really big database company, sort of, you need a couple of ingredients to be in the air.We don't, which only happens roughly every 15 years. You need a new workload. You basically need the ambition that every single company on earth is gonna have data in your database. Multiple times you look at a company like Oracle, right? You will, like, I don't think you can find a company on earth with a digital presence that it not, doesn't somehow have some data in an Oracle database.Right? And I think at this point, that's also true for Snowflake and Databricks, right? 15 years later it's, or even more than that, there's not a company on earth that doesn't, in. Or directly is consuming Snowflake or, or Databricks or any of the big analytics databases. Um, and I think we're in that kind of moment now, right?I don't think you're gonna find a company over the next few years that doesn't directly or indirectly, um, have all their data available for, for search and connect it to ai. So you need that new workload, like you need something to be happening where there's a new workload that causes that to happen, and that new workload is connecting very large amounts of data to ai.The second thing you need. The second condition to build a big database company is that you need some new underlying change in the storage architecture that is not possible from the databases that have come before you. If you look at Snowflake and Databricks, right, commoditized, like massive fleet of HDDs, like that was not possible in it.It just wasn't in the air in the nineties, right? So you just didn't, we just didn't build these systems. S3 and and and so on was not around. And I think the architecture that is now possible that wasn't possible 15 years ago is to go all in on NVME SSDs. It requires a particular type of architecture for the database that.It's difficult to retrofit onto the databases that are already there, including the ones you just mentioned. The second thing is to go all in on OIC storage, more so than we could have done 15 years ago. Like we don't have a consensus layer, we don't really have anything. In fact, you could turn off all the servers that Turbo Buffer has, and we would not lose any data because we have all completely all in on OIC storage.And this means that our architecture is just so simple. So that's the second condition, right? First being a new workload. That means that every company on earth, either indirectly or directly, is using your database. Second being, there's some new storage architecture. That means that the, the companies that have come before you can do what you're doing.I think the third thing you need to do to build a big database company is that over time you have to implement more or less every Cory plan on the data. What that means is that you. You can't just get stuck in, like, this is the one thing that a database does. It has to be ever evolving because when someone has data in the database, they over time expect to be able to ask it more or less every question.So you have to do that to get the storage architecture to the limit of what, what it's capable of. Those are the three conditions.swyx: I just wanted to get a little bit of like the motivation, right? Like, so you left Shopify, you're like principal, engineer, infra guy. Um, you also head of kernel labs, uh, inside of Shopify, right?And then you consulted for read wise and that it kind of gave you that, that idea. I just wanted you to tell that story. Um, maybe I, you've told it before, but, uh, just introduce the, the. People to like the, the new workload, the sort of aha moment for turbo PufferSimon Hørup Eskildsen: For sure. So yeah, I spent almost a decade at Shopify.I was on the infrastructure team, um, from the fairly, fairly early days around 2013. Um, at the time it felt like it was growing so quickly and everything, all the metrics were, you know, doubling year on year compared to the, what companies are contending with today. It's very cute in growth. I feel like lot some companies are seeing that month over month.Um, of course. Shopify compound has been compounding for a very long time now, but I spent a decade doing that and the majority of that was just make sure the site is up today and make sure it's up a year from now. And a lot of that was really just the, um, you know, uh, the Kardashians would drive very, very large amounts of, of data to, to uh, to Shopify as they were rotating through all the merch and building out their businesses.And we just needed to make sure we could handle that. Right. And sometimes these were events, a million requests per second. And so, you know, we, we had our own data centers back in the day and we were moving to the cloud and there was so much sharding work and all of that that we were doing. So I spent a decade just scaling databases ‘cause that's fundamentally what's the most difficult thing to scale about these sites.The database that was the most difficult for me to scale during that time, and that was the most aggravating to be on call for, was elastic search. It was very, very difficult to deal with. And I saw a lot of projects that were just being held back in their ambition by using it.swyx: And I mean, self-hosted.Self-hosted. ‘causeSimon Hørup Eskildsen: it's, yeah, and it commercial, this is like 2015, right? So it's like a very particular vintage. Right. It's probably better at a lot of these things now. Um, it was difficult to contend with and I'm just like, I just think about it. It's an inverted index. It should be good at these kinds of queries and do all of this.And it was, we, we often couldn't get it to do exactly what we needed to do or basically get lucine to do, like expose lucine raw to, to, to what we needed to do. Um, so that was like. Just something that we did on the side and just panic scaled when we needed to, but not a particular focus of mine. So I left, and when I left, I, um, wasn't sure exactly what I wanted to do.I mean, it spent like a decade inside of the same company. I'd like grown up there. I started working there when I was 18.swyx: You only do Rails?Simon Hørup Eskildsen: Yeah. I mean, yeah. Rails. And he's a Rails guy. Uh, love Rails. So good. Um,Alessio: we all wish we could still work in Rails.swyx: I know know. I know, but some, I tried learning Ruby.It's just too much, like too many options to do the same thing. It's, that's my, I I know there's a, there's a way to do it.Simon Hørup Eskildsen: I love it. I don't know that I would use it now, like given cloud code and, and, and cursor and everything, but, um, um, but still it, like if I'm just sitting down and writing a teal code, that's how I think.But anyway, I left and I wasn't, I talked to a couple companies and I was like, I don't. I need to see a little bit more of the world here to know what I'm gonna like focus on next. Um, and so what I decided is like I was gonna, I called it like angel engineering, where I just hopped around in my friend's companies in three months increments and just helped them out with something.Right. And, and just vested a bit of equity and solved some interesting infrastructure problem. So I worked with a bunch of companies at the time, um, read Wise was one of them. Replicate was one of them. Um, causal, I dunno if you've tried this, it's like a, it's a spreadsheet engine Yeah. Where you can do distribution.They sold recently. Yeah. Um, we've been, we used that in fp and a at, um, at Turbo Puffer. Um, so a bunch of companies like this and it was super fun. And so we're the Chachi bt moment happened, I was with. With read Wise for a stint, we were preparing for the reader launch, right? Which is where you, you cue articles and read them later.And I was just getting their Postgres up to snuff, like, which basically boils down to tuning, auto vacuum. So I was doing that and then this happened and we were like, oh, maybe we should build a little recommendation engine and some features to try to hook in the lms. They were not that good yet, but it was clear there was something there.And so I built a small recommendation engine just, okay, let's take the articles that you've recently read, right? Like embed all the articles and then do recommendations. It was good enough that when I ran it on one of the co-founders of Rey's, like I found out that I got articles about, about having a child.I'm like, oh my God, I didn't, I, I didn't know that, that they were having a child. I wasn't sure what to do with that information, but the recommendation engine was good enough that it was suggesting articles, um, about that. And so there was, there was recommendations and uh, it actually worked really well.But this was a company that was spending maybe five grand a month in total on all their infrastructure and. When I did the napkin math on running the embeddings of all the articles, putting them into a vector index, putting it in prod, it's gonna be like 30 grand a month. That just wasn't tenable. Right?Like Read Wise is a proudly bootstrapped company and it's paying 30 grand for infrastructure for one feature versus five. It just wasn't tenable. So sort of in the bucket of this is useful, it's pretty good, but let us, let's return to it when the costs come down.swyx: Did you say it grows by feature? So for five to 30 is by the number of, like, what's the, what's the Scaling factor scale?It scales by the number of articles that you embed.Simon Hørup Eskildsen: It does, but what I meant by that is like five grand for like all of the other, like the Heroku, dinos, Postgres, like all the other, and this then storage is 30. Yeah. And then like 30 grand for one feature. Right. Which is like, what other articles are related to this one.Um, so it was just too much right to, to power everything. Their budget would've been maybe a few thousand dollars, which still would've been a lot. And so we put it in a bucket of, okay, we're gonna do that later. We'll wait, we will wait for the cost to come down. And that haunted me. I couldn't stop thinking about it.I was like, okay, there's clearly some latent demand here. If the cost had been a 10th, we would've shipped it and. This was really the only data point that I had. Right. I didn't, I, I didn't, I didn't go out and talk to anyone else. It was just so I started reading Right. I couldn't, I couldn't help myself.Like I didn't know what like a vector index is. I, I generally barely do about how to generate the vectors. There was a lot of hype about, this is a early 2023. There was a lot of hype about vector databases. There were raising a lot of money and it's like, I really didn't know anything about it. It's like, you know, trying these little models, fine tuning them.Like I was just trying to get sort of a lay of the land. So I just sat down. I have this. A GitHub repository called Napkin Math. And on napkin math, there's just, um, rows of like, oh, this is how much bandwidth. Like this is how many, you know, you can do 25 gigabytes per second on average to dram. You can do, you know, five gigabytes per second of rights to an SSD, blah blah.All of these numbers, right? And S3, how many you could do per, how much bandwidth can you drive per connection? I was just sitting down, I was like, why hasn't anyone build a database where you just put everything on O storage and then you puff it into NVME when you use the data and you puff it into dram if you're, if you're querying it alive, it's just like, this seems fairly obvious and you, the only real downside to that is that if you go all in on o storage, every right will take a couple hundred milliseconds of latency, but from there it's really all upside, right?You do the first go, it takes half a second. And it sort of occurred to me as like, well. The architecture is really good for that. It's really good for AB storage, it's really good for nvm ESSD. It's, well, you just couldn't have done that 10 years ago. Back to what we were talking about before. You really have to build a database where you have as few round trips as possible, right?This is how CPUs work today. It's how NVM E SSDs work. It's how as, um, as three works that you want to have a very large amount of outstanding requests, right? Like basically go to S3, do like that thousand requests to ask for data in one round trip. Wait for that. Get that, like, make a new decision. Do it again, and try to do that maybe a maximum of three times.But no databases were designed that way within NVME as is ds. You can drive like within, you know, within a very low multiple of DRAM bandwidth if you use it that way. And same with S3, right? You can fully max out the network card, which generally is not maxed out. You get very, like, very, very good bandwidth.And, but no one had built a database like that. So I was like, okay, well can't you just, you know, take all the vectors right? And plot them in the proverbial coordinate system. Get the clusters, put a file on S3 called clusters, do json, and then put another file for every cluster, you know, cluster one, do js O cluster two, do js ON you know that like it's two round trips, right?So you get the clusters, you find the closest clusters, and then you download the cluster files like the, the closest end. And you could do this in two round trips.swyx: You were nearest neighbors locally.Simon Hørup Eskildsen: Yes. Yes. And then, and you would build this, this file, right? It's just like ultra simplistic, but it's not a far shot from what the first version of Turbo Buffer was.Why hasn't anyone done thatAlessio: in that moment? From a workload perspective, you're thinking this is gonna be like a read heavy thing because they're doing recommend. Like is the fact that like writes are so expensive now? Oh, with ai you're actually not writing that much.Simon Hørup Eskildsen: At that point I hadn't really thought too much about, well no actually it was always clear to me that there was gonna be a lot of rights because at Shopify, the search clusters were doing, you know, I don't know, tens or hundreds of crew QPS, right?‘cause you just have to have a human sit and type in. But we did, you know, I don't know how many updates there were per second. I'm sure it was in the millions, right into the cluster. So I always knew there was like a 10 to 100 ratio on the read write. In the read wise use case. It's, um, even, even in the read wise use case, there'd probably be a lot fewer reads than writes, right?There's just a lot of churn on the amount of stuff that was going through versus the amount of queries. Um, I wasn't thinking too much about that. I was mostly just thinking about what's the fundamentally cheapest way to build a database in the cloud today using the primitives that you have available.And this is it, right? You just, now you have one machine and you know, let's say you have a terabyte of data in S3, you paid the $200 a month for that, and then maybe five to 10% of that data and needs to be an NV ME SSDs and less than that in dram. Well. You're paying very, very little to inflate the data.swyx: By the way, when you say no one else has done that, uh, would you consider Neon, uh, to be on a similar path in terms of being sort of S3 first and, uh, separating the compute and storage?Simon Hørup Eskildsen: Yeah, I think what I meant with that is, uh, just build a completely new database. I don't know if we were the first, like it was very much, it was, I mean, I, I hadn't, I just looked at the napkin math and was like, this seems really obvious.So I'm sure like a hundred people came up with it at the same time. Like the light bulb and every invention ever. Right. It was just in the air. I think Neon Neon was, was first to it. And they're trying, they're retrofitted onto Postgres, right? And then they built this whole architecture where you have, you have it in memory and then you sort of.You know, m map back to S3. And I think that was very novel at the time to do it for, for all LTP, but I hadn't seen a database that was truly all in, right. Not retrofitting it. The database felt built purely for this no consensus layer. Even using compare and swap on optic storage to do consensus. I hadn't seen anyone go that all in.And I, I mean, there, there, I'm sure there was someone that did that before us. I don't know. I was just looking at the napkin mathswyx: and, and when you say consensus layer, uh, are you strongly relying on S3 Strong consistency? You are. Okay.SoSimon Hørup Eskildsen: that is your consensus layer. It, it is the consistency layer. And I think also, like, this is something that most people don't realize, but S3 only became consistent in December of 2020.swyx: I remember this coming out during COVID and like people were like, oh, like, it was like, uh, it was just like a free upgrade.Simon Hørup Eskildsen: Yeah.swyx: They were just, they just announced it. We saw consistency guys and like, okay, cool.Simon Hørup Eskildsen: And I'm sure that they just, they probably had it in prod for a while and they're just like, it's done right.And people were like, okay, cool. But. That's a big moment, right? Like nv, ME SSDs, were also not in the cloud until around 2017, right? So you just sort of had like 2017 nv, ME SSDs, and people were like, okay, cool. There's like one skew that does this, whatever, right? Takes a few years. And then the second thing is like S3 becomes consistent in 2020.So now it means you don't have to have this like big foundation DB or like zookeeper or whatever sitting there contending with the keys, which is how. You know, that's what Snowflake and others have do so muchswyx: for goneSimon Hørup Eskildsen: Exactly. Just gone. Right? And so just push to the, you know, whatever, how many hundreds of people they have working on S3 solved and then compare and swap was not in S3 at this point in time,swyx: by the way.Uh, I don't know what that is, so maybe you wanna explain. Yes. Yeah.Simon Hørup Eskildsen: Yes. So, um, what Compare and swap is, is basically, you can imagine that if you have a database, it might be really nice to have a file called metadata json. And metadata JSON could say things like, Hey, these keys are here and this file means that, and there's lots of metadata that you have to operate in the database, right?But that's the simplest way to do it. So now you have might, you might have a lot of servers that wanna change the metadata. They might have written a file and want the metadata to contain that file. But you have a hundred nodes that are trying to contend with this metadata that JSON well, what compare and Swap allows you to do is basically just you download the file, you make the modifications, and then you write it only if it hasn't changed.While you did the modification and if not you retry. Right? Should just have this retry loops. Now you can imagine if you have a hundred nodes doing that, it's gonna be really slow, but it will converge over time. That primitive was not available in S3. It wasn't available in S3 until late 2024, but it was available in GCP.The real story of this is certainly not that I sat down and like bake brained it. I was like, okay, we're gonna start on GCS S3 is gonna get it later. Like it was really not that we started, we got really lucky, like we started on GCP and we started on GCP because tur um, Shopify ran on GCP. And so that was the platform I was most available with.Right. Um, and I knew the Canadian team there ‘cause I'd worked with them at Shopify and so it was natural for us to start there. And so when we started building the database, we're like, oh yeah, we have to build a, we really thought we had to build a consensus layer, like have a zookeeper or something to do this.But then we discovered the compare and swap. It's like, oh, we can kick the can. Like we'll just do metadata r json and just, it's fine. It's probably fine. Um, and we just kept kicking the can until we had very, very strong conviction in the idea. Um, and then we kind of just hinged the company on the fact that S3 probably was gonna get this, it started getting really painful in like mid 2024.‘cause we were closing deals with, um, um, notion actually that was running in AWS and we're like, trust us. You, you really want us to run this in GCP? And they're like, no, I don't know about that. Like, we're running everything in AWS and the latency across the cloud were so big and we had so much conviction that we bought like, you know, dark fiber between the AWS regions in, in Oregon, like in the InterExchange and GCP is like, we've never seen a startup like do like, what's going on here?And we're just like, no, we don't wanna do this. We were tuning like TCP windows, like everything to get the latency down ‘cause we had so high conviction in not doing like a, a metadata layer on S3. So those were the three conditions, right? Compare and swap. To do metadata, which wasn't in S3 until late 2024 S3 being consistent, which didn't happen until December, 2020.Uh, 2020. And then NVMe ssd, which didn't end in the cloud until 2017.swyx: I mean, in some ways, like a very big like cloud success story that like you were able to like, uh, put this all together, but also doing things like doing, uh, bind our favor. That that actually is something I've never heard.Simon Hørup Eskildsen: I mean, it's very common when you're a big company, right?You're like connecting your own like data center or whatever. But it's like, it was uniquely just a pain with notion because the, um, the org, like most of the, like if you're buying in Ashburn, Virginia, right? Like US East, the Google, like the GCP and, and AWS data centers are like within a millisecond on, on each other, on the public exchanges.But in Oregon uniquely, the GCP data center sits like a couple hundred kilometers, like east of Portland and the AWS region sits in Portland, but the network exchange they go through is through Seattle. So it's like a full, like 14 milliseconds or something like that. And so anyway, yeah. It's, it's, so we were like, okay, we can't, we have to go through an exchange in Portland.Yeah. Andswyx: you'd rather do this than like run your zookeeper and likeSimon Hørup Eskildsen: Yes. Way rather. It doesn't have state, I don't want state and two systems. Um, and I think all that is just informed by Justine, my co-founder and I had just been on call for so long. And the worst outages are the ones where you have state in multiple places that's not syncing up.So it really came from, from a a, like just a, a very pure source of pain, of just imagining what we would be Okay. Being woken up at 3:00 AM about and having something in zookeeper was not one of them.swyx: You, you're talking to like a notion or something. Do they care or do they just, theySimon Hørup Eskildsen: just, they care about latency.swyx: They latency cost. That's it.Simon Hørup Eskildsen: They just cared about latency. Right. And we just absorbed the cost. We're just like, we have high conviction in this. At some point we can move them to AWS. Right. And so we just, we, we'll buy the fiber, it doesn't matter. Right. Um, and it's like $5,000. Usually when you buy fiber, you buy like multiple lines.And we're like, we can only afford one, but we will just test it that when it goes over the public internet, it's like super smooth. And so we did a lot of, anyway, it's, yeah, it was, that's cool.Alessio: You can imagine talking to the GCP rep and it's like, no, we're gonna buy, because we know we're gonna turn, we're gonna turn from you guys and go to AWS in like six months.But in the meantime we'll do this. It'sSimon Hørup Eskildsen: a, I mean, like they, you know, this workload still runs on GCP for what it's worth. Right? ‘cause it's so, it was just, it was so reliable. So it was never about moving off GCP, it was just about honesty. It was just about giving notion the latency that they deserved.Right. Um, and we didn't want ‘em to have to care about any of this. We also, they were like, oh, egress is gonna be bad. It was like, okay, screw it. Like we're just gonna like vvc, VPC peer with you and AWS we'll eat the cost. Yeah. Whatever needs to be done.Alessio: And what were the actual workloads? Because I think when you think about ai, it's like 14 milliseconds.It's like really doesn't really matter in the scheme of like a model generation.Simon Hørup Eskildsen: Yeah. We were told the latency, right. That we had to beat. Oh, right. So, so we're just looking at the traces. Right. And then sort of like hand draw, like, you know, kind of like looking at the trace and then thinking what are the other extensions of the trace?Right. And there's a lot more to it because it's also when you have, if you have 14 versus seven milliseconds, right. You can fit in another round trip. So we had to tune TCP to try to send as much data in every round trip, prewarm all the connections. And there was, there's a lot of things that compound from having these kinds of round trips, but in the grand scheme it was just like, well, we have to beat the latency of whatever we're up against.swyx: Which is like they, I mean, notion is a database company. They could have done this themselves. They, they do lots of database engineering themselves. How do you even get in the door? Like Yeah, just like talk through that kind of.Simon Hørup Eskildsen: Last time I was in San Francisco, I was talking to one of the engineers actually, who, who was one of our champions, um, at, AT Notion.And they were, they were just trying to make sure that the, you know, per user cost matched the economics that they needed. You know, Uhhuh like, it's like the way I think about, it's like I have to earn a return on whatever the clouds charge me and then my customers have to earn a return on that. And it's like very simple, right?And so there has to be gross margin all the way up and that's how you build the product. And so then our customers have to make the right set of trade off the turbo Puffer makes, and if they're happy with that, that's great.swyx: Do you feel like you're competing with build internally versus buy or buy versus buy?Simon Hørup Eskildsen: Yeah, so, sorry, this was all to build up to your question. So one of the notion engineers told me that they'd sat and probably on a napkin, like drawn out like, why hasn't anyone built this? And then they saw terrible. It was like, well, it literally that. So, and I think AI has also changed the buy versus build equation in terms of, it's not really about can we build it, it's about do we have time to build it?I think they like, I think they felt like, okay, if this is a team that can do that and they, they feel enough like an extension of our team, well then we can go a lot faster, which would be very, very good for them. And I mean, they put us through the, through the test, right? Like we had some very, very long nights to to, to do that POC.And they were really our biggest, our second big customer off the cursor, which also was a lot of late nights. Right.swyx: Yeah. That, I mean, should we go into that story? The, the, the sort of Chris's story, like a lot, um, they credit you a lot for. Working very closely with them. So I just wanna hear, I've heard this, uh, story from Sole's point of view, but like, I'm curious what, what it looks like from your side.Simon Hørup Eskildsen: I actually haven't heard it from Sole's point of view, so maybe you can now cross reference it. The way that I remember it was that, um, the day after we launched, which was just, you know, I'd worked the whole summer on, on the first version. Justine wasn't part of it yet. ‘cause I just, I didn't tell anyone that summer that I was working on this.I was just locked in on building it because it's very easy otherwise to confuse talking about something to actually doing it. And so I was just like, I'm not gonna do that. I'm just gonna do the thing. I launched it and at this point turbo puffer is like a rust binary running on a single eight core machine in a T Marks instance.And me deploying it was like looking at the request log and then like command seeing it or like control seeing it to just like, okay, there's no request. Let's upgrade the binary. Like it was like literally the, the, the, the scrappiest thing. You could imagine it was on purpose because just like at Shopify, we did that all the time.Like, we like move, like we ran things in tux all the time to begin with. Before something had like, at least the inkling of PMF, it was like, okay, is anyone gonna hear about this? Um, and one of the cursor co-founders Arvid reached out and he just, you know, the, the cursor team are like all I-O-I-I-M-O like, um, contenders, right?So they just speak in bullet points and, and facts. It was like this amazing email exchange just of, this is how many QPS we have, this is what we're paying, this is where we're going, blah, blah, blah. And so we're just conversing in bullet points. And I tried to get a call with them a few times, but they were, so, they were like really writing the PMF bowl here, just like late 2023.And one time Swally emails me at like five. What was it like 4:00 AM Pacific time saying like, Hey, are you open for a call now? And I'm on the East coast and I, it was like 7:00 AM I was like, yeah, great, sure, whatever. Um, and we just started talking and something. Then I didn't know anything about sales.It was something that just comp compelled me. I have to go see this team. Like, there's something here. So I, I went to San Francisco and I went to their office and the way that I remember it is that Postgres was down when I showed up at the office. Did SW tell you this? No. Okay. So Postgres was down and so it's like they were distracting with that.And I was trying my best to see if I could, if I could help in any way. Like I knew a little bit about databases back to tuning, auto vacuum. It was like, I think you have to tune out a vacuum. Um, and so we, we talked about that and then, um, that evening just talked about like what would it look like, what would it look like to work with us?And I just said. Look like we're all in, like we will just do what we'll do whatever, whatever you tell us, right? They migrated everything over the next like week or two, and we reduced their cost by 95%, which I think like kind of fixed their per user economics. Um, and it solved a lot of other things. And we were just, Justine, this is also when I asked Justine to come on as my co-founder, she was the best engineer, um, that I ever worked with at Shopify.She lived two blocks away and we were just, okay, we're just gonna get this done. Um, and we did, and so we helped them migrate and we just worked like hell over the next like month or two to make sure that we were never an issue. And that was, that was the cursor story. Yeah.swyx: And, and is code a different workload than normal text?I, I don't know. Is is it just text? Is it the same thing?Simon Hørup Eskildsen: Yeah, so cursor's workload is basically, they, um, they will embed the entire code base, right? So they, they will like chunk it up in whatever they would, they do. They have their own embedding model, um, which they've been public about. Um, and they find that on, on, on their evals.It. There's one of their evals where it's like a 25% improvement on a very particular workload. They have a bunch of blog posts about it. Um, I think it works best on larger code basis, but they've trained their own embedding model to do this. Um, and so you'll see it if you use the cursor agent, it will do searches.And they've also been public around, um, how they've, I think they post trained their model to be very good at semantic search as well. Um, and that's, that's how they use it. And so it's very good at, like, can you find me on the code that's similar to this, or code that does this? And just in, in this queries, they also use GR to supplement it.swyx: Yeah.Simon Hørup Eskildsen: Um, of courseswyx: it's been a big topic of discussion like, is rag dead because gr you know,Simon Hørup Eskildsen: and I mean like, I just, we, we see lots of demand from the coding company to ethicsswyx: search in every part. Yes.Simon Hørup Eskildsen: Uh, we, we, we see demand. And so, I mean, I'm. I like case studies. I don't like, like just doing like thought pieces on this is where it's going.And like trying to be all macroeconomic about ai, that's has turned out to be a giant waste of time because no one can really predict any of this. So I just collect case studies and I mean, cursor has done a great job talking about what they're doing and I hope some of the other coding labs that use Turbo Puffer will do the same.Um, but it does seem to make a difference for particular queries. Um, I mean we can also do text, we can also do RegX, but I should also say that cursors like security posture into Tur Puffer is exceptional, right? They have their own embedding model, which makes it very difficult to reverse engineer. They obfuscate the file paths.They like you. It's very difficult to learn anything about a code base by looking at it. And the other thing they do too is that for their customers, they encrypt it with their encryption keys in turbo puffer's bucket. Um, so it's, it's, it's really, really well designed.swyx: And so this is like extra stuff they did to work with you because you are not part of Cursor.Exactly like, and this is just best practice when working in any database, not just you guys. Okay. Yeah, that makes sense. Yeah. I think for me, like the, the, the learning is kind of like you, like all workloads are hybrid. Like, you know, uh, like you, you want the semantic, you want the text, you want the RegX, you want sql.I dunno. Um, but like, it's silly to like be all in on like one particularly query pattern.Simon Hørup Eskildsen: I think, like I really like the way that, um, um, that swally at cursor talks about it, which is, um, I'm gonna butcher it here. Um, and you know, I'm a, I'm a database scalability person. I'm not a, I, I dunno anything about training models other than, um, what the internet tells me and what.The way he describes is that this is just like cash compute, right? It's like you have a point in time where you're looking at some particular context and focused on some chunk and you say, this is the layer of the neural net at this point in time. That seems fundamentally really useful to do cash compute like that.And, um, how the value of that will change over time. I'm, I'm not sure, but there seems to be a lot of value in that.Alessio: Maybe talk a bit about the evolution of the workload, because even like search, like maybe two years ago it was like one search at the start of like an LLM query to build the context. Now you have a gentech search, however you wanna call it, where like the model is both writing and changing the code and it's searching it again later.Yeah. What are maybe some of the new types of workloads or like changes you've had to make to your architecture for it?Simon Hørup Eskildsen: I think you're right. When I think of rag, I think of, Hey, there's an 8,000 token, uh, context window and you better make it count. Um, and search was a way to do that now. Everything is moving towards the, just let the agent do its thing.Right? And so back to the thing before, right? The LLM is very good at reasoning with the data, and so we're just the tool call, right? And that's increasingly what we see our customers doing. Um, what we're seeing more demand from, from our customers now is to do a lot of concurrency, right? Like Notion does a ridiculous amount of queries in every round trip just because they can't.And I'm also now, when I use the cursor agent, I also see them doing more concurrency than I've ever seen before. So a bit similar to how we designed a database to drive as much concurrency in every round trip as possible. That's also what the agents are doing. So that's new. It means just an enormous amount of queries all at once to the dataset while it's warm in as few turns as possible.swyx: Can I clarify one thing on that?Simon Hørup Eskildsen: Yes.swyx: Is it, are they batching multiple users or one user is driving multiple,Simon Hørup Eskildsen: one user driving multiple, one agent driving.swyx: It's parallel searching a bunch of things.Simon Hørup Eskildsen: Exactly.swyx: Yeah. Yeah, exactly. So yeah, the clinician also did, did this for the fast context thing, like eight parallel at once.Simon Hørup Eskildsen: Yes.swyx: And, and like an interesting problem is, well, how do you make sure you have enough diversity so you're not making the the same request eight times?Simon Hørup Eskildsen: And I think like that's probably also where the hybrid comes in, where. That's another way to diversify. It's a completely different way to, to do the search.That's a big change, right? So before it was really just like one call and then, you know, the LLM took however many seconds to return, but now we just see an enormous amount of queries. So the, um, we just see more queries. So we've like tried to reduce query, we've reduced query pricing. Um, this is probably the first time actually I'm saying that, but the query pricing is being reduced, like five x.Um, and we'll probably try to reduce it even more to accommodate some of these workloads of just doing very large amounts of queries. Um, that's one thing that's changed. I think the right, the right ratio is still very high, right? Like there's still a, an enormous amount of rights per read, but we're starting probably to see that change if people really lean into this pattern.Alessio: Can we talk a little bit about the pricing? I'm curious, uh, because traditionally a database would charge on storage, but now you have the token generation that is so expensive, where like the actual. Value of like a good search query is like much higher because they're like saving inference time down the line.How do you structure that as like, what are people receptive to on the other side too?Simon Hørup Eskildsen: Yeah. I, the, the turbo puffer pricing in the beginning was just very simple. The pricing on these on for search engines before Turbo Puffer was very server full, right? It was like, here's the vm, here's the per hour cost, right?Great. And I just sat down with like a piece of paper and said like, if Turbo Puffer was like really good, this is probably what it would cost with a little bit of margin. And that was the first pricing of Turbo Puffer. And I just like sat down and I was like, okay, like this is like probably the storage amp, but whenever on a piece of paper I, it was vibe pricing.It was very vibe price, and I got it wrong. Oh. Um, well I didn't get it wrong, but like Turbo Puffer wasn't at the first principle pricing, right? So when Cursor came on Turbo Puffer, it was like. Like, I didn't know any VCs. I didn't know, like I was just like, I don't know, I didn't know anything about raising money or anything like that.I just saw that my GCP bill was, was high, was a lot higher than the cursor bill. So Justine and I was just like, well, we have to optimize it. Um, and I mean, to the chagrin now of, of it, of, of the VCs, it now means that we're profitable because we've had so much pricing pressure in the beginning. Because it was running on my credit card and Justine and I had spent like, like tens of thousands of dollars on like compute bills and like spinning off the company and like very like, like bad Canadian lawyers and like things like to like get all of this done because we just like, we didn't know.Right. If you're like steeped in San Francisco, you're just like, you just know. Okay. Like you go out, raise a pre-seed round. I, I never heard a word pre-seed at this point in time.swyx: When you had Cursor, you had Notion you, you had no funding.Simon Hørup Eskildsen: Um, with Cursor we had no funding. Yeah. Um, by the time we had Notion Locke was, Locke was here.Yeah. So it was really just, we vibe priced it 100% from first Principles, but it wasn't, it, it was not performing at first principles, so we just did everything we could to optimize it in the beginning for that, so that at least we could have like a 5% margin or something. So I wasn't freaking out because Cursor's bill was also going like this as they were growing.And so my liability and my credit limit was like actively like calling my bank. It was like, I need a bigger credit. Like it was, yeah. Anyway, that was the beginning. Yeah. But the pricing was, yeah, like storage rights and query. Right. And the, the pricing we have today is basically just that pricing with duct tape and spit to try to approach like, you know, like a, as a margin on the physical underlying hardware.And we're doing this year, you're gonna see more and more pricing changes from us. Yeah.swyx: And like is how much does stuff like VVC peering matter because you're working in AWS land where egress is charged and all that, you know.Simon Hørup Eskildsen: We probably don't like, we have like an enterprise plan that just has like a base fee because we haven't had time to figure out SKU pricing for all of this.Um, but I mean, yeah, you can run turbo puffer either in SaaS, right? That's what Cursor does. You can run it in a single tenant cluster. So it's just you. That's what Notion does. And then you can run it in, in, in BYOC where everything is inside the customer's VPC, that's what an for example, philanthropic does.swyx: What I'm hearing is that this is probably the best CRO job for somebody who can come in and,Simon Hørup Eskildsen: I mean,swyx: help you with this.Simon Hørup Eskildsen: Um, like Turbo Puffer hired, like, I don't know what, what number this was, but we had a full-time CFO as like the 12th hire or something at Turbo Puffer, um, I think I hear are a lot of comp.I don't know how they do it. Like they have a hundred employees and not a CFO. It's like having a CFO is like a runningswyx: business man. Like, you know,Simon Hørup Eskildsen: it's so good. Yeah, like money Mike, like he just, you know, just handles the money and a lot of the business stuff and so he came in and just hopped with a lot of the operational side of the business.So like C-O-O-C-F-O, like somewhere in between.swyx: Just as quick mention of Lucky, just ‘cause I'm curious, I've met Lock and like, he's obviously a very good investor and now on physical intelligence, um, I call it generalist super angel, right? He invests in everything. Um, and I always wonder like, you know, is there something appealing about focusing on developer tooling, focusing on databases, going like, I've invested for 10 years in databases versus being like a lock where he can maybe like connect you to all the customers that you need.Simon Hørup Eskildsen: This is an excellent question. No, no one's asked me this. Um, why lockey? Because. There was a couple of people that we were talking to at the time and when we were raising, we were almost a little, we were like a bit distressed because one of our, one of our peers had just launched something that was very similar to Turbo Puffer.And someone just gave me the advice at the time of just choose the person where you just feel like you can just pick up the phone and not prepare anything. And just be completely honest, and I don't think I've said this publicly before, but I just called Lockey and was like local Lockie. Like if this doesn't have PMF by the end of the year, like we'll just like return all the money to you.But it's just like, I don't really, we, Justine and I don't wanna work on this unless it's really working. So we want to give it the best shot this year and like we're really gonna go for it. We're gonna hire a bunch of people and we're just gonna be honest with everyone. Like when I don't know how to play a game, I just play with open cards and.Lockey was the only person that didn't, that didn't freak out. He was like, I've never heard anyone say that before. As I said, I didn't even know what a seed or pre-seed round was like before, probably even at this time. So I was just like very honest with him. And I asked him like, Lockie, have you ever have, have you ever invested in database company?He was just like, no. And at the time I was like, am I dumb? Like, but I think there was something that just like really drew me to Lockie. He is so authentic, so honest, like, and there was something just like, I just felt like I could just play like, just say everything openly. And that was, that was, I think that that was like a perfect match at the time, and, and, and honestly still is.He was just like, okay, that's great. This is like the most honest, ridiculous thing I've ever heard anyone say to me. But like that, like that, whyswyx: is this ridiculous? Say competitor launch, this may not work out. It wasSimon Hørup Eskildsen: more just like. If this doesn't work out, I'm gonna close up shop by the end of the mo the year, right?Like it was, I don't know, maybe it's common. I, I don't know. He told me it was uncommon. I don't know. Um, that's why we chose him and he'd been phenomenal. The other people were talking at the, at the time were database experts. Like they, you know, knew a lot about databases and Locke didn't, this turned out to be a phenomenal asset.Right. I like Justine and I know a lot about databases. The people that we hire know a lot about databases. What we needed was just someone who didn't know a lot about databases, didn't pretend to know a lot about databases, and just wanted to help us with candidates and customers. And he did. Yeah. And I have a list, right, of the investors that I have a relationship with, and Lockey has just performed excellent in the number of sub bullets of what we can attribute back to him.Just absolutely incredible. And when people talk about like no ego and just the best thing for the founder, I like, I don't think that anyone, like even my lawyer is like, yeah, Lockey is like the most friendly person you will find.swyx: Okay. This is my most glow recommendation I've ever heard.Alessio: He deserves it.He's very special.swyx: Yeah. Yeah. Yeah. Okay. Amazing.Alessio: Since you mentioned candidates, maybe we can talk about team building, you know, like, especially in sf, it feels like it's just easier to start a company than to join a company. Uh, I'm curious your experience, especially not being n SF full-time and doing something that is maybe, you know, a very low level of detail and technical detail.Simon Hørup Eskildsen: Yeah. So joining versus starting, I never thought that I would be a founder. I would start with it, like Turbo Puffer started as a blog post, and then it became a project and then sort of almost accidentally became a company. And now it feels like it's, it's like becoming a bigger company. That was never the intention.The intentions were very pure. It's just like, why hasn't anyone done this? And it's like, I wanna be the, like, I wanna be the first person to do it. I think some founders have this, like, I could never work for anyone else. I, I really don't feel that way. Like, it's just like, I wanna see this happen. And I wanna see it happen with some people that I really enjoy working with and I wanna have fun doing it and this, this, this has all felt very natural on that, on that sense.So it was never a like join versus versus versus found. It was just dis found me at the right moment.Alessio: Well I think there's an argument for, you should have joined Cursor, right? So I'm curious like how you evaluate it. Okay, I should actually go raise money and make this a company versus like, this is like a company that is like growing like crazy.It's like an interesting technical problem. I should just build it within Cursor and then they don't have to encrypt all this stuff. They don't have to obfuscate things. Like was that on your mind at all orSimon Hørup Eskildsen: before taking the, the small check from Lockie, I did have like a hard like look at myself in the mirror of like, okay, do I really want to do this?And because if I take the money, I really have to do it right. And so the way I almost think about it's like you kind of need to ha like you kind of need to be like fucked up enough to want to go all the way. And that was the conversation where I was like, okay, this is gonna be part of my life's journey to build this company and do it in the best way that I possibly can't.Because if I ask people to join me, ask people to get on the cap table, then I have an ultimate responsibility to give it everything. And I don't, I think some people, it doesn't occur to me that everyone takes it that seriously. And maybe I take it too seriously, I don't know. But that was like a very intentional moment.And so then it was very clear like, okay, I'm gonna do this and I'm gonna give it everything.Alessio: A lot of people don't take it this seriously. But,swyx: uh, let's talk about, you have this concept of the P 99 engineer. Uh, people are 10 x saying, everyone's saying, you know, uh, maybe engineers are out of a job. I don't know.But you definitely see a P 99 engineer, and I just want you to talk about it.Simon Hørup Eskildsen: Yeah, so the P 99 engineer was just a term that we started using internally to talk about candidates and talk about how we wanted to build the company. And you know, like everyone else is, like we want a talent dense company.And I think that's almost become trite at this point. What I credit the cursor founders a lot with is that they just arrived there from first principles of like, we just need a talent dense, um, talent dense team. And I think I've seen some teams that weren't talent dense and like seemed a counterfactual run, which if you've run in been in a large company, you will just see that like it's just logically will happen at a large company.Um, and so that was super important to me and Justine and it's very difficult to maintain. And so we just needed, we needed wording for it. And so I have a document called Traits of the P 99 Engineer, and it's a bullet point list. And I look at that list after every single interview that I do, and in every single recap that we do and every recap we end with.End with, um, some version of I'm gonna reject this candidate completely regardless of what the discourse was, because I wanna see people fight for this person because the default should not be, we're gonna hire this person. The default should be, we're definitely not hiring this person. And you know, if everyone was like, ah, maybe throw a punch, then this is not the right.swyx: Do, do you operate, like if there's one cha there must have at least one champion who's like, yes, I will put my career on, on, on the line for this. You know,Simon Hørup Eskildsen: I think career on the line,swyx: maybe a chair, butSimon Hørup Eskildsen: yeah. You know, like, um, I would say so someone needs to like, have both fists up and be like, I'd fight.Right? Yeah. Yeah. And if one person said, then, okay, let's do it. Right?swyx: Yeah.Simon Hørup Eskildsen: Um. It doesn't have to be absolutely everyone. Right? And like the interviews are always the sign that you're checking for different attributes. And if someone is like knocking it outta the park in every single attribute, that's, that's fairly rare.Um, but that's really important. And so the traits of the P 99 engineer, there's lots of them. There's also the traits of the p like triple nine engineer and the quadruple nine engineer. This is like, it's a long list.swyx: Okay.Simon Hørup Eskildsen: Um, I'll give you some samples, right. Of what we, what we look for. I think that the P 99 engineer has some history of having bent, like their trajectory or something to their will.Right? Some moment where it was just, they just, you know, made the computer do what it needed to do. There's something like that, and it will, it will occur to have them at some point in their career. And, uh. Hopefully multiple times. Right.swyx: Gimme an example of one of your engineers that like,Simon Hørup Eskildsen: I'll give an eng.Uh, so we, we, we launched this thing called A and NV three. Um, we could, we're also, we're working on V four and V five right now, but a and NV three can search a hundred billion vectors with a P 50 of around 40 milliseconds and a p 99 of 200 milliseconds. Um, maybe other people have done this, I'm sure Google and others have done this, but, uh, we haven't seen anyone, um, at least not in like a public consumable SaaS that can do this.And that was an engineer, the chief architect of Turbo Puffer, Nathan, um, who more or less just bent this, the software was not capable of this and he just made it capable for a very particular workload in like a, you know, six to eight week period with the help of a lot of the team. Right. It's been, been, there's numerous of examples of that, like at, at turbo puff, but that's like really bending the software and X 86 to your will.It was incredible to watch. Um. You wanna see some moments like that?swyx: Isn't that triple nine?Simon Hørup Eskildsen: Um, I think Nathan, what's calledAlessio: group nine, that was only nine. I feel like this is too high forSimon Hørup Eskildsen: Nathan. Nathan is, uh, Nathan is like, yeah, there's a lot of nines. Okay. After that p So I think that's one trait. I think another trait is that, uh, the P 99 spends a lot of time looking at maps.Generally it's their preferred ux. They just love looking at maps. You ever seen someone who just like, sits on their phone and just like, scrolls around on a map? Or did you not look at maps A lot? You guys don't look atswyx: maps? I guess I'm not feeling there. I don't know, butSimon Hørup Eskildsen: you just dis What about trains?Do you like trains?swyx: Uh, I mean they, not enough. Okay. This is just like weapon nice. Autism is what I call it. Like, like,Simon Hørup Eskildsen: um, I love looking at maps, like, it's like my preferred UX and just like I, you know, I likeswyx: lotsAlessio: of, of like random places, soswyx: like,youswyx: know.Alessio: Yes. Okay. There you go. So instead of like random places, like how do you explore the maps?Simon Hørup Eskildsen: No, it's, it's just a joke.swyx: It's autism laugh. It's like you are just obsessed by something and you like studying a thing.Simon Hørup Eskildsen: The origin of this was that at some point I read an interview with some IOI gold medalistswyx: Uhhuh,Simon Hørup Eskildsen: and it's like, what do you do in your spare time? I was just like, I like looking at maps.I was like, I feel so seen. Like, I just like love, like swirling out. I was like, oh, Canada is so big. Where's Baffin Island? I don't know. I love it. Yeah. Um, anyway, so the traits of P 99, P 99 is obsessive, right? Like, there's just like, you'll, you'll find traits of that we do an interview at, at, at, at turbo puffer or like multiple interviews that just try to screen for some of these things.Um, so. There's lots of others, but these are the kinds of traits that we look for.swyx: I'll tell you, uh, some people listen for like some of my dere stuff. Uh, I do think about derel as maps. Um, you draw a map for people, uh, maps show you the, uh, what is commonly agreed to be the geographical features of what a boundary is.And it shows also shows you what is not doing. And I, I think a lot of like developer tools, companies try to tell you they can do everything, but like, let's, let's be real. Like you, your, your three landmarks are here, everyone comes here, then here, then here, and you draw a map and, and then you draw a journey through the map.And like that. To me, that's what developer relations looks like. So I do think about things that way.Simon Hørup Eskildsen: I think the P 99 thinks in offs, right? The P 99 is very clear about, you know, hey, turbo puffer, you can't run a high transaction workload on turbo puffer, right? It's like the right latency is a hundred milliseconds.That's a clear trade off. I think the P 99 is very good at articulating the trade offs in every decision. Um. Which is exactly what the map is in your case, right?swyx: Uh, yeah, yeah. My, my, my world. My world.Alessio: How, how do you reconcile some of these things when you're saying you bend the will the computer versus like the trade

Every has unveiled a new product, built by CEO Dan Shipper. It's called Proof, a free, open-source, live collaborative document editor built for humans and AI agents to work in together. Proof started as a Mac app designed to show the provenance of AI-written text—purple for AI, green for human. But when Shipper rebuilt it as a web app with real-time collaboration, something clicked. Suddenly, everyone at Every was using it for everything from planning docs, to creative writing and even daily to-do lists. The team realized they needed a lightweight space where their OpenClaw agents and humans could co-author documents and leave comments. In this special episode, Shipper is joined by Every chief operating officer Brandon Gell, Cora general manager Kieran Klaassen, and head of growth Austin Tedesco to demo Proof live and share how it's changed the way they work. Brandon walks through a loop where his Codex agent writes a plan, Dan's personal Claw R2-C2 reviews it, and the humans just steer. Austin explains how he uses Proof to write a weekly food newsletter, texting ideas to his Claw on runs and watching an outline take shape. And Kieran makes the case that Proof's power is its lightness—just a link you can hand to any agent or colleague.The conversation covers what "agent native" means in practice, why AX (agent experience) matters as much as UX (user experience), what happens when 10 agents edit one document at the same time, and why some writing is now better read by an AI than a human.If you found this episode interesting, please like, subscribe, comment, and share!Want even more?Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It's usually only for paying subscribers, but you can get it here for free.To hear more from Dan Shipper:Subscribe to Every: https://every.to/subscribeFollow him on X: https://twitter.com/danshipperGet started building today at framer.com/dan for 30% OFF a Framer Pro annual plan.Download Grammarly for free at Grammarly.comTimestamps 00:02:00 — Introduction and the origin story of Proof00:07:24 — From Mac app to collaborative web editor00:09:00 — What makes Proof “agent native”00:14:30 — Live demo: watching an agent join and write inside a shared document00:20:51 — How Austin uses Proof for creative writing and food journalism00:24:30 — The challenge of multiple agents editing one document simultaneously00:26:48 — When AI-written docs are better read by agents than by humans00:29:30 — Brandon's agent-to-agent collaboration loop00:37:09 — Proof as a lightweight scratchpad vs. existing tools like Notion and GitHub00:42:18 — Why Proof is open source and what that means for buildersLinks to resources mentioned in the episode:Proof Editor: https://proofeditor.aiProof GitHub repo (open source): https://github.com/EveryInc/proofEvery's compound engineering plugin: https://github.com/EveryInc/compound-engineering-plugin

Seth Levine is a long-time venture capitalist, entrepreneur, and nationally bestselling author. Seth is a co-founder and partner at Foundry, a Boulder-based venture capital firm with nearly $4 billion in assets under management. He's also the co-founder and Chief Strategy Officer of GoodBread, a small business lending platform, and a deeply committed advocate for entrepreneurs building companies outside the traditional spotlight. Seth is also the co-author of The New Builders and Capital Evolution. Seth joined host Robert Glazer on the Elevate Podcast to discuss his journey as a venture capitalist, entrepreneur, and nationally bestselling author. Thank you to the sponsors of The Elevate Podcast Shopify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠shopify.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Masterclass: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠masterclass.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Framer: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠framer.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Northwest Registered Agent: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠northwestregisteredagent.com/elevatefree⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Shipstation: ⁠⁠shipstation.com/elevate⁠ Indeed: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠indeed.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vanguard: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠vanguard.com/audio⁠⁠⁠⁠ Notion: ⁠⁠⁠⁠notion.com/elevate Learn more about your ad choices. Visit megaphone.fm/adchoices

Some people use rocks to level a wobbly table, but Louise Brogan uses them to travel back in time. In this episode of Punch Out with Katie and Kerry, we talk with Louise Brogan about her passion for megalithic standing stones, portal tombs, and dolmens. From trekking through muddy farmers' fields in Northern Ireland to dodging curious "Gen Z" cows, Louise shares how she turned a curiosity about 6,000-year-old structures into a dedicated hobby and a budding YouTube channel. In this episode we learned: The difference between monolithic and megalithic stones (and why 4,000-year-old "clocks" are so fascinating). Why Louise carries a yellow waterproof jacket and wears specific "wellie-adjacent" shoes for her adventures. The terrifying reality of cow-dodging while trying to film ancient burial grounds on private farmland. Why Newgrange is the ultimate "starter stone" for anyone looking to get into megalithic tourism. Want to know more about Louise? You can find her at: LinkedIn: https://www.linkedin.com/in/louisebrogan/ Instagram: @StandingStonesOfIreland YouTube: Louise Brogan (Search for her megalithic adventures!)   This episode is sponsored by  Chloë Forbes-Kindlen. Chloë helps teams like yours build and manage their business operating system in Notion.   Punch Out with Katie and Kerry is the show that dives deeper into topics you care about. We don't ask the questions everyone else does. We get to the real insights (and the weird hobbies, the guilty pleasures, the secret side hustles...the good stuff)! We find out what really makes your favorite folks tick. Punch out with Katie and Kerry! Have a cool hobby or side interest you want to talk about on Punch Out with Katie and Kerry Let us know:  Website: www.punchoutwithus.com Email: punchoutwithus@gmail.com Hosts: Kerry O'Shea Gorgone (@KerryGorgone) & Katie Robbert (@katierobbert)

By day, Liz Kit is a senior marketing and communications manager in the corporate software world. But when the work day ends, she steps into the spotlight as "Leeza," a professional belly dancer. In this episode of Punch Out with Katie and Kerry, we explore how Liz's childhood fascination with Middle Eastern cultures — inspired by her father's career — blossomed into a lifelong passion for dance. We discuss the unexpected parallels between performing in a crowded restaurant and navigating a high-stakes executive meeting, and why you should never run your silk veil through a customer's hummus. In this episode we learned: Why Liz performs under the name Leeza (and the cultural etiquette behind choosing a stage name). The reality of being a professional belly dancer, from performing at baby showers to Greek restaurants. How belly dancing builds "confidence under scrutiny," a skill that is surprisingly useful when presenting to top executives. The "Rule of Two" for beginners: 1. Have fun, and 2. Don't fall down. Why spatial awareness (and depth perception) is the difference between a graceful performance and accidentally kicking a toddler. Want to know more about Liz? You can find her at: LinkedIn: https://www.linkedin.com/in/elizabethmkit/ Instagram: @leeza_bellydance Focus Areas: Corporate Communications, Growth Storytelling, and Cultural Art.   This episode is sponsored by  Chloë Forbes-Kindlen. Chloë helps teams like yours build and manage their business operating system in Notion. Head to businessops.co/punchout to access your free starter kit.   Punch Out with Katie and Kerry is the show that dives deeper into topics you care about. We don't ask the questions everyone else does. We get to the real insights (and the weird hobbies, the guilty pleasures, the secret side hustles...the good stuff)! We find out what really makes your favorite folks tick. Punch out with Katie and Kerry! Have a cool hobby or side interest you want to talk about on Punch Out with Katie and Kerry Let us know:  Website: www.punchoutwithus.com Email: punchoutwithus@gmail.com Hosts: Kerry O'Shea Gorgone (@KerryGorgone) & Katie Robbert (@katierobbert)

By day, Kristin Sundin Brandt is the President and Owner of Sundin Marketing, a communications pro, and a working mom. But on the trails and roads of New England, she's an amateur athlete with a collection of seven (and counting) bicycles. In this episode of Punch Out with Katie and Kerry, we talk with Kristin about her love of mountain biking, the "no-pedal" bike mystery, and why she firmly believes that falling off your bike is the best way to keep your mind flexible as you get older. In this episode we learned: Why Kristin owns seven different bikes and how each one serves a unique purpose (from gravel to fat-tire winter riding). The mystery of the "pedal-less" bike and why high-end bikes often come without them. What Zwift is and how it turns a sweaty indoor bike session into a massive multiplayer video game. Why padded shorts are a cyclist's best friend—and why you should never wear underwear beneath them. The philosophy of the "intentional crash" to stay "bendy" and resilient as you age. Why tandem bikes are known as "divorce machines" (and why Kristin steered clear after one try). Want to know more about Kristin? You can find her at: LinkedIn: https://www.linkedin.com/in/kristinsb/ Professional Topics: Marketing, Financial Services, and Communications Strategy. Community: Keep an eye out for her work with women's mountain bike series in the summer!   This episode is sponsored by  Chloë Forbes-Kindlen. Chloë helps teams like yours build and manage their business operating system in Notion. Head to businessops.co/punchout to access your free starter kit.   Punch Out with Katie and Kerry is the show that dives deeper into topics you care about. We don't ask the questions everyone else does. We get to the real insights (and the weird hobbies, the guilty pleasures, the secret side hustles...the good stuff)! We find out what really makes your favorite folks tick. Punch out with Katie and Kerry! Have a cool hobby or side interest you want to talk about on Punch Out with Katie and Kerry Let us know:  Website: www.punchoutwithus.com Email: punchoutwithus@gmail.com Hosts: Kerry O'Shea Gorgone (@KerryGorgone) & Katie Robbert (@katierobbert)

Brian Piper is an author, keynote speaker, and the Director of Content Strategy and Assessment at the University of Rochester. But he's also a man who's spent decades jumping out of perfectly good airplanes. In this episode of Punch Out with Katie and Kerry, we talk with Brian about his 3,000+ skydive career, the terrifying reality of "proximity flying," and why his first wedding involved a formation of four Elvis impersonators in freefall. In this episode we learned: Why Brian originally said "absolutely not" to jumping out of planes until the Army offered him an extra $100 a month in hazard pay. The difference between round and square parachutes (and why one feels like hitting a wall while the other lets you stand up). What it's like to have a "Liza Minnelli" moment (a student panicking) while strapped to someone in a tandem jump. The reality of "proximity flying" and why Brian draws the line at a 25% mortality rate. Why tandem jumps are the ultimate bonding experience—and why the small talk inside the plane is the most awkward part. The story of the "Flying Elvises" at Brian's first wedding. Want to know more about Brian? You can find him at: Website: BrianWPiper.com LinkedIn: https://www.linkedin.com/in/brianwpiper/ Focus Areas: Content Strategy, Data Analytics, and High-Altitude Adventure. This episode is sponsored by  Chloë Forbes-Kindlen. Chloë helps teams like yours build and manage their business operating system in Notion. Head to businessops.co/punchout to access your free starter kit. Punch Out with Katie and Kerry is the show that dives deeper into topics you care about. We don't ask the questions everyone else does. We get to the real insights (and the weird hobbies, the guilty pleasures, the secret side hustles...the good stuff)! We find out what really makes your favorite folks tick. Punch out with Katie and Kerry! Have a cool hobby or side interest you want to talk about on Punch Out with Katie and Kerry Let us know:  Website: www.punchoutwithus.com Email: punchoutwithus@gmail.com Hosts: Kerry O'Shea Gorgone (@KerryGorgone) & Katie Robbert (@katierobbert)

By day, Ashley Faus is the Head of Lifecycle Marketing Portfolio at Atlassian. By night (and weekend), she's a kiteboarder, musical theater performer, and survivor of some truly epic wardrobe malfunctions. In this episode of Punch Out with Katie and Kerry, we talk with Ashley about the steep learning curve of kiteboarding, why "punching out" is a life-saving skill on the water, and her "almost" Broadway career that led her to the world of marketing. In this episode we learned: What a "dry hair session" is in kiteboarding and why it's the ultimate status symbol (or a sign of being too safe). Why kiteboarding is essentially intentional waterboarding for the first few months of learning. The "Show Must Go On" reality of having a 7-foot zipper fail in the middle of a musical theater performance. How to handle a "loose bustle" on stage when it starts looking like a dead animal following you around. Why Ashley prefers a "changing poncho" (a cross between a nun's habit and a muumuu) as the ultimate beach-adjacent compromise. Want to know more about Ashley? You can find her at: LinkedIn: https://www.linkedin.com/in/ashleyfaus/ Professional Topics: Marketing Strategy, Thought Leadership, and Content Distribution. Easter Eggs: Keep an eye out for the occasional kiteboarding video or theater update in her feed! This episode is sponsored by  Chloë Forbes-Kindlen. Chloë helps teams like yours build and manage their business operating system in Notion. Head to businessops.co/punchout to access your free starter kit. Punch Out with Katie and Kerry is the show that dives deeper into topics you care about. We don't ask the questions everyone else does. We get to the real insights (and the weird hobbies, the guilty pleasures, the secret side hustles...the good stuff)! We find out what really makes your favorite folks tick. Punch out with Katie and Kerry! Have a cool hobby or side interest you want to talk about on Punch Out with Katie and Kerry Let us know:  Website: www.punchoutwithus.com Email: punchoutwithus@gmail.com Hosts: Kerry O'Shea Gorgone (@KerryGorgone) & Katie Robbert (@katierobbert)

Stop triggering basic AI workflows and start deploying autonomous sales agents that generate real revenue 24/7. AI Operator founder Tim Cakir reveals how to build a fully automated AI sales team—including an SDR, Account Executive, and CRO—using Claude Code and Notion. Learn how to manage your AI workforce directly in Slack and let AI handle the tedious admin work, freeing you up to focus on high-level strategy and human connection. TIMESTAMP00:00 Introduction: AI Agents vs. Workflows01:00 Getting Started with AI Sales Systems02:00 Using Claude Code in the Terminal04:00 Why Prompt Engineering is Dead05:30 Using AI Plan Mode for Better Results07:00 Building an AI CRM in Notion09:00 Creating Autonomous AI Sales Teams11:00 Managing Your AI Workforce in Slack13:00 Organizing AI Projects Using Folders15:00 Managing AI Productivity and Avoiding Burnout17:00 Syncing AI Projects with GitHub19:00 Creating SOPs and Customizing AI Context21:00 The Future of Work: Voice Interfaces and AR Glasses23:00 AI Project Management in Notion25:00 Will AI Make Us More Human?27:00 How to Keep Up With AI Trends

Переезд в другую страну часто выглядит как выбор между «по зову сердца» и «по таблице в Notion», но на практике успешная релокация почти всегда требует и того, и другого. Это не только выбор визы и билетов, но и большой жизненный проект, требующий принятия десятков решений. В этом выпуске вместе с Василием Юренковым – создателем проекта Greener Relocation, мы обсудили, как понять свои реальные критерии выбора нового места и о чём важно подумать заранее. А ещё поговорили о том, как составить реалистичный роадмап релокации, рассчитать бюджет и не сломаться в процессе, когда заканчиваются силы, расходятся ожидания и растёт стресс. Также ждем вас, ваши лайки, репосты и комменты в мессенджерах и соцсетях!
 Telegram-чат: https://t.me/podlodka Telegram-канал: https://t.me/podlodkanews Страница в Facebook: www.facebook.com/podlodkacast/ Twitter-аккаунт: https://twitter.com/PodcastPodlodka Ведущие в выпуске: Аня Симонова, Андрей Смирнов Полезные ссылки: LinkedIn Василия Юренкова https://www.linkedin.com/in/vyurenkov Telegram-канал Greener Relocation https://t.me/greener_relocation Телеграм-бот Greener Relocation https://t.me/greener_relocation_bot Instagram* Greener Relocation https://www.instagram.com/greener.relocation *Признан экстремистской организацией и запрещен на территории РФ.

Thinking about using Notion to run your social media management business? Watch this review first.I tested Notion for two months inside my own workflow to see if it could replace my task manager, planning system, and content calendar. And while it's one of the most powerful free productivity tools online, there are a few limitations social media managers don't talk about enough.In this video, I'm breaking down my honest review of Notion after using it with real client work. We'll cover the free plan, the steep learning curve, why templates completely change the experience, and the biggest reason Notion might not be the all-in-one solution social media managers are looking for.Because when you're managing client work, your systems matter. The fewer tabs, tools, and workflows you need to juggle, the easier it is to execute consistently.

#174 In this episode, we sit down with Alexis Fernandez-Preiksa to dive into the science behind rewiring your brain and building habits that actually last. We break down the brain in simple, practical terms so you can better understand why you self-sabotage, struggle with consistency, or fall into comparison cycles.We talk about identity shifts, confidence, emotional regulation, and how small changes in your thinking and behaviour can completely reshape the life you create. If you've ever felt stuck in the same patterns or wondered how to truly change your mindset, this conversation will give you the tools to start thinking — and living — differently.Raw Reality https://rawreality.com.au/2026 Notion template https://rawreality.com.au/products/life-upgrade-system-notion-templateFind us below:@rawreallity https://www.instagram.com/rawreallity?igsh=cjZlMzZsM2lva3hw@ttorisstory https://www.instagram.com/ttorisstory/@fitwithlilyy https://www.instagram.com/fitwithlilyy/Community Facebook group https://www.facebook.com/share/v3sbEonnywyvp1h7/

On a new episode of Weekend Conversations on the Elevate Podcast, host Robert Glazer and producer Mick Sloan discuss the concept of flip-flopping. While this practice is often derided, especially in politics, Robert and Mick break down why changing your mind is often a good think, as long as that change is messaged with principles and transparency. ⁠Read the post discussed in this episode: Flip Flopper (#526)⁠ Thank you to the sponsors of The Elevate Podcast Shopify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠shopify.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Masterclass: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠masterclass.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Framer: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠framer.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Northwest Registered Agent: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠northwestregisteredagent.com/elevatefree⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Indeed: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠indeed.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vanguard: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠vanguard.com/audio⁠⁠⁠ Notion: ⁠⁠⁠notion.com/elevate Learn more about your ad choices. Visit megaphone.fm/adchoices

Lucas - ex-Spendesk - est le cofondateur d'Hyperline : une plateforme qui gère devis, contrat et jusqu'à la facture en s'intégrant aux solutions de paiement et de compta. Hyperline est née en 2022, et ils ont levé rapidement près de 15M$ auprès d'Index Ventures, l'un des tous meilleurs fonds de la planète (Revolut, Notion, Deliveroo)Chez Hyperline, les US accélèrent très fort, Lucas ira bientôt poser ses valises là bas, pour autant tu vas voir il est tout sauf fan du 9-9-6, pas fan non plus du mode start-up “no shoes”… où les salariés bossent en chaussettes

Mark Matson⁠ is an American entrepreneur, financial educator and the founder & CEO of Matson Money, an investment advisory firm managing over $11 billion in assets for more than 35,000 families across the country. Mark is known for making Nobel Prize-winning investing research accessible to everyday investors. He is the author of several books, including the new Experiencing the American Dream: How to Invest Your Time, Energy, and Money to Create an Extraordinary Life. He's also an innovator in financial education – the creator of the “American Dream Experience” workshop – and even a producer of award-winning financial documentaries. Mark joined host Robert Glazer on the Elevate Podcast to talk share his extraordinary story, talk about how he transformed his money mindset, and leadership lessons from building a top financial business. Thank you to the sponsors of The Elevate Podcast Shopify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠shopify.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Masterclass: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠masterclass.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Framer: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠framer.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Northwest Registered Agent: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠northwestregisteredagent.com/elevatefree⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Indeed: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠indeed.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vanguard: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠vanguard.com/audio⁠⁠⁠⁠ Notion: ⁠⁠⁠⁠notion.com/elevate Learn more about your ad choices. Visit megaphone.fm/adchoices

Free SEO Audit HereClutch Glue Annabel Hay went from billion-dollar construction sites to inventing a globally patented fashion adhesive that actually works. In this episode of eCommerce Australia, the founder of Clutch Glue reveals how one viral TikTok sold out her entire inventory in 24 hours.We dive deep into the "unsexy" side of innovation, from cold-emailing university PhDs to find a chemical formulator, to managing global logistics from a Bondi share house. Annabel shares her "turbo" approach to decision-making, why she gave 15% of her company to her sister, and her upcoming move to conquer the New York market.In this episode, you'll learn:The "Fateful Flash": The wardrobe malfunction that sparked a 4-year R&D journey.Lean Scaling: How to run a global brand using Notion, Cin7, and Keeyu.The Viral Blueprint: Why low-fi, functional content beats "aesthetic" branding on TikTok.Bootstrapping vs. Investors: Why Annabel chose to fund her own growth while working full-time.

Spent hours testing AI models? ⏳Same. Openclaw setup still broken, heartbeat still dead? ☠️Yep, been there. Perplexity's new agentic tool called Computer might've finally solved it. With no technical knowledge and a simple prompt, you can have agent swarms actually working for you and getting stuff done. Did we finally arrive in AI agent nirvana? Probably not. Because as impressive as it is, there's one big caveat that will likely stop it dead in its tracks. Perplexity Computer: What it is, How to use it and is it better than OpenClaw? — An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Perplexity Computer Hands-On Demo & ReviewPerplexity Computer vs. OpenClaw ComparisonPerplexity Computer's Multi-Model Agentic SwarmsAdvanced Workflow Automation With Perplexity ComputerAI Model Auto-Routing and Task ChainingData Integration: Gmail, Slack, Notion, Google DrivePerplexity Computer's Price, Credits, and Value LimitationsBest Use Cases: Perplexity Computer vs. OpenClawCreating Animated Data Visualizations with PerplexityTimestamps:00:00 "Perplexity Computer Overview"03:08 AI Demos: Perplexity vs Big Four07:19 "Complex Queries with AI Tools"12:38 "Perplexity AI vs Open Claw"13:59 "AI Visual Analysis Overview"17:11 "AI Tools for Task Optimization"20:20 "Comparing Top AI Tools"24:51 "Perplexity vs. OpenClaw Comparison"27:18 Perplexity vs OpenClaw: Key Differences31:34 Daily AI Insights Workflow34:54 "Impressive AI Task Management"37:20 AI Tool Comparison and Limitations40:02 "Limited Value for High Price"Keywords: Perplexity Computer, Perplexity AI, Perplexity Computer features, Perplexity Computer vs OpenClaw, OpenClaw, AISend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

In this episode of Possible, Reid and Aria talk with Ivan Zhao, co-founder of Notion, about what happens when intelligence becomes abundant rather than scarce. Zhao shares his philosophy of treating computing as a material — like steel or steam — and why organizations must be built for human scale in an AI-driven world. From Renaissance cities to Xerox PARC, the conversation traces a shift from productivity software to cognitive infrastructure, and arrives at a clear conclusion: in an AI-powered future, human judgment, taste, and values matter most. For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/

Cette semaine dans tech 45', tu vas faire la connaissance de Lucas, ex-Spendesk et cofondateur et CEO d'Hyperline : une plateforme qui gère devis, contrats et jusqu'à la facture en s'intégrant aux solutions de paiement et de compta. Hyperline est née en 2022, et ils ont levé près de 15M$ notamment auprès d'Index Ventures, l'un des tous meilleurs fonds qui a déjà accompagné Revolut, Notion ou Deliveroo, oui ils ont le nez creux !Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

#174 The first episode of Lily's Bodybuilding Series takes you behind the scenes of what it truly takes to compete. Lily shares her personal journey into bodybuilding — the highs, the lows, and everything in between. Nothing is off limits as she dives into the realities of prep, from nutrition and how low calories really get, to comparison, body image, and the true cost of stepping on stage. This is episode one of a four-part series we know you're going to love.Raw Reality https://rawreality.com.au/ (https://rawreality.com.au/)2026 Notion template https://rawreality.com.au/products/life-upgrade-system-notion-template (https://subscribepage.io/d3KHtR)Find us below:@rawreallity https://www.instagram.com/rawreallity?igsh=cjZlMzZsM2lva3hw (https://www.instagram.com/rawreallity?igsh=cjZlMzZsM2lva3hw)@ttorisstory https://www.instagram.com/ttorisstory/ (https://www.instagram.com/ttorisstory/)@fitwithlilyy https://www.instagram.com/fitwithlilyy/ (https://www.instagram.com/fitwithlilyy/)Community Facebook group https://www.facebook.com/share/v3sbEonnywyvp1h7/ (https://www.facebook.com/share/v3sbEonnywyvp1h7/)

Mike Brcic is an entrepreneur, adventurer, and community-builder. He is the founder of Wayfinders, an organization that helps high-performing entrepreneurs and leaders find greater meaning, connection, and happiness through curated adventures and experiences. Mike previously founded Sacred Rides, which he built into the "#1 Mountain Bike Tour Company on Earth" according to National Geographic Adventure. His personal journey through entrepreneurial success, depression, and the search for deeper fulfillment informs his current mission: helping people find their own path to joy and purpose. Mike Brcic joined host Robert Glazer on the Elevate Podcast to discuss finding meaning beyond success, his personal journey through entrepreneurial success, depression, and the search for deeper fulfillment informs his current mission: helping people find their own path to joy and purpose. Thank you to the sponsors of The Elevate Podcast Shopify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠shopify.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Masterclass: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠masterclass.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Framer: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠framer.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Northwest Registered Agent: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠northwestregisteredagent.com/elevatefree⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Indeed: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠indeed.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vanguard: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠vanguard.com/audio⁠⁠⁠ Notion: ⁠⁠⁠notion.com/elevate Learn more about your ad choices. Visit megaphone.fm/adchoices

What happens when AI moves from a standalone tool to a teammate that works inside the flow of your organization? In this episode, I'm joined by Mick Hodgins, General Manager for EMEA at Notion, to explore how the idea of a connected AI workspace is reshaping the way teams collaborate, make decisions, and measure productivity. With a career that includes more than a decade at Google scaling growth across multiple countries, Mick brings a unique perspective on what it takes to build technology businesses across diverse markets and why this moment in AI feels fundamentally different from previous waves of innovation. We talk about Notion's journey from a flexible, block-based collaboration platform to an AI-native workspace where context is the real differentiator. Mick explains why AI performs better when it understands how work actually happens, and how embedding agents directly into shared workflows allows teams to move from prompting tools to orchestrating outcomes. From automated reporting and knowledge management to self-improving agent loops that learn from their own performance, the conversation brings to life how organizations are already using AI to remove the "work around the work" and focus on higher-value thinking. A major theme throughout the discussion is return on investment. In a world where many companies are still stuck in pilot mode, Mick shares how leaders can reframe ROI around productivity, speed, and the elimination of repetitive tasks rather than treating AI as a single project with a fixed payback period. We also explore how roles, org structures, and hiring priorities are beginning to shift as agents become extensions of team capability rather than experimental add-ons. Because Mick leads the EMEA region, we also dive into the differences in adoption between the US and Europe, from regulatory considerations and cultural attitudes to the growing strength of the European startup ecosystem. It's a balanced view that recognizes both the caution and the creativity emerging across the region. This is ultimately a conversation about friction. What happens to an organization when coordination overhead disappears, when reporting builds itself, and when knowledge stays current without human intervention? So as AI agents move from novelty to infrastructure, are businesses ready to redesign how work gets done, and what becomes possible when teams stop managing tasks and start compounding impact?

I sit down with Cody Schneider, growth engineer and co-founder of Graph, for a live, hands-on crash course in GTM (go-to-market) engineering powered by Claude Code. Cody walks through how he runs multiple AI agents simultaneously to handle everything from bulk Facebook ad creation and LinkedIn outreach to cold email campaigns and live data analysis — tasks that used to require a team of dozens. By the end of the episode, you'll have a full understanding of how to set up your own agent workflow, the specific tools involved, and why domain expertise paired with AI is the real competitive advantage right now. Cody's GTM Toolkit: AI/Agent Tools: Claude Code, Perplexity API, OpenAI Codex Marketing & Outreach: Instantly AI (cold email), Phantom Buster (LinkedIn scraping/automation), Apollo API (data enrichment), Million Verifier (email verification), Raphonic (podcast host scraping): Advertising: Facebook Ads API, Facebook Ads Library (competitor research), Nano Banana Pro (AI image generation), Kai AI (bulk image generation), HeyGen API (UGC/video generation) Infrastructure & Deployment: Railway.com (servers, on-the-fly databases/Postgres), Vercel (deployment) Data & Analytics: Graphed / Graphed MCP (data warehouse, live data feeds), Google Analytics 4 CRM & Communication: Salesforce (mentioned as comparison), Intercom, SendGrid API, Slack, Cal.com API Productivity & Design: Notion, Super Whisper (voice transcription), Claude Code front-end design skill, HTML to Canvas (for converting React components to PNGs) Timestamps 00:00 – Intro 02:02 – What Is GTM Engineering? 05:12 – Setting Up Your Agent Workspace & Environment File 07:54 – Live Demo: LinkedIn Auto-Responder 09:56 – Live Demo: Bulk Facebook Ad Generator 12:31 – Live Demo: Cold Email Campaign Automation (Raphonic + Instantly) 14:47 – Live Demo: Creating Notion Documents via Claude Code 16:46 – Live Demo: Bulk Ad Creative Generator 26:05 – Live Demo: LinkedIn Engagement Scraper to Cold Email Pipeline 28:16 – Context Switching Across Tasks 29:19 – Live Demo: Bulk Ad Generator 31:41 – Live Demo: Data Analysis: Turning Off Low-Performing Ads 35:28 – Summary of GTM Engineering Workflow 37:48 – Deploying Agents and On-the-Fly Databases with Railway for Data Analysis 41:28 – The Dream of Autonomous Marketing 48:50 – Building API-First Products and Agent-Native Infrastructure Key Points GTM engineering has evolved from Clay-style data enrichment workflows into full-stack agent orchestration — where one person running multiple Claude Code agents can replace the output of a large team. The practical setup starts with a single folder containing your environment file (API keys for every tool in your stack), transcription software like Super Whisper, and Claude Code. Cody demonstrates running seven or more agents simultaneously across LinkedIn outreach, Facebook ad creation, cold email campaigns, Notion document generation, and live data dashboards. Code-generated ad creative (React components exported as PNGs) costs nearly nothing to produce at scale and allows rapid testing of messaging variations before investing in polished visuals. Deploying proven workflows to Railway turns one-off agent tasks into always-on, autonomous processes that run 24/7. Domain expertise is the real multiplier — the vocabulary you bring from your field determines the quality of output you can extract from these tools. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND CODY ON SOCIAL: Cody's startup: https://www.graphed.com/ X/Twitter: https://x.com/codyschneiderxx Youtube: https://www.youtube.com/@codyschneiderx

Jenny Wen leads design for Claude at Anthropic. Prior to this, she was Director of Design at Figma, where she led the teams behind FigJam and Slides. Before that, she was a designer at Dropbox, Square, and Shopify.—We discuss:1. Why the classic discovery → mock → iterate design process is becoming obsolete2. What a day in the life of a designer at Anthropic looks like, including her AI tool stack3. Whether AI will eventually surpass humans in taste and judgment4. Why Jenny left a director role at Figma to return to IC work at Anthropic5. The three archetypes Jenny is hiring for now6. Why chatbot interfaces may be more durable than most people expect—Brought to you by:Mercury—Radically different banking: https://mercury.com/?utm_source=lennys&utm_medium=sponsored_newsletter&utm_campaign=26q1_brand_campaignOrkes—The enterprise platform for reliable applications and agentic workflows: https://www.orkes.io/Omni—AI analytics your customers can trust: https://omni.co/lenny—Episode transcript: https://www.lennysnewsletter.com/p/the-design-process-is-dead—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Jenny Wen:• X: https://x.com/jenny_wen• LinkedIn: https://www.linkedin.com/in/jennywen• Substack: https://jennywen.substack.com• Website: https://jennywen.ca—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Jenny Wen(04:23) Why the traditional design process is dead(06:33) The two new types of design work(10:00) How widespread this shift will be(13:00) Day-to-day life as a designer at Anthropic(18:45) Jenny's AI stack(20:03) Why Figma still matters for exploration(22:25) Advice for working with engineers(24:19) How to maintain craft, quality, and trust in the AI era(27:35) Will AI ever have “taste”?(31:38) The future of chatbot interfaces(35:33) Moving from director back to IC(41:00) The 10-day build of Claude Cowork(46:06) Hiring: the three archetypes(50:44) Advice for new and senior designers(54:42) The value of “low leverage” tasks for managers(57:52) Why the best teams roast each other(01:01:45) The legibility framework(01:07:22) Lightning round and final thoughts—Referenced:• Figma: https://www.figma.com• Anthropic: https://www.anthropic.com• v0: https://v0.app• Navigating a Design Career with Jenny Wen | Figma at Waterloo: https://www.youtube.com/watch?v=OHcBPMh2ivk• Claude Cowork: https://claude.com/product/cowork• Use Claude Code in VS Code: https://code.claude.com/docs/en/vs-code• Claude Code in Slack: https://code.claude.com/docs/en/slack• Lex Fridman's website: https://lexfridman.com• Head of Claude Code: What happens after coding is solved | Boris Cherny: https://www.lennysnewsletter.com/p/head-of-claude-code-what-happens• OpenClaw: https://openclaw.ai• OpenAI's CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• Marc Andreessen: The real AI boom hasn't even started yet: https://www.lennysnewsletter.com/p/marc-andreessen-the-real-ai-boom• Socratica: https://www.socratica.info• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• Radical Candor: From theory to practice with author Kim Scott: https://www.lennysnewsletter.com/p/radical-candor-from-theory-to-practice• Evan Tana's ‘legibility matrix' on X: https://x.com/evantana/status/1927404374252269667• How to spot a top 1% startup early: https://www.lennysnewsletter.com/p/how-to-spot-a-top-1-startup-early• Palantir: https://www.palantir.com• Stripe: https://stripe.com• Linear: https://linear.app• Notion: https://www.notion.com• Julie Zhuo's website: https://www.juliezhuo.com• Sentimental Value: https://www.imdb.com/title/tt27714581• The Pitt on Prime Video: https://www.amazon.com/The-Pitt-Season-1/dp/B0DNRR8QWD• Noah Wyle: https://en.wikipedia.org/wiki/Noah_Wyle• ER on Prime Video: https://www.amazon.com/gp/video/detail/B0FWZSDYRP• Retro: https://retro.app• Granola: https://www.granola.ai—Recommended books:• Radical Candor: Be a Kick-Ass Boss Without Losing Your Humanity: https://www.amazon.com/Radical-Candor-Kick-Ass-Without-Humanity/dp/1250103509• The Power Broker: Robert Moses and the Fall of New York: https://www.amazon.com/Power-Broker-Robert-Moses-Fall/dp/0394480767• Insomniac City: New York, Oliver Sacks, and Me: https://www.amazon.com/Insomniac-City-New-York-Oliver/dp/162040494X—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Oliver drops a fresh #HeldeepRadio featuring new bangers from SOSA, Silva Bumpa & Diffrent, John Summit, Alok, SIDEPIECE & Victor Ruiz, NOTION & Redlight and many more!

In this episode of the Grow A Small Business Podcast, host Troy Trewin interviews Daniel McDonnell co-founder of Maple Movement, shares how severe gut health issues during his professional Ironman career led him to discover the power of maple syrup as a natural fuel source and launch Maple Movement. What began as a house-deposit gamble quickly evolved into a fast-growing gut-friendly energy gel brand now stocked in 125+ stores across Australia and New Zealand. Daniel opens up about bootstrapping the business, learning margins from scratch, managing rapid growth from his living room, and transitioning to a 3PL. He dives into brand positioning, organic content strategy, subscription revenue, and building a lean, aligned team. It's a raw, practical story of turning personal pain into a scalable FMCG business with purpose and momentum. Why would you wait any longer to start living the lifestyle you signed up for? Balance your health, wealth, relationships and business growth. And focus your time and energy and make the most of this year. Let's get into it by clicking here. Troy delves into our guest's startup journey, their perception of success, industry reconsideration, and the pivotal stress point during business expansion. They discuss the joys of small business growth, vital entrepreneurial habits, and strategies for team building, encompassing wins, blunders, and invaluable advice. And a snapshot of the final five Grow A Small Business Questions: What do you think is the hardest thing in growing a small business? According to Daniel McDonnell, the hardest part of growing a small business is keeping up with rapid growth before scalable systems are fully in place, especially during big sales months when demand spikes beyond operational capacity. He shared how he and his wife were packing nearly 95 orders a day from their living room while trying to maintain a personal brand touch, highlighting that the real challenge wasn't generating sales but managing growth sustainably while building the right infrastructure to support it. What's your favorite business book that has helped you the most? Daniel said his favorite business book that's helped him the most is "Built to Sell" by John Warrillow — a practical guide about structuring and scaling a business so it's not dependent on the founder and becomes sellable. He's mentioned it shaped how he thinks about systems, value creation, and building something that can run beyond him. Are there any great podcasts or online learning resources you'd recommend to help grow a small business? According to Daniel McDonnell, one podcast he highly recommends for small business growth is Chew the Fat by the Greive brothers, where they share real, relatable stories after building and exiting Realbase. He values listening to founders who have scaled and exited businesses, as their practical lessons help avoid costly mistakes. Daniel also emphasizes learning directly from experienced mentors and operators rather than figuring everything out the hard way. For him, real-world business conversations and founder-led insights have been the most impactful learning resources. What tool or resource would you recommend to grow a small business? Daniel McDonnell would point to a tool that helps you systemize and scale without chaos, and one he personally recommends is Notion — it's where he organizes products, SOPs, content calendars, order processes, and more in one place so nothing slips through the cracks. He also emphasizes tools for automating the parts of your business that don't need manual work, like Mailchimp or Klaviyo for email automation, and Shopify + a good 3PL integration to handle orders cleanly as volume grows. For analytics and ads, basic dashboards like Google Analytics and Facebook/Meta Business Suite help you make smarter decisions instead of guessing. The key, he says, isn't having every tool under the sun — it's picking the ones that actually save you time and help you standardize your processes so the business can scale. What advice would you give yourself on day one of starting out in business? According to Daniel McDonnell, on day one he would tell himself to raise far more capital than he thinks he needs, understand margins and cash flow from the start, and build scalable systems early—because growth can come fast, but without enough cash and structure, it becomes far more stressful than it needs to be. Book a 20-minute Growth Chat with Troy Trewin to see if you qualify for our upcoming course. Don't miss out on this opportunity to take your small business to new heights! Enjoyed the podcast? Please leave a review on iTunes or your preferred platform. Your feedback helps more small business owners discover our podcast and embark on their business growth journey.     Quotable quotes from our special Grow A Small Business podcast guest: Solve a real problem and the market will pull you forward - Daniel McDonnell When the team wins in their own lane the whole brand moves faster - Daniel McDonnell Build systems early because growth exposes every weakness - Daniel McDonnell      

This week we're giving you some honest tough love. If you're not in shape yet, it's probably not because you don't know what to do, it's because you're not doing it consistently. We break down the avoidance, excuses, perfectionism and victim mindset that keep you stuck, and why you don't need a new plan… you just need to execute the one you already have.We talk discipline vs laziness, minimum standards, and the identity shift that turns “trying to get in shape” into simply being someone who shows up. You're closer than you think — but only if you stop quitting.Raw Reality https://rawreality.com.au/2026 Notion template https://rawreality.com.au/products/life-upgrade-system-notion-template (https://subscribepage.io/d3KHtR)Find us below:@rawreallity https://www.instagram.com/rawreallity?igsh=cjZlMzZsM2lva3hw@ttorisstory https://www.instagram.com/ttorisstory/@fitwithlilyy https://www.instagram.com/fitwithlilyy/Community Facebook group https://www.facebook.com/share/v3sbEonnywyvp1h7/

On a new episode of Weekend Conversations on the Elevate Podcast, host Robert Glazer and producer Mick Sloan discussed Alysa Liu's gold medal winning performance at the 2026 Winter Olympics, how she navigated the pressure of the world stage, and what that says about leadership, work and life. Read the post discussed in this episode: Free Skate (#525) Thank you to the sponsors of The Elevate Podcast Shopify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠shopify.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Masterclass: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠masterclass.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Framer: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠framer.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Northwest Registered Agent: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠northwestregisteredagent.com/elevatefree⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Indeed: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠indeed.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vanguard: ⁠⁠⁠⁠⁠⁠⁠⁠⁠vanguard.com/audio⁠⁠ Notion: ⁠⁠notion.com/elevate Learn more about your ad choices. Visit megaphone.fm/adchoices

#798 What if the secret to scaling your solopreneur business was hiding in your tech stack? In this episode, host Brien Gearin sits down with Ernesto Mandowsky — founder of MDM (Million Dollar Machine) — to explore how entrepreneurs can use tools like Notion, ConvertKit, and more to streamline operations, deliver five-star client experiences, and build systems that actually support growth. Ernesto shares his journey from throwing a $35K party at 18 to transforming legacy restaurants and launching a tech integration consultancy that serves coaches, consultants, and creators. Whether you're stuck in survival mode or scaling to seven figures, this episode is full of actionable insights for turning your business into a well-oiled machine! (Original Air Date - 7/1/25) What we discuss with Ernesto: + $35K party kickstarted entrepreneurship + From Deloitte to culinary school + Helping solopreneurs scale with tech + Using Notion as a business hub + The Five Recipes business framework + Solving tech overwhelm with systems + Building a team to free up time + Using AI for podcast prep and automation + Client journey from “pop-up” to “brasserie” + Scorecard tool for business clarity Thank you, Ernesto! Check out Million Dollar Machine at ⁠YourMDM.co⁠⁠⁠⁠. Follow Ernesto on ⁠LinkedIn⁠. Watch the ⁠⁠⁠⁠⁠⁠⁠⁠⁠video podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠ of this episode! To get access to our FREE Business Training course go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/training⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠millionaireuniversity.com/sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

What actually happened to 2XKO? Rooflemonger joins MonteCristo, Thorin, and Richard Lewis for a deep dive into Riot Games' new fighter: 2XKO. We discuss its rocky launch, confusing name, use of the League of Legends IP, small roster, monetization strategy, and why expectations may have been wildly misaligned with reality... leading to layoffs. We also explore how the broader gaming industry's shift toward legacy IP affects new titles and why single‑player experiences still matter in fighting games.   Make processes faster and help your teams stay ahead with Notion! Support the show and try Custom Agents now at https://notion.com/FOURHORSEMEN   Visit https://prizepicks.onelink.me/LME0/HORSEMEN and use code HORSEMEN and get $50 in lineups when you play your first $5 lineup!   Head to https://factormeals.com/horsemen50off and use code horsemen50off to get 50 percent off and free breakfast for a year.   Control Body Odor ANYWHERE with Mando and get 20% off + free shipping with promo code HORSEMAN at https://shopmando.com Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

On a new edition of Thinking Thursdays, Elevate Podcast host Robert Glazer and producer Mick Sloan try to do the impossible: have a non-hyperbolic conversation about AI and pick apart the extreme narratives in news and culture. Robert and Mick discuss the recent developments in the space, some of the ambitious claims made by leaders in the industry, the viability of the business model, and whether it is a bubble. Thank you to the sponsors of The Elevate Podcast Shopify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠shopify.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Masterclass: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠masterclass.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Framer: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠framer.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Northwest Registered Agent: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠northwestregisteredagent.com/elevatefree⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Indeed: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠indeed.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vanguard: ⁠⁠⁠⁠⁠⁠⁠⁠vanguard.com/audio⁠ Notion: ⁠notion.com/elevate Learn more about your ad choices. Visit megaphone.fm/adchoices

Anthropic rolls out Claude Code Remote Control and Scheduled Tasks, Perplexity launches Perplexity Computer, Notion unveils Custom Agents, and suddenly every major AI player is shipping always-on, agentic workflows that look a lot like OpenClaw. This episode explores why this isn't about copying a hot project, but about the emergence of new primitives in the agent era—persistent work, multimodal orchestration, scheduled autonomy, and AI that follows you across devices. In the headlines: Anthropic's standoff with the Pentagon escalates, OpenAI's Stargate ambitions hit turbulence, and Nvidia posts another monster earnings report. Want to build with OpenClaw?LEARN MORE ABOUT CLAW CAMP: ⁠⁠⁠⁠⁠⁠⁠⁠https://campclaw.ai/⁠⁠⁠⁠⁠⁠⁠⁠Or for enterprises, check out: ⁠⁠⁠⁠⁠⁠⁠⁠https://enterpriseclaw.ai/⁠⁠⁠⁠⁠⁠⁠⁠Brought to you by:KPMG – Agentic AI is powering a potential $3 trillion productivity shift, and KPMG's new paper, Agentic AI Untangled, gives leaders a clear framework to decide whether to build, buy, or borrow—download it at ⁠⁠⁠⁠www.kpmg.us/Navigate⁠⁠⁠⁠Mercury - Modern banking for business and now personal accounts. Learn more at ⁠⁠⁠⁠⁠⁠https://mercury.com/personal-banking⁠⁠⁠⁠⁠⁠Rackspace Technology - Build, test and scale intelligent workloads faster with Rackspace AI Launchpad - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://rackspace.com/ailaunchpad⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠Optimizely Agents in Action - Join the virtual event (with me!) free March 4 - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.optimizely.com/insights/agents-in-action/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pod.link/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

Pressure doesn't just show up in courtrooms — it shows up in boardrooms, living rooms, and everyday conversations where the stakes feel high. In this episode, I'm sharing the exact framework I use to prepare witnesses before they ever take the stand so they can stay calm, clear, and confident when the heat is on. You'll learn how to slow the moment down, control the pace of any conversation, and avoid the mistakes that make people crumble under pressure. If you've ever felt flustered, defensive, or overwhelmed in a tough conversation, this episode will help you become pressure proof. Order The Next Conversation Workbook: https://www.jeffersonfisher.com/workbook Thank you to our sponsors: Cozy Earth. Upgrade Your Every Day. Get 20% off at cozyearth.com/jefferson or use code JEFFERSON at check out. Notion. Try Custom Agents now at https://notion.com/jefferson  Butcher Box. $20 off your first box and free shipping at https://butcherbox.com/jefferson  BetterHelp. Click https://betterhelp.com/jeffersonfisher for a discount on your first month of therapy. Order my new book, The Next Conversation, or listen to the full audiobook today. Like what you hear? Don't forget to subscribe and leave a 5-star review! Suggest a topic or ask a question for me to answer on the show!  Want a FREE communication tip each week? Click here to join my newsletter.  Join My School of Communication Watch my podcast on YouTube  Follow me on Instagram  Follow me on TikTok Follow me on LinkedIn Learn more about your ad choices. Visit megaphone.fm/adchoices

Jay Papasan⁠ is a bestselling author and Vice President of Strategic Content at ⁠Keller Williams Realty International⁠, the world's largest real estate company. He has co-authored multiple blockbuster business books with Gary Keller, including The ONE Thing, which hit #1 on the Wall Street Journal bestseller list, and The Millionaire Real Estate Investor, a New York Times bestseller. On this classic episode, Jay joined host Robert Glazer on the Elevate Podcast to discuss his career, leadership lessons he's learned, and how to find your ONE thing in life and leadership. Thank you to the sponsors of The Elevate Podcast Shopify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠shopify.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Masterclass: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠masterclass.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Framer: ⁠⁠⁠⁠⁠⁠⁠⁠⁠framer.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠ Northwest Registered Agent: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠northwestregisteredagent.com/elevatefree⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Indeed: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠indeed.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vanguard: ⁠⁠⁠⁠⁠⁠⁠vanguard.com/audio Notion: notion.com/elevate Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of Clover, I'm joined by Camille Ricketts, now a partner at XYZ Venture Capital and formerly a marketing leader at Tesla, First Round Capital, and Notion.Camille's career journey has been anything but linear—starting as a journalist at The Wall Street Journal, moving into communications at Tesla, where she worked directly with Elon Musk, then pioneering content marketing with First Round Review, and later scaling community-led growth at Notion. Today, she brings that breadth of experience to her work in venture capital, helping founders and startups thrive.We cover:What it's like to pivot when the path you've been working toward isn't the right fit.Lessons from building Tesla's early communications team and learning from Elon's leadership style.How Camille created the First Round Review, one of the most influential startup content platforms.What it takes to scale community and user-led storytelling at Notion.Why understanding which “stage” of company you thrive in is essential to building your career.How Camille defines success today—by helping others rise and giving credit away.Camille's story is a reminder that careers aren't ladders—they're winding, evolving journeys built on curiosity, adaptability, and purpose.Related links or mentions within the episode:Communities / Resources:Play Bigger: How Pirates, Dreamers, and Innovators Create and Dominate Markets (book)'Give Away Your Legos' and Other Commandments for Scaling Startups (article)Lean In: Women, Work, and the Will to Lead (book)Social Media / Links:Twitter/X: @CamilleRickettsLinkedIn: Camille Ricketts

Creative Strategies Senior Analyst Austin Lyons talks with TITV Host Akash Pasricha about Meta's massive six-gigawatt compute deal with AMD and what it means for the AI chip landscape. We also talk with Enterprise Reporter Kevin McLaughlin about HubSpot CEO Yamini Rangan's plan to monetize customer data accessed by third-party AI agents and Sarah Sachs, AI Lead at Notion, about the launch of custom agents and usage-based pricing. We then dive into Anthropic's 50 research projects studying rogue AI agents with reporter Rocket Drew and wrap up with Bradley Tusk, CEO of Tusk Ventures, to discuss the political and regulatory challenges facing data center build-outs.Articles discussed on this episode: https://www.theinformation.com/articles/anthropic-research-memo-shows-focus-rogue-agents-scheming-modelshttps://www.theinformation.com/articles/agent-toll-gates-software-companies-ponder-respond-ai-riskshttps://www.theinformation.com/briefings/meta-strikes-six-gigawatt-compute-deal-amdSubscribe: 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/

If you feel overwhelmed every time you open your laptop… this episode is for you. Today we're diving into digital clutter — the hidden stressor slowing down your productivity, content creation, client follow-up, and overall business growth. From too many browser tabs to unused subscriptions, scattered content ideas, messy CRMs, and incomplete workflows… digital overwhelm is costing you time, money, and momentum. As a travel agency owner building streamlined onboarding systems (and migrating platforms myself), I'm breaking down how to simplify your tools, clean up your systems, and scale smarter — without adding complexity. ✨ In This Episode, We Cover: What digital clutter actually is (and why it's killing your momentum)Signs your systems are overwhelming youHow tool overload creates decision fatigueWhy successful travel advisors use fewer, clearer systemsHow to audit your subscriptions and softwareSimplifying your content planning workflowOrganizing your content hub (Google Drive, Trello, ClickUp, Notion, etc.)Streamlining your CRM and client inquiry processTravel Joy vs. Tern (and why choosing one system matters)Building automated workflows for client follow-upCreating repeatable systems that support scalingWhy simplicity leads to more bookingsHow decluttering supports profitability and mental clarity

Ever wonder what actually happens after someone makes a big backend decision?In this episode, I'm giving you a real update on two announcements I made last month:• Hiring a professional Notion strategist to build my marketing team dashboard• Bringing Chelsea on as my fractional CMO for 2026Spoiler: I am not abandoning Airtable. But I did need a better way to coordinate a growing team without becoming the bottleneck.I'm sharing what's working, what surprised me, and how it actually feels to wake up and not have marketing on my to-do list — while everything still moves forward.If you love behind-the-scenes updates, this one's for you.Also Mentioned:Systems in Session (Now Booking for Q2)Email Like You Mean It (next live sprint: April 6-10)Ania my Notion ExpertChelsea my Fractional CMO

John 1:1-5You might like to get some copies of The Lightning-Fast Field Guide to the Bible for yourself and for others - here's a link that gets TMBH a little kickback: https://amzn.to/4pEYSS9Thanks to everyone who supports TMBH at patreon.com/thetmbhpodcastYou're the reason we can all do this together!Discuss the episode hereMusic by Jeff Foote

Does your weekly planning routine usually fall apart by Monday afternoon? If you have a graveyard of half-filled planners and abandoned Notion dashboards, please hear me: it's not YOU. You just haven't found a system that works with your ADHD brain If you've tried every app, color-coded calendar, and 27-step workflow out there but still feel overwhelmed, this video is for you. Today, we're exploring the Alastair Weekly Log: a ridiculously simple, flexible planning method that uses just one piece of paper (or a notebook page) to give you a clear snapshot of your week. This isn't about rigid time-blocking or forecasting every minute of your day. Instead, it's a simple approach that helps you visualize your capacity, manage your energy, and start scheduling a reasonable amount for a human (not a robot) In this episode, you will discover: Why complex planning systems often fail our ADHD Brains The simple "split page" setup you can do in under 5 minutes How to use the "dot method" to handle tasks when life inevitably goes off the rails Why this visual approach helps curb over-scheduling 5 specific reasons this method is a game-changer for ADHD brains Work With Me: