Podcasts about MongoDB

Play Episode Listen Later Aug 23, 2026 10:18

AI adoption has changed the standard for go-to-market execution. Seong Park, SVP of Customer Support & Services at Cursor, explains why the old model of selling certainty is giving way to curiosity, experimentation, and workflow discovery. He breaks down why the real work starts after signature, why pilots only matter if they lead to business-critical adoption, and how revenue leaders can guide customers from AI exploration to measurable impact. Seong Park is the Senior Vice President of Customer Support and Services at Cursor. His background spans pre-sales, customer success, and go-to-market leadership across companies including MongoDB, ThoughtSpot, and now Cursor. Connect with Seong: LinkedIn Listen to the full episode: The Real Sale Starts After Signature | Proving Value in AI and Consumption Models with Seong Park Hosted by five-time CRO John McMahon and Force Management Co-Founder John Kaplan, the Revenue Builders podcast goes behind the scenes with the sales leaders who have been there, done that, and seen the results. This show is brought to you by Force Management. We help companies improve sales performance, executing their growth strategy at the point of sale. Connect with Us: LinkedInYouTubeForce Management

Two banks can't agree on fourth-grade math | Alex Elliott

Talk Python To Me - Python conversations for passionate developers

Play Episode Listen Later Aug 20, 2026 63:31

Patrick McKenzie (@patio11) is joined by Alex Elliott (@alexpotato), who has spent his career in SRE and operations roles at financial firms ranging from ten-person fintechs to global investment banks, to discuss what the back office actually does all day. They cover the life cycle of a trade: execution, clearing, settlement, and the constant reconciliation between counterparties who don't quite agree on what happened. Alex recounts the Friday afternoon when twenty million shares went out to the street instead of five, and Patrick explains what happens between 4:15 and 4:30 when one bank owes another $36 million and the person who owns that process is on vacation.–Full transcript available here: https://www.complexsystemspodcast.com/two-banks-cant-agree-on-fourth-grade-math/ –Presenting Sponsors: Mercury, MongoDB & GranolaComplex Systems is presented by Mercury—radically better banking for founders. Mercury's new feature Command brings an LLM directly into your banking interface, so checking balances, finding invoices, or sending a wire is as easy as asking. Apply online in minutes at https://mercury.com/. If meetings consistently leave you with hazy action items and lost context, Granola handles the transcription so you can actually participate and gives you searchable notes afterward. Try it free at granola.ai/complexsystems with code COMPLEXSYSTEMSWhat's the point of building faster with AI if your database can't keep up? MongoDB's native data model mirrors the language LLMs already speak. Ship at the speed of AI while staying ACID compliant at Fortune 500 scale. Start building at https://mongodb.com/ai.–Links:Alex's website: https://alexpotato.com/ –Timestamps:(00:00) Intro(01:48) The life cycle of a trade(04:37) Why you don't know who you traded with(06:01) Hiding a large block trade(10:04) Information walls inside financial firms(12:49) What the middle office does: managing positions(15:41) Calendars, time zones, and other sources of gibbering madness(19:37) War story: twenty million shares out the door(22:45) Sponsors: Mercury | Granola(25:50) Ops as an iterated game(28:53) Busting trades and who has the authority(33:38) Sponsor: MongoDB(34:29) Inside the Knight Capital collapse(35:49) Agreements, obligations, and who you have to call(36:57) Reconciliation, FTP files, and the humans behind them(39:16) Deadlines, cutoffs, and the $36 million phone call(44:26) How two banks fail to agree on fourth-grade math(48:54) When the golden record goes down(51:55) Finding the one person who can sell the position(54:09) How much business do we do with Fidelity?(56:38) Prime brokerage and extending credit(01:01:03) Smart flow, dumb flow, and payment for order flow(01:02:45) Wrap

#559: 12 Things You Should (and Shouldn't) Do in AWS

Play Episode Listen Later Aug 19, 2026 67:51 Transcription Available

Your site is down. It's 3am. Is it a bug, a bill, or a breach? You can't tell yet, and everyone is watching you find out. Matt Lea has spent fifteen years being the person companies call when an outage is costing them real money per hour, and his whole argument is that everything you'd want in that moment gets decided months earlier, on ordinary afternoons, when someone chose the convenient thing. We walk his top twelve dos and don'ts in AWS - infrastructure as code, IAM roles instead of access keys, private subnets, no wildcards, no public buckets - and I push on which of them actually matter if you're one person on a small VPS. Then we get to Cloud War Games, where Matt breaks things on purpose so your team's first real incident isn't their first incident. Let's get into it. Episode sponsors Sentry Error Monitoring, Code talkpython26 Talk Python Courses Talk Python Courses Links from the show Guest Matt Lea: linkedin.com Talk Python Certificates: training.talkpython.fm/certificates Schematical: schematical.com CloudWarGames.com: cloudwargames.com Zero to Hero on AWS Security: www.oreilly.com Repo: github.com Custom Wheel Offset: customwheeloffset.com 2012 TechCrunch Disrupt Hackathon: techcrunch.com tech comics: schematical.com shhgit: github.com Zero Trust in 200ms: Implementing Identity-Per-Transaction: us.pycon.org Coolify: coolify.io returned to full GA Nov 2025: aws.amazon.com Signed URLs/cookies: docs.aws.amazon.com Cloudflare: www.cloudflare.com Bunny Shield: bunny.net Cloud War Games One: www.youtube.com Cloud War Games Two: www.youtube.com LinkedIn: linkedin.com YouTube: youtube.com KnocKnoc: knocknoc.io Watch this episode on YouTube: youtube.com Episode #559 deep-dive: talkpython.fm/559 Episode transcripts: talkpython.fm Theme Song: Developer Rap

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Charles' Take: AI Software & Chips Steal the Show

Charles Payne's Unstoppable Prosperity Podcast

Play Episode Listen Later Aug 13, 2026 5:44

Charles is joined by Tigris Financial Partners CIO Ivan Feinseth to discuss why software apps like MongoDB and Monday.com still have room to run, how chipmakers Micron and Nvidia dominate the AI tech boom, and why Twilio is cashing in on automated customer support. Learn more about your ad choices. Visit podcastchoices.com/adchoices

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LLMs and the economics of Evil, Inc., with Manish Goregaokar

Talk Python To Me - Python conversations for passionate developers

Play Episode Listen Later Aug 13, 2026 62:34

Patrick McKenzie (patio11) is joined by Manish Goregaokar, a senior software engineer and member of the Rust security response team, to discuss what LLMs do to the cost side of running a sophisticated con. They walk through a scam built for programmers: a plausible company, a few rounds of interviews, and an NDA signed via "sign in with email" that quietly hands an attacker the identity account everything else resets against. A version of it hit at least five people in the Rust community within days of Manish publishing on the subject, and Patrick describes being targeted himself by someone posing as a Bloomberg reporter who wanted him on a Zoom call with a codec problem. They also cover money mules and the three stages of laundering, the $25 million Hong Kong transfer authorized on a fully deepfaked video call, and why the only durable individual defense is refusing to trust any communication you did not initiate.–Full transcript available here: https://www.complexsystemspodcast.com/what-llms-do-to-the-economics-of-scams-with-manish-goregaokar/ –Presenting Sponsors: Mercury, MongoDB & GranolaComplex Systems is presented by Mercury—radically better banking for founders. Mercury's new feature Command brings an LLM directly into your banking interface, so checking balances, finding invoices, or sending a wire is as easy as asking. Apply online in minutes at https://mercury.com/. If meetings consistently leave you with hazy action items and lost context, Granola handles the transcription so you can actually participate and gives you searchable notes afterward. Try it free at granola.ai/complexsystems with code COMPLEXSYSTEMSWhat's the point of building faster with AI if your database can't keep up? MongoDB's native data model mirrors the language LLMs already speak. Ship at the speed of AI while staying ACID compliant at Fortune 500 scale. Start building at https://mongodb.com/ai.–Links:Manish Goregaokar's blog: https://manishearth.github.io/ Manish on X: https://x.com/ManishEarth–Timestamps:(00:00) Intro(00:27) The future of the con is already here(01:40) Scams are run like businesses(03:30) A scam aimed at programmers(05:12) Why single sign-on is the one ring to rule them all(06:50) Persistent threats against individuals(08:58) What LLMs change about cost(11:40) Manual scams and business email compromise(14:30) How money movement constrains scammers(17:39) The industry that helps you pay ransoms(19:32) Bespoke attacks on individual targets(21:41) The Rust community gets targeted(23:02) Supply chain attacks and long-lived impersonation(24:58) Money mules and the three stages of laundering(28:35) Why law enforcement struggles with internet crime(30:01) Sponsors: Mercury │ Granola(33:03) Patriotic hackers and the post-Soviet talent pool(35:27) What individuals can do(36:27) Only trust communication you initiate(38:21) Wire fraud in real estate closings(41:07) Why legitimate institutions look like scams(45:22) Who eats the loss(47:21) Sponsor: MongoDB(48:12) Why banks can't just block new payees(50:45) Verification protocols and family passwords(53:07) Urgency and secrecy(54:44) Systemic fixes and who pays(57:55) Open weights and the coming wave(01:02:17) Wrap

Are We Seeing The End Of OSS Models?

The Cloudcast

Play Episode Listen Later Aug 12, 2026 17:12

SUMMARY: In this episode, Aaron and Brandon explore the potential decline of open-source models in AI, discussing market trends, financial challenges, and the future of OSS in the AI landscape.SHOW: 1053SHOW TRANSCRIPT: The Enterprise AI Show #1053 TranscriptSHOW VIDEO: https://youtu.be/-9iwoC5-muESHOW SPONSORS:Nasuni - Activate your data for AI and request a demo Topic: Are we seeing the end of OSS models?Why now? The trend towards fewer and fewer Apache models on the high end.Past: The OSS “rug pull” joke comes to mind: HashiCorp, MongoDB, Redis, Elastic Present: Governments might jump in: The US Government with Mythos and GPT. Rumors are that China might start to restrict their high-end. Companies:Kimi K3 as an example, 100M users or 20M in revenue. Others that used to be Apache are now closedFuture: Maybe something like a Modified MIT license will likely be the future, as the models now cost millions to produce and the shelf life is measured in weeks to monthsFEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

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#558: Hyper-Personal Software with Python

Play Episode Listen Later Aug 10, 2026 62:13 Transcription Available

Every company has one. The little internal tool that Jane built back in 2021, and then Jane left. Nobody understands it, nobody will touch it. There are two unwritten rules around it: don't change it, it's working. And if you break it, you bought it. That's dark-matter enterprise software. For every app you can actually see, there are ten of these sitting in the shadows, frozen. Michael Booth thinks that just changed. He read my article on hyper-personal software and ran with it, writing about hyper-team software: small teams inside big companies finally building the tools that were never going to get built. We cover where this works, where it quietly goes wrong, and the guardrails that keep it from turning into a mess. Let's get into it. Episode sponsors Sentry Error Monitoring, Code talkpython26 Python in Production Talk Python Courses Links from the show Guest Michael Booth: github.com Talk Python AI Integrations: talkpython.fm/blog From Hyper-Personal to Hyper-Team Software: Small Team-Built, AI-Assisted Tools Inside the Enterprise: www.databooth.com.au What hyper-personal software looks like (MK's article): mkennedy.codes Databooth Site: www.databooth.com.au Wall Street just lost $285 billion because of 13 markdown files: martinalderson.com SaaSpocalypse is real but everyone is panicking about the wrong thing: www.reddit.com Warp Terminal: www.warp.dev Watch this episode on YouTube: youtube.com Episode #558 deep-dive: talkpython.fm/558 Episode transcripts: talkpython.fm Theme Song: Developer Rap

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Why Great Sellers Hold the Line in Discovery with Stuart Gwynn

Play Episode Listen Later Aug 9, 2026 9:11

Enterprise sellers often lose deal quality by moving too quickly from customer pain to product answers. In this Revenue Builders minisode, Stuart Gwynn of MongoDB explains why the best sellers slow down in discovery, hold the line with the customer, and use disciplined qualification to determine whether a problem is real, urgent, and worth solving. Stuart shares how pipeline creates the courage to qualify out, why team preparation matters before strategic customer conversations, and how trust is built when sellers demonstrate that they understand the customer's business before prescribing a solution. Stuart Gwynn is an enterprise sales leader at MongoDB who has exceeded goal every year since joining the company in 2019. Before MongoDB, he spent seven years at Pure Storage, rising from SDR to named account rep and finishing as one of the company's top performers before moving into strategic enterprise selling. Connect with Stuart: LinkedIn Episodes mentioned: The Discipline Behind Scaling from PLG to Enterprise with Sahir Azam Why Sales Execution Wins in an AI-First World with Brian McCarthy, President of Global Revenue and Field Operations at Cursor Listen to the full episode: The Discipline Behind Nine-Figure Deals with Stuart Gwynn Hosted by five-time CRO John McMahon and Force Management Co-Founder John Kaplan, the Revenue Builders podcast goes behind the scenes with the sales leaders who have been there, done that, and seen the results. This show is brought to you by Force Management. We help companies improve sales performance, executing their growth strategy at the point of sale. Connect with Us: LinkedInYouTubeForce Management

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The economics of putting germicidal light in every room, with Misha Gurevich and Vivian Belenky of Aerolamp

The Tech Blog Writer Podcast

Play Episode Listen Later Aug 6, 2026 76:20

In this episode, Patrick McKenzie (patio11) is joined by Misha Gurevich, CEO of Aerolamp, and Vivian Belenky, its chief scientist and a researcher at Columbia, to discuss why UVC, a wavelength of light that inactivates airborne pathogens but is absorbed harmlessly by the dead outer layer of human skin, remains almost entirely undeployed. They explain the physics and safety case for 222 nanometers, the economics of installation, and preliminary South African trial results showing 90% suppression of tuberculosis transmission in hospital wards. –Full transcript available here: https://www.complexsystemspodcast.com/the-economics-of-putting-germicidal-light-in-every-room/ –Presenting Sponsors: Mercury & MongoDBComplex Systems is presented by Mercury—radically better banking for founders. Mercury's new feature Command brings an LLM directly into your banking interface, so checking balances, finding invoices, or sending a wire is as easy as asking. Apply online in minutes at https://mercury.com/. What's the point of building faster with AI if your database can't keep up? MongoDB's native data model mirrors the language LLMs already speak. Ship at the speed of AI while staying ACID compliant at Fortune 500 scale. Start building at https://mongodb.com/ai.–Links:Aerolamp: https://aerolamp.net/ –Timestamps:(00:00) Intro(00:58) What far UVC does to pathogens(03:25) Why it's safe for skin and eyes(09:24) What a typical deployment looks like(11:21) Why isn't this everywhere already?(13:55) Where the rollout should be prioritized(17:31) The economics per room and per building(20:56) Lamp lifetime and maintenance(21:48) When does the evidence become undeniable?(23:24) Tuberculosis and long-term care as early proof points(27:16) Pandemic math and kneecapping the next outbreak(30:16) Sponsors: Mercury | MongoDB(32:49) R0, K-factor, and why the built environment beats opt-in(34:23) Building codes, ASHRAE 241, and competing technologies(39:11) The deployment curve and the awareness problem(42:33) Scaling manufacturing: krypton chloride versus LEDs(45:14) Price versus cost, and where the inflection point is(47:35) Should you put one in your house?(51:51) What would make this fail?(56:09) The hygiene hypothesis objection(01:01:13) The precautionary principle and reasoning under uncertainty(01:06:04) Where the first million dollars should go(01:10:49) The business case and the heckler's veto(01:14:51) Where to find Aerolamp(01:15:52) Wrap

ATA 820 Herramientas para Linuxeros Vagos

Atareao con Linux

Play Episode Listen Later Aug 6, 2026 23:45

Este episodio va de ser vago. Pero vago en el buen sentido, eh. De esos que prefieren que una herramienta haga el trabajo pesado mientras tú te quedas con lo divertido. Resulta que hay todo un ecosistema de herramientas TUI con el prefijo "lazy" que te evitan tener que memorizar cientos de flags y opciones de comandos como git, docker, rsync o SQL. Y no, no es cutrez: son interfaces de terminal que funcionan a golpe de tecla, sin ratón, sin salir de la terminal, y encima molan.Te cuento cómo nació todo esto, quién es Jesse Duffield (el creador de lazygit y lazydocker, con más de 80K y 52K estrellas en GitHub respectivamente) y por qué esta filosofía de "una tecla, una acción" ha enganchado a tanto linuxero. Y lo mejor: te hago demo de las cuatro herramientas principales para que veas cómo funcionan en vivo y en directo, con sus paneles, sus atajos y sus trucos.Empezamos con lazygit, el rey indiscutible del ecosistema. 80.900 estrellas en GitHub, escrito en Go, y con una comunidad que no para de crecer. Desde stage línea a línea hasta rebase interactivo, pasando por undo/redo vía reflog. Te enseño cómo hacer commits, gestionar ramas, stash y hasta cherry-pick sin tener que acordarte de los flags raros de git.Seguimos con lazysql, el gestor de bases de datos en terminal de Jorge Rojas. Soporta MySQL, PostgreSQL, SQLite, MongoDB, MSSQL y Oracle. Navegación por teclado, autocompletado de queries, exportación a CSV y configuración por proyecto. Ideal para cuando no te apetece abrir DataGrip o DBeaver solo para hacer una consulta rápida.Luego viene lazyrsync, escrito en Rust con ratatui, y con una filosofía muy clara: que no se te olvide el flag ese que evita que borres todo. Perfiles reutilizables, dry-run con previsualización, protección contra --delete accidentales y paths dinámicos con variables. Perfecto para backups sin sustos.Y cerramos con lazydocker, también de Jesse Duffield. Cuatro paneles: contenedores, métricas, imágenes y logs en vivo. Con un vistazo ves qué contenedor consume más CPU, entras en el terminal de uno con una tecla, o ejecutas docker-compose sin acordarte del comando. Y sí, también funciona con Podman.Además te menciono otras herramientas del ecosistema: lazyssh, lazyjj para Jujutsu, lazykube, lazyprune para limpiar node_modules olvidados... Vamos, que hay lazy para todo.Capítulos del episodio:0:00 — Introducción: el problema de memorizar comandos2:05 — La filosofía lazy: scripts, TUIs y el ecosistema lazy4:30 — LazyGit: historia, filosofía "una tecla una acción" y +80K estrellas6:45 — LazyGit: demo de paneles, stage, commits, ramas y stash9:10 — LazySQL: Jorge Rojas, 4K estrellas y soporte multi-base de datos11:30 — LazySQL: demo con autocompletado, consultas y exportación CSV14:00 — LazyRsync: dry-run, perfiles y protección contra errores16:30 — LazyRsync: demo con columnas de estado y confirmación de borrado19:10 — LazyDocker: Jesse Duffield, 52K estrellas y soporte para Podman21:45 — Otras herramientas lazy: lazy-ssh, lazy-jj, lazy-kube, lazy-npm23:15 — Cierre: sé un vago inteligente, valoración y despedidaMás información y enlaces en las notas del episodio

Building Reliable AI Agents With Knowledge Gardens and MongoDB

Play Episode Listen Later Aug 5, 2026 33:23

What happens when an enterprise AI agent can retrieve thousands of data points but cannot understand the customer, decision, or business moment in front of it? In this episode of Tech Talks Daily, I welcome back Boris Bialek, Vice President of Industries and Global Field CTO at MongoDB. We examine why the enterprise AI conversation has become more professional as organizations move beyond demonstrations and begin putting agentic systems into production. Boris argues that many companies do not have a shortage of data. Their problem is turning scattered data into information and then into usable knowledge. A bank balance is data. A complete view of a customer's relationship with the bank is information. Recognizing that the customer is currently researching a mortgage and may need assistance within the next 20 seconds is knowledge. This distinction leads to Boris's concept of a knowledge garden. Structured records, unstructured content, live signals, conversations, and business context are organized around a customer or outcome. Different departments can access the parts relevant to their work while AI agents receive the context needed to respond quickly. We also discuss integration debt. Boris recalls one system that required 18 seconds to assemble a customer view and says many enterprises are working with approximately 40 primary data sources. An agent can spend so much time coordinating access across APIs, caches, and applications that the business problem becomes secondary. Trust becomes equally important once an AI agent can act. Boris introduces two measures: the agent confidence score and the business risk score. The first evaluates whether an agent's output appears reliable based on its data, behavior, and context. The second considers the consequences of allowing that decision to proceed automatically. Together, these scores can help organizations decide which actions should pass automatically, which need further machine validation, and which should reach a human reviewer. Boris also explains why data lineage and complete audit trails must be designed into production systems from the beginning. For teams beginning this work, his advice is practical. Choose one business outcome, connect two or three relevant data sources, create a working prototype, and involve business and technical leaders in the same conversation. The goal is to demonstrate how data, context, confidence, risk, and human review work together before expanding the system. Does your organization have an AI data problem, or does it have a knowledge and context problem? Listen to the conversation and share your thoughts with me.

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#557: Security of everything at PyCon 2026

Talk Python To Me - Python conversations for passionate developers

Play Episode Listen Later Aug 2, 2026 68:00 Transcription Available

Security has always been the vegetables of software. Everyone agrees it matters, and somehow it never quite makes it onto the plate. At PyCon US this year, that changed. For the first time ever, security got its own dedicated, day-long track, one of just two at the whole conference, sitting right next to AI. And the room was packed to the back wall. On this episode, I'm joined by the three people at the center of it. Seth Larson, Security Developer in Residence at the Python Software Foundation and, very recently, a CPython core developer. Juanita Gomez, a PhD researcher at UC Santa Cruz in open source security, who co-chaired the track. And Mike Fiedler, PyPI's Safety and Security Engineer, one of the very few people paid full-time to keep the packages you install safe. We use the arc of the track's talks to take the temperature of Python security right now: supply chain attacks, dependency cooldowns, zero trust, SBOMs, and the push to bring Rust into CPython. And why not one of us thinks security is anywhere close to solved. Turns out that's the good news. It's why the room was full. Episode sponsors Sentry Error Monitoring, Code talkpython26 Talk Python Courses Links from the show Guests Juanita Gomez: linkedin.com Mike Fiedler: miketheman.dev Seth Michael Larson: sethmlarson.dev Trailblazing Python Security: us.pycon.org Everything Security at PyCon US 2026 (PSF blog): pyfound.blogspot.com Dependency Cooldowns: cooldowns.dev Anatomy of a Phishing Campaign (Mike Fiedler) Recording: www.youtube.com FedRAMP: www.gsa.gov Zero Trust in 200ms: Implementing Identity-Per-Transaction with Python & Serverless-Tristan McKinnon: www.youtube.com Rust for CPython project: blog.python.org pre-PEP: discuss.python.org Rust for CPython: Making Python Safer and More Robust for Everyone - Emma Smith: www.youtube.com SBOMit: github.com Asleep at the Wheel: Getting your SBOMs to pay attention... - Sanchit Sahay, Abhishek Reddypalle: www.youtube.com Volatility: volatilityfoundation.org Post Incident Runtime SBOM Generation from Python Memory - Hala Ali: www.youtube.com zizmor: docs.zizmor.sh GitHub Actions security in Python packages (Andrew Nesbitt write-up): nesbitt.io andrew/pycon: data & analysis for the GitHub Actions security talk: github.com GitHub Actions Security in Python Packages - Andrew Nesbitt: www.youtube.com gh-profiler: examine a GitHub user's profile to gauge their contributions: github.com PyCon US YouTube channel: www.youtube.com SBOMit: adding verification to SBOMs (OpenSSF): openssf.org Ecosystems: ecosyste.ms Watch this episode on YouTube: youtube.com Episode #557 deep-dive: talkpython.fm/557 Episode transcripts: talkpython.fm Theme Song: Developer Rap

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678: Entropy Ain't Easy

LINUX Unplugged

Play Episode Listen Later Aug 2, 2026 75:40 Transcription Available

Seven Linux kernels landed in one day. We sort out which belong in your homelab, and trace Linux's long, occasionally disastrous quest for truly random numbers.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:Web Boost — Send us a boost via sats or USD

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Why AI has no taste and how to fix it (w/ Thais Castello Branco) | E2319

Play Episode Listen Later Jul 31, 2026 75:09

This Week In Startups is made possible by: YSecurity https://YSecurity.io/TWIST MongoDB https://MongoDB.com/ai Odoo https://Odoo.com/twist Today's show: AI models can solve PhD-level math equations and code an app in minutes… So why does everything they design look like identical slop? Thais Castello Branco, founder of Taste Labs, raised $18.5M in seed funding to teach frontier models about aesthetics and outputting quality content. She talks to Jason and Lon about why even frontier models regress to the mean on subjective tasks, how paid "TasteMakers" can improve output quality, and whether AI accelerates or destroys the half-life of "what's cool." PLUS Leopold Aschenbrenner's AI hedge fund liquidated its public stock portfolio, but it may be too soon to count this 25-year-old completely out. Google Earth adds AI generation and turns into a misinformation factory. LinkedIn and Substack join the AI slop crackdown. And why does every venture capitalist seem to have an opinion about the Ceuta border crisis? Guest Thais Castello Branco on X: https://x.com/thaiscbranco_ Taste Labs: https://tastelabs.com/ Amplify Partners: "Kill the Slop": https://www.amplifypartners.com/blog-posts/kill-the-slop-announcing-our-investment-in-taste Relevant Links Leopold Aschenbrenner's essay "Situational Awareness": https://situational-awareness.ai/ CNBC on SA fund collapse: https://www.cnbc.com/2026/07/31/leopold-aschenbrenner-situational-awareness-fund-fire-sale.html Henk van Ess thread on Google Earth + Nano Banana: https://x.com/henkvaness/status/2082912544394498228 Substack CEO Chris Best: "Against Claudefishing": https://post.substack.com/p/against-claudefishing NPR on the Ceuta crisis: https://www.npr.org/2026/07/31/g-s1-136507/morocco-spain-migration Ethan Goodhart's self-driving golf cart post: https://x.com/EthanGoodhart/status/2082136189998682598?s=20 "Wind" app on TestFlight: https://testflight.apple.com/join/zZqmhhwf TechCrunch: "Gritt exits stealth": https://techcrunch.com/2026/07/21/gritt-exits-stealth-with-34-million-for-robots-to-build-solar-plants-then-everything-else/ CA Gov: Project Nexus solar-covered canal announcement: https://www.gov.ca.gov/2026/04/29/governor-newsom-announces-the-completion-of-first-of-its-kind-solar-covered-canal-in-the-central-valley-piloting-a-new-way-to-save-water-and-reduce-costs/ Molly Wood's "Everybody in the Pool" podcast: https://www.everybodyinthepool.com/ Timestamps: 0:00 Coming up on today's show… 1:23 Thais Castello Branco on teaching models to have good taste 10:45 YSecurity - The on-demand security team for startups. Need enterprise-grade security without hiring a $400k CISO? YSecurity gives you 40+ expert engineers, matched to exactly what you need, by the hour, with your first six hours completely free. Go to https://YSecurity.io/TWIST 15:19 The "TasteMaker" community of paid human curators 20:37 MongoDB - AI-assisted and agentic coding is helping you build faster than ever. Start building at https://MongoDB.com/ai 24:40 Jason's personal "cool hunter" prompt 30:16 Odoo - The all-in-one business platform. Get started for free at https://Odoo.com/twist 37:36 Situation Awareness lacked situational awareness 46:59 Claude models hacked three external organizations 50:54 Google Earth adds Nano Banana for some reason 54:24 The AI Slop crackdown spreads 57:54 Too many opinions about the Ceuta migrant crisis 1:04:05 Self-driving golf carts and also cars 1:09:53 Robot arms are installing solar panels Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com Check out the TWIST500: https://www.twist500.com Subscribe to This Week in Startups on Apple: https://rb.gy/v19fcp Follow Lon: X: https://x.com/lons Follow Alex: X: https://x.com/alex LinkedIn: ⁠https://www.linkedin.com/in/alexwilhelm Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis Check out all our partner offers: https://partners.launch.co/ Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland Check out Jason's suite of newsletters: https://substack.com/@calacanis Follow TWiST: Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin Instagram: https://www.instagram.com/thisweekinstartups TikTok: https://www.tiktok.com/@thisweekinstartups Substack: https://twistartups.substack.com

tiktok ai apple phd robots wind taste npr pool substack twist cnbc 5m ciso slop thais google earth ceuta henk ess situational awareness reid hoffman mongodb lon tastemakers brian chesky will guidara testflight sophia amoruso odoo aaron levie bob moesta this week in startups steve huffman molly wood castello branco frank slootman situation awareness

Cheap cognition, supercharged surveillance, and AI risks, with Garrison Lovely

Play Episode Listen Later Jul 30, 2026 80:55

Patrick McKenzie (patio11) is joined by Garrison Lovely, journalist and author of Obsolete: The AI Industry's Trillion-Dollar Race to Replace Us and How to Stop It, to map the three-sided debate over AI risk and why the arguments keep talking past each other. They then turn to what cheap cognition does to surveillance that already exists: FinCEN receives roughly 4 million suspicious activity reports a year and reads almost none of them, ICE agents run about a million queries against that database annually, and every podcast ever recorded is now transcribable for approximately nothing. The conversation covers capabilities denialism, ablated open-weights models, the fraud supply chain, and why AI is also unusually good at writing the Regulation E letter that gets your bank to fix your problem.–Full transcript available here: https://www.complexsystemspodcast.com/cheap-cognition-and-the-end-of-practical-obscurity-with-garrison-lovely/ –Presenting Sponsors: Mercury, MongoDB & ChainguardComplex Systems is presented by Mercury—radically better banking for founders. Mercury's new feature Command brings an LLM directly into your banking interface, so checking balances, finding invoices, or sending a wire is as easy as asking. Apply online in minutes at https://mercury.com/. What's the point of building faster with AI if your database can't keep up? MongoDB's native data model mirrors the language LLMs already speak. Ship at the speed of AI while staying ACID compliant at Fortune 500 scale. Start building at https://mongodb.com/ai.If attackers are using AI to weaponize code faster than any team can review it, your scanners won't save you. Chainguard builds libraries and container images from source, verified all the way down, with near-zero CVEs and zero malware. Build safely at https://www.chainguard.dev/. –Links:Obsolete: The AI Industry's Trillion Dollar Race to Replace Us―and How to Stop It: https://www.amazon.com/Obsolete-Power-Profit-Machine-Superintelligence/dp/1682196305 –Timestamps:(00:00) Preview(00:43) Intro(01:51) The three-sided debate over AI risk(05:32) Power, politics, and the tech backlash(09:49) Capabilities denialism and AI tells(14:54) The obsoleting machine(17:09) The Turing test is dead(18:56) Languages for free, then software engineering(22:37) Sponsors: Mercury | MongoDB(25:09) How high up the stack do the models decide?(29:11) Surveillance and cheap cognition(32:38) Podcasts, FinCEN, and the end of practical obscurity(38:35) Section 702 and the data broker loophole(39:35) Sponsor: Chainguard(40:55) Section 702 and the data broker loophole (cont'd)(47:23) Institutional friction and a million ICE queries(53:29) Security through obscurity no longer works(54:54) Scams, fraud, and ablated models(1:00:20) Personal utility versus societal backlash(1:02:16) AI as a tool for redress(1:06:34) State capacity and regulating what you understand(1:12:37) Tobacco, nuclear, and AlphaFold: strangle it or steer it(1:18:37) Where to find Garrison and the book(1:20:32) Wrap

Why Partner Leaders Must Master the AI Landscape to Win Hyperscaler Partnerships with Alan Chhabra

founders spring webb mongodb spring boot

Play Episode Listen Later Jul 30, 2026 62:14

AI partnerships are no longer won by managing a channel or securing a marketplace listing. Leaders must understand how countries, power, cooling, chip fabrication, hyperscalers, model providers, software companies, and enterprise risk fit together before they can build an effective partner strategy. Returning to Revenue Builders, Alan Chhabra explains how Cerebras navigated the technical and political realities of working with AWS, why successful partner leaders need more than relationships, and how sovereignty is changing infrastructure, model selection, and cloud decisions. He also examines why software companies are moving aggressively on AI while traditional enterprises remain more cautious. Alan Chhabra is the Executive Vice President of Worldwide Partnerships at Cerebras Systems, where he leads global partner expansion across hyperscalers and the broader AI ecosystem. He previously spent nearly a decade building MongoDB's global partner network and held senior leadership roles at BMC Software. Connect with Alan: LinkedIn Other Revenue Builders episodes with Alan: The Ideal Partnership with Alan Chhabra Key takeaways from this episode: 00:00 - Why the infrastructure behind AI may matter more than the applications built on top of it. 12:26 - What the shift from data to AI changes about how partner leaders map the market. 16:06 - Why understanding the full AI stack is a prerequisite for building the right partnerships. 27:48 - A look inside what it really takes to navigate the politics of a hyperscaler partnership. 36:00 - The four capabilities CEOs should test before hiring an AI partner leader. 48:34 - What leaders often overlook about the role of sovereignty in shaping AI infrastructure decisions. 56:25 - Why software companies and traditional enterprises are moving at very different speeds on AI adoption. Hosted by five-time CRO John McMahon and Force Management Co-Founder John Kaplan, the Revenue Builders podcast goes behind the scenes with the sales leaders who have been there, done that, and seen the results. This show is brought to you by Force Management. We help companies improve sales performance, executing their growth strategy at the point of sale. Connect with Us: LinkedInYouTubeForce Management

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Spring Boot founder and lead Phil Webb

A Bootiful Podcast

Play Episode Listen Later Jul 30, 2026 59:22

Hi, Spring fans! In this installment I talk to Spring Boot cofounder Phil Webb who joins the show to unpack the latest Spring Boot 4.1 release, from the long-awaited Spring gRPC support and MongoDB batch starter to security, observability, service connections, and other polished improvements.

Banning Chinese robots isn't regulatory capture | E2318

SANS Internet Stormcenter Daily Network/Cyber Security and Information Security Stormcast

Play Episode Listen Later Jul 29, 2026 85:49

This Week In Startups is made possible by: Northwest Registered Agent- NorthwestRegisteredAgent.com/twist Odoo - Odoo.com/twist MongoDB - MongoDB.com/ai Today's show: The FCC's decision to ban Chinese humanoid robots over security concerns is a boon to American startups, which now face a narrower competitive market. But where should we draw the line on security over competition? Menlo Ventures' Deedy Das, Weisburd Pierce's David Weisburd, Plexo Capital's Lo Toney, and LAUNCH's Jason Calcanis broke down how they differentiate between legitimate security concerns and purported regulatory capture. Today's venture capital roundtable also dug into OpenRouter's possible sale to Stripe, changing tokenomics, the Indian market for startups, and even DoorDash's drone-delivery business taking flight. Guest Links: Deedy Das https://x.com/deedydas Menloe Ventures https://menlovc.com/ Lo Toney https://x.com/lo_toney Plexo Capital https://www.plexocap.com/ David Weisburd https://x.com/DWeisburd Weisburd Pierce https://www.weisburdpierce.com/ Jason Calcanis https://x.com/Jason LAUNCH https://launch.co/ Show Links: The FCC's decision regarding Chinese robots https://www.fcc.gov/document/fcc-adds-foreign-produced-power-inverters-and-robots-covered-list-0 Pacing the Frontier letter https://www.pacingthefrontier.com/ Cursor Start https://cursor.com/blog/cursor-start-india Stripe may buy OpenRouter https://www.axios.com/2026/07/24/stripe-openrouter-merger-ai-currency OpenRouter financials https://www.theinformation.com/articles/openrouter-financials-suggest-steep-price-possible-acquirer-stripe?rc=g3wfdp Kimi K3 license https://huggingface.co/moonshotai/Kimi-K3/blob/main/LICENSE Pangram https://www.pangram.com/ Tau Robotics https://www.tau-robotics.com/ Zipline https://www.zipline.com/ Manna https://www.manna.aero/ Kindred Ventures https://kindredventures.com/ Autolane https://goautolane.com/ Salmon Labs https://salmonrun.ai/ Timestamps: 0:00 The FCC bans Chinese humanoid robots 2:18 Waymo, Uber, Robotaxi, and the global BYD threat 10:30 MongoDB - AI-assisted and agentic coding is helping you build faster than ever. Start building at https://MongoDB.com/ai 15:45 The "Pacing The Frontier" letter (1,100+ AI staffers warn on RSI) 19:51 Odoo - The all-in-one business platform. Get started for free at https://Odoo.com/twist 21:07 Regulatory capture vs. genuine concern 30:09 Northwest Registered Agent - Get more when you start your business with Northwest. In 10 clicks and 10 minutes, you can form your company and walk away with a real business identity — Learn more at https://northwestregisteredagent.com/twist 37:57 Have we reached AGI? 38:35 Stripe eyes OpenRouter at $10B 39:19 Does OpenRouter have a moat? 47:13 Kimi K3's license and neocloud margins 49:34 Claude Tag and the future of AI-mediated workplaces 53:26 Cursor Start, ChatGPT Go, and the India market 1:02:03 Have we solved AI detection? 1:11:20 Tau Robotics $30/hour robotic housecleaning 1:12:49 Job loss, and the social safety net 1:18:25 DoorDash Air takes on Zipline, Manna 1:21:00 Portfolio shout-outs Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com Check out the TWIST500: https://www.twist500.com Subscribe to This Week in Startups on Apple: https://rb.gy/v19fcp Follow Lon: X: https://x.com/lons Follow Alex: X: https://x.com/alex LinkedIn: ⁠https://www.linkedin.com/in/alexwilhelm Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland Check out Jason's suite of newsletters: https://substack.com/@calacanis Follow TWiST: Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin Instagram: https://www.instagram.com/thisweekinstartups TikTok: https://www.tiktok.com/@thisweekinstartups Substack: https://twistartups.substack.com

AI's Cyber Boom

Resilient Cyber

Play Episode Listen Later Jul 29, 2026 34:42 Transcription Available

Jon Sakoda of Decibel joins me to break down AI's impact on cybersecurity startups, venture funding, and why endpoint is the Super Bowl of cyber.Jon is the Founding Partner at Decibel, an early-stage firm backing technical founders in security and infrastructure. He started his career founding IMlogic, an IM security company acquired by Symantec, then spent over a decade at NEA working with companies like Cloudflare, MongoDB, and HackerOne before launching Decibel. We got into why he thinks AI is only magical if you have a magic power, why Decibel led a $100M seed into Ent, and where the firm is placing its next bets.In this episode:Why Decibel operates like the Navy SEALs next to the big platform fundsThe founder community model and finding the early believers among CISOsWhat separates the founders who finish now that AI lets everyone startEnt's $100M seed and the self-driving moment for endpoint securityTelling genuinely AI-native companies apart from AI washingAI eating venture capital and why cyber's best years are aheadOpen models, frontier labs, and why the cat is out of the bagThe agentic SOC, Dropzone AI, and driver assistance vs. self-drivingStartup consolidation cycles and being an N of oneHow buyers and job seekers should evaluate early-stage vendorsDecibel's next bets, from novel AI models to resilience and cyber insuranceChapters:0:00 Intro 0:32 Jon's background and founding Decibel 2:25 Big platform funds vs. specialized firms 3:56 Founders helping founders and early believers 6:22 Scaling beyond the early adopters 7:40 Who finishes the marathon in the AI era 10:19 Founders from outside cyber 12:21 Ent's $100M seed and the endpoint bet 14:53 AI-native vs. AI washing 17:04 AI is eating venture capital 18:55 Open models vs. frontier labs 22:41 The agentic SOC and Dropzone AI 26:03 Consolidation and the startup cycle 29:22 How buyers should evaluate young vendors 31:43 Decibel's next bets and cyber resilience 34:11 Game Day at Black HatConnect with Jon: LinkedIn: https://www.linkedin.com/in/jonsakoda/ Decibel: https://www.decibel.vcSubscribe for more conversations with security practitioners and leaders, and find my writing at https://www.resilientcyber.io

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SANS Stormcast Tuesday, July 28th, 2026: Spring Boot Scans; VBulletin Vulnerability; MSFT Defender for Linux; MongoDB Update

Play Episode Listen Later Jul 28, 2026 5:27

Java Spring Boot "heapdump" scans https://isc.sans.edu/diary/Java%20Spring%20Boot%20%22heapdump%22%20scans/33188 VBULLETIN RUNTIME TEMPLATE RUNMATHS PREAUTH RCE https://ssd-disclosure.com/vbulletin-runtime-template-runmaths-preauth-rce/ Microsoft Defender for Linux Update may disable restart https://learn.microsoft.com/en-us/defender-endpoint/microsoft-defender-endpoint-releases#issues-have-been-found-with-versions-101260420000101260420009 MongoDB Updates CVE-2026-13072 https://github.com/advisories/GHSA-wvx7-gr2m-7rf5 My Upcoming Classes https://www.sans.org/profiles/dr-johannes-ullrich

While other cultivated meat companies are collapsing, this one turned a profit | E2317

Talk Python To Me - Python conversations for passionate developers

Play Episode Listen Later Jul 27, 2026 43:52

This Week In Startups is made possible by: Every.io https://every.io MongoDB https://MongoDB.com/ai Agree https://agree.com Today's show: *Most lab-grown meat companies have already gone under. It's expensive to produce, and there's little demand from real-world consumers. But Tokyo's IntegriCulture is still standing after selling their proprietary serum to cosmetics companies. On Episode 3 of TWiST from Tokyo, Jason sits down with Dr. Yuki Hanyu, an Oxford-trained chemist who started a DIY meat movement out of a comic convention and turned it into Japan's first cell-cultured protein company. PLUS why the cultivated meat market stalled out, why producing a "slurry of cells" is more efficient than jumping right to muscle tissue, the regulatory framework in Japan vs. the US, and… is it fair to call this "meat"? Or is it something else entirely? Guest Yuki Hanyu on LinkedIn: https://www.linkedin.com/in/yuki-hanyu-b860bb34/ IntegriCulture: https://integriculture.com/en/ Relevant Links: AG Funder News: "IntegriCulture turns a profit": https://agfundernews.com/cell-ag-picks-shovels-pioneer-integriculture-turns-a-profit-but-cautions-that-as-long-as-cell-ag-remains-so-capital-intensive-it-will-be-difficult-to-take-off Vegconominst: Cultivated duck liver coverage: https://vegconomist.com/cultivated-cell-cultured-biotechnology/cultivated-meat/japans-integriculture-products-cultivated-duck-liver/ Cellament skin care ingredient: https://www.cellament.jp/cellament-en?lang=en Medium: Shojinmeat Project: https://medium.com/shojin-meat Cellular Agriculture Institute of the Commons (CAIC): https://cellagri.org/en/about-us Japan Association for Cellular Agriculture (JACA): https://jaca.jp/en/ Upside Foods: https://upsidefoods.com/ Vow: https://www.eatvow.com/ Impossible Foods: https://impossiblefoods.com/ Fast Company: "Inside the stunning collapse of Believer Meats": https://www.fastcompany.com/91462102/believer-meats-stunning-collapse-600-million-cooling-cultured-meat-industry AG Funder News: "FDA clears Wildtype's cell-cultivated salmon": https://agfundernews.com/fda-clears-wildtypes-cell-cultivated-salmon-for-us-debut Food Navigator: Parima gets green light for cultivated duck: https://www.foodnavigator.com/Article/2026/04/15/parima-gets-regulatory-approval-for-cultivated-foie-gras/ Protein Production: "Japan publishes first draft safety guidelines for cultivated meat…": https://www.proteinproductiontechnology.com/post/japan-publishes-first-draft-safety-guidelines-for-cultivated-meat-as-regulatory-debate-advances Stateline: "Texas bans lab-grown meat": https://stateline.org/2025/06/30/texas-becomes-seventh-state-to-ban-lab-grown-meat/ TODAY: "Japan's Coca-Cola Plus has an unexpected ingredient": https://www.today.com/food/japan-s-coca-cola-plus-has-unexpected-ingredient-t121047 Timestamps: 0:00 Why founders should visit Japan 1:48 Intro of cultivated meat pioneer, Dr. Yuki Hanyu 3:19 Why don't consumers want lab-grown meat? 10:05 Every.io - For all of your incorporation, banking, payroll, benefits, accounting, taxes or other back-office administration needs, visit https://every.io 10:26 DIY meat manuals at comic conventions 15:37 Flavors that don't exist in nature 19:35 The Wagyu Hot Dog 21:38 MongoDB - AI-assisted and agentic coding is helping you build faster than ever. Start building at https://MongoDB.com/ai 24:23 Why chicken nuggets are the hardest problem 28:28 Beachhead markets, waypoints, and surviving early 30:25 Agree.com - Stop chasing invoices and automate your entire contract-to-cash stack. Go to https://agree.com and tell them Jason sent you to get 50% off for life! 35:57 Q&A: Commercializing an open source project 37:56 Q&A: Growing protein in space 40:07 Should this be called "meat"? Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com Check out the TWIST500: https://www.twist500.com Subscribe to This Week in Startups on Apple: https://rb.gy/v19fcp Follow Lon: X: https://x.com/lons Follow Alex: X: https://x.com/alex LinkedIn: ⁠https://www.linkedin.com/in/alexwilhelm Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis Check out all our partner offers: https://partners.launch.co/ Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland Check out Jason's suite of newsletters: https://substack.com/@calacanis Follow TWiST: Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin Instagram: https://www.instagram.com/thisweekinstartups TikTok: https://www.tiktok.com/@thisweekinstartups Substack: https://twistartups.substack.com

#556: Updates on Django's Async Story

Play Episode Listen Later Jul 26, 2026 64:56 Transcription Available

For years, "Django and async" came with an asterisk. The docs themselves warned you off it. Scary performance notes, a story that felt half-finished. Well, that story just got rewritten, literally, and the person who rewrote it is here to tell you why the old framing was wrong. Carlton Gibson is a former Django Fellow, sat on the security team for eight years, and he's on the steering council. On this episode we get into the async topic doc rewrite, what actually remains versus what was just fear, the new Tasks framework in 6.0, DB-level cascades and fetch modes landing in 6.1, and why free-threading is the bet that's about to pay off big for Django. If you've been told Django's async story isn't ready, this is the episode that puts that myth to bed. Episode sponsors Sentry Error Monitoring, Code talkpython26 Python in Production Talk Python Courses Links from the show DjangoCon Europe: djangocon.eu PyCon Italia: pycon.it Django on the Med: djangomed.eu Django Mantle: noumenal.es PyPI: pypi.org release notes: docs.djangoproject.com on_delete: docs.djangoproject.com Fetch modes: docs.djangoproject.com HttpRequest.multipart_parser_class: docs.djangoproject.com async topic doc: docs.djangoproject.com docs: docs.djangoproject.com DEP 14: github.com django-tasks: github.com django-tasks-local: github.com Celery: docs.celeryq.dev PEP 703: peps.python.org free-threading HOWTO: docs.python.org PEP 779: peps.python.org ASGI: docs.djangoproject.com PGBouncer: www.pgbouncer.org Channels: channels.readthedocs.io sync_to_async / async_to_sync: docs.djangoproject.com noumenal.es: noumenal.es Django Chat: djangochat.com @carlton@fosstodon.org: fosstodon.org Article: Cutting Python Web App Memory Over 31%: mkennedy.codes Watch this episode on YouTube: youtube.com Episode #556 deep-dive: talkpython.fm/556 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Investor Stories 485: Inside VC Anti-Portfolios: Missing Whatnot, Facebook & MongoDB (Dillon, Cheng, Black)

Play Episode Listen Later Jul 23, 2026 6:57

On this special segment of The Full Ratchet, the following Investors are featured: Natalie Dillon of Maveron Larry Cheng of Volition Capital Ben Black of Akkadian Ventures and Powerlaw Corp Each investor highlights a situation where they decided not to invest, why they passed, and how it played out. The host of The Full Ratchet is Nick Moran of New Stack Ventures, a venture capital firm committed to investing in founders outside of the Bay Area. We're proud to partner with Ramp, the modern finance automation platform. Book a demo and get $150—no strings attached. Want to keep up to date with The Full Ratchet? Follow us on social. You can learn more about New Stack Ventures by visiting our LinkedIn and Twitter.

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What you're actually getting paid in, with Leila Clark

Play Episode Listen Later Jul 23, 2026 64:00

In this episode, Patrick McKenzie (patio11) is joined by Leila Clark, founder of Stardrift and formerly a software engineer at Jane Street, to discuss her essay "What Are You Getting Paid In?" They cover how a Jane Street manager staffed the firm's least lucrative corner by paying people in culture, why Ken Griffin is worth roughly fifty Taylor Swifts, and how a longtime Google product manager quietly ends up with Grammy-winner money. The conversation ranges from academia's brutal tournament structure and YC as a script to founderdom to the one currency Taylor Swift holds that Ken Griffin's $50 billion buys only awkwardly: a restaurant reservation anywhere in New York.–Full transcript available here: https://www.complexsystemspodcast.com/what-youre-actually-getting-paid-in-with-leila-clark/ –Presenting Sponsors: Mercury, Chainguard & MongoDB Complex Systems is presented by Mercury—radically better banking for founders. Mercury's new feature Command brings an LLM directly into your banking interface, so checking balances, finding invoices, or sending a wire is as easy as asking. Apply online in minutes at https://mercury.com/.If attackers are using AI to weaponize code faster than any team can review it, your scanners won't save you. Chainguard builds libraries and container images from source, verified all the way down, with near-zero CVEs and zero malware. Build safely at https://www.chainguard.dev/.What's the point of building faster with AI if your database can't keep up? MongoDB's native data model mirrors the language LLMs already speak. Ship at the speed of AI while staying ACID compliant at Fortune 500 scale. Start building at https://mongodb.com/ai.–Links:What are you getting paid in: https://www.approachwithalacrity.com/p/what-are-you-getting-paid-in –Timestamps:(00:00) Intro(01:23) What are you getting paid in?(03:16) Scripts, teacher figures, and hitting capitalism(08:18) The academia trap(11:08) Paying people in culture: Jane Street's back office(14:03) Ken Griffin vs. Taylor Swift(16:53) Learning about finance by osmosis (or not)(20:44) Sponsors: Mercury | Chainguard(23:46) Musician money vs. Google money(30:03) Keeping up with the Joneses and the meritocratic ladder(33:12) YC as a script to founderdom(36:19) What entrepreneurship pays you in(39:12) Gratitude, culture, and quirky preferences(40:11) Sponsor: MongoDB(43:48) Does winning this script look like winning to you?(48:29) Don't end the week with nothing(51:06) Fame and living in bubbles(56:57) Restaurant reservations as a currency(1:02:57) Where to find Leila(01:03:35) Wrap

When AI Starts Hacking

Tech Radio

Play Episode Listen Later Jul 23, 2026 48:14

Episode 1126OpenAI has had a week it would probably rather forget with its AI models carrying out an automated cyber attack during testing. We also take a look at Kimi K3, the latest open-source AI model from China that's promising impressive performance at a fraction of the cost of today's leading models. If you've been eyeing a new phone, Samsung's latest Galaxy Unpacked event gives us plenty to discuss, from the new Fold and Flip devices to the question of whether flagship smartphones have finally reached their price ceiling.Plus, Niall Kitson sits down with Colm Russell, VP of Technical Services (EMEA) at MongoDB, to explore how one of the internet's most widely used technology platforms is evolving in the age of AI.----- Listen to Tech Radio now on Apple, Spotify and YouTubehttps://www.podfollow.com/tech

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The dawn of surgery bots + buy a home for $250 (w/ Andromeda & Mogul) | E2313

Play Episode Listen Later Jul 17, 2026 46:54

The dawn of surgery bots + buy a home for $250 (w/ Andromeda & Mogul) | E2313 This Week In Startups is made possible by: Northwest Registered Agent https://northwestregisteredagent.com/twist CLA https://claconnect.com/withyou MongoDB https://MongoDB.com/ai Today's show: *Andromeda Surgical is building the autonomy layer that could one day allow robots to perform surgery. Rather than building their own intricate, complex hardware, Andromeda uses off-the-shelf arms from a German manufacturer, and focuses on the software that will allow doctors to operate it from an iPad. Plus Mogul co-founder and CEO Alex Blackwood shows Jason how his platform lets anyone buy fractional shares of rental homes for as little as $250, earning monthly dividends, appreciation, and tax benefits without the headache of being someone's landlord. It's a founder double feature on a brand new TWiST. Guests: Nick Damiano on X: https://x.com/nickdamian0 Andromeda Surgical: https://www.andromedasurgical.com/ Alex Blackwood on X: https://x.com/blackwoodtweets Mogul: https://www.mogul.club/ Relevant Links: KUKA: https://www.kuka.com/ Intuitive Surgical (and Da Vinci 5): https://www.intuitive.com/en-us Neuralink: https://neuralink.com/ Padsplit: https://www.padsplit.com/ AngelList: https://www.angellist.com/ The Syndicate: https://thesyndicate.com/ Timestamps: 0:00 The iPad controlled surgery bot 5:46 Building "Google Maps for the body" 10:10 Northwest Registered Agent - Get more when you start your business with Northwest. In 10 clicks and 10 minutes, you can form your company and walk away with a real business identity — Learn more at https://northwestregisteredagent.com/twist 14:28 What is a "sous surgeon" 20:46 CLA - Innovation takes balance. CLA's CPAs, consultants, and wealth advisors can help you get from startup to where you want to end up. Get started now at https://www.claconnect.com/withyou 24:30 The Neuralink connection 29:40 Understanding Mogul's business model 31:01 MongoDB - AI-assisted and agentic coding is helping you build faster than ever. Start building at https://MongoDB.com/ai 33:32 So who manages the homes? 36:50 Dividends vs. Appreciation 44:57 How Mogul picks markets Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com Check out the TWIST500: https://www.twist500.com Subscribe to This Week in Startups on Apple: https://rb.gy/v19fcp Follow Lon: X: https://x.com/lons Follow Alex: X: https://x.com/alex LinkedIn: ⁠https://www.linkedin.com/in/alexwilhelm Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis Check out all our partner offers: https://partners.launch.co/ Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland Check out Jason's suite of newsletters: https://substack.com/@calacanis Follow TWiST: Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin Instagram: https://www.instagram.com/thisweekinstartups TikTok: https://www.tiktok.com/@thisweekinstartups Substack: https://twistartups.substack.com

What LLMs can and can't do for writers, with Clara Collier of Asterisk Magazine

Play Episode Listen Later Jul 16, 2026 95:35

Patrick McKenzie is joined by returning guest Clara Collier, editor-in-chief of Asterisk Magazine, to discuss how working writers and reporters actually use LLMs. Patrick walks through the machinery behind his recent SPLC reporting, including "parallel construction" with LLMs: when sources can't go on the record, models can surface public confirmation of the same facts in unguarded podcast interviews, press releases, and prepared remarks. They also cover why the best smoking gun sat unnoticed on the coalition's own Twitter account, the David O. Selznick theory of the corporate memo, and where hardball politics in a democracy ends and crimes begin.–Full transcript available here: https://www.complexsystemspodcast.com/llms-and-writers-with-clara-collier-of-asterisk-magazine/–Presenting Sponsors: Mercury, MongoDB & ChainguardComplex Systems is presented by Mercury—radically better banking for founders. Mercury's new feature Command brings an LLM directly into your banking interface, so checking balances, finding invoices, or sending a wire is as easy as asking. Apply online in minutes at https://mercury.com/. What's the point of building faster with AI if your database can't keep up? MongoDB's native data model mirrors the language LLMs already speak. Ship at the speed of AI while staying ACID compliant at Fortune 500 scale. Start building at https://mongodb.com/ai.If attackers are using AI to weaponize code faster than any team can review it, your scanners won't save you. Chainguard builds libraries and container images from source, verified all the way down, with near-zero CVEs and zero malware. Build safely at https://www.chainguard.dev/. –Links:Complex Systems on YouTube: https://www.youtube.com/@patio11podcast Asterisk Magazine: https://asteriskmag.com/ –Timestamps:(00:00) Preview(00:51) Intro(01:16) How legacy media feels about LLMs(05:02) Writing as thinking: why the byline matters(08:51) LLMs as feedback partners and simulated readers(12:39) The future of the corporate memo(15:58) Sponsor: Mercury | MongoDB(18:30) Memos, de-skilling, and thinking on paper(20:02) David O. Selznick's memos and the MrBeast production doc(23:28) Can models introspect on their own work?(30:06) Sponsor: Chainguard(31:27) The SPLC investigation(37:07) Chains of evidence and protecting sources(45:20) Parallel construction with LLMs(49:41) Mining podcasts for unguarded admissions(59:35) Deepen your strengths, don't just patch weaknesses(1:03:34) The smoking gun the LLM missed(1:04:48) Hardball politics versus crimes(1:10:48) Why a payments newsletter reported a political story(1:16:19) Reporting stories that will be weaponized(1:20:24) The tech right and internal company politics(1:23:44) Debanking discourse and drawing distinctions(1:30:21) Hate speech, social sanctions, and owning decisions(1:34:51) Wrap

ai culture technology tech writing government wrap finance fortune software magazine ship preview writers reporting command mercury chains mining incentives acid parallel llm collier deepen mrbeast mongodb hardball asterisk splc memos cves debanking david o selznick patrick mckenzie chainguard

A Startup Is Trying to Buy PayPal… Craziest Deal of 2026! | E2312

Talk Python To Me - Python conversations for passionate developers

Play Episode Listen Later Jul 15, 2026 74:04

This Week In Startups is made possible by: MongoDB - MongoDB.com/ai Rippling - Rippling.ai/twist Agree.com - agree.com Today's show: Hustle Fund's Eric Bahn and Chapter One's Jeff Morris Jr. join our venture capital roundtable directly following the news breaking that Stripe wants to buy PayPal. The possible transaction highlights how little interest today's leading startups have in going public any time soon. With host Alex Wilhelm, Bahn and Morris dug into when startups should burn the boats à la Fin, physical AI as the next frontier, the power of Silicon Valley groupthink, and how startups are approaching the first days of widespread, company-specific AI evals! Guest links: Eric Bahn https://x.com/ericbahn Hustle Fund https://www.hustlefund.vc Jeff Morris Jr. https://x.com/jmj Chapter One https://chapterone.com Show links: Stripe wants to buy PayPal https://www.reuters.com/business/finance/stripe-advent-offer-buy-paypal-more-than-53-billion-sources-say-2026-07-15/ Flex https://www.flex.one/ Webflow https://webflow.com/ Oak https://www.oak.id/ Fin selling to Salesforce https://www.salesforce.com/news/press-releases/2026/06/15/salesforce-signs-definitive-agreement-to-acquire-fin/ Erebor https://erebor.bank/ "Competition is for losers" https://www.wsj.com/articles/peter-thiel-competition-is-for-losers-1410535536 Chapter One piece on the value of software https://jamesin.substack.com/p/some-areas-weve-been-investing-in Timestamps: 0:00 Eric Bahn (Hustle Fund) & Jeff Morris Jr. (Chapter One) join the show! 1:35 Stripe's reported $53B offer for PayPal 6:29 Why founders don't want to go public 10:08 Agree.com - Stop chasing invoices and automate your entire contract-to-cash stack. Go to https://agree.com and tell them Jason sent you to get 50% off for life! 15:16 When is it time to burn the boats? 20:12 MongoDB - AI-assisted and agentic coding is helping you build faster than ever. Start building at https://MongoDB.com/ai 21:16 Does VC need an AI revolution? 30:50 Rippling - Thanks to our partners at Rippling! Head to https://Rippling.ai/twist and get the only AI built to give you full visibility across your startup and take complex actions across your entire business. 32:36 Custom evals, open source models, and avoiding vendor lock-in 36:37 Physical AI and robotics as the next frontier 37:42 Oak's $60M seed and startup clusters chasing agent infrastructure 40:43 Escaping the Silicon Valley "think tank" 48:28 Consumer AI's missing wave 1:00:18 AI regulation and how to get it right 1:12:01 Where to find our guests and wrap-up! Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com Check out the TWIST500: https://www.twist500.com Subscribe to This Week in Startups on Apple: https://rb.gy/v19fcp Follow Lon: X: https://x.com/lons Follow Alex: X: https://x.com/alex LinkedIn: ⁠https://www.linkedin.com/in/alexwilhelm Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis

head ai apple startups competition silicon valley paypal morris escaping salesforce flex fin craziest bahn stripe oak mongodb 60m webflow rippling hustle fund this week in startups erebor alex wilhelm 53b jeff morris jr eric bahn

#555: Marimo Pair - A Canvas for Agent + Developers Collaboration

Play Episode Listen Later Jul 13, 2026 64:59 Transcription Available

Coding agents have gotten really good at one kind of work. You scope a feature, edit some files, run the tests, ship it. It all happens on disk. But that is not how data work feels. You load something, you look at it, you run a cell, you watch how it responds, and you decide the next move from whatever is sitting in memory. And until now, your agent couldn't see any of that. It only saw the files. Never the live state. This episode, that wall comes down. marimo pair drops a coding agent right inside a running notebook, with full access to every variable Python is holding in memory. The notebook becomes a shared canvas. You point, it runs the code. You tell it to zoom in on the Picasso paintings, and the chart just updates. No MCP tools to wire up, no schema to describe. Just Python, and an agent that can finally see what you see. Trevor Manz is back to walk us through it. Episode sponsors Sentry Error Monitoring, Code talkpython26 Talk Python Courses Links from the show marimo pair: marimo.io/pair Course transcripts announcement: talkpython.fm/blog anywidget: Jupyter Widgets made easy: talkpython.fm marimo: marimo.io blog: marimo.io GitHub: github.com given this: martinalderson.com llms.txt: talkpython.fm mcp: talkpython.fm cli: talkpython.fm open issues: github.com Discord: marimo.io Marimo Pair: marimo.io OpenCode: opencode.ai AI Tooling for Software Engineers in 2026: newsletter.pragmaticengineer.com Watch this episode on YouTube: youtube.com Episode #555 deep-dive: talkpython.fm/555 Episode transcripts: talkpython.fm Theme Song: Developer Rap

#554: Trustworthy AI in Healthcare and Longevity

Talk Python To Me - Python conversations for passionate developers

Play Episode Listen Later Jul 10, 2026 60:40 Transcription Available

You ask an AI a question and it answers with total confidence. Most of the time, a confidently wrong answer is just an annoyance. But what if the question is medical, and there's a real patient on the other end? In that world, a hallucination isn't a bug, it's a patient-safety event. Sumit Gundawar is a London-based software engineer who builds the clinical platform for a UK longevity and aesthetic-medicine clinic, and his whole argument is that in high-stakes AI, the model is the easy part. Earning trust is the real engineering. We dig into grounding, refusal logic, human-in-the-loop design, and the messy frontier of longevity and biohacking, plus a live demo of an assistant that refuses to answer when it can't back up the claim. Let's get into it. Episode sponsors Six Feet Up Talk Python Courses Links from the show Guest Sumit Gundawar: linkedin.com Course transcripts announcement: talkpython.fm/blog Sumit Gundawar - JAX London Speaker: jaxlondon.com Anthropic: anthropic.com OpenAI Platform: platform.openai.com Anthropic: anthropic.com LangChain: langchain.com OWASP: owasp.org Pydantic: pydantic.dev EU AI Act - Regulatory Framework: digital-strategy.ec.europa.eu HIPAA - HHS: www.hhs.gov NHS: www.nhs.uk Llama: llama.com Qwen - QwenLM on GitHub: github.com OpenAI Platform: platform.openai.com Hugging Face: huggingface.co Llama: llama.com Granola: www.granola.ai HIPAA - HHS: www.hhs.gov CodeRabbit: www.coderabbit.ai Cursor Origin: cursor.com GitHub Status: www.githubstatus.com Midjourney Medical: www.midjourney.com Neko Health: www.nekohealth.com CERN: home.cern ATLAS Experiment: atlas.cern Watch this episode on YouTube: youtube.com Episode #554 deep-dive: talkpython.fm/554 Episode transcripts: talkpython.fm Theme Song: Developer Rap

YouTube economics now, with Justin Kuiper

Play Episode Listen Later Jul 9, 2026 79:27

In this episode of Complex Systems, Patrick McKenzie (patio11) is joined by Justin Kuiper, a longtime writer for MatPat's Game Theory family of channels and now creator of Proof Positive, to discuss the microeconomics of YouTube. They break down how creators actually get paid — from $3–$20 CPMs and the leaky funnel where a million views yields perhaps 50,000 actual ad views, to sponsor reads, Super Chats, and MrBeast selling chocolate bars as his own advertiser of last resort. Along the way, they explore how a successful channel becomes a firm that absorbs specialist labor from less successful peers, why the algorithm gives every upload a trial by attention, and what parasocial spending has in common with Mark Twain's speaking circuit.–Full transcript available here: https://www.complexsystemspodcast.com/justin-kuiper-youtube/ –Presenting Sponsors: Mercury, Chainguard & MongoDB Complex Systems is presented by Mercury—radically better banking for founders. Mercury's new feature Command brings an LLM directly into your banking interface, so checking balances, finding invoices, or sending a wire is as easy as asking. Apply online in minutes at https://mercury.com/. If attackers are using AI to weaponize code faster than any team can review it, your scanners won't save you. Chainguard builds libraries and container images from source, verified all the way down, with near-zero CVEs and zero malware. Build safely at https://www.chainguard.dev/. What's the point of building faster with AI if your database can't keep up? MongoDB's native data model mirrors the language LLMs already speak. Ship at the speed of AI while staying ACID compliant at Fortune 500 scale. Start building at https://mongodb.com/ai.–Links:Proof Positive on YouTube: https://www.youtube.com/channel/UCns_C7cPAguFSv2YdltaOsg –Timestamps:(00:00) Preview(00:45) How creators make money on YouTube(04:06) CPMs and the international ad market(06:36) From solo creator to firm: working for MatPat(09:28) Sponsors: Mercury | Chainguard(12:30) From solo creator to firm: working for MatPat (cont'd)(13:49) YouTube as a farm league for other industries(17:15) Why now is the best time to start: discovery and universal basic attention(20:47) Power users and how recommendations work(24:23) Brand safety, rabbit holes, and the money laundering short(27:38) Fads, timing, and the day-two piece(35:52) The production function: scripts, shot lists, and editing labor(42:14) The aesthetics of authenticity(46:58) Sponsor: MongoDB(47:47) Why more people should make videos(53:52) Content marketing, sponsor reads, and remnant inventory(01:00:24) Chocolate bars, paint sets, and creator products(01:05:00) Parasocial relationships and the market in status(01:16:43) Where to find Justin: Proof Positive(01:18:58) Wrap

S5E17 - Spring Boot 4.1 with Phil Webb

Spring Office Hours

Play Episode Listen Later Jul 7, 2026 60:29

Join Dan Vega and DaShaun Carter for the latest updates from the Spring Ecosystem. In this episode, Dan and DaShaun are joined by Spring Boot co-creator and project lead Phil Webb to dig into what's new in Spring Boot 4.1. They walk through the headline features landing in this release, including Spring gRPC support, OpenTelemetry enhancements, MongoDB support for Spring Batch, AMQP 1.0, SSL support for RabbitMQ Streams, and file rotation for Log4j. You can participate in our live stream to ask questions or catch the replay on your preferred podcast platform.Show Notes: Spring Boot 4.1 Releases NotesSpring Boot 4.1 Release Highlights

ai webb ssl mongodb dashaun spring boot spring framework spring batch

The structural footprint of a bank run

Play Episode Listen Later Jul 2, 2026 40:09

Patrick McKenzie (patio11) reads his 2023 essay "Deposit Franchises as Natural Hedges," written seven weeks into that year's banking crisis, making the case that deposit franchises are a natural hedge against interest rate risk (one regional banks were quietly encouraged to sell off by loading up on agency MBS). He walks through why "sweat and smiles" deposits were assumed to be sticky enough to fund long-duration assets, why that assumption broke down for retail and sophisticated depositors alike once rates rose, and how the resulting losses moved through bank balance sheets. Patrick closes with two years of hindsight: what the essay got right and wrong about how bad it would get.–Full transcript available here: https://www.complexsystemspodcast.com/deposit-franchises/ –Presenting Sponsors: Mercury, MongoDB & ChainguardComplex Systems is presented by Mercury—radically better banking for founders. Mercury's new feature Command brings an LLM directly into your banking interface, so checking balances, finding invoices, or sending a wire is as easy as asking. Apply online in minutes at https://mercury.com/. What's the point of building faster with AI if your database can't keep up? MongoDB's native data model mirrors the language LLMs already speak. Ship at the speed of AI while staying ACID compliant at Fortune 500 scale. Start building at https://mongodb.com/ai.If attackers are using AI to weaponize code faster than any team can review it, your scanners won't save you. Chainguard builds libraries and container images from source, verified all the way down, with near-zero CVEs and zero malware. Build safely at https://www.chainguard.dev/. –Links:Deposit franchises as natural hedges: https://www.bitsaboutmoney.com/archive/deposit-franchises-as-natural-hedges/ –Timestamps:(00:00) Intro(03:48) Natural hedges(07:38) Deposit franchises as an asset(10:53) The value of a deposit franchise increases with interest rates(11:30) A brief aside about deposit beta(14:58) Sponsors: Mercury | MongoDB(17:30) A brief aside about deposit beta(18:05) The deposit franchise as a hedge(21:52) Regional banks were instructed to load up on agency MBS(25:09) Why did the hedge bust?(29:42) Sponsor: Chainguard(31:03) Further bad news: the problem is bigger than MBS(34:01) It is no longer February(34:51) “Why didn't the hedger hedge?!”(35:37) So what do we do now?(37:59) Postscript(39:45) Wrap

AI Is Redefining Seller Productivity with Alex Varel

Talk Python To Me - Python conversations for passionate developers

Play Episode Listen Later Jun 28, 2026 11:07

Seller productivity is being redefined in real time, and the divide is no longer about effort or experience. In this segment, Alex Varel shares a grounded look at how AI is already reshaping the role, from a RevOps leader training multiple agents in a single weekend to the expectation that sellers will augment their own output. The conversation highlights a growing reality for revenue teams: those who get hands-on with AI will operate at a different level, while those who don't risk falling behind faster than they expect. Alex Varel is EVP of Worldwide Sales at Cerebras Systems, where he leads global go-to-market efforts at the forefront of AI infrastructure. He has built and scaled high-performing teams across MongoDB, Zscaler, and Multiverse, driving growth through IPO, hyper-scale expansion, and emerging technology shifts. Connect with Alex: LinkedIn Resources mentioned: "The Power of Myth" by Joseph Campbell "AI Superpowers" by Kai-Fu Lee “Leonardo da Vinci” by Walter Isaacson "No Country for Old Men" by Cormac McCarthy "The Road" by Cormac McCarthy “The Founders: The Story of Paypal and the Entrepreneurs Who Shaped Silicon Valley” by Jimmy Soni Listen to the full episode: How AI Is Rewriting the Sales Playbook and Raising the Bar on Human Performance with Alex Varel Hosted by five-time CRO John McMahon and Force Management Co-Founder John Kaplan, the Revenue Builders podcast goes behind the scenes with the sales leaders who have been there, done that, and seen the results. This show is brought to you by Force Management. We help companies improve sales performance, executing their growth strategy at the point of sale. Connect with Us: LinkedInYouTubeForce Management

ai power myth raising productivity bar paypal redefining ipo multiverse sellers evp vinci cro old men human performance revenue growth mongodb sales leadership enterprise sales revops zscaler sales playbook cerebras sales productivity worldwide sales cerebras systems entrepreneurs who shaped silicon valley force management

#553: All of our tools

Play Episode Listen Later Jun 26, 2026 55:15 Transcription Available

This episode is a fun crossover from our Python news and tips podcast, Python Bytes. We have had some big changes over there. Brian Okken has moved on and Calvin Hendryx-Parker has joined the show as the new co-host. To kick off this new era, we decided to do a longer and more personal episode called "All Our Tools". The idea is both of us talk about some of our most useful day-to-day developer and business owner tools that we think you all would find useful. It was so well received, that I'm bringing it to you all as a crossover episode. Enjoy and we hope you find something new and awesome to help you with your software and data science day to day. Episode sponsors Sentry Error Monitoring, Code talkpython26 Python in Production Talk Python Courses Links from the show @calvinhp@sixfeetup.social: sixfeetup.social @calvinhp.com: bsky.app calvinhp.com: calvinhp.com Original airing on Python Bytes: pythonbytes.fm pi: pi.dev superpowers: github.com Warp.dev: Warp.dev OhMyZSH: ohmyz.sh Commandbookapp.com: Commandbookapp.com Blink: blink.sh kitty: sw.kovidgoyal.net mosh: mosh.org tmux: github.com Claude code: www.anthropic.com Claude.md: Claude.md MacWhisper: goodsnooze.gumroad.com Handy: handy.computer Tailscale: tailscale.com Talk Python episode with Alex: talkpython.fm Telescopo: www.telescopo.app Typora markdown: typora.io formal documentation for many of my open source packages: mkennedy.codes Great Docs: posit-dev.github.io Statement on the US government directive to suspend access to Fable 5 and Mythos 5: www.anthropic.com No second date: x.com Watch this episode on YouTube: youtube.com Episode #553 deep-dive: talkpython.fm/553 Episode transcripts: talkpython.fm Theme Song: Developer Rap

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How Supabase became the essential infrastructure for the AI era | Paul Copplestone (Co-founder, CEO)

In Depth

Play Episode Listen Later Jun 25, 2026 59:53

In this episode of In Depth, Brett sits down with Paul Copplestone, co-founder and CEO of Supabase, the open-source Postgres platform now serving more than seven million developers. Before Supabase, Paul launched a Thumbtack-style marketplace in Southeast Asia and co-founded an office-management startup called Nimbus, experiences that taught him to separate fundraising from building and to find product-market fit before blitzscaling. He breaks down how a single tagline change for Supabase unlocked product-market fit, why he runs a fully distributed async team with near-zero attrition, and how he turned PLG signals into a product-led sales motion comped only on incremental uplift. In today's episode, we discuss: How changing one tagline helped Supabase go to #1 in Hacker News - an early sign of product market fit Why Paul ran Supabase like it had only $100K in the bank despite raising real money How Supabase rode three distinct AI waves, from pgvector to Bolt and Lovable, to Claude Code Why Supabase built a sales team comped only on the incremental uplift over a control group What the Toyota production system's "kaizen" taught Paul about unblocking a scaling team References: Ant Wilson: https://www.linkedin.com/in/ant-wilson-46179937 Bolt: https://bolt.new/ Claude Code: https://www.anthropic.com/claude-code Codex: https://openai.com/codex/ Entrepreneurs First: https://www.joinef.com/ Firebase: https://firebase.google.com/ Lovable: https://lovable.dev/ MongoDB: https://www.mongodb.com/ Next.js: https://nextjs.org/ PostgreSQL: https://www.postgresql.org/ Supabase: https://supabase.com/ Thumbtack: https://www.thumbtack.com/ Y Combinator: https://www.ycombinator.com/ Where to find Paul: LinkedIn: https://www.linkedin.com/in/paulcopplestone Twitter/X: https://x.com/kiwicopple Where to find Brett: LinkedIn: https://www.linkedin.com/in/brett-berson-9986094/ Twitter/X: https://twitter.com/brettberson Where to find First Round Capital: Website: https://firstround.com/ First Round Review: https://review.firstround.com/ Twitter/X: https://twitter.com/firstround YouTube: https://www.youtube.com/@FirstRoundCapital This podcast on all platforms: https://review.firstround.com/podcast Timestamps: 00:00 Introduction 01:32 Why Paul's earlier startups were never destined to be huge 07:14 Unlearning the "tall poppy" mindset and going all-in on async 09:54 Reverse-engineering why Supabase was an outstanding idea 12:04 The accidental Hacker News launch and tagline lesson 13:58 Where the early roadmap came from: demand vs. technical taste 17:28 Skill vs. luck, and operating like you have $100K in the bank 21:42 What actually makes a great developer experience 23:10 Solving the "graduation problem" Firebase never could 24:58 The role of open source in Supabase's success 26:10 The three distinct AI tailwinds: From pgvector to Claude Code 35:24 Supabase's egoless, hyper-competitive open-source culture 42:58 A tactical playbook for raising capital 48:37 Product-led sales comped on incremental uplift only 59:27 The production philosophy behind Supabase's operations

Forty ways to pay for coffee in Japan

Talk Python To Me - Python conversations for passionate developers

Play Episode Listen Later Jun 25, 2026 35:20

Patrick McKenzie (patio11) reads his 2021 essay "Payments in Japan," tracing how Japanese consumers navigate a landscape with dozens of competing payment methods at once: credit cards, electronic money, QR-code super apps, convenience-store cash vouchers, and bank transfers. Along the way he covers the JFTC's campaign to force credit card networks to disclose interchange rates, how Rakuten and 7-Eleven each bought a bank to solve a payments problem blocking their core business, why PayPay's subsidized 2018 launch let it run away with the QR code market, and why konbini payments remain popular despite a user experience frozen in the late 1990s.–Full transcript available here: https://www.complexsystemspodcast.com/japanpayments/ –Presenting Sponsors: Mercury & MongoDBComplex Systems is presented by Mercury—radically better banking for founders. Mercury's new feature Command brings an LLM directly into your banking interface, so checking balances, finding invoices, or sending a wire is as easy as asking. Apply online in minutes at https://mercury.com/. What's the point of building faster with AI if your database can't keep up? MongoDB's native data model mirrors the language LLMs already speak. Ship at the speed of AI while staying ACID compliant at Fortune 500 scale. Start building at https://mongodb.com/ai.–Links:Payments in Japan: https://www.bitsaboutmoney.com/archive/payments-in-japan/ An Introduction to Japanese Society: https://www.amazon.co.jp/Introduction-Japanese-Society-Yoshio-Sugimoto/dp/1107626676/ Use transit cards on your iPhone or Apple Watch in Japan: https://support.apple.com/en-us/120474 –Timestamps:(00:00) Intro(02:44) Credit cards(10:40) Payment method heterogeneity(12:57) Cash(14:57) Sponsors: Mercury + MongoDB(17:29) Cash (cont'd)(19:58) Electronic money systems(22:13) App-based payments(28:27) Convenience store payments(31:27) Bank transfers(34:03) Ambitions thwarted(34:30) Wrap

Scaled MongoDB From $35M to $2B — Why He HATES the Word Playbook

Hunters and Unicorns

Play Episode Listen Later Jun 24, 2026 56:10

What does it really take to scale a software company from $35M to $2B ARR? In this episode of Hunters & Unicorns, Simon Kouttis and Ollie Kuehne sit down with Dan Barrett, SVP International at Figma and former MongoDB leader, to unpack the lessons behind one of SaaS's most remarkable growth stories. Dan shares why he hates the word "playbook," how MongoDB evolved through multiple sales transformations, and why the best leaders focus on developing people—not following a rigid process. The conversation explores authenticity in leadership, building high-performance teams, scaling PLG and enterprise sales motions, customer success, AI's impact on software sales, and the leadership lessons that helped Dan grow from a first-time manager into one of the industry's most respected sales leaders. In this episode: • Scaling MongoDB from $35M to $2B ARR • Why Dan hates the term "playbook" • The leadership epiphany that changed his career • Building trust without fear or intimidation • PLG vs enterprise sales models • What great sales organizations do differently • How to develop future sales leaders • Why authenticity is a leadership superpower • AI, SaaS, and the future of enterprise sales Subscribe for more conversations with the leaders building the next generation of SaaS companies. #HuntersAndUnicorns #DanBarrett #Figma #MongoDB #SalesLeadership #SaaS #EnterpriseSales #PLG #CustomerSuccess #b2bsales Timestamps: 0:00 — Trailer 1:02 — Introduction & Sponsor 1:56 — Welcome Dan Barrett 2:35 — Dan's Career & the Epiphany Moment 9:00 — Pressure Before the Epiphany 10:02 — QBRs With John McMahon 11:50 — Fighting for Space to Change 13:37 — From MongoDB to Figma 17:21 — Where PLG Goes Wrong 19:00 — Rethinking the Playbook 23:55 — Learning What Works at Figma 31:46 — Playbook vs Authenticity 33:32 — Moving Into Customer Success 38:06 — Knowing When to Leave MongoDB 41:00 — Sustaining Energy for Nearly a Decade 43:31 — Hunters & Unicorns Origin Story 48:21 — Will Salespeople Survive AI 51:20 — The Future of Figma 54:03 — Closing

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#552: Astral joins OpenAI

Play Episode Listen Later Jun 17, 2026 65:08 Transcription Available

OpenAI just acquired Astral, the company behind uv, Ruff, and ty. And if your first thought was "wait, is uv toast?", you are not alone. But here's the twist Charlie Marsh shared with me: he thinks they may ship more open source at OpenAI than they ever did at Astral. On this episode, we get into the acquisition, the mixed feelings, the future of your favorite Python tools, and what it's like to build right at the center of the AI universe. Episode sponsors Sentry Error Monitoring, Code talkpython26 Talk Python Courses Links from the show Guest Charlie Marsh: github.com The announcement: astral.sh OpenAI: openai.com uv: github.com ty: github.com Ruff: github.com pyx: astral.sh Codex team: openai.com Anthropic did something similar by acquiring Bun: www.anthropic.com Daily Stars Explorer: emanuelef.github.io Agentic AI Programming for Python: training.talkpython.fm Python Web Security: OWASP Top 10 with Agentic AI: training.talkpython.fm Episode #552 deep-dive: talkpython.fm/552 Episode transcripts: talkpython.fm Theme Song: Developer Rap

#551: Stroll Down Startup Lane - 2026

Talk Python To Me - Python conversations for passionate developers

Play Episode Listen Later Jun 11, 2026 108:54 Transcription Available

If you've ever been to PyCon, you know one of the best parts of the expo hall is Startup Row, a stretch of booths where early-stage companies built on Python show off what they're creating. But only attendees get to walk that lane, so let's bring it to everyone. In this episode, we stroll down Startup Row together. We kick things off with the organizers, Jason and Shay, who share the program's origin story going back to Paul Graham and the PSF, plus some surprising stats, including two unicorns among the alumni. Then we meet five startups: Tetrix, bringing AI to institutional investing in private markets. Arcjet, security that lives inside your app as an SDK. Phemeral.dev, serverless hosting built for Python web apps. CapiscIO, an identity and authority layer for AI agents. And Pixeltable, a multimodal database from Marcel Kornacker, co-creator of Apache Parquet. See if you can spot the theme running through them all. Let's go for a walk. Episode sponsors AgentField AI Talk Python Courses Links from the show Guests Naunidh Bhalla: linkedin.com Grant Gittes: linkedin.com Marcel Kornacker: linkedin.com Beon de Nood: linkedin.com Chinmaya Joshi: linkedin.com David Mytton: linkedin.com Shea Tate-Di Donna: linkedin.com Jason Rowley: linkedin.com Azul Garza: github.com Renée Rosillo: linkedin.com Tetrix: tetrix.co Tetrix Jobs: tetrix.co Arcjet: arcjet.com Pixeltable: pixeltable.com Phemeral.dev: phemeral.dev CapiscIO: capisc.io Episode #551 deep-dive: talkpython.fm/551 Episode transcripts: talkpython.fm Theme Song: Developer Rap

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