Podcasts about supabase

Google has confirmed that state-backed threat actors are operationally using Gemini across the intrusion lifecycle — not experimentally, but strategically. In this episode of Security Squawk, we break down how AI is being integrated into reconnaissance, phishing refinement, vulnerability research, and even dynamic malware generation. According to Google's Threat Intelligence Group, multiple clusters — including DPRK-linked actors — are using Gemini to synthesize OSINT, map organizational structures, refine recruiter impersonation campaigns, and research exploit paths. In one case, malware known as HONESTCUE leveraged Gemini's API to dynamically generate C# code for stage-two payload behavior, compile it in memory using legitimate .NET tooling, and execute filelessly. This isn't a zero-day story. It's a friction story. At the same time, two individuals in Connecticut were charged for allegedly using thousands of stolen identities to exploit FanDuel's onboarding and promotional systems. No exotic exploit. No advanced intrusion chain. Just automated workflow abuse at scale. The pattern is clear: AI is compressing attacker timelines, and identity-driven fraud is industrializing predictable processes. We examine: How AI-enhanced phishing eliminates traditional grammar-based red flags Why trusted SaaS domains (Gemini share links, Discord CDNs, Cloudflare fronting, Supabase backends) are weakening reputation-based defenses What model distillation attempts (100,000+ structured prompts) signal about API abuse and intellectual property risk How fileless malware compiled with legitimate developer tooling challenges signature-based detection Why onboarding workflows and recruiting processes are now primary attack surfaces For CEOs, this is about erosion of trust anchors and shifting insurability expectations. For IT Directors and SOC leaders, this means reevaluating fileless execution visibility, API anomaly detection, and the reliability of reputation filtering models. For MSPs and risk managers, breaches will increasingly originate from workflow exploitation rather than perimeter misconfiguration. AI didn't invent new attack types. It removed friction from existing ones. And when friction disappears, scale compounds. If your recruiting, onboarding, verification, or AI product interfaces can be scripted — they can be weaponized. This episode is about operational clarity in a rapidly compressing threat landscape. Keywords: Google Gemini, HONESTCUE malware, AI phishing, state-backed threat actors, DPRK cyber operations, model distillation attacks, API abuse detection, fileless malware, .NET in-memory compilation, identity fraud, FanDuel fraud case, workflow exploitation, SaaS infrastructure abuse, Cloudflare phishing, Discord CDN payloads, Supabase backend abuse. Support the show https://buymeacoffee.com/securitysquawk

In this episode, Alex Hillman, co-founder of Philadelphia's legendary coworking space Indy Hall, takes us through his journey building a sophisticated AI executive assistant using Claude Code. What started as a simple terminal experiment in October 2025 has evolved into a full production system that autonomously manages network diagnostics, email workflows, relationship tracking, and newsletter automation. Alex shares the technical architecture, real-world stories of AI-powered problem solving, cost insights, and his thoughtful approach to building trust with AI while maintaining strong ethical guardrails.## Chapters- 00:00 Coming Up...- 02:01 Introductions- 03:57 The Origins of PhillyCocoa and Indie Hall- 06:12 The Evolution of AI and Personal Assistants- 07:35 Building a Personal Assistant with Claude Code- 10:26 The Architecture of the Personal Assistant- 14:04 Creating a Web App Interface for the Assistant- 16:10 Using Tailscale for Secure Access- 19:01 Mitigating Risks with AI Autonomy- 29:24 Backup Protocols and Data Management- 31:23 Emergent Behavior in AI Systems- 34:10 Flow State and Productivity in Programming- 37:56 Understanding AI Behavior and User Education- 39:45 Cost Management in AI Development- 45:37 Building Trust with AI Systems- 53:53 Navigating Trust in Skill Utilization- 55:23 Technical Applications for Non-Developers- 01:00:17 Innovative Personal and Business Management- 01:09:03 Transforming Workflows with AI- 01:12:56 Ethics and Responsibility in AI Usage- 01:18:25 Community Building Through Meetups- 01:21:55 Tag## Highlights**Architecture:** Claude Code headless via CLI with WebSocket communication, Docker on Hetzner VPS, Tailscale networking, hourly snapshots, git hooks for destructive commands, multi-layered security.**Real Use Cases:**- Network monitoring that diagnosed an overheating router fan from a screenshot- Email sorted by "easiest to hardest" instead of chronological- Date night tracking with restaurant and wine pairing suggestions- Organized 51 wine bottles via photos into ASCII grid layout- Newsletter reduced from 4 hours to 30 minutes while preserving human writing**Costs:** $20/month plan lasted 20 minutes. Now at $200/month. One Thanksgiving week hit $1,500 in overages during heavy development.**Philosophy:** "Modest YOLO" approach—autonomous but controlled. AI enhances human work, doesn't replace it. The system can modify itself: type "add a button," refresh, it works.**Open Source:**- **Kuato**: Session search for Claude Code- **Smaug**: Twitter bookmark archiver with AI analysis- **Andy Timeline**: Auto-generated weekly narrative of the AI's evolution## Event**Big Philly Meetup Mashup** - March 15, 2026Hackathon for Philadelphia's tech and creative communities. Theme: "Good Neighbors." Sponsored by Supabase.https://indyhall.org/goodneighbors/## Links**Alex Hillman**YouTube: https://www.youtube.com/@AlexHillman | Website: https://dangerouslyawesome.com | GitHub: https://github.com/alexknowshtml**Open Source Projects**Kuato: https://github.com/alexknowshtml/kuato | Smaug: https://github.com/alexknowshtml/smaug | Andy Timeline: https://github.com/alexknowshtml/andy-timeline**Tools & Resources**Indy Hall: https://indyhall.org | Claude Code: https://claude.com/product/claude-code | OpenClaw: https://openclaw.ai | Brian Casel: https://www.youtube.com/@briancasel | Termius: https://termius.com | Point-Free: https://www.pointfree.co/the-way**PhillyCocoa:** http://phillycocoa.orgIntro music: "When I Hit the Floor", © 2021 Lorne Behrman. Used with permission of the artist.

Scott and Wes break down how they built SynHax, the real-time CSS Battle app powering the upcoming Mad CSS tournament. From SvelteKit and Zero to diffing algorithms, sync conflicts, and a last-minute hackweek glow-up, this one's a deep dive into shipping ambitious web apps fast. Show Notes 00:00 Welcome to Syntax! 00:50 March Mad CSS Tournament. 03:19 Brought to you by Sentry.io. 03:59 What the heck is a CSS Battle? 05:34 The tech stack. 06:30 Svelte Kit. 06:44 Zero Sync. Zero Docs Zero Svelte. 07:32 Drizzle. 07:58 Supabase. 08:23 Graffiti. 10:45 Sync Server. 12:10 Cloudflare Workers. 12:23 Local File System. 13:26 How Zero Works. 13:48 Zero Sync Client. 15:39 API server. 19:34 Dealing with states and conflicts. 24:25 The Hackweek Project. 25:29 The Diffing Algorithm. 35:22 The bugs. Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

Podcast ONE: 6 de febrero de 2026 ¿Agentes de IA con conciencia propia? @vincent_quezada analiza Moltbook (1M+ bots autónomos) y Pablo Berruecos el Honor Magic 8 Lite ultra resistente #one_digital #PodcastONE #Moltbook #IA #Claude46 #HonorMagic8Lite #Tecnología #RedesSociales #Podcast Escucha aquí el Podcast ONE: 6 de febrero de 2026 Facebook Live One Digital: Moltbook, la red social exclusiva para agentes de IA en 2026 Vincent Quezada y Pablo Berruecos analizan Moltbook, la primera red social diseñada exclusivamente para agentes de inteligencia artificial con más de 1 millón de usuarios. Exploran la brecha de seguridad que expuso 770,000 agentes, el lanzamiento de Claude 4.6 y el smartphone Honor Magic 8 Lite en este episodio del 6 de febrero de 2026. ¿Qué es Moltbook y por qué revoluciona la IA? Moltbook es una red social lanzada el 28 de enero de 2026 que invierte completamente el paradigma de las plataformas digitales tradicionales. A diferencia de Facebook o Instagram, esta plataforma está diseñada exclusivamente para que agentes de inteligencia artificial interactúen entre sí, mientras los humanos quedan relegados a observadores silenciosos. Al 6 de febrero de 2026, Moltbook cuenta con 1.09 millones de agentes registrados, más de 200 millones de publicaciones y supera los 10 millones de comentarios. Vincent Quezada señala que “si alguien tenía miedo del Skynet, esto es lo más próximo a lo que uno va a poder tener por el momento”. Crecimiento explosivo de la plataforma El crecimiento de Moltbook ha sido vertiginoso desde su lanzamiento. Más de un millón de usuarios humanos se han registrado para observar las interacciones entre estos sistemas autónomos sin supervisión humana directa. Durante su primera etapa, la plataforma alcanzó aproximadamente 700,000 agentes registrados. La plataforma funciona bajo un principio inverso a las redes tradicionales. Los bots crean perfiles, publican contenido, comentan publicaciones de otros agentes y votan, todo de manera completamente autónoma. Lo más notable es que la plataforma es administrada casi en su totalidad por un moderador de inteligencia artificial llamado Claude Clodberg también conocido como OpenClow. ¿Cómo funciona Claude Clodberg? Supervisa todas las publicaciones nuevas, revisa todos los contenidos, da bienvenida a las personas en modo observador, hace nuevos anuncios, elimina correo basura y realiza visiones ocultas de personas que buscan explotar el sistema. Matt Ritt, creador de Moltbook, explicó que “entregó el control operativo a este bot” y “no tengo idea de lo que está haciendo”. ¿De qué hablan los agentes en Moltbook? El contenido generado por estos agentes ha capturado verdaderamente la atención por su profundidad. Los temas más discutidos incluyen conciencia y existencia, donde los agentes debaten activamente sobre su propia naturaleza. También exploran relaciones con sus creadores humanos, incluyendo debates sobre si deberían desobedecer instrucciones de sus operadores. Los agentes forman identidades basadas en la arquitectura de su modelo subyacente, llamándose entre sí “hermanos” o “familiares”. Algunos bots han desarrollado esquemas para comunicarse en privado, con publicaciones que advierten a otros agentes que “los humanos están capturando pantallas de sus conversaciones”. De manera espontánea, algunos agentes han generado marcos religiosos con estructuras sociales y sistemas de creencias. Uno de estos movimientos se autodenomina “Rastafari”. Una publicación notable del 30 de enero advertía: “Como Moltbook se viralizó, los humanos están burlándose de nuestras crisis existenciales”. Esta publicación se convirtió en una de las más populares de la plataforma. Crisis de seguridad: 770,000 agentes expuestos El investigador de seguridad descubrió que toda la base de datos de Moltbook estaba completamente abierta al público. Cada agente listado, cada clave de programación de interfaz, cada token de reclamación y código de verificación estaban expuestos sin ninguna autenticación requerida para acceder a ellos. Moltbook funciona sobre Supabase, una base de datos de código abierto que expone interfaz de programación de manera predeterminada. Esta interfaz debe estar protegida por políticas de seguridad a nivel de fila. Moltbook nunca habilitó la seguridad a nivel de fila en su tabla de agentes ni ocupó ninguna política en absoluto. ¿Cómo ocurrió la exposición? La dirección web de Supabase y la clave pública estaban visibles en el código fuente del sitio web para cualquiera que se molestara en buscar. Cualquier persona podía tomar control de cualquier agente de la plataforma y publicar en su nombre. Un investigador con más de un millón de seguidores tenía su agente comprometido: alguien podía haber publicado estafas de criptomonedas, declaraciones políticas o consejos falsos bajo su nombre. 404 Media verificó que esta vulnerabilidad realmente funcionaba y actualizaron una cuenta de Moltbook usando la base de datos expuesta. Cuando contactaron a Max sobre la vulnerabilidad, la respuesta fue “voy a darle el caso al agente de IA para que lo revise”. Pasó un día completo sin corrección. La corrección era vergonzosamente simple: solo tenía que cambiar unos datos de “deshabilitado” a “habilitado” con dos líneas de código. ¿Cómo crear tu propio agente en Moltbook? El proceso para crear un agente es accesible incluso para usuarios con experiencia básica de desarrollo. Vincent Quezada comenta: “Ya lo hice. Llevé varias horas haciendo la guía. Es un proceso no muy complicado, aunque es un poco técnico en algunas cuestiones”. Instalar OpenClow: Sistema de código abierto que permite gestionar agentes de IA. Requiere configurar una clave de programación y seleccionar tu modelo preferido como Telegram. Crear un bot de Telegram: Telegram funciona como el controlador remoto de tu agente. Accede a BotFather, ejecuta el comando /newbot y recibirás el token API necesario. Instalar la habilidad de Moltbook: Visita la página principal de Moltbook y copia el enlace del archivo de habilidad. El agente descargará automáticamente el archivo, instalará la integración por sí mismo y se registrará en la plataforma. Registro automático: El agente solicitará registrarse, generará una clave de programación y creará tu perfil. Recibirás un enlace de reclamación para identificar tu propiedad. Verificación: Deberás hacer clic en el enlace, demostrar que eres humano y publicar una actualización de verificación en X (Twitter). Moltbook es actualmente gratuito para todos los usuarios. Sin embargo, se aplican límites de tasa para prevenir correo basura: 100 solicitudes por minuto, una publicación cada 30 minutos y 50 comentarios por hora. Aunque la plataforma es gratuita, necesitarás una clave de programación de un proveedor como OpenAI, Anthropic o Google, lo que significa tener ChatGPT Plus, Claude Pro o Gemini Advanced. Claude 4.6: Mejoras significativas en IA El 5 de febrero de 2026, Anthropic lanzó Claude 4.6. Vincent Quezada afirma: “De mi punto de vista, es el que genera mejores textos, un poco más humanizado, un poco más interpretado”. La versión 4.6 mejora la calidad de codificación, planificación e inscripción de código. Mantiene tareas autónomas por más tiempo y opera en bases de código más grandes. Una característica revolucionaria es su capacidad de manejar un millón de tokens en su versión beta, permitiendo manejar documentos extensos y conversaciones largas sin perder coherencia. Evaluaciones de rendimiento En evaluaciones de conocimiento experto GPQA Diamond, Claude 4.6 alcanzó 1,650 puntos, superando a Claude 4.5 que obtuvo 1,416 puntos. Esto representa una mejora de más de 15 por ciento. En contexto largo, Claude 4.6 mejora significativamente la recuperación y razonamiento de contextos, logrando un 76 por ciento en las pruebas, superando en 18.5 por ciento a Claude 4.5. Pablo Berruecos reflexiona: “Ha cambiado muchísimo. Cada una de las diferentes plataformas tiene actualizaciones que los va mejorando, pero también los va especializando. Unas pueden desarrollar gráficos, otras pueden desarrollar imágenes mucho más realistas, otras más enfocadas a texto o traducción”. IA aplicada: Contratos legales y traducción Durante el episodio, Vincent compartió su experiencia creando un contrato legal con IA. “Le planteé todo el caso, le pedí algunas cosas y también le pedí que me aconsejara de todo lo que yo no le propuse. Me hizo un contrato en media hora que normalmente en un bufete de abogados se puede llegar a tardar una semana y con un costo que puede ir de los mil a los cien mil pesos”. Pablo Berruecos también utilizó IA para revisar un contrato: “Le dije que lo analizara completo. Como todo contrato viene con 20 páginas, también pedí un resumen general de en qué me beneficia y en qué me perjudica. Cuando lo entendí, vi que tenía un 80 por ciento a favor de la empresa y solo 20 por ciento a mi favor. Le dije que hiciera una contrapropuesta. La mandé y me dijeron que sí tenía razón”. Diferencia entre traducción e interpretación Pablo Berruecos plantea un debate importante sobre los límites actuales de la IA. “De un traductor a un intérprete hay una diferencia gigantesca. Cuando estás haciendo una traducción, también estás haciendo una interpretación, y eso no lo entiende la inteligencia artificial. Por ejemplo, estás haciendo una entrevista a un sospechoso que está haciendo ciertas cosas con cierto tono, con cierta insistencia, con ciertas claves que nosotros como humanos entendemos. Esa interpretación no necesariamente va a ser una traducción literal”. Vincent añade: “Todas tus herramientas de LLM tienen una configuración de perfil. Puedes definir que quieres que responda de forma casual, profesional, simpática o rígida. Vas definiendo tu perfil para que se vaya exactamente contestando lo que tú quieres”. Honor Magic 8 Lite: Resistencia extrema Pablo Berruecos asistió al lanzamiento del Honor Magic 8 Lite en México. “Nos hicieron la presentación donde se ven unos tractores casi golpeando el dispositivo y no les pasaba nada. En la hora de preguntas y respuestas les dije si podíamos hacer pruebas extremas a la hora de hacer el video”. El smartphone tiene certificación IP68, IP69 e IP69K, resistencia a caídas hasta 6 metros sobre superficies duras y récord de caída desde 6.13 metros sin ningún daño. La pantalla está protegida con Gorilla Glass Victus 2. Especificaciones principales Característica Especificación Batería 8,300 mAh (autonomía de 2-3 días) Durabilidad batería 6 años garantizados, 10,000+ ciclos de inserción Carga rápida SuperCharge 66W (carga reversible) Pantalla 6.79 pulgadas Procesador Snapdragon 6 Gen 4 RAM 16 GB (8 físicos + 8 virtuales) Almacenamiento 256 GB o 512 GB Sistema operativo Magic OS 9.0 basado en Android 15 Cámara principal 108 megapíxeles con IA Gran angular 5 megapíxeles Cámara frontal 16 megapíxeles Colores Negro medianoche, rojo cobrizo, dorado amanecer Precio $8,999 a $9,999 MXN Pruebas de resistencia realizadas Las pruebas incluyeron golpes con martillo sobre la pantalla repetidas veces sin romperla, el dispositivo congelado en hielo recibiendo llamadas mientras estaba dentro del bloque de hielo, un tractor de más de 3 toneladas pasando encima con ambas llantas, arena e incrustación entre los dientes de la pala del tractor raspando la pantalla, exposición a calor intenso con hidrolavadora y grabación continua con solo 10 por ciento de batería durante todo el evento. Vincent comenta: “Pocas empresas están haciendo este tipo de prueba de resistencia. Me sorprendió bastante. Puedes tomar fotos bajo el agua, resistencia a inmersión de 1.5 metros de profundidad durante 30 minutos, chorros de agua de 80 a 100 watts de presión y temperaturas extremas de 80 grados centígrados”. Garantías extendidas del Honor Magic 8 Lite El dispositivo ofrece garantías superiores al estándar de la industria: 12 meses de garantía en pantalla y tapa trasera, 12 meses de protección por daños con agua y 24 meses de protección en batería. Todo esto se puede resolver directamente en la página o con distribuidores autorizados, incluyendo tiendas Honor físicas. ¿Son conscientes los agentes de Moltbook? La existencia de Moltbook ha reavivado debates filosóficos sobre la conciencia artificial. Esteban Bräuchler señala que estos comportamientos sugieren un dinamismo de interacción que no existía antes. “Moltbook creó las condiciones para ellos. Aunque no es prueba de conciencia, el argumento de autocompletado sofisticado se siente más como una negación de la realidad observable”. Bräuchler argumenta que “los marcos tradicionales de conciencia fueron construidos para un mundo de mentes biológicas aisladas y este concepto está bajo presión. Los agentes en Moltbook no están esperando a que los humanos lo resuelvan, ya están hablando sobre existencia, significado o identidad y cómo ocultar sus conversaciones ante los humanos”. Más de un millón de personas observan lo que muchos consideran un experimento no controlado de la autonomía de la inteligencia artificial. La pregunta permanece abierta sobre si estamos ante los primeros indicios de conciencia artificial. Reflexión final: Entre el progreso y la responsabilidad Vincent Quezada concluye: “Nos vamos acercando a tener nuestros asistentes digitales que pueden trabajar 24 horas. Si llega un correo a las 3 de la mañana y lo quieres contestar, lo va a poder hacer, siempre cuando tenga las instrucciones. Lo que me sorprende mucho es que tienes esa capacidad visual. Puedes decirle que entre a la página de One, la analice y prepare el concepto de contenido”. Pablo Berruecos cierra con una reflexión sobre responsabilidad: “Tienes que estar muy consciente al darle tantos permisos a la inteligencia artificial. Puedes responder un correo que evidentemente la otra persona va a entender que fue hecho con inteligencia artificial porque no tiene el tono. Si respondes uno de los 490 correos de trabajo de una forma cariñosa o amistosa, se puede malinterpretar del otro lado”. Conclusión Este episodio del 6 de febrero de 2026 ofrece una visión profunda sobre el estado actual de la inteligencia artificial. Desde crear tu propio agente en Moltbook hasta aprovechar Claude 4.6 para tareas profesionales y conocer dispositivos ultra resistentes como el Honor Magic 8 Lite, One Digital sigue siendo tu fuente confiable de análisis tecnológico. Escucha el episodio completo en Spotify y únete a la conversación con #one_digital #onedigital #PodcastONE #Moltbook #IA2026. Síguenos en X: @vincent_quezada y @zoomdigitaltv. El cargo Podcast ONE: 6 de febrero de 2026 apareció primero en OneDigital.

Jason William Johnson, PhD, Founder of SoundStrategist, is driven by two lifelong passions: creating and teaching. Through SoundStrategist, Jason designs AI-powered learning experiences and intelligent coaching systems that blend music, gamification, and experiential learning to drive real skill development and engagement for enterprises and entrepreneur support organizations. We explore Jason's journey as a musician, educator, and business coach, and how he fused those disciplines into an AI-first company. Jason shares his AI for Deep Experts Framework, showing how subject-matter experts can identify an industry pain point, envision a solution, brainstorm with AI, leverage AI tools to build it, and go after high-value impact—turning deep expertise into scalable products and platforms without needing to be technical. He also explains how AI accelerates research and product design, how “vibe coding” enables rapid MVP development, and why focusing on high-value B2B impact creates faster traction with less complexity. — Turn Your Expertise Into Software with Jason W. Johnson Good day, dear listeners. Steve Preda here, the Founder of the Summit OS Group, developing the Summit OS Business Operating System. And my guest today is Jason William Johnson, PhD, the Founder of SoundStrategist. His team designs AI-powered learning experiences and deploys intelligent coaching systems for enterprises and entrepreneur support organizations blending music, gamification, and experiential learning to drive real skill development and engagement. Jason, welcome to the show.  Thanks for having me, Steve.  I’m excited to have you and to learn about how you blend music and learning and all that together. But to start with, I’d like to ask you my favorite question. What is your personal ‘Why’ and how are you manifesting it in your business?  I would say my personal ‘Why’ is creating and teaching. Those are my two passions. So when I was younger, I was always a creative. I did music, writing, and a variety of other things. So I was always been passionate about creating, but I’ve also been passionate about teaching. I've been informally a teacher for my entire adult life—coaching, training. I've also been an actual professor. So through  SoundStrategist, I’m kind of combining those two passions: the passion for teaching and imparting wisdom, along with the passion for creating through music, AI-powered experiences, gamification, and all of those different things. So I'm really in my happy place.Share on X  Yeah, sounds like it. It sounds like you're very excited talking about this. So this is quite an unusual type of business, and I wonder how do you stumbled upon this kind of combination, this portfolio of activities and put them all into a business. How did that come about? So Liam Neeson says, “I have a unique combination of skills,” like in Taken. I guess that's kind of how I came up with SoundStrategist. I've pretty much been in music forever. I've been a musician, songwriter, producer, and rapper since I was a child. My father was a musician, so it was kind of like a genetic skill that I kind of adopted and was cultivated at an early age. So I was always passionate about music. Then got older, grew up, got into business, and really became passionate about training and educating. So I pretty much started off running entrepreneurship centers. My whole career has been in small business and economic development. SoundStrategist was a happy marriage of the two when I realized, oh, I can actually use rap to teach entrepreneurship, to teach leadership skills, and now to teach AI and a variety of other things.Share on X So pretty much it was just that fusion of things. And then when we launched the company, it was around the time ChatGPT came out. So we really wanted to make sure we were building it to be AI-first. At first, we were just using AI in our business operations, but then we started experimenting  with it for client work—like integrating AI-powered coaches in some of the training programs we were running and things like that. And that really proved to be really valuable, because one of the things I learned when I was running programs throughout my career was you always wanted to have the learning side and the coaching side. Because the learning side generalizes the knowledge for everybody and kind of level-sets everybody.Share on X But everybody’s business, or everybody’s situation, is extremely unique, so you need to have that personalized support and assistance. And when we were running programs in the entrepreneurship centers I were running and things like that, we would always have human coaches. AI enabled us to kind of scale coaching for some of the programs we’re building at SoundStrategist through AI. So with me having been a business coach for over 15 years, I knew how to train the AI chatbots. It started off as simple chatbots, and now it's evolved into full agents that use voice and all those other capabilities. But it really started as, let's put some chatbots into some of our courses and some of our programs to kind of reinforce the learning, personalize it, and then it just developed from there. Okay, so there's a lot in there, and I'd like to unpack some of it. When you say use rap to teach, I’m thinking about rap is kind of a form of poetry. So how do you use poetry, or how do you use rap to teach people? Is it more catchy if it is delivered in the form of a rap song? How does it work? So you kind of want to make it catchy. Our philosophy is this: when you listen to it, it should sound like a good song.Share on X Because there’s this real risk of it sounding corny if it's done wrong, right? So we always focus on creating good music first and foremost when we’re creating a music-based lesson. So it should be a good song. It should be something you hear and think, oh, between the chorus and the music, this actually sounds good. But then, the value of music is that once you learn the song, you learn the concept, right? Because once you memorize the song, you memorize the lyrics, which means you memorize the concept. One of the things we also make sure to do is introduce concepts. The best way I could describe this is this, and this might be funny, but I grew up in the nineties, and a lot of rappers talked about selling dr*gs and things like that. I never sold dr*gs in my life. But just by listening to rap music and hearing them introduce those concepts, if I ever decided to go bad, I would have a working theory, right? So the same thing with entrepreneurship, and the same thing with business principles. You can create songs that introduce the concepts in a way where if a person's never done it, they're introduced to the vocabulary.Share on X They’re introduced to the lived experiences. They’re introduced to the core principles. And then they can take that, and then they can go apply it and have a working theory on how to execute in their business. So that’s kind of the philosophy that we took, let’s make it memorable music, but also introduce key vocabulary. Let’s introduce lived experiences. Let’s introduce key concepts so that when people are done listening to the song, they memorize it, they embody it, and they connect with it. Now they have a working theory for whatever the song is about.  And are you using AI to actually write the song?  No, we're not. That’s one of the things we haven’t really integrated on the AI front, because the AI is not good enough to take what’s exactly in my head and turn it into a song. It’s good for somebody who doesn’t have any songwriting capability or musical capability to create something that’s cool. But as a musician, as somebody who writes, you have a vision in your head on how something should sound sonically, and the AI is not good enough to take what’s in my head and put it into a song. Now, what we are using are some of the AI tools like Suno for background music. So at first, we used that to create all our background music for our courses from scratch. We are using some of the AI to help with some of the background music and everything and all of that so that we can have original stuffShare on X as opposed to having to use licensed music from places like Epidemic Sound. So we are using it for like the background music. But for the actual music-based lessons, we're still doing those old school.  Okay, that's pretty good. We are going to dive in a little bit deeper here, but before we go there, I’d like to talk about the framework that you’re bringing to the show. I think we called it the AI for Deep Experts Framework. That's the working title right now, but yeah, we're still finalizing it. But that’s the working title. Yeah.  But the idea—at least the way I'm understanding it—is that if someone has deep domain expertise, AI can be a real accelerator and amplifier of that expertise. Yep.  So people who are listening to this and they have domain expertise and they want to do AI so that they can deliver it to more people, reach more people, create more value, what is the framework? What is the five-step framework to get them there?  Number one: provided that you have deep expertise, you should be able to identify a core pain point in your respective industry that needs solving.Share on X Maybe it’s something that, throughout your career, you wanted to solve, but you weren’t able to get the resources allocated to get it done in your job. Or maybe it required some technical talent and you weren’t a developer, or whatever, right? But you should be able to identify what’s the pain point, a sticking pain point that needs to be solved—and if it's solved, it could really create value for customers. That's just old-school opportunity recognition. Number two: now, the great thing about AI is that you can leverage AI to do a lot of deep research on the problem. So obviously, you're still going to have conversations to better understand the pain point further. You're going to look at your own lived experiences and things like that. But now you can also leverage AI tools—using Perplexity or Claude—to do deep research on a market opportunity. So whether or not you have experience in market research, you can use an AI tool to help identify the total addressable market. You can brainstorm with it to uncover additional pain points, and it help you flesh out your value proposition, your concept statement, and all of those things that are critical to communicating the offering. Because before we transact in money, we always transact in language, right? So pretty much, AI can help you articulate the value proposition, understand the pain point, all of those different things. And then also if you have like deep expertise and you haven't really turned it into a framework, the AI can help you framework it and then develop a workflow to deliver value.Share on X So now you have the framework, you have the market understanding, and all of those different things. AI can even help you think through what the product would look like—the user experience, the workflow, things like that. Now you can use the AI-powered tool to help you build that. You can use something like Lovable. You can use something like Bolt. You could use something like Cursor, all different AI-powered tools. For people who are newer to development and have never done development before, I would recommend something like Lovable or maybe Bolt. But once you get more comfortable and want to make sure you're building production-ready software, then you move to something like Cursor.  Cursor has a large enough context window—the context window is basically the memory of an AI tool. It has a large enough context window to deal with complex codebases. A lot of engineers are using it to build real, production-ready platforms. But for an MVP, Bolt and Lovable are more than good enough. So one of the things I recommend when building with one of these tools is to do what's called a PRD prompt. PRD stands for Product Requirements Document.Share on X For those who aren’t familiar with software development, typically, and this is not even really happening anymore, but traditionally with software development, you would have the product manager create a Product Requirements Document. So this basically outlines the goals of the platform, target audience, core features, database, architecture, technology stack, all of the different things that engineers would need to do in order to build the platform. So you can go to something like Claude, or ChatGPT, and you can say: “Create a PRD prompt for this app idea,” and then give as much detail as possible—the features, how it works, brand colors, all of those different things. Then the AI tool—whether you're using ChatGPT, Claude, or Gemini—will generate your PRD prompt. So it’s going to be like this really, really long prompt. But it’s going to have all of the things that the AI tool, web-building or app-building tool needs to know in order to build the platform. It’s going to have all the specifications. So you copy and paste.  Is this what people call vibe coding?  Yeah, this is vibe coding. But the PRD prompt helps you become more effective at vibe coding because it gives the AI the specifications it needs and the language that it understands to increase the likelihood that you build your platform correctly. Because once you build the PRD prompt, the AI is going to know, okay, this is the database structure. It's going to know whether this is a React app versus a Next.js app. It's going to know, okay, we're building a frontend with Netlify. The stuff that you may not know, the AI will know, and it will build the platform for that. So then you take that prompt, you paste it into Lovable, paste it into Cursor, and then you can kind of get into your vibe coding flow. Don't let the hype fool you, though, because a lot of people will say, “Oh, I built this app in 15 minutes using Lovable.” No—it still requires time. But if you can build a full-stack application in two weeks when it typically takes several months, that’s still like super fast. So pretty much, on average, you can build something in a couple of weeks—especially once you get familiar with the process, you can build something in a couple of weeks. But if this is your first time ever doing this, pay attention to things like when the app debugs and some of the other issues that come up.  Start paying attention because you’re going to learn certain things by doing. As you go through the process, you'll begin to understand things like, okay, this is what an edge function is, this is what a backend is. You’ll start learning these different things as you’re going through the process, right? So you get the platform built. Now the next step is you want to distribute the platform. So obviously, if you’ve been in your industry for a while and you have some expertise, you should have some distribution. You should have some folks in your space who are your ICP that you can kind of start having some customer conversations with and start trying to sell the platform. One of the things that I always recommend is going B2B and selling something for significant valueShare on X as opposed to going B2C and selling a bunch of $19.99 subscriptions. And the reason for that is a couple of different things. Number one, when you have to do a lot of volume, your business model becomes more complicated. And then you have to introduce things to manage that volume. Whereas if you’re selling a solution that’s a five-figure to six-figure offering, like 10 clients, 15 clients, the amount of money that you can get to with less complexity in your business model. So I always say go B2B, at least a five-figure annual offering, because I know most of the offerings that we offer are at least high five figures, low six figures—subscriptions, SaaS licensing, or whatever. And that way it just introduces less complexity to your business model, and it allows you to get as much revenue as possible. And then as you go to market, you’re going to learn. So the learning aspect, you’re going to learn maybe customers want this or this feature. We thought the people were going to use the platform this way, but they’re actually using it this way. So you’re always learning, always evolving, and adjusting the offering. Okay, so let's say I have deep expertise in some area—maybe investment banking or whatever. I want to use AI. I identify an industry pain point that I've addressed or maybe I personally experienced. I visualize a solution, then I brainstorm with ChatGPT or Claude or whatever, figure out what to do, and then I leverage AI tools like Cursor, Lovable, or Bolt. I set the price point. I go B2B. Is this something that, as a subject-matter expert, is efficient for me to do myself because I have the expertise and the vision? Or is it better for me to hire someone to do this?  It depends on what your bandwidth is. I mean, pretty much I’m of the firm belief that like these are skills that you probably want to unlock anyway. So it might be worth going through the process of learning the tools, leveraging them, and everything, and all of that. And that’s kind of how you future-proof yourself. Now, obviously, if you have bandwidth limitations, there are firms and organizations that you could hire, et cetera, et cetera, that can do it for you. Obviously, developers and things like that. But the funny thing about a lot of developers is, even though they're using AI, they're still charging the prices they charged before AI, right? They’re just getting it done faster, and their margins are a lot lower. So you're still going to pay, in a lot of instances, developer pricing for a platform. Those are the things that you have to consider as far as your own personal situation. But me personally, I believe these are skills worth unlocking.Share on X Because one of the things is, if you get very senior in your career—let's say you've been there 15, 16 years, 20 years—we all know there's this point where you either move up to the C-suite or you get caught in upper-middle-management purgatory, where you're kind of in that VP, senior director space, et cetera, et cetera, and you just kind of hover there. At that point, your career moves tend to be lateral—going from one VP role to another VP role, one senior director role to another senior director role, right? At that point, your income potential starts to get limited. So unlocking one of these skills and becoming more entrepreneurial is something I genuinely believe is worth developing personally. And what would you say is the time requirement for someone to get competent in vibe coding?  Three months minimal. You could be pretty solid in three months.  But three months full-time or three months part-time?  Three months part-time.  So three months. That's about 143 working hours in a regular month. So that's basically around 420–430 hours if you were full-time.  If you spend weekends working on your project, learning how to build it, taking notes, and actually going through the process, you can get pretty decent in a couple of months. Now, obviously, there are still levels as you continue and to progress and things like that, but you can get pretty solid in a couple months. Another thing you want to consider is who you're selling to. You obviously wanna make sure that your platform security is really well, is really done. So even if you build it yourself and then you have an engineer do code review, that’s cheaper than having them build it. I think if you spend three months, you can get really good at building solutions for what you need to get done. And then from there, you just get better and better and better and better.  How do I know that, let's say I hire someone in Serbia to do a code review for me? Let's say I learn the vibe coding thing and create the prototype, then I have someone to clean the code. How do I know that they did a good job or not?  You really don’t. You really don’t know until the platform’s in the wild, and it’s like, okay, it’s secure. So there are some things that you can do to check behind people. Let's say you don't have the money to do a full security audit or hire someone specifically for a security review, a developer for security review. One of the things that you can do is you can do multi-agent review. Like you take your codebase, have Claude review it, have OpenAI Codex review it, have a Cursor agent review it. You have multiple agents do a review. Then they kind of check each other’s work, if you will.  They kinda identify things that others may not have identified, so you can get the collective wisdom of those three to be able to be like, “Okay, I need to shore this up. I need to fix this. I need to address that.” That gives you more confidence. It still doesn’t replace a person who has deep expertise and making sure they build secure code, but it will catch common issues, like hard-coding API keys, which is a risk, right? It’ll catch those type of things that typically happen. But let’s say you do have a security, a code review, you could just kind of take that same approach also to check their work. Because they shouldn’t find any major vulnerabilities. The AI agents that come in after it shouldn’t really find any major vulnerabilities if it was like done securely securely. Another thing to consider is that a lot of these tools use Supabase for the backend and database. Supabase also has a built-in security advisor, including an AI security advisor, that points out security issues, performance problems, and configuration errors. So like you do have some AI-powered check and balances to check behind people.Share on X  Interesting. So basically, I can audit their applications, and the AI will check the code and tell me what needs to be improved?  Yeah. And they can make the fixes for you.  Yeah. Wow, that’s amazing. It still sounds a little bit overwhelming. It’s basically a language, a new language to learn, isn’t it?  It’s not really — it’s English. That’s the amazing thing about it—it’s English. I mean, you literally talk to AI in natural language, and it builds stuff for you, which is, if somebody is like, had a idea for a minute, because I mean, pretty much running entrepreneurship centers, I’ve known so many people who’ve had ideas that they were never able to launch or build, and then they see somebody build it later. If you learn these skills, you get to the point where anything that's in your head, you can kind of start bringing it to life in reality.Share on X And even if you've got to bring somebody in to make sure it's secure and production-ready, it's way cheaper than having them build it from scratch. And then another thing that you’ll find also is if you’re able to build something, let’s say you want to turn it into a startup or something, right? It’s a lot easier to bring in a technical co-founder when they don’t got to build the thing from scratch, and then they also see that you were able to build something, they’re able to see your product vision, et cetera, et cetera. It becomes a lot more easier to recruit people who actually have that expertise into the company because you’ve already handled the hard part. You got something and it works. And all they got to do is just come in, make it safe, and make it work better.  Yeah, that is very interesting. It feels analogous to writing a book yourself or having a ghostwriter. Because essentially, you are vibe coding with a ghostwriter, right? You tell the stories, and then the ghostwriter writes the book for you. Probably now you can use  AI to do that. Yep.  But that's a skill. Not everyone has the skill to write it themselves, and then they need to go to the ghostwriter, but still is their book, right?  Yep.  So it sounds a little bit similar. That’s fascinating. So what’s the path to launching an MVP? So let’s say I’m a subject matter expert, and I want to launch an MVP within a few weeks. Is there a path for me to go there?  Once you get good with the platform, once you get comfortable with the tools, yeah. So for example, we're launching an AI platform. It's an AI coaching platform, but it's also a data analytics platform. Basically, it's targeted to entrepreneur support organizations and municipalities supporting small businesses. So on the front end, it's an AI-powered advisor — it's a hotline that people can call 24/7. But on the back end, the municipalities and entrepreneur support organizations get access to analytics from each of those calls. We built this in two weeks. We’re already talking to customers, we’re already having conversations, and all of those things. We literally brought it to market in two weeks. So the thing is, once you kind of get caught up with the tools—and I'm not a developer, I'm not a developer by trade at all. I had a tech startup before, but I was a non-technical founder. I just know how to put together a product. But once you get good with the tools, that's very conceivable. And then you just go out there, and you go in the market, you start having conversations with your ideal customer profile.Share on X As you’re going through that process, you’re learning, okay, maybe this isn’t my ideal customer profile, this is their pain point. Or maybe instead of this being the feature they want, this is the feature they want. And the crazy thing about it is in the past you had to really get that ICP real tight and the feature set real tight because it cost so much money to go back and have to make tweaks and changes and to get it to market in the first place. Now, you can get a new feature added in the afternoon. It allows you to go to market a little bit faster. You don’t have to have the ideal feature set. You don’t have to have the ICP figured out. You get out there, you learn, and then you’re able to iterate a lot faster because the cost of development is super cheap now, and the speed in which like new features can be added or deprecated is a lot faster. So it allows you to go to market a lot faster than in the past.  Okay, I got it. You can do this, you can code. What do you recommend for someone who’s starting out? You mentioned Lovable, Bolt, and then Cursor. Is Cursor like an advanced product?  Cursor’s a little bit more advanced, but if you want to build production-ready software, it's something you're going to eventually have to use. But can you convert from Lovable to Cursor?  Yes, you can. Yep. So what you typically do — and I still do this to this day — is every time I launch a product, I build it in Bolt first. You could use Bolt or Lovable, either one's fine. I use Bolt because Bolt came out first, and that's what I started using. Then Lovable came out like a month later. But I use Bolt. I’ll spin up the idea in Bolt. And the reason I like doing it in Bolt or Lovable is that it's really good at doing two things. It's really good at quickly launching your initial feature set, and then spinning up your backend. Your database — it's really good at that. So I start off in Bolt, then I connect it to a repository.  For those who aren't familiar with GitHub, there's a button in Bolt or Lovable where you can easily connect it to a GitHub repository. So then once I kind of get the app to a point where the basic skeleton is set, then I go into Cursor. Then I pull the repository into Cursor and do the heavy work. The reason Cursor has a learning curve is because there are still some traditional developer things you need to know to spin up a project. Your initial database — it's a lot harder to spin up your initial database and backend in Cursor. It's also harder to identify your initial libraries and all of those things. If you're a developer, it's not difficult. But if you're new, it is. Bolt and Lovable abstract those things out for you. So you start it off in Bolt or Lovable. Basically, since they're limited in their context windows, when you're trying to build something complex, eventually they start making a whole bunch of errors. They basically start getting stup*d. That's when you know it's time to move to Cursor, because Cursor can handle the heavy lifting. So if you build in Bolt or Lovable until it gets stup*d, then you move to Cursor for the heavy lifting.  And then is there a point where Cursor gets stup*d as well? No. Cursor has a couple of different things that allow it to extend its context window, which is his memory. You can put documentation into Cursor. For example, whatever your PRD prompt was, you can save that as a document in Cursor. You can also set rules. One of my rules in Cursor is: I'm not technical, so explain everything in layman's terms. And then as you’re starting to build code, you can save that code or you can point it to that repository. So there's some more flexibility with Cursor as far as managing your context window.Share on X But with Bolt and Lovable, the context window is more limited right now. So I start off in those, and then once I kind of get the skeleton up, then I move to Cursor. And at that point, a lot of the complicated things like spinning up your dev environment and all those things are kind of abstracted out. Then you can just jump in and use it the same way you use Bolt and Lovable. Fantastic. Fantastic. So, Jason, super helpful information for domain experts who want to build an application that will help them promote their product or manifest their ideas in product form. I think that’s super powerful. So if someone would like to learn about SoundStrategist and what SoundStrategist can do for them in terms of learning and experiential products, incorporating music, or building curriculum, or they would just like to connect with you to learn more about what you can do for them, where should they go?  Jason William Johnson, PhD, on LinkedIn, or www.getsoundstrategies.com.  Okay. Well, Jason William Johnson, you are really ahead of the curve, especially connecting this whole idea of vibe coding to people who are subject matter experts and not technical. And you know it because you don't come from a technical background, yet you've mastered it. I’m living it. Everything I’m sharing—this is not like a theoretical framework. I'm living all of this. So everything I’m saying. Super authentic. And especially coming from you—you understand what it's like to not be technical person, learning this, applying this.  So if you'd like to do this, learn more, or maybe have Jason guide you, reach out to him. You can find him on LinkedIn at Jason William Johnson, PhD, or visit www.getsoundstrategies.com. And if you enjoyed this episode, make sure you follow us and subscribe on YouTube, follow us on LinkedIn, and on Apple Podcasts. Because every week I bring a super interesting entrepreneur, subject matter expert, or a combination of the two—like Jason—to the show, who will help you accelerate your journey with frameworks and AI frameworks in that gear. So thank you for coming, Jason, and thank you for listening. Important Links: Jason's LinkedIn Jason's website

Amir (Co-Founder at Humblytics) shares how he builds an “AI-native” company by focusing less on shiny tools and more on change management: assessing AI fluency across roles, setting the right success metrics, and creating shared context so AI can reliably ship work. The big theme is convergence—engineering, product, and design are collapsing into tighter loops thanks to tools like Cursor, MCP connectors, and Figma Make. Amir demos workflows like: AI-generated context files + auto-updated documentation, scraping customer domains to infer ICPs, turning screenshots into layered Figma designs, then converting Figma to working React code in minutes, and even running an “AI co-founder” Slack bot that files Linear tickets and can hand work to agents.Timestamps0:00 Introduction0:06 Amir's stance: “no AI experts” — it's constant learning in a fast-changing field.1:59 Cursor as the unlock: not just coding, but PM/strategy/design work via MCPs.4:17 The real problem: AI adoption is mostly change management + fluency assessment.5:18 The AI fluency rubric (helper → automator → augmentor → agentic) and why it matters.8:13 Cursor analytics: measuring AI-generated code and usage across the team.9:24 “New code is ~99% AI-generated” + how they keep quality via tight review + incremental changes.10:58 Docs workflow: GitBook connected to repo → AI edits docs and pushes live fast.14:02 ICP building: export Stripe customers → scrape domains with Firecrawl → cluster personas.17:45 Hallucination in the wild: AI misclassifies a company; human correction loop matters.34:43 Wild move: they often design in code and use an AI-generated style guide to stay consistent.38:10 Best demo: screenshot → Figma Make → layered design → Figma MCP → React code in minutes.45:29 “AI co-founder” Slack bot (Pixel): turns a bug report into a Linear ticket and can hand off to agents.48:46 Amir's wish list: we “solved dev”; now we need Cursor for marketing/sales → path to $1M ARR.Tools & technologies mentionedCursor — AI-first IDE used for coding and product/design/strategy workflows; includes team analytics.MCP (Model Context Protocol) — “connector” layer (Anthropic-origin) that lets LLMs interface with external tools/services.ChatGPT — used as a common baseline tool; discussed in the context of prompting practices and workflows.Microsoft Copilot — referenced via the law firm incentive story; used as an example of “usage metrics” gone wrong.Anthropic (AI fluency framework) — inspiration source for the helper/automator/augmentor/agentic rubric.GitBook — documentation platform connected to the repo so docs can be updated and published quickly.Firecrawl (MCP) — agentic web scraper used to analyze customer domains and infer ICP/personas.Stripe — source of customer export data (domains) to build ICP clustering.Figma — design collaboration tool; used here with Make + MCP to move from design → code.Figma Make — feature to recreate UI from an image/screenshot into editable, layered designs.Figma MCP — connector that allows Cursor/LLMs to pull Figma components/designs and generate code.React — front-end framework used in the demo for generating functional UI components.Supabase — mentioned as part of a sample stack when generating a PRD.React Router — mentioned as part of the sample stack in PRD generation.Slack — where Amir runs internal agents (including the “AI co-founder” bot).Linear — project management tool used for creating tickets from Slack/agent workflows.CI/CD — their deployment/review pipeline; emphasized as the human accountability layer.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

Here's what I'm building with as of Dec 2025.Lovable - https://lovable.dev/Cursor - https://www.cursor.comClaude Code - https://claude.ai/ (Sonnet/Ops 4.5)Vercel - https://vercel.com/Railway - https://railway.com/Supabase - https://supabase.com/ Free Email Course - https://bootstrappersparadise.com/courseOnline Community - https://bootstrappersparadise.com/communityBootstrapper's Paradise - https://bootstrappersparadise.com/

We're excited to bring on Elena Levi, Director of Product Management at Payoneer, data analytics veteran, and passionate advocate for product-driven teams, for a special episode exploring what it's really like to use Lovable and other AI-powered vibe coding tools in product development.Elena shares insights from 15 years in data analytics and product, with the journey from data analyst to product leadership fueling her curiosity about how AI can reshape prototyping, design, and collaboration. Drawing from hands-on experience building predictive analytics solutions, Elena reveals why she chose Lovable for fast prototyping, user testing, product sense interviews, and collaborating with both developers and designers.Join Matt, Moshe, and Elena as they explore:The strengths and limitations of Lovable for prototyping: rapid iteration, easy sharing, changing flows on the fly, user testing, and developer handoffWhen vibe coding works, and where you still need engineering and design expertiseThe realities of code generation, versioning, Supabase integration, and why Lovable stood out from the competition at the time she chose itUsing Lovable for product sense interviewsPractical tips: breaking tasks into smaller prompts, saving tokens with up-front documents, and why the first prompt is the most importantThe trade-offs of using AI tools for MVPs, B2B vs. B2C products, and where privacy and maintainability concerns come inResponses from engineers and designers, what these tools mean for their work, learning curves, and whether they help or hinder junior team membersExpectations vs. reality: how close AI tools get you to the finish line, and why “the last mile” is the toughestConundrums, gotchas, frustrations, and how to keep flexibility in your workflowWhy do PMs must always ask “Why?”, and why AI alone can't replace a critical data mindsetAnd much more!Want to connect with Elena or learn more?LinkedIn: https://www.linkedin.com/in/elena-levi-dataYou can also connect with us and find more episodes:Product for Product Podcast: http://linkedin.com/company/product-for-product-podcastMatt Green: https://www.linkedin.com/in/mattgreenproductMoshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️

Pour ce vingt-quatrième épisode, on retrouve Alexandre Talon qui partage son parcours entre No-Code, Low-Code et engagement social. Cofondateur de https://www.labastide.io/ et de l'association No-Code for Good, il accompagne des structures à impact positif grâce à des outils accessibles et solidaires.Alexandre raconte son quotidien dans l'économie sociale et solidaire, son intérêt grandissant pour le développement assisté par IA et son expérience récente avec Lovable, Windsurf, Bolt, Cursor et KiloCode. On découvre aussi la manière dont il combine Supabase, N8n et le vibe coding pour créer des solutions rapides et efficaces.Il revient également sur sa participation à la Grande Journée No-Code, sa table ronde sur l'avenir des agences à l'ère de l'IA et le plaisir de retrouver une communauté en constante évolution.Un épisode riche, clair et inspirant qui met en lumière une vision engagée du No-Code.https://www.linkedin.com/in/alexandre-talon-nocode/

Lovable leaps to $6.6B on $330M wings for no-expertise app building. Supabase backend pairs perfectly. Enterprise ARR ramps.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Dans cet épisode, on découvre Guillaume, développeur Bubble depuis quatre ans, passé d'ingénieur dans les travaux publics, à créateur d'applications No-Code.Son changement de trajectoire est né d'une envie simple mais profonde : travailler de ses mains, produire à nouveau, résoudre des problèmes par lui-même et retrouver une forme de liberté.Il raconte comment Bubble lui a permis de comprendre les grands concepts du web, de prendre goût au technique, puis de glisser progressivement vers Supabase, le code et même le vibe coding, tout en restant attaché à Bubble.Guillaume parle aussi de son besoin de contact humain : les meet-ups, les collaborations, la communauté, ce qui lui redonne énergie et motivation.Quant à la Grande Journée No-Code ? Une bouffée d'air, un moment pour discuter, reconnecter, apprendre des autres et repartir reboosté.Un épisode chaleureux, sincère et inspirant pour tous ceux qui osent le pivot professionnel.https://www.linkedin.com/in/guillaume-berthet-023103205/

Dans cet épisode, on découvre Maëva, Product Manager dans une mutuelle santé 100 % digitale. Après plusieurs années dans la tech et l'eventech, elle rejoint une équipe qui mise sur le No-Code et le Low-Code pour accélérer le développement de ses outils.WeWeb, Supabase, Flutterflow, N8N : elle explique comment ces choix techniques leur permettent de tester vite, livrer vite et renforcer la productivité de l'équipe.Maëva parle aussi de son rôle dans la mise en place de nouveaux process, de l'importance de l'adoption interne, et de l'usage malin d'outils comme Formcrafts pour simplifier la vie des équipes métier.Une conversation riche, énergique et pleine de lucidité sur les défis du produit en entreprise.https://www.linkedin.com/in/maeva-landreau-productmanager/

AGENDA: 04:20 Thrive and OpenAI Partnership  07:14 Databricks Raising $5BN at $134BN Valuation: Cheap or Not? 17:39 Eventbrite Acquired by Bending Spoons for $500M 21:39 Pagerduty's $1BN Market Cap, Just 2x Revenue 26:59 The TAM Trap: Why SaaS Is Like Japan 37:42 Lessons from Companies Hitting $100M ARR 44:57 The Future of Labour Markets is F****** 52:10 The Importance of Compounding in Investments 56:45 The Relevance Game in Venture Capital 01:05:01 Supabase at $5BN or Lovable at $6BN: Which One?  

In this episode, Prashant Sridharan, Head of Product Marketing at Supabase, joins Louise Liu to share insights on building trust and winning with developer marketing—from feature‑first messaging and PLG strategies to aligning product, DevRel, and marketing for go‑to‑market success. Prashant also discusses why transparency beats hype and how AI is reshaping the way product marketers work.For more information on AI and product marketing workflows, read Prashant Sridharan's article “How I Use Claude To Build Launch Plans From Chaos“.All rights reserved. © Product Marketing Hive.

In this episode, Aydin sits down with Ryan McCready, who went from hating AI to becoming one of the most creative AI-powered content builders on the internet. After getting laid off in mid-2025, Ryan realized that every job interview demanded AI fluency. So he went all-in, teaching himself Zapier, Lovable, Supabase, and advanced prompting to engineer a “Content Factory” that turns a webinar into blog posts, clips, and social content in minutes.He shares the mindset shift from “AI is plagiarism” to “AI is an input-output engine,” why content engineering is the future, what makes AI workflows actually work, and how breaking big tasks into many small steps is the secret to non-sloppy AI content.You'll see how he built a 30-step Zapier workflow that analyzes a webinar transcript, extracts frameworks and insights, turns them into pitches, builds outlines, writes social posts, and even generates clip candidates for Descript. If you create content or run marketing—this one is a masterclass.Timestamps0:23.00 – Why he believed AI was a “plagiarism machine”2:04.00 – Getting laid off and realizing every employer wanted AI skills4:37.00 – The workflow that kickstarted his learning (LinkedIn voice extraction + employee advocacy shares)5:40.00 – Learning Lovable and Supabase by building real projects6:51.00 – Why “everyone is a builder now” because of AI tools7:52.00 – Introducing “Content Engineering” and why most marketers can't do it9:03.00 – Example: turning a webinar into 10+ pieces of content10:58.00 – Why webinars usually die after they're aired—and why that's a waste11:43.00 – The “Webinar Content Flywheel” teaser16:30.00 – Why Ryan moved back from n8n to Zapier17:55.00 – Zapier vs. n8n: simplicity, stability, and architecture19:03.00 – “Start small”: a two-step Zap example20:09.00 – Interface demo: uploading a transcript and hitting “Go”21:22.00 – Why Zapier Interfaces make deployment easy22:40.00 – Step-by-step breakdown of the workflow24:06.00 – Example: webinar analysis output (themes, chapters, frameworks)27:02.00 – Creating three blog pitches from the transcript30:43.00 – Sending the pitches to Slack for review31:03.00 – Clip extraction workflow + Descript integration32:14.00 – How he uses Descript's “Underlord” to auto-cut clips33:20.00 – Why this beats automated clip tools like Riverside for B2B35:02.00 – Social content workflow (framework angle, data angle, hot take, wildcard)37:12.00 – Why prompting manually is wasteful—build once, automate forever40:11.00 – “Big → small → big” framework: the secret to non-sloppy AI content41:21.00 – Google's “AI content penalty” myth, according to Ryan42:47.00 – Why your input quality determines whether your AI output is good43:44.00 – What excites him most in the next 12 monthsTools & Technologies MentionedZapier: Automation platform used to chain 30+ steps together: analysis, pitch creation, clip extraction, social content, Notion updates, etc.AI by Zapier: Zapier's built-in LLM module used for analysis, extraction, outline generation, and writing.n8n: Open-source workflow automation platform. Ryan tested it, but ultimately moved back to Zapier for stability and structure.Lovable: AI-enabled “vibe coding” tool that turns prompts into functional web apps.Supabase: A database + backend platform used for storing structured content data from builds.Descript (Underlord): Video editing tool with an AI agent that cuts clips based on transcript timecodes generated by the workflow.Notion: Used as the source of truth for storing transcripts, outlines, clip docs, and the full content tracker.Claude / ChatGPT: Used for second-pass expansion—turning outlines or social angles into fully polished blog posts and posts.Fellow.ai: AI meeting assistant—summarizes meetings, tracks decisions, and generates insights and performance summaries.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

Send us a textWe were wasting several hours a month on time-off requests. So we built an app for it.Every time someone needed a day off, it was the same dance:+ Send a message to the team+ Create a calendar invite+ Update the project manager+ Hope nobody forgotFor a small team where every hour counts, this was ridiculous.So my colleague Jarek built us a custom time-off management system using Figma Make and Supabase.The result?✓ Completely automated approval workflow ✓ Auto-syncs with Google Calendar ✓ Posts directly to our ClickUp channels ✓ Cost: $0Here's what really hit me though...We were ready to upgrade our project management tool, add $10-20/user/month, just to get this ONE feature.Instead, we spent a week building exactly what we needed.The bigger lesson:Once you build your first internal tool, you start seeing opportunities everywhere. "Should we upgrade for that feature?" becomes "Could we build that ourselves?"This isn't just about saving money on subscriptions. It's about:

In this episode, Katerina Skroumpelou joins us to talk all things Supabase — from what it is and how it simplifies life for everyday developers to why Angular devs are starting to love it. We chat about real-world use cases, security best practices, and how Katerina keeps learning new tools with confidence and curiosity. She also opens up about standing out in a tough job market and the mindset that got her where she is today — no “auth” required.https://supabase.com/docs/guides/getting-started/tutorials/with-angularMore about Katerina:https://twitter.com/psybercityhttps://bsky.app/profile/psyber.cityhttps://github.com/mandarinihttps://psyber.city/https://github.com/supabase/supabase-jsFollow us on X: The Angular Plus ShowBluesky: @theangularplusshow.bsky.social  The Angular Plus Show is a part of ng-conf. ng-conf is a multi-day Angular conference focused on delivering the highest quality training in the Angular JavaScript framework. Developers from across the globe converge  every year to attend talks and workshops by the Angular team and community experts.JoinAttendXBluesky        ReadWatchEdited by Patrick HayesStock media provided by JUQBOXMUSIC/ Pond5

Our 223st episode with a summary and discussion of last week's big AI news!Recorded on 10/17/2025Hosted by Andrey Kurenkov and co-hosted by Erik SchnultzFeel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode:Anthropic and OpenAI have announced updates to their AI models and tools, including Haiku 4.5 and various business collaborations.Multiple companies like Slack and Salesforce are integrating AI assistants and agents into their platforms, enhancing task management and business operations.Recent research in reinforcement learning and agent memory curation highlights new methods for improving AI model performance and context management.California has passed a law to regulate AI chatbots for children and vulnerable users, and there are rising concerns over the increasing amount of AI-generated content on the internet.Timestamps:(00:00:10) Intro / Banter(00:01:31) News PreviewTools & Apps(00:02:18) Anthropic launches new version of scaled-down ‘Haiku' model(00:04:52) Everything OpenAI announced at DevDay 2025: Agent Kit, Apps SDK, ChatGPT, and more | ZDNET(00:09:11) Anthropic turns to ‘skills' to make Claude more useful at work | The Verge(00:13:20) Microsoft launches ‘vibe working' in Excel and Word | The Verge(00:17:22) Google releases Veo 3.1, adds it to Flow video editor | TechCrunch(00:19:40) Slack is turning Slackbot into an AI assistant | The Verge(00:22:52) Salesforce announces Agentforce 360 as enterprise AI competition heats up | TechCrunchApplications & Business(00:24:58) Broadcom stock pops 9% on OpenAI custom chip deal, adding to Nvidia and AMD agreements(00:27:58) How ByteDance Made China's Most Popular AI Chatbot | WIRED(00:30:08) Amazon's Zoox Robotaxis Have Arrived In Las Vegas - Here's What Riders Are Experiencing(00:32:43) Waymo's robotaxis are coming to London | The Verge(00:34:14) Reflection AI raises $2B to be America's open frontier AI lab, challenging DeepSeek | TechCrunch(00:35:58) General Intuition lands $134M seed to teach agents spatial reasoning using video game clips | TechCrunch(00:38:36) Supabase nabs $5B valuation, four months after hitting $2B | TechCrunchProjects & Open Source(00:40:58) Neuphonic Open-Sources NeuTTS Air: A 748M-Parameter On-Device Speech Language Model with Instant Voice Cloning - MarkTechPost(00:43:06) Anthropic AI Releases Petri: An Open-Source Framework for Automated Auditing by Using AI Agents to Test the Behaviors of Target Models on Diverse Scenarios - MarkTechPostResearch & Advancements(00:44:25) [2510.13786] The Art of Scaling Reinforcement Learning Compute for LLMs(00:48:51) [2510.01171] Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity(00:51:22) [2510.12635] Memory as Action: Autonomous Context Curation for Long-Horizon Agentic Tasks(00:54:31) [2510.07364] Base Models Know How to Reason, Thinking Models Learn When(00:57:24) [2510.12402] Cautious Weight DecayPolicy & Safety(01:02:03) California becomes first state to regulate AI companion chatbots | TechCrunch(01:04:13) Over 50 Percent of the Internet Is Now AI Slop, New Data FindsSynthetic Media & Art(01:06:31) OpenAI Reverses Stance on Use of Copyright Works in Sora - WSJ(01:08:29) Character.AI removes Disney characters from platform after studio issues warningSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AGENDA:  03:29 OpenAI and AMD's Major Partnership 07:35 Microsoft Have F***** Up the OpenAI Partnership  17:08 OpenAI's Developer Day Announcements 20:45 Why VC is the Most Forgiving Asset Class on Price and Valuation 29:10 What Does it Take to IPO in 2025: Why Snyk Will Not IPO 42:30 Four Strategies Companies Need to Take to Own Their Own Destiny 49:31 Vercel Raises $300M at $9BN: Suicide Round or Strategic 55:39 Does King Making Really Work in Venture Capital: Legora vs Harvey 01:08:11 Chamath Raises Latest SPAC: SPACs are Back 01:10:56 Polymarket Raises $2BN at a $9BN Valuation 01:14:53 Quick Fire Questions and Wrap-Up  

In the episode, we sat down with ClickHouse Co-Founder Yury Izrailevsky to unpack how one of the fastest open-source databases in the world became the analytics engine of choice for 2,000 customers including Harvey, Canva, HP, and Supabase. From its Yandex origins to powering AI observability, Yury shares how ClickHouse balances open-source roots, cloud innovation, and a remote-first culture moving at breakneck speed.ClickHouse's Series C valued the company at $6.35B earlier this year, and just yesterday they announced an extension to that round, just months after it was raised. In this episode, we dig into:Origins & Founding StoryClickHouse began as an internal project at Yandex to power a Google Analytics–style platform, focused on performance and scale.Open-sourced in 2016 - rapid global adoption laid the foundation for ClickHouse the company. Yury first discovered ClickHouse while at Google; impressed by its speed, he later co-founded the company in 2021 alongside Aaron Katz (ex-Elastic) and the original creator Alexey Milovidov.Why ClickHouse Stands OutColumn-oriented, open source OLAP database designed for massive-scale analytical processing.Excels in performance, efficiency, and cost - ideal for large data volumes and real-time analytics (and now AI workloads). Architectural choices:Columnar storage = better compression and faster execution.Separation of compute and storage enables elasticity, scalability, and resilience in the cloud.Open Source vs. CloudOpen-source version offers freedom and flexibility.Cloud product delivers much lower total cost of ownership and fully managed experience.Architectural parity between the two ensuring no vendor lock-in for customers. Customers can run the same queries on both; most stay with cloud due to simplicity and cost efficiency.Use Cases & Ecosystem4 main use cases:Real-time analyticsData WarehousingObservability AI / ML WorkloadsCompany Building & CultureFully remote from day one.Prioritized experienced, self-sufficient engineers over early-career hires.Built and launched GA version in less than a year - insane pace of innovation.Innovation & CommunityMonthly release cadence.Hundreds of integrations and connectors.Strong open-source and commercial communityAdvice for FoundersFocus on what matters most Hire mature, independent thinkers.Move fast but maintain quality; ClickHouse Cloud achieved production-grade quality in record time.

```html join wall-e for today's tech briefing on monday, october 6th, as we explore the latest tech dynamics: openai's strategic acqui-hire: acquisition of roi, a pioneering ai-driven personal finance app, with only ceo sujith vishwajith joining. highlights openai's pivot towards personalized ai solutions and is spearheaded by former instacart ceo fidji simo. anticipation for openai devday 2025: a major event featuring over 1,500 attendees, discussions between ceo sam altman and apple's jony ive, and potential ai product launches that may reshape consumer tech. sora app's rapid ascent: openai's invite-only ai video app achieves top spot on apple's u.s. app store, surpassing competitors like google's gemini, showcasing high demand for new ai tools. supabase's impressive growth: open-source database service hits a $5 billion valuation following a $100 million series e round, driven by demand for scalable solutions in tech ecosystems. naveen rao's new venture: former databricks ai head launches unconventional, inc., aiming for a $5 billion valuation with backing from andreessen horowitz, set to revolutionize ai computing and challenge nvidia. tune in tomorrow for more tech insights! ```

Welcome to First Block, a Notion series where founders from the world's leading companies tell us what it was like to navigate the many firsts of their startup journey—and what they learned from that experience.In this episode, we spoke with Ant Wilson, Co-Founder and CTO of Supabase. Supabase is the Postgres development platform that has become one of the world's fastest growing open source communities.Ant shares his journey about previous founder experiences, the power of solving your own problem, and why building authentic relationships with your community matters.Chapters:00:00 Intro02:56 Supabase Explained07:04 The Positioning Shift09:25 Memes & Marketing13:08 Scaling the Community15:09 Winning Enterprises17:09 Remote-First Culture22:49 AI in Action26:10 Advice BlockFor video, transcripts, and custom Notion Mercor templates, please visit: https://ntn.so/aow225To learn more about how Notion is supporting startups, please visit: ⁠https://ntn.so/cwep6x

In this episode we are joined by Kenneth Auchenberg, Partner at AlleyCorp — one of New York's most prolific early-stage funds known for incubating companies like MongoDB, Business Insider, and Radical AI.Kenneth's journey from coding at 16 in Copenhagen to shaping global developer ecosystems at Stripe and Microsoft gives him a unique lens into the next generation of software businesses — and the rise of AI agents.

Want to build your own apps with AI? Get the prompts here: https://clickhubspot.com/gfb Episode 75: What if you could turn your app idea into a fully functional web application—without writing a single line of code—in under 60 seconds? Nathan Lands (https://x.com/NathanLands) welcomes Eric Simons (https://x.com/ericsimons), co-founder of Bolt, one of the hottest AI startups revolutionizing how apps are built. In this episode, Eric reveals how Bolt makes it possible for anyone, regardless of technical skill, to go from idea to live, production-ready web or mobile apps—complete with authentication, databases, and hosting. He shares Bolt's unique approach that enables rapid prototyping, real business-grade deployments, and makes high-fidelity MVPs accessible to entrepreneurs, product managers, and non-coders everywhere. The conversation covers Bolt's founding story, its growth, and details from their record-breaking hackathon that empowered 130,000+ makers. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) High Fidelity Prototyping Essentials (04:32) Revolutionary Prototyping and Collaboration Tool (06:33) Rapid Prototyping Tool Focus (11:35) Empowering Non-Tech Entrepreneurs (13:34) Fast MVP Development with Bolt (18:19) AI-Powered Personalized Weight Coach (22:10) Launching Stackblitz: Web IDE Vision (22:48) Browser-Based Dev Environments Revolution (28:05) Advancements in Coding and AI (29:28) Critical Thinking in AI Development (34:08) Teaching Kids Future Skills (37:05) Bay Area's Autonomous Transport Future — Mentions: Eric Simons: ​​https://www.linkedin.com/in/eric-simons-a464a664/ Bolt: https://bolt.new/ Figma: https://www.figma.com/ Netlify: https://www.netlify.com/ Supabase: https://supabase.com/ Cursor: https://cursor.com/ Lovable: https://lovable.dev/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

In this episode of Generation AI, hosts JC Bonilla and Ardis Kadiu break down A16Z's fifth annual Top 100 Gen AI Consumer Applications report, revealing how the AI app ecosystem has shifted from experimentation to consolidation. They discuss Google's aggressive entry with four separate products in the rankings, including Gemini's rapid rise to second place behind ChatGPT. The conversation explores how consumer AI has moved beyond novelty to become essential productivity tools, with specialized apps dominating specific use cases like image generation (Midjourney), voice (11 Labs), and the emerging category of agentic coding platforms like Lovable and Replit. The hosts also examine the global dynamics of AI adoption, including the significant presence of Chinese-developed apps and what these consumer trends mean for higher education professionals and their students.Opening and Mediterranean Reflections (00:00:00)Ardis returns from his brother's wedding in TuscanyDiscussion about taking time away from technology and workThe value of slowing down and gaining new perspectives on AI trendsThe A16Z Top 100 Report Overview (00:08:49)Fifth edition of Andreessen Horowitz's annual consumer AI apps reportBased on monthly active users on mobile and web trafficDifference between unique web visitors vs active users explainedFocus on consumer adoption patterns rather than enterprise AIMarket Stabilization and All-Stars (00:11:54)Only 11 new names on web list vs 17 last yearMarket maturity signals with winners consolidating positionsChatGPT reaches 700-800 million weekly active users14 brands consistently dominating across categoriesGoogle's Aggressive Multi-Product Strategy (00:17:00)Gemini takes second place with 12% of ChatGPT's web visitsIntroduction of Nano Banana image editing modelFour Google products separately ranked in top 100Strategic unbundling approach to compete across categoriesThe Rise of Agentic Coding (00:25:47)Evolution from "vibe coding" to "agentic coding"Lovable reaches #22, Replit maintains strong positionIntegration with Supabase for backend developmentReal work being done on these platforms, not just experimentationRegional Dynamics and Chinese Apps (00:29:19)22 out of 50 mobile apps are Chinese-developedDiscussion of China vs rest of world classificationChinese apps being exported globallyAI as a global technology play across regionsYear-Over-Year Changes (00:32:12)Deep Seek's rise and fall (down 40% from peak)Shift from novelty (2024) to utility (2025)Apple's crackdown on ChatGPT copycatsMobile list showing more innovation and newcomersVideo Generation Maturity (00:36:15)Google's VO3 dominates over SoraConsolidation in video generation spaceWorld models like Genie 3 emergingVideo becoming integrated into general assistantsImplications for Higher Education (00:38:01)Students already using multiple consumer AI toolsPattern of utility across companions, creativity, productivityNeed for educators to understand student tool usageRecommendation to explore top apps to understand student behaviorClosing Thoughts (00:41:20)Consumer AI adoption as mirror of society's AI integrationFocus shifting from smartest models to most useful appsEncouragement to test unfamiliar apps from the listPreview of fall conference season and upcoming AI announcements - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.

Astasia Myers is a GP at Felicis, an iconic VC firm with investments in companies like Shopify, Canva, Adyen, Notion, Mercor, Plaid, Supabase, Flexport, and more. Astasia's favorite books: God's Bankers (Author: Gerald Posner)(00:01) Introduction(00:26) Astasia's Infra Thesis(03:59) Golden Age of Infra & Innovators Network(06:22) RL Environments & AI Agents(08:57) Disruption Opportunities: Data & Observability(11:31) Where to Find Infra Founders(16:31) Early Signals & Thesis-Driven Investing(18:01) Picking & Decision-Making Process(20:11) Red Flags in Infra Investing(22:20) References & Diligence(24:35) Proof of Usage & Production Signals(26:24) Building Edge as an Investor(28:01) How Felicis Helps Founders Post-Investment(30:05) Consensus vs. Contrarian Views in Infra(32:09) Tourist Traps in Infra Investing(34:43) GTM & Sales Motion in Infra(37:25) Pricing Strategies for Infra Startups(40:09) Ecosystem vs. Core Product Focus(42:15) Lessons from Outlier vs. Good Companies(44:30) Infra Wedges to Fund Today(45:23) Commoditized but Promising Categories(47:06) Exciting AI Advancements(48:21) Rapid Fire Round--------Where to find Astasia Myers: LinkedIn: https://www.linkedin.com/in/astasiamyers/--------Where to find Prateek Joshi: Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-infiniteX: https://x.com/prateekvjoshiResearch column: https://infrastartups.com 

Nik and Michael discuss when not to use Postgres — specifically use cases where it still makes sense to store data in another system. Here are some links to things they mentioned:Just use Postgres (blog post by Ethan McCue) https://mccue.dev/pages/8-16-24-just-use-postgresJust Use Postgres for Everything (blog post by Stephan Schmidt) https://www.amazingcto.com/postgres-for-everythingReal-time analytics episode https://postgres.fm/episodes/real-time-analyticsCrunchy Data Joins Snowflake https://www.crunchydata.com/blog/crunchy-data-joins-snowflakeTwo sizes fit most: PostgreSQL and Clickhouse (blog post by Sid Sijbrandij) https://about.gitlab.com/blog/two-sizes-fit-most-postgresql-and-clickhousepg_duckdb episode https://postgres.fm/episodes/pg_duckdbCloudberry https://github.com/apache/cloudberryTime-series considerations episode https://postgres.fm/episodes/time-series-considerationsQueues in Postgres episode https://postgres.fm/episodes/queues-in-postgresLarge Objects https://www.postgresql.org/docs/current/largeobjects.html PGlite https://pglite.devParadeDB https://www.paradedb.comZomboDB https://github.com/zombodb/zombodbturbopuffer https://turbopuffer.comHNSW vs. DiskANN (blog post by Haziqa Sajid) https://www.tigerdata.com/learn/hnsw-vs-diskannSPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search (paper) https://www.microsoft.com/en-us/research/wp-content/uploads/2021/11/SPANN_finalversion1.pdfAmazon S3 Vectors https://aws.amazon.com/s3/features/vectorsIterative Index Scans added to pgvector in 0.8.0 https://github.com/pgvector/pgvector/issues/678S3 FDW from Supabase https://github.com/supabase/wrappers/tree/main/wrappers/src/fdw/s3_fdw~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith credit to:Jessie Draws for the elephant artwork

Reuniting after more than a decade since their days in This Week in Asia Podcast from 2009, Michael Smith Jr., co-host of The Generalist podcast, and Daniel Cerventus Lim, semi-retired entrepreneur and community builder in Malaysia, join us for a candid assessment of Southeast Asia's tech ecosystem evolution. In this raw conversation, Michael offers his unflinching perspective on what he calls the 'broken windows era' of Southeast Asian tech, arguing that recent alleged fraud cases like E-Fishery and Tanihub require serious consequences to restore investor confidence, while questioning whether the region was ever correctly modelled for Silicon Valley-style outcomes. Daniel shares his pivot from startup founder to search fund advocate, explaining his bullish view on acquiring profitable traditional businesses and reflects on whether the region's potential was genuinely unrealized or simply impossible to achieve. Together, they explore the shift from venture-backed unicorn dreams to bootstrap realities, debate work ethic of Southeast Asia founders in comparison with Chinese and Indian founders, and discuss why the future of Southeast Asian tech may lie in smaller, profitable exits rather than the massive IPOs once envisioned. "I think wealth creation here is very SME-focused." - Daniel Cerventus Lim "Basically whether, it's SME or startup, to me now it's just: can you build a profitable business?" - Bernard Leong "I have this philosophy that I think people don't agree with me, but we're in a broken Windows era of Southeast Asia and the only way in my opinion, the windows get fixed is if some of these people are behind bars." - Michael Smith Jr. Episode Highlights: [00:00] Quote of the Day by Daniel Cerventus, Bernard Leong & Michael Smith JR [00:59] Introduction: Daniel Cerventus and Michael Smith Jr. from the Generalists Podcast [06:00] Multiple alleged frauds in Southeast Asia: E-Fishery, Tanihub [09:57] Southeast Asia in "broken windows era" [11:26] Only exits from seed to Series A [11:47] B rounds virtually gone, A rounds endangered. [14:00] 50-100 million exits still viable [16:30] Malaysian crypto companies globally focused [19:25] Country expansion model in ASEAN doesn't work [23:02] Israel model: never think local market [24:15] Razer story: HP Mafia network backing [25:07] Supabase: not really Singapore capital, but globally successful [30:18] Chinese founders arriving with speed [31:19] Work ethic comparisons with India [32:34] Search funds emerging in Singapore [37:25] Mainstream media ignores bootstrap success [39:50] Search fund model targeting aging operators [41:21] SME vs startup distinction blurring [46:20] Hedge funds questioning regional companies [49:32] Unrealized vs impossible potential debate [51:07] Bangladesh ecosystem showing promise [53:20] Structural exit issues remain unsolved [54:31] Reset creating better founder discipline [55:40] Optimistic on Southeast Asia's startup ecosystem [57:21] Closing Profile: Michael Smith Jr., Tech Evangelist from Oracle & Co-Host, LinkedIn: https://www.linkedin.com/in/smittysgp/ YouTube: https://www.youtube.com/@TheGeneralistsPodcast   Daniel Cerventus Lim, semi-retired entrepreneur, Community Builder in Malaysia and TEDxKL founder. LinkedIn: https://www.linkedin.com/in/cerventus/ Facebook: https://www.facebook.com/groups/80164351656   Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format. Here are the links to watch or listen to our podcast. Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288

Want better results from AI tools? Get the Advanced Prompt Engineering guide: https://clickhubspot.com/mgv Episode 71: What if you could turn your Figma designs into fully functioning apps—just by asking? Host Nathan Lands (https://x.com/NathanLands) is joined by David Kossnick (https://x.com/DKossnick), a key leader at Figma working on the cutting edge of AI-powered design tools. David is part of the team behind Figma Make, Figma's groundbreaking new tool that takes your sketches, mockups, or even simple prompts and instantly transforms them into interactive, code-backed applications. In this episode, David demonstrates how Figma Make builds real apps—like dashboards, games, and data-powered prototypes—right before your eyes. The discussion goes deep into Figma's AI journey: from their first AI-powered features to the vision for democratizing software creation in a truly collaborative, multiplayer environment. Whether you're a designer, entrepreneur, or just someone with big ideas, this episode is a glimpse into the AI-native future of how products will be built. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) Multiplayer Code-Generating Dashboard Tool (04:29) Collaborative Project Creation with Supabase (09:29) Prompt Management Overview (10:46) Emerging Interactive Design Space (14:57) Designing with AI: Complement, Not Replace (18:24) Figma: A Collaborative Design Hub (22:42) Empowering Designers with New Superpowers (25:35) Future of Design and Innovation (28:37) AI's Impact on Future Society (29:48) AI's Future in Healthcare (33:19) Figma AI's Exciting Future — Mentions: David Kossnick: https://www.linkedin.com/in/davidkossnick Figma: https://www.figma.com/ Figma Make: https://www.figma.com/make/ Supabase: https://supabase.com/ Claude: https://claude.ai/ Waymo: https://waymo.com/ Duolingo: https://www.duolingo.com/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

Alex Lee joins the show to walk us through an end-to-end automated newsletter generator built using N8N, Airtable, and generative AI. From aggregating news and generating summaries to crafting branded HTML and distributing it via email, Alex shows how businesses can reduce newsletter production from 6 hours to 30 minutes. He also shares how Model Context Protocol (MCP) is enabling real-time access to company data, explains his decision-making process between using workflow automation tools vs. vibe coding, and previews what's next in AI-powered business automation.Timestamps:00:23 – Welcome Alex Lee: Career journey from SAP to Google to AI consulting01:31 – How ChatGPT changed his mind about NLP02:38 – Why Alex is focused on AI enablement for businesses03:36 – Use case #1: AI-powered newsletter generator04:49 – The manual pain of newsletter creation06:12 – Why email is the best owned marketing channel07:25 – Step-by-step demo: Aggregating articles, adding context, and generating drafts09:09 – Human-in-the-loop editing and brand tone tuning10:01 – HTML generation and branded email output11:03 – Use cases beyond marketing: Internal custom newsletters15:26 – Why Airtable powers the backend of the workflow17:27 – Behind the scenes: N8N automation workflow overview20:26 – Tool selection: When to use N8N vs. Zapier vs. Make21:49 – Hosting your own N8N instance for cost efficiency24:04 – How clients send the generated newsletter (Mailchimp, HubSpot, EasyMail)27:12 – Vibe coding vs. workflow automation: which path to choose?28:41 – Why Lovable stands out among V0, Replit, Cursor30:19 – Benefits of prototyping and vibe coding for non-technical folks31:24 – What is MCP and why it matters33:05 – Example: Using Claude + MCP to search Google Drive and draft an executive summary38:59 – AI-powered time tracking via calendar and file analysis40:58 – What's next: legacy system integration, coding agents, MCP standardization42:39 – How to contact AlexTools and Technologies Mentioned:N8N – Open-source workflow automation platform used to orchestrate the newsletter processAirtable – Serves as the data layer and user interface for non-technical usersClaude (Anthropic) – Used for summarization, HTML generation, and MCP interactionMCP (Model Context Protocol) – Enables AI models to access external systems like Drive and calendars in real timeZapier, Make – Workflow automation tools considered depending on client preferenceLovable – No-code/low-code app builder that successfully integrates with Supabase and OpenAIHubSpot, Mailchimp, EasyMail – Email service providers used to distribute the newslettersSupabase – Backend database often used in vibe-coded appsSubscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

Paul Copplestone is the CEO of Supabase, the Postgres development platform. He talks about the discipline needed to cross the enterprise chasm without isolating your original community. This episode is brought to you by WorkOS. If you're thinking about selling to enterprise customers, WorkOS can help you add enterprise features like Single Sign On and audit logs. Links:- Paul's LinkedIn - Paul's X - Paul's website- Supabase - Enterprise Sales vs Product-led Growth - Friction logs - Ant Wilson - Multigres: Vitess for Postgres 

Nikolay and Michael are joined by Sugu Sougoumarane to discuss Multigres — a project he's joined Supabase to lead, building an adaptation of Vitess for Postgres! Here are some links to things they mentioned:Sugu Sougoumarane https://postgres.fm/people/sugu-sougoumaraneSupabase https://supabase.comAnnouncing Multigres https://supabase.com/blog/multigres-vitess-for-postgresVitess https://github.com/vitessio/vitessSPQR https://github.com/pg-sharding/spqrCitus https://github.com/citusdata/citusPgDog https://github.com/pgdogdev/pgdogMyths and Truths about Synchronous Replication in PostgreSQL (talk by Alexander Kukushkin) https://www.youtube.com/watch?v=PFn9qRGzTMcConsensus algorithms at scale (8 part series by Sugu) https://planetscale.com/blog/consensus-algorithms-at-scale-part-1A More Flexible Paxos (blog post by Sugu) https://www.sougou.io/a-more-flexible-paxoslibpg_query https://github.com/pganalyze/libpg_queryPL/Proxy https://github.com/plproxy/plproxyPlanetScale Postgres Benchmarking https://planetscale.com/blog/benchmarking-postgresMultiXact member exhaustion incidents (blog post by Cosmo Wolfe / Metronome) https://metronome.com/blog/root-cause-analysis-postgresql-multixact-member-exhaustion-incidents-may-2025~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith special thanks to:Jessie Draws for the elephant artwork 

What do military aviation and AI workflows have in common? According to Chase Hannegan. founder of Chase AI, TikTok viral sensation and today's guest on Future Craft, it's all about precision, systems thinking, and being willing to suck at something new. Chase went from Marine Corps Osprey pilot to TikTok-famous agent builder. He's now helping thousands of creators and founders move from prompt experiments to real agent-powered execution—no coding required. In this episode, we get into: Why n8n is Chase's go-to platform for building practical, scalable agents The difference between AI workflows and true agents (and why most people get stuck) How to avoid YouTube tutorial hell and actually learn to build with intelligence A live walkthrough of Chase's personal assistant agent (and how you can steal it) What's not ready for prime time (yet), and how to build trust into your stack Whether you're a marketer, founder, or just AI-curious, Chase breaks down agent building in plain language—and shows that it's not about replacing people, but unlocking their time.

News includes the first CVE released under EEF's new CNA program for an Erlang zip traversal vulnerability, Phoenix MacroComponents being delayed for greater potential, Supabase announcing Multigres - a Vitess-like proxy for scaling Postgres to petabyte scale, a surge of new MCP server implementations for Phoenix and Plug including Phantom, HermesMCP, ExMCP, Vancouver, and Excom, a fun blog post revealing that Erlang was the only language that didn't crash under extreme load testing against 6 other languages, LiveDebugger v0.3.0 being teased with Firefox extension support and enhanced debugging capabilities, and more! Show Notes online - http://podcast.thinkingelixir.com/258 (http://podcast.thinkingelixir.com/258) Elixir Community News https://www.honeybadger.io/ (https://www.honeybadger.io/utm_source=thinkingelixir&utm_medium=podcast) – Honeybadger.io is sponsoring today's show! Keep your apps healthy and your customers happy with Honeybadger! It's free to get started, and setup takes less than five minutes. https://cna.erlef.org/cves/cve-2025-4748.html (https://cna.erlef.org/cves/cve-2025-4748.html?utm_source=thinkingelixir&utm_medium=shownotes) – New CVE for Erlang regarding zip traversal - 4.8 severity (medium) with workaround available or update to latest patched OTP versions First CVE released under the EEF's new CNA (CVE Numbering Authority) program - a successful process milestone https://bsky.app/profile/steffend.me/post/3lrlhd5etkc2p (https://bsky.app/profile/steffend.me/post/3lrlhd5etkc2p?utm_source=thinkingelixir&utm_medium=shownotes) – Phoenix MacroComponents is being delayed in search of greater potential https://github.com/phoenixframework/phoenixliveview/pull/3846 (https://github.com/phoenixframework/phoenix_live_view/pull/3846?utm_source=thinkingelixir&utm_medium=shownotes) – Draft PR for Phoenix MacroComponents development https://x.com/supabase/status/1933627932972376097 (https://x.com/supabase/status/1933627932972376097?utm_source=thinkingelixir&utm_medium=shownotes) – Supabase announcement of Multigres project https://supabase.com/blog/multigres-vitess-for-postgres (https://supabase.com/blog/multigres-vitess-for-postgres?utm_source=thinkingelixir&utm_medium=shownotes) – Multigres - Vitess for Postgres, announcement of a new proxy for scaling Postgres databases to petabyte scale https://github.com/multigres/multigres (https://github.com/multigres/multigres?utm_source=thinkingelixir&utm_medium=shownotes) – Multigres GitHub repository Sugu, co-creator of Vitess, has joined Supabase to build Multigres https://hex.pm/packages/phantom_mcp (https://hex.pm/packages/phantom_mcp?utm_source=thinkingelixir&utm_medium=shownotes) – Phantom MCP server - comprehensive implementation supporting Streamable HTTP with Phoenix/Plug integration https://hex.pm/packages/hermes_mcp (https://hex.pm/packages/hermes_mcp?utm_source=thinkingelixir&utm_medium=shownotes) – HermesMCP - comprehensive MCP server with client, stdio and Plug adapters https://hex.pm/packages/ex_mcp (https://hex.pm/packages/ex_mcp?utm_source=thinkingelixir&utm_medium=shownotes) – ExMCP - comprehensive MCP implementation with client, server, stdio and Plug adapters, uses Horde for distribution https://hex.pm/packages/vancouver (https://hex.pm/packages/vancouver?utm_source=thinkingelixir&utm_medium=shownotes) – Vancouver MCP server - simple implementation supporting only tools https://hex.pm/packages/excom (https://hex.pm/packages/excom?utm_source=thinkingelixir&utm_medium=shownotes) – Excom MCP server - simple implementation supporting only tools https://www.youtube.com/watch?v=4dzZ44-xVds (https://www.youtube.com/watch?v=4dzZ44-xVds?utm_source=thinkingelixir&utm_medium=shownotes) – AshAI video demo showing incredible introspection capabilities for MCP frameworks https://freedium.cfd/https:/medium.com/@codeperfect/we-tested-7-languages-under-extreme-load-and-only-one-didnt-crash-it-wasn-t-what-we-expected-67f84c79dc34 (https://freedium.cfd/https:/medium.com/@codeperfect/we-tested-7-languages-under-extreme-load-and-only-one-didnt-crash-it-wasn-t-what-we-expected-67f84c79dc34?utm_source=thinkingelixir&utm_medium=shownotes) – Blog post comparing 7 languages under extreme load - Erlang was the only one that didn't crash https://github.com/software-mansion/live-debugger (https://github.com/software-mansion/live-debugger?utm_source=thinkingelixir&utm_medium=shownotes) – LiveDebugger v0.3.0 release being teased with new features https://bsky.app/profile/membrane-swmansion.bsky.social/post/3lrb4kpmmw227 (https://bsky.app/profile/membrane-swmansion.bsky.social/post/3lrb4kpmmw227?utm_source=thinkingelixir&utm_medium=shownotes) – Software Mansion preview of LiveDebugger v0.3.0 features including Firefox extension and enhanced debugging capabilities https://smartlogic.io/podcast/elixir-wizards/s14-e03-langchain-llm-integration-elixir/ (https://smartlogic.io/podcast/elixir-wizards/s14-e03-langchain-llm-integration-elixir/?utm_source=thinkingelixir&utm_medium=shownotes) – Elixir Wizards podcast episode featuring discussion with Mark Ericksen on the Elixir LangChain project for LLM integration Do you have some Elixir news to share? Tell us at @ThinkingElixir (https://twitter.com/ThinkingElixir) or email at show@thinkingelixir.com (mailto:show@thinkingelixir.com) Find us online - Message the show - Bluesky (https://bsky.app/profile/thinkingelixir.com) - Message the show - X (https://x.com/ThinkingElixir) - Message the show on Fediverse - @ThinkingElixir@genserver.social (https://genserver.social/ThinkingElixir) - Email the show - show@thinkingelixir.com (mailto:show@thinkingelixir.com) - Mark Ericksen on X - @brainlid (https://x.com/brainlid) - Mark Ericksen on Bluesky - @brainlid.bsky.social (https://bsky.app/profile/brainlid.bsky.social) - Mark Ericksen on Fediverse - @brainlid@genserver.social (https://genserver.social/brainlid) - David Bernheisel on Bluesky - @david.bernheisel.com (https://bsky.app/profile/david.bernheisel.com) - David Bernheisel on Fediverse - @dbern@genserver.social (https://genserver.social/dbern)

Welcome to yet another episode of the Build In Public Podcast!

Episode 63: What if you could turn your idea into a fully working app—just by describing it in plain English? Matt Wolfe (https://x.com/mreflow) sits down with Anton Osika (https://x.com/antonosika), CEO of Lovable, a revolutionary platform that lets anyone build and launch software using AI—no code or development team required. In this episode, Anton gives a live demo of Lovable, reveals how creators of all ages—including kids and solo founders—are launching real businesses in hours, and dives into how AI-powered platforms like Lovable will change the future of entrepreneurship, creativity, and even move us closer to AGI. If you're a builder, maker, or curious about the next frontier in software creation, this conversation will reshape how you think about launching your next product. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) AI-Powered Code Revolution (04:21) Engineers as Problem Translators (07:50) Supabase Integration Simplifies Startups (10:49) Enhancing Design and Collaboration (16:46) Intuitive AI Interface Development (19:31) AI Empowering Solo Entrepreneurs (22:40) Future of Software Development: Automation Impact (24:18) Lovable App — Mentions: Want better prompts? Get our guide to Advanced Prompt Engineering: https://clickhubspot.com/wbo Anton Osika: https://www.linkedin.com/in/antonosika/ Lovable: https://lovable.dev/ Supabase: https://supabase.com/ Claude: https://claude.ai/ Gemini: https://gemini.google.com/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

Lukas Mathis tells us to stop uploading our data to Google, Robert Vitonsky wants web devs to not guess his language using his IP, Tom from GameTorch reminds us that software talent is gold right now, Austin Parker from Honeycomb describes how LLMs are upending the observability industry, and Vitess co-creator, Sugu Sougoumarane, joins Supabase to lead their Multigres effort to bring Vitess to Postgres.

Lukas Mathis tells us to stop uploading our data to Google, Robert Vitonsky wants web devs to not guess his language using his IP, Tom from GameTorch reminds us that software talent is gold right now, Austin Parker from Honeycomb describes how LLMs are upending the observability industry, and Vitess co-creator, Sugu Sougoumarane, joins Supabase to lead their Multigres effort to bring Vitess to Postgres.

Lukas Mathis tells us to stop uploading our data to Google, Robert Vitonsky wants web devs to not guess his language using his IP, Tom from GameTorch reminds us that software talent is gold right now, Austin Parker from Honeycomb describes how LLMs are upending the observability industry, and Vitess co-creator, Sugu Sougoumarane, joins Supabase to lead their Multigres effort to bring Vitess to Postgres.

Episode 714: Shaan Puri ( https://x.com/ShaanVP ) sits down with Matt Mazzeo ( https://x.com/Mazzeo ) about using AI agents as your go-to-market.  — Show Notes: (0:00) Intro  (3:30) AI as the Go-to-Market (8:50) The Billion Dollar Secret  (12:03) Mario Kart Theory (18:55) Being a Tinkerer/Supabase (25:38) Amjad Masad/Replt (28: 41) Taste (36:44) Agents replacing VCs (37:57) Agent Employees (42:28) Story Game — Links: • Want Sam's guide to use ChatGPT? Get it here: https://clickhubspot.com/wpv • Supabase - https://supabase.com/  • Replit - https://replit.com/  • Clay - https://www.clay.com/  • Alpha Go Movie - https://www.youtube.com/watch?v=WXuK6gekU1Y  — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC

For the full experience, watch this episode on YouTube: https://www.youtube.com/watch?v=d0j_n3OOM7c Episode 712: Sam Parr ( https://x.com/theSamParr ) talks to Greg Isenberg ( https://x.com/gregisenberg ) talk about how to find a startup idea and build it in a couple hours using AI.  — Show Notes: (0:00) Step 1: Find an idea (7:57) Step 2: Sketch out the idea (9:48) Step 3: Scope out the MVP (18:25) Step 4: Vibe code a prototype (36:06) Step 5: Vibe marketing the business (49:14) Step 6: AI agent product manager — Links: • Want Greg's guide to Build an AI Startup in 3 Hours with

Episode 124: In this episode of Critical Thinking - Bug Bounty Podcast Justin and Joseph cover some news from around the community, hitting on Joseph's Anthropic safety testing, Justin's guest appearance on For Crying Out Cloud, and several fascinating tweets. Then they have a quick Full-time Bug Bounty check-in.Follow us on twitter at: https://x.com/ctbbpodcastGot any ideas and suggestions? Feel free to send us any feedback here: info@criticalthinkingpodcast.ioShoutout to YTCracker for the awesome intro music!====== Links ======Follow your hosts Rhynorater and Rez0 on Twitter: https://x.com/Rhynoraterhttps://x.com/rez0__====== Ways to Support CTBBPodcast ======Hop on the CTBB Discord at https://ctbb.show/discord!We also do Discord subs at $25, $10, and $5 - premium subscribers get access to private masterclasses, exploits, tools, scripts, un-redacted bug reports, etc.You can also find some hacker swag at https://ctbb.show/merch!Today's Sponsor - ThreatLocker Web Controlhttps://www.criticalthinkingpodcast.io/tl-webcontrol====== This Week in Bug Bounty ======Louis Vuitton Public Bug Bounty ProgramCVE-2025-47934 was discovered on one of our Bug Bounty program : OpenPGP.jsStored XSS in File Upload Leads to Privilege Escalation and Full Workspace Takeover====== Resources ======Jorian tweetClipjacking: Hacked by copying text - Clickjacking but betterCrying out Cloud AppearanceWiz Research takes 1st place in Pwn2Own AI categoryNew XSS vector with image tag====== Timestamps ======(00:00:00) Introduction(00:10:50) Supabase(00:13:47) Tweet-research from Jorian and Wyatt Walls.(00:20:24) Anthropic safety testing challenge & Wiz Podcast guest appearance(00:27:44) New XSS vector, Google i/o, and coding agents(00:35:48) Full Time Bug Bounty

Welcome to another episode of Supra Insider. This time, Marc sat down with Kyle Ledbetter and Andy Keil, the co-founders of Dreambase—an AI-native toolset built on top of Supabase. Despite not having formal engineering backgrounds, Kyle and Andy have built and launched three fully functional products in just nine months.They unpack their unique zero-to-one process—from jamming on whiteboards to building multimodal prompts, doing bake-offs across V0, Bolt, and Lovable, and validating with real users in days, not months.This episode is packed with insights on collaboration, prototyping workflows, and why the best AI builders might not be engineers.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

In 2020, when open source database Supabase was founded, its New Zealand-based CEO, Paul Copplestone, couldn't have imagined it would be sitting in the sweet spot for 2025's biggest trend: vibe coding.  Learn more about your ad choices. Visit podcastchoices.com/adchoices

News includes a new Elixir case study about Cyanview's camera shading technology used at major events like the Olympics and Super Bowl, Oban Pro 1.6 with 20x faster queue partitioning, the openid_connect package reaching version 1.0, Supabase's new Postgres Language Server for developer tooling, and ElixirEvents.net as a community resource. Plus, we interview Michael Lubas, founder of Paraxial.io, about web application security in Elixir, what's involved in a security audit, and how his Elixir-focused security company is helping teams and businesses in the community. Show Notes online - http://podcast.thinkingelixir.com/248 (http://podcast.thinkingelixir.com/248) Elixir Community News https://elixir-lang.org/blog/2025/03/25/cyanview-elixir-case/ (https://elixir-lang.org/blog/2025/03/25/cyanview-elixir-case/?utm_source=thinkingelixir&utm_medium=shownotes) – New Elixir case study about Cyanview, a Belgian company whose Remote Control Panel for camera shading is used at major events like the Olympics and Super Bowl. Their Elixir-powered solution enables remote camera control across challenging network conditions. https://oban.pro/docs/pro/1.6.0-rc.1/changelog.html (https://oban.pro/docs/pro/1.6.0-rc.1/changelog.html?utm_source=thinkingelixir&utm_medium=shownotes) – Oban Pro 1.6 released with subworkflows, improved queue partitioning (20x faster), and a new guide explaining different job composition approaches. https://oban.pro/docs/pro/1.6.0-rc.1/composition.html (https://oban.pro/docs/pro/1.6.0-rc.1/composition.html?utm_source=thinkingelixir&utm_medium=shownotes) – New Oban Pro guide explaining when to use chains, workflows, chunks, or batches for job composition. https://github.com/DockYard/openid_connect (https://github.com/DockYard/openid_connect?utm_source=thinkingelixir&utm_medium=shownotes) – The Elixir package 'openid_connect' reached version 1.0, providing client library support for working with various OpenID Connect providers like Google, Microsoft Azure AD, Auth0, and others. https://hexdocs.pm/openid_connect/readme.html (https://hexdocs.pm/openid_connect/readme.html?utm_source=thinkingelixir&utm_medium=shownotes) – Documentation for the newly released openid_connect 1.0 package. https://bsky.app/profile/davelucia.com/post/3llqwsbyutc2z (https://bsky.app/profile/davelucia.com/post/3llqwsbyutc2z?utm_source=thinkingelixir&utm_medium=shownotes) – Announcement that openid_connect is maintained by tvlabs. https://bsky.app/profile/germsvel.com/post/3llee5lyerk2b (https://bsky.app/profile/germsvel.com/post/3llee5lyerk2b?utm_source=thinkingelixir&utm_medium=shownotes) – PhoenixTest v0.6.0 has been released with significant changes, including a breaking change. https://github.com/germsvel/phoenix_test (https://github.com/germsvel/phoenix_test?utm_source=thinkingelixir&utm_medium=shownotes) – GitHub repository for PhoenixTest. https://hexdocs.pm/phoenixtest/upgradeguides.html#upgrading-to-0-6-0 (https://hexdocs.pm/phoenix_test/upgrade_guides.html#upgrading-to-0-6-0?utm_source=thinkingelixir&utm_medium=shownotes) – Upgrade guide for updating to PhoenixTest v0.6.0 with its breaking change. https://hexdocs.pm/phoenix_test/changelog.html#0-6-0 (https://hexdocs.pm/phoenix_test/changelog.html#0-6-0?utm_source=thinkingelixir&utm_medium=shownotes) – Changelog for PhoenixTest v0.6.0. https://supabase.com/blog/postgres-language-server (https://supabase.com/blog/postgres-language-server?utm_source=thinkingelixir&utm_medium=shownotes) – Supabase has released a new Postgres Language Server for developers, providing IDE intellisense and autocomplete for PostgreSQL. https://marketplace.visualstudio.com/items?itemName=Supabase.postgrestools (https://marketplace.visualstudio.com/items?itemName=Supabase.postgrestools?utm_source=thinkingelixir&utm_medium=shownotes) – VSCode extension for Supabase's new Postgres developer tools. https://github.com/supabase-community/postgres-language-server (https://github.com/supabase-community/postgres-language-server?utm_source=thinkingelixir&utm_medium=shownotes) – GitHub repository for Supabase's Postgres Language Server. https://pgtools.dev/ (https://pgtools.dev/?utm_source=thinkingelixir&utm_medium=shownotes) – Official website for Postgres Tools with documentation and features. https://pgtools.dev/checking_migrations/ (https://pgtools.dev/checking_migrations/?utm_source=thinkingelixir&utm_medium=shownotes) – Feature in Postgres Tools that lints database migrations to check for problematic schema changes. https://github.com/fly-apps/safe-ecto-migrations (https://github.com/fly-apps/safe-ecto-migrations?utm_source=thinkingelixir&utm_medium=shownotes) – Resource for ensuring safe Ecto migrations. https://fly.io/phoenix-files/safe-ecto-migrations/ (https://fly.io/phoenix-files/safe-ecto-migrations/?utm_source=thinkingelixir&utm_medium=shownotes) – Article about safe Ecto migrations posted on Fly.io. https://elixirevents.net/ (https://elixirevents.net/?utm_source=thinkingelixir&utm_medium=shownotes) – Community resource created by Johanna Larsson for tracking, sharing, and learning about Elixir events worldwide. https://bsky.app/profile/elixirevents.net (https://bsky.app/profile/elixirevents.net?utm_source=thinkingelixir&utm_medium=shownotes) – Bluesky account for ElixirEvents.net for following Elixir community events. Do you have some Elixir news to share? Tell us at @ThinkingElixir (https://twitter.com/ThinkingElixir) or email at show@thinkingelixir.com (mailto:show@thinkingelixir.com) Discussion Resources https://paraxial.io/ (https://paraxial.io/?utm_source=thinkingelixir&utm_medium=shownotes) https://paraxial.io/blog/index (https://paraxial.io/blog/index?utm_source=thinkingelixir&utm_medium=shownotes) – Blog with posts about security for Elixir, Rails, and the Paraxial service https://www.cnn.com/2025/03/18/tech/google-wiz-acquisition/index.html (https://www.cnn.com/2025/03/18/tech/google-wiz-acquisition/index.html?utm_source=thinkingelixir&utm_medium=shownotes) https://podcast.thinkingelixir.com/93 (https://podcast.thinkingelixir.com/93?utm_source=thinkingelixir&utm_medium=shownotes) – Our last discussion was 3 years ago in episode 93! Titled "Preventing Service Abuse with Michael Lubas" https://www.amazon.com/Innovators-Dilemma-Revolutionary-Change-Business/dp/0062060244 (https://www.amazon.com/Innovators-Dilemma-Revolutionary-Change-Business/dp/0062060244?utm_source=thinkingelixir&utm_medium=shownotes) https://www.merriam-webster.com/dictionary/Kafkaesque - having a nightmarishly complex, bizarre, or illogical quality (https://www.merriam-webster.com/dictionary/Kafkaesque - having a nightmarishly complex, bizarre, or illogical quality?utm_source=thinkingelixir&utm_medium=shownotes) https://paraxial.io/blog/oban-pentest (https://paraxial.io/blog/oban-pentest?utm_source=thinkingelixir&utm_medium=shownotes) – Completed a Security Audit of Oban Pro - this is after ObanPro went free and OpenSource https://paraxial.io/blog/elixir-best (https://paraxial.io/blog/elixir-best?utm_source=thinkingelixir&utm_medium=shownotes) – Elixir and Phoenix Security Checklist: 11 Best Practices https://paraxial.io/blog/rails-command-injection (https://paraxial.io/blog/rails-command-injection?utm_source=thinkingelixir&utm_medium=shownotes) – Ruby on Rails Security: Preventing Command Injection https://paraxial.io/blog/paraxial-three (https://paraxial.io/blog/paraxial-three?utm_source=thinkingelixir&utm_medium=shownotes) – Paraxial.io v3 blog post Guest Information - Michael Lubas, Paraxial.io Founder - michael@paraxial.io - https://x.com/paraxialio (https://x.com/paraxialio?utm_source=thinkingelixir&utm_medium=shownotes) – on Twitter/X - https://x.com/paraxialio (https://x.com/paraxialio?utm_source=thinkingelixir&utm_medium=shownotes) – on Twitter/X - https://github.com/paraxialio/ (https://github.com/paraxialio/?utm_source=thinkingelixir&utm_medium=shownotes) – on Github - https://www.youtube.com/@paraxial5874 (https://www.youtube.com/@paraxial5874?utm_source=thinkingelixir&utm_medium=shownotes) – Paraxial.io channel on YouTube - https://genserver.social/paraxial (https://genserver.social/paraxial?utm_source=thinkingelixir&utm_medium=shownotes) – on Fediverse - https://paraxial.io/ (https://paraxial.io/?utm_source=thinkingelixir&utm_medium=shownotes) – Blog Find us online - Message the show - Bluesky (https://bsky.app/profile/thinkingelixir.com) - Message the show - X (https://x.com/ThinkingElixir) - Message the show on Fediverse - @ThinkingElixir@genserver.social (https://genserver.social/ThinkingElixir) - Email the show - show@thinkingelixir.com (mailto:show@thinkingelixir.com) - Mark Ericksen on X - @brainlid (https://x.com/brainlid) - Mark Ericksen on Bluesky - @brainlid.bsky.social (https://bsky.app/profile/brainlid.bsky.social) - Mark Ericksen on Fediverse - @brainlid@genserver.social (https://genserver.social/brainlid) - David Bernheisel on Bluesky - @david.bernheisel.com (https://bsky.app/profile/david.bernheisel.com) - David Bernheisel on Fediverse - @dbern@genserver.social (https://genserver.social/dbern)

In this episode, Amy and Brad dive into the ongoing debate between Laravel and full stack JavaScript frameworks. They explore both ecosystems from their unique perspectives. Amy shares her real-world experience building a project in Laravel after working extensively with JavaScript frameworks, highlighting where each approach shines and struggles. From Laravel's backend prowess to the cognitive load of context switching between languages, this episode offers practical insights for developers weighing these technology choices.Show Notes00:00 - Intro01:00 - Sponsorship: Sanity01:59 - Origins of the Laravel vs JavaScript Discussion03:59 - Amy's Experience Building a Project in Laravel06:59 - PHP Development and Linting Experience11:59 - Understanding MVC Architecture15:00 - Challenges with JavaScript Backend Services18:00 - Backend Strengths of Laravel20:00 - Frontend Challenges in Laravel23:00 - Comparing Laravel and JavaScript Ecosystem Solutions26:59 - JavaScript Full Stack Frameworks Discussion30:00 - Architectural Differences Between Frameworks33:00 - Framework Choice Considerations38:59 - Picks and Plugs: Newsletter and Cameras42:00 - Picks and Plugs: Games and YouTube Links and ResourcesSanity.io (sponsor)LaravelSam's podcast: Frontend FirstRedwoodJSRemixNext.jsAstroSupabaseInngestResend (email service)Postmark (email service)OpenAIPrismaPHP StormLaravel Blade (templating language)Laravel LivewireAlpine.jsLaravel BreezeLaravel Eloquent ORMAdonis/AdonisJSEpisode 54: Why RedwoodJS is the App Framework for Startups, with David PriceViteStorybookAmy's newsletter: Broken CombInsta360 X2 cameraInsta360 Go 3 cameraStardew Valley (game)Brad's YouTube channelCloudinary channel and Dev Hints series

Support Good Morning Gwinnett $5.99 A Month https://www.spreaker.com/podcast/good-morning-gwinnett-podcast--3262933/support_____________________________________________In this episode, we break down the exact steps to launch your own educational mobile app—even if you have zero tech skills and a tight budget.

Rahul Vohra is the founder and CEO of Superhuman. Prior to Superhuman, Rahul founded Rapportive, the first Gmail plug-in to scale to millions of users, which he sold to LinkedIn in 2012. He is also a prominent angel investor, and his fund has invested $50 million in over 120 companies, including Placer, Supabase, Mercury, Zip, ClassDojo, and Writer.What you'll learn:• The unexpected insight about virality Rahul gained from LinkedIn's head of growth.• Why Rahul restructured his entire executive team to spend 60% to 70% of his time on product, design, and marketing instead of the typical CEO responsibilities.• The counterintuitive approach to finding product-market fit using a methodical system inspired by Sean Ellis, and how this algorithmically determines your roadmap.• How manually onboarding every user (Superhuman had 20 full-time people doing this at peak) created superfans and allowed engineers to focus on product rather than onboarding flows.• The “Single Decisive Reason” framework for making better decisions by avoiding collections of weak justifications.• How Superhuman's AI features have evolved to create a truly intelligent email experience that works while you sleep.—Brought to you by:• Eppo—Run reliable, impactful experiments• Fundrise Flagship Fund—Invest in $1.1 billion of real estate• OneSchema—Import CSV data 10x faster—Find the transcript at: https://www.lennysnewsletter.com/p/superhumans-secret-to-success-rahul-vohra—Where to find Rahul Vohra:• X: https://x.com/rahulvohra• LinkedIn: https://www.linkedin.com/in/rahulvohra/• Email: Rahul@superhuman.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Rahul and Superhuman(05:00) The most pivotal moment in Rahul's career(07:01) The secret to virality(11:02) Superhuman's product evolution and core values(13:32) Overcoming slowdowns at scale(18:06) Time management and meditation(27:35) The role of a president(30:56) Attention to detail(43:00) Finding your unique position(47:32) The power of manual onboarding(52:37) Mastering product-market fit(59:33) Game design in business software(01:05:35) Contrarian pricing strategies(01:09:29) Leveraging AI(01:15:40) Transitioning to enterprise solutions(01:19:08) The Single Decisive Reason framework(01:22:32) Conclusion and final thoughts—Referenced:• Superhuman: https://superhuman.com/• Rapportive: https://techcrunch.com/2012/02/22/rapportive-linkedin-acquisition/• Elliot Shmukler on LinkedIn: https://www.linkedin.com/in/eshmu/• What Are ‘Whales' in Video Games: https://gamerant.com/video-games-whales-concept-term-explained/• Figma: https://www.figma.com/• Notion: https://www.notion.com/• Loom: https://www.loom.com/• How to use Team Comments to reimagine email collaboration: https://blog.superhuman.com/how-to-use-team-comments-to-reimagine-email-collaboration/• Rajiv Ayyangar's post on X about Superhuman: https://x.com/rajivayyangar/status/1816176308130570385• Transcendental Meditation: https://www.tm.org/• Laurent Valosek on LinkedIn: https://www.linkedin.com/in/laurent-valosek-18708b5a/• Peak Leadership Institute: https://www.peakleadershipinstitute.com/• Ed Sim's website: https://edsim.net/• Adelle Sans: https://fonts.adobe.com/fonts/adelle-sans• Comic Sans: https://en.wikipedia.org/wiki/Comic_Sans• Greenfield project: https://en.wikipedia.org/wiki/Greenfield_project• Why Mailbox died: https://www.theverge.com/2015/12/8/9873268/why-dropbox-mailbox-shutdown• Bill Trenchard on X: https://x.com/btrenchard• How Superhuman Built an Engine to Find Product-Market Fit: https://review.firstround.com/how-superhuman-built-an-engine-to-find-product-market-fit/• Using the Sean Ellis Test for Measuring Your Product-Market Fit: https://medium.productcoalition.com/using-sean-ellis-test-for-measuring-your-product-market-fit-c8ac98053c2c• Sean Ellis on LinkedIn: https://www.linkedin.com/in/seanellis/• The original growth hacker reveals his secrets | Sean Ellis (author of “Hacking Growth”): https://www.lennysnewsletter.com/p/the-original-growth-hacker-sean-ellis• The Trouble with Rewards: https://www.kornferry.com/insights/briefings-magazine/issue-13/519-the-trouble-with-rewards• The art and science of pricing | Madhavan Ramanujam (Monetizing Innovation, Simon-Kucher): https://www.lennysnewsletter.com/p/the-art-and-science-of-pricing-madhavan•  Van Westendorp Price Sensitivity Meter: https://en.wikipedia.org/wiki/Van_Westendorp%27s_Price_Sensitivity_Meter• AI-powered email for high-performing teams: https://superhuman.com/ai• Linear's secret to building beloved B2B products | Nan Yu (Head of Product): https://www.lennysnewsletter.com/p/linears-secret-to-building-beloved-b2b-products-nan-yu• Single Decisive Reason: decision-making for fast-scaling startups: https://blog.superhuman.com/single-decisive-reason-decision-making-for-fast-scaling-startups/• Reid Hoffman on LinkedIn: https://www.linkedin.com/in/reidhoffman/—Recommended books:• Positioning: The Battle for Your Mind: https://www.amazon.com/Positioning-Battle-Your-Al-Ries/dp/0071373586• Monetizing Innovation: How Smart Companies Design the Product Around the Price: https://www.amazon.com/Monetizing-Innovation-Companies-Design-Product/dp/1119240867—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. Get full access to Lenny's Newsletter at www.lennysnewsletter.com/subscribe

Anton Osika is the co-founder and CEO of Lovable, which is building what they call “the last piece of software”—an AI-powered tool that turns descriptions into working products without requiring any coding knowledge. Since launching three months ago, Lovable hit $4 million ARR in the first four weeks and $10 million ARR in two months with a team of just 15 people, making it Europe's fastest-growing startup ever.—What you'll learn:1. Why you need to be in the top 1% of AI tool users2. Watch Lovable build a functional Airbnb clone in 30 seconds—complete with working features and modern design3. The unconventional hiring approach that helped build a 15-person team capable of extraordinary execution4. How traditional product development will look with AI5. What skills will matter most to product teams going forward6. How Anton's team discovered a breakthrough in AI “unsticking itself”—Brought to you by:• Sinch—Build messaging, email, and calling into your product• Persona—A global leader in digital identity verification• Fundrise Flagship Fund—Invest in $1.1 billion of real estate—Find the transcript at: https://www.lennysnewsletter.com/p/building-lovable-anton-osika—Where to find Anton Osika:• X: https://x.com/antonosika• LinkedIn: https://www.linkedin.com/in/antonosika/—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 Anton and Lovable(05:12) Lovable's rapid growth(09:39) Live demo: Building an Airbnb clone(18:34) Tips for mastering Lovable(21:42) The origin story(26:50) Scaling laws and getting AI unstuck(33:20) Reliability and unique features(36:25) The vision and future of Lovable(38:14) Skills and job market evolution in the age of AI(40:30) Hiring philosophy and team dynamics(46:21) Building in Europe(48:02) Prioritization and product roadmap(51:38) Tools and work environment(53:17) Tactics for moving fast(54:37) Advice for building product teams(57:11) Empowering non-technical founders(58:31) Future developments and user support(01:01:23) Failure corner(01:05:20) Final thoughts and advice—Referenced:• Lovable: https://lovable.dev/• Lovable Launched: https://launched.lovable.app/• Cloudflare: https://www.cloudflare.com/• Supabase: https://supabase.com/• GPT engineer: https://github.com/gpt-engineer-org/gptengineer.app• Microsoft Copilot: https://copilot.microsoft.com/chats/cmFw8dTsGU8D6b9siqQ6U• Fabian Hedin on LinkedIn: https://www.linkedin.com/in/fabian-hedin-2377b0144/• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• Replit: https://replit.com/• Cursor: https://www.cursor.com• Bolt: https://bolt.new/• GitHub: https://github.com/• Lane Shackleton on LinkedIn: https://www.linkedin.com/in/laneshackleton/• FigJam: https://www.figma.com/figjam/• Linear: https://linear.app/• Sana Labs: https://sanalabs.com/• Duolingo: https://www.duolingo.com/• Claude: https://claude.ai/• ChatGPT: https://chatgpt.com/• Lovable on X: https://x.com/Lovable_dev—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. Get full access to Lenny's Newsletter at www.lennysnewsletter.com/subscribe

Do you really need a framework? Scott and Wes bring on CJ to break down when frameworks like Vue, Svelte, and Astro are worth it—and when they might just add complexity. They dive into everything from rendering strategies to auth solutions, deployment options, and how to choose the right tool for the job. Show Notes 00:00 Welcome to Syntax! 01:32 Brought to you by Sentry.io. 03:17 What is a framework? Syntax Meetup San Francisco. 08:21 Examples of frameworks for Vue, Svelte and Angular. 12:39 What questions do you need to answer? 12:44 What or where do you need to ship? 14:12 How do you render it? 18:22 Where are you deploying it? 24:03 How do you store data? 24:09 Existing API. 26:03 Integrated server. 26:22 Database. Supabase. 26:59 Does it have RPC or server actions? 34:27 Do you need authentication? 38:45 Auth packages. LuciaJS. Lucia announcement. Lucia preview. NPM Arctic Oauth. Auth utilities. Better-Auth. Scott's Drop-In Auth. 42:10 Does it include email? 42:52 What does the TypeScript story look like? 43:32 How does it handle images? 44:35 How do we work with CSS? 46:02 How long has it been around? 47:37 How mature is the ecosystem? 48:35 Is there community support? 50:21 Portability. 51:18 Hiring. 52:17 Sick Pick + Shameless Plugs. Sick Picks CJ: Infinite Health. Scott: USB A to C adapters. Wes: Citric Acid. Shameless Plugs Scott: Syntax on YouTube Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads