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  • Y Combinator Startup Podcast
    Y Combinator Startup Podcast

    1

    Y Combinator Startup Podcast

    Y Combinator

  • That Real Blind Tech Show
    That Real Blind Tech Show

    2

    That Real Blind Tech Show

    Brian Fischler, Ed Plumacher, and Allison Meloy

  • Deep Questions with Cal Newport
    Deep Questions with Cal Newport

    3

    Deep Questions with Cal Newport

    Cal Newport

  • The Pragmatic Engineer
    The Pragmatic Engineer

    4

    The Pragmatic Engineer

    Gergely Orosz

  • Waveform: The MKBHD Podcast
    Waveform: The MKBHD Podcast

    5

    Waveform: The MKBHD Podcast

    MKBHD

  • Freedom Scientific Training Podcast
    Freedom Scientific Training Podcast

    6

    Freedom Scientific Training Podcast

    Freedom Scientific Training Department

  • The AI Daily Brief: Artificial Intelligence News and Analysis
    The AI Daily Brief: Artificial Intelligence News and Analysis

    7

    The AI Daily Brief: Artificial Intelligence News and Analysis

    Nathaniel Whittemore

Essentials

  • Hard Fork
    Technology
    Technology

    Every two weeks

  • The Vergecast
    Technology
    Technology

    Updated twice weekly

  • There Are No Girls on the Internet
    Technology
    Technology

    Updated weekly

  • Endless Thread
    Technology
    Technology

    Updated weekly

  • Land of the Giants
    Business
    Business

    Weekly series

  • Channels with Peter Kafka
    Business News
    Business News

    Updated weekly

  • Uncanny Valley | WIRED
    Technology
    Technology

    Updated weekly

  • How François Chollet Is Building A New Path To AGI

    6 DAYS AGO

    1

    How François Chollet Is Building A New Path To AGI

    François Chollet has spent years asking a different question than most of the AI world. Instead of scaling what already works, he’s trying to understand what intelligence actually is—and how to build it from first principles. In this episode of Lightcone, he traces that path from his early work on deep learning to the creation of the ARC prize, and the launch of ARC V3, a new benchmark designed to measure something deeper than performance: the ability to learn, adapt, and reason efficiently in entirely new environments. He explains why today’s systems may be hitting limits, what recent breakthroughs really mean, and why reaching true general intelligence may require a fundamentally different approach.00:00 - AGI by 2030?00:31 - Introducing Ndea: A New Path Beyond Deep Learning01:08 - A New ML Paradigm 01:30 - Replacing neural nets with compact symbolic programs03:04 - Why Ndea Isn’t Competing With Coding Agents05:20 - Why Everyone Might Be Wrong About Scaling LLMs07:22 - Why Coding Agents Suddenly Work So Well08:50 - The Limits of LLMs in Non-Verifiable Domains10:48 - What AGI Actually Means (And Why Most Definitions Are Wrong)13:30 - Why Deep Learning Hits a Wall 14:00 - ARC’s Origin Story18:20 - ARC Benchmarks Explained: From V1 to V322:49 - The RL Loop Powering Coding Agents Today27:03 - ARC-AGI V3: Measuring “Agentic Intelligence”31:14 - Inside the ARC Game Studio35:31 - Could AGI Fit in 10,000 Lines of Code?44:01 - Building Ndea: From Idea to Compounding Research Stack46:46 - The Future of ARC: Benchmarks That Evolve With AI47:21 - Why There’s Still Huge Opportunity for New AI Paradigms53:37 - How to Build a Breakout Open Source Project - Lessons From Kera56:39 - Advice For How To Think About AIApply to Y Combinator: https://www.ycombinator.com/applyWork at a startup: https://www.ycombinator.com/jobs

    6 days ago

    •
    57 min
  • Inside The Startup Reinventing America’s Trillion Dollar Chemical Industry

    20 MAR

    2

    Inside The Startup Reinventing America’s Trillion Dollar Chemical Industry

    Solugen is reinventing the trillion-dollar chemical manufacturing industry by combining biology and chemistry in a new way. In this episode of Hard Tech, YC's Jared Friedman visits co-founders Gaurab Chakrabarti and Sean Hunt at their Houston HQ to see how they went from a $7,000 PVC reactor to a billion-dollar company competing with industry giants. They cover the breakthrough behind their enzymatic + catalytic production, how they found their first customers, and why starting small and staying close to customers let them win in a capital-intensive industry. Chapters:00:00 - A New Kind of Chemical Plant01:02 - Fusing Biology + Chemistry In a New Way02:23 - The Eureka Moment: From Pancreatic Cancer to Hydrogen Peroxide03:30 - Using A Sugar Feedstock Over Oil and Gas 04:22 - Proving Enzymes Work at Scale In Chemical Manufacturing05:16 - The $7K PVC Reactor06:44 - Finding First Customers at YC08:12 - What The Co-founders Got Out of YC09:33 - Seed Round to Bio Forge10:32 - Scaling to a Full-Size Plant (Bioforge)11:57 - The Future of American Manufacturing12:29 - The Next Decade of Solugen Apply to Y Combinator: https://www.ycombinator.com/applyWork at a startup: https://www.ycombinator.com/jobs

    20 Mar

    •
    13 min
  • Is Flighty a Top 5 App of All Time?

    6 DAYS AGO

    3

    Is Flighty a Top 5 App of All Time?

    This week, Marques, Andrew, and David have a ton to get through. First, it's all about Apple with the WWDC announcement, a potential Siri app, and ads coming to Apple Maps. Then it turns to the Flighty app, the state of Microsoft vs Apple laptops, and encryption in Instagram DMs. It's a lot! Of course, we wrap it all up with Trivia. Links: New stickers! Reddit - Person watching Waveform in planetarium Verge - Apple testing Standalone Siri app New Samsung A-series phones Verge - Ads in Apple Maps Flighty - Intelligent Airports update MKBHD - Windows vs Apple laptops Verge - OpenAI discontinues Sora Instagram - Ending E2EE Verge - Router ban Decoder interview This episode brought to you by: Monarch: https://www.monarch.com (code: wave) Zapier: https://www.zapier.com/wave Socials: Waveform Threads: https://www.threads.net/@waveformpodcast Waveform Instagram: https://www.instagram.com/waveformpodcast/?hl=en Waveform TikTok: https://www.tiktok.com/@waveformpodcast Hosts: Marques: https://www.threads.net/@mkbhd Andrew: https://www.threads.net/@andrew_manganelli David: https://www.threads.net/@davidimel Adam: https://www.threads.net/@parmesanpapi17 Ellis: https://twitter.com/EllisRovin Join the Discord: https://discord.gg/mkbhd Intro/Outro music by 20syl: https://bit.ly/2S53xlC Waveform is part of the Vox Media Podcast Network. Learn more about your ad choices. Visit podcastchoices.com/adchoices

    6 days ago

    •
    1hr 38min
  • This Startup Secretly Detects Fraud For Fortune 500s

    2 DAYS AGO

    4

    This Startup Secretly Detects Fraud For Fortune 500s

    In this episode of Founder Firesides, YC Managing Partner Jared Friedman talks to Karine Mellata, co-founder of Variance (W23), who is coming out of stealth and announcing their $21 million Series A. Variance builds purpose-built AI agents for risk and compliance — automating fraud detection, content review, and identity verification for Fortune 500 companies and platforms like GoFundMe. They discuss why Variance built in the shadows for three years, detecting state-sponsored fraud rings, and the accident that nearly ended the company.

    2 days ago

    •
    31 min
  • The programming language after Kotlin – with the creator of Kotlin

    12 FEB

    5

    The programming language after Kotlin – with the creator of Kotlin

    Brought to You By: • Statsig — ⁠ The unified platform for flags, analytics, experiments, and more. • Sonar – The makers of SonarQube, the industry standard for automated code review • WorkOS – Everything you need to make your app enterprise ready. — Andrey Breslav is the creator of Kotlin and the founder of CodeSpeak, a new programming language that aims to reduce boilerplate by replacing trivial code with concise, plain-English descriptions. He led Kotlin’s design at JetBrains through its early releases, shaping both the language and its compiler as Kotlin grew into a core part of the Android ecosystem. In this episode, we talk about what it takes to design and evolve a programming language in production. We discuss the influences behind Kotlin, the tradeoffs that shaped it, and why interoperability with Java became so central to its success.  Andrey also explains why he is building CodeSpeak as a response to growing code complexity in an era of LLM agents, and why he believes keeping humans in control of the software development lifecycle will matter even more as AI becomes more capable. — Timestamps (00:00) Intro (01:02) Why Kotlin was created (06:26) Dynamic vs. static languages (09:27) Andrey joins the Kotlin project (14:26) Designing a new language  (19:40) Frontend vs. Backend in language design (21:05) Why is it named Kotlin? (24:37) Kotlin vs. Java tradeoffs (28:32) Null safety  (31:24) Kotlin’s influences  (39:12) Smartcasts  (40:42) Features Kotlin left out (44:54) Bidirectional Java interoperability (55:01) The Kotlin timeline  (58:00) Kotlin’s development process (1:07:20) From Java to Android developers (1:12:12) How Android became Kotlin-first  (1:18:20) CodeSpeak: a language for LLMs (1:24:07) LLMs and new languages (1:28:20) How software engineering is changing with AI (1:36:12) Developer tools of the future  (1:39:00) Andrey’s advice for junior engineers and students  (1:42:32) Rapid fire round — The Pragmatic Engineer deepdives relevant for this episode: • Cross-platform mobile development • How Swift was built – with Chris Lattner, the creator of the language • Building Reddit’s iOS and Android app • Notion: going native on iOS and Android • Is there a drop in native iOS and Android hiring at startups? — Production and marketing by ⁠⁠⁠⁠⁠⁠⁠⁠https://penname.co/⁠⁠⁠⁠⁠⁠⁠⁠. For inquiries about sponsoring the podcast, email podcast@pragmaticengineer.com. Get full access to The Pragmatic Engineer at newsletter.pragmaticengineer.com/subscribe

    12 Feb

    •
    1hr 44min
  • Building WhatsApp with Jean Lee

    18 MAR

    6

    Building WhatsApp with Jean Lee

    Brought to You By: • Statsig — ⁠ The unified platform for flags, analytics, experiments, and more. • Sonar – The makers of SonarQube, the industry standard for automated code review • WorkOS – Everything you need to make your app enterprise ready. — How did a tiny team of 30 engineers build the world-famous messaging app more than a decade ago, and what can dev teams learn from that feat today? Jean Lee was engineer #19 at WhatsApp, joining when the company was still small, with almost no formal processes. She helped it scale to hundreds of millions of users, went through the $19B acquisition by Facebook, and later worked at Meta. In this episode of Pragmatic Engineer, I talk with Jean about what it was like building WhatsApp. When Facebook bought WhatsApp in 2014, only around 30 engineers supported hundreds of millions of users across eight platforms. We discuss how the founders kept things simple, saying “no” to most feature requests for years. Jean explains why WhatsApp chose Erlang for the backend, why the team avoided cross-platform abstractions, and how charging users $1 per year paid everyone’s salaries, while keeping growth intentionally slow. Jean also shares what the Facebook acquisition was like on the inside, how she dealt with sudden personal wealth, and what it was like transitioning from an IC to a manager at Facebook – including the reality of calibration meetings and performance reviews. We also discuss how AI enables smaller engineering teams, and why WhatsApp’s experience suggests ownership and trust might matter more than tools. — Timestamps (00:00) Intro (01:39) Early years in tech (06:18) Becoming engineer #19 at WhatsApp (13:53) WhatsApp’s tech stack (18:09) WhatsApp’s unique ways of working (25:27) Countdown displays and outages (27:07) Why WhatsApp won (28:53) The Facebook acquisition (33:13) Life after acquisition (39:27) Working at Facebook in London (44:07) Transitioning to management (47:27) Performance reviews as a manager (53:29) After Facebook (58:53) AI’s impact on engineering (1:02:34) Jean’s advice to new grads and startups (1:06:45) Empowering employees (1:08:17) Book recommendations — The Pragmatic Engineer deepdives relevant for this episode: • How Meta built Threads • How Big Tech runs tech projects and the curious absence of Scrum • Performance calibrations at tech companies • Software engineers leading projects — Production and marketing by ⁠⁠⁠⁠⁠⁠⁠⁠https://penname.co/⁠⁠⁠⁠⁠⁠⁠⁠. For inquiries about sponsoring the podcast, email podcast@pragmaticengineer.com. Get full access to The Pragmatic Engineer at newsletter.pragmaticengineer.com/subscribe

    18 Mar

    •
    1hr 11min
  • Using JAWS Voice Assistant

    6 DAYS AGO

    7

    Using JAWS Voice Assistant

    Explore the power of Voice Assistant in JAWS and ZoomText—your hands-free way to navigate, control, and interact with your computer using simple spoken commands. In this training, we break down how Voice Assistant works, including wake word activation ("Hey Sharky" or "Hey Zoomy"), keyboard alternatives, and the audible cues that guide each interaction. You'll hear real examples of commands in action—from adjusting speech rate and checking the time, to opening applications and selecting text with precision. We also walk through key features like Keyboard Help for learning shortcuts, Voice Assistant settings for customization, and where to find a complete list of supported commands. Whether you're new to JAWS or looking to streamline your workflow, this session highlights how Voice Assistant can make everyday tasks faster, easier, and more accessible. For additional resources and a full command list, visit Freedom Scientific's training page and explore everything Voice Assistant has to offer.

    6 days ago

    •
    15 min
  • The State of AI Q2: AI's Second Moment

    3 DAYS AGO

    8

    The State of AI Q2: AI's Second Moment

    NLW kicks off Build Week with the AI Daily Brief's first quarterly State of AI report. From the agentic explosion and Claude Code's revenue surge to the SaaS apocalypse and the Pentagon standoff with Anthropic, this is the full picture of the most consequential quarter in AI since ChatGPT launched — and what to watch heading into Q2. Presentation: https://q2.aidbintel.com/ Brought to you by: KPMG – Agentic AI is powering a potential $3 trillion productivity shift, and KPMG’s new paper, Agentic AI Untangled, gives leaders a clear framework to decide whether to build, buy, or borrow—download it at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.kpmg.us/Navigate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Mercury - Modern banking for business and now personal accounts. Learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://mercury.com/personal-banking⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Recall - The API for meeting recording. Get Get started today with $100 in free credits at ⁠⁠⁠⁠⁠https://www.recall.ai/aidb⁠⁠⁠⁠⁠ AIUC-1 - Get your agents certified to communicate trust to enterprise buyers - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.aiuc-1.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score. The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pod.link/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Our Newsletter is BACK: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://aidailybrief.beehiiv.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring the show? sponsors@aidailybrief.ai

    3 days ago

    •
    23 min
  • Building A Global AI Startup From India

    16 MAR

    9

    Building A Global AI Startup From India

    In this episode of The Lightcone, we talk with Mukund and Madhav Jha, the founders of Emergent - an AI platform that lets anyone build and ship production-ready software. In just eight months, users have created more than 7 million apps on Emergent, with the number doubling in just the last 45 days. We discuss how they built one of the most powerful AI coding agents, why they focused on non-technical users and what it's like building in India for a global audience. Apply to Y Combinator: https://www.ycombinator.com/apply Chapters: 00:00 - Intro 01:06 - What Is Emergent? 01:18 - Founder Backstory 02:09 - From AI Testing to General Coding Agents 02:52 - Getting Ahead of the Market 04:18 - The Pivot to Non-Technical Users 05:22 - Why Second Movers Can Win in AI 09:04 - Building for Production, Not Just Prototypes 18:21 - Live Demo: Building Apps with Emergent 24:40 - How Emergent Hires and Runs a Lean Team 29:04 - Is SaaS Dead? The Rise of Personalized Software 34:04 - The Future: Niche Apps, Solo Builders and AI Agency

    16 Mar

    •
    40 min
  • Mitchell Hashimoto’s new way of writing code

    25 FEB

    10

    Mitchell Hashimoto’s new way of writing code

    Brought to You By: • Statsig — ⁠ The unified platform for flags, analytics, experiments, and more. • Sonar – The makers of SonarQube, the industry standard for automated code review • WorkOS – Everything you need to make your app enterprise ready. — How has the day-to-day workflow of Mitchell Hashimoto changed, thanks to AI tools? Mitchell Hashimoto is one of the most influential infrastructure engineers of our time, and is one of the most pragmatic builders I’ve met. He is the co-founder of HashiCorp and creator of Ghostty. In this episode, we talk about how he got into software engineering, the history of HashiCorp, and the challenges of turning widely used open-source tools into a durable business. We also go into what it’s really like to work with AWS, Azure and GCP as a startup. Mitchell shares how he uses AI these days, and how agents have completely changed how he works. We touch on Ghostty, open source, and what’s changing for software engineers and founders in an AI-native era. — Timestamps (00:00) Intro (02:03) Mitchell’s path into software engineering (07:19) The origins of HashiCorp (15:52) Early cloud computing (18:22) The 2010s startup scene in SF (23:11) Funding HashiCorp (25:23) The Hashi stack (32:33) Why HashiCorp’s business lagged behind its technology (35:28) An early failure in commercialization (38:28) The open-core pivot and path to enterprise profitability (48:08) Taking HashiCorp public (51:58) The near VMware acquisition (59:10) Mitchell’s take on all the cloud providers (1:06:02) AI’s impact on open source (1:07:00) Why Mitchell built Ghostty (1:09:11) Why Mitchell used Zig (1:10:38) How terminals work and Ghostty’s approach (1:17:31) AI’s impact on terminals and libghostty (1:19:13) How Mitchell uses AI (1:22:02) Ghostty’s evolving AI use policy (1:28:36) Why open source must change (1:31:46) The problem of Git in monorepos (1:36:22) What needs to change to work effectively with AI (1:39:57) Mitchell’s hiring practices (1:47:52) Mitchell’s AI adoption journey (1:50:41) Advice to would-be founders (1:52:21) Mitchell’s advising work (1:53:20) What’s changing for software engineers (1:55:03) How Mitchell recharges (1:55:50) Book recommendation — The Pragmatic Engineer deepdives relevant for this episode: • AI Engineering in the real world • The AI Engineering stack • Pressure on commercial open source to make more money – and HashiCorp changing its license • How Linux is built with Greg Kroah-Hartman — Production and marketing by ⁠⁠⁠⁠⁠⁠⁠⁠https://penname.co/⁠⁠⁠⁠⁠⁠⁠⁠. For inquiries about sponsoring the podcast, email podcast@pragmaticengineer.com. Get full access to The Pragmatic Engineer at newsletter.pragmaticengineer.com/subscribe

    25 Feb

    •
    1hr 58min

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