Podcasts, interviews, and conversations worth my time.
A curated collection of the conversations I listen to around AI, software, products, entrepreneurship, operations and building companies. Not a directory — just the shows and episodes I keep coming back to.
The shows I actively follow.
REWORK
Jason Fried and David Heinemeier Hansson on running 37signals: building Basecamp, staying small on purpose, and doing business without the playbook.
The OpenAI Podcast
Long-form conversations with the people building at OpenAI — research, ChatGPT, Codex, infrastructure and where the industry is heading.
Founder Fridays
Notion's founder series: builders in the trenches on product, design, fundraising and the lessons that never make it onto a slide.
Recent conversations, newest first.
A listener-questions episode. Jason Fried and David Heinemeier Hansson take on whether a small team can genuinely compete with the industry giants, what the wave of AI agents means for the future of SaaS, and whether founders should keep their personal social presence separate from the business.
No prep and no filter: host Kimberly Rhodes fires a fresh round of quick questions at Jason Fried and David Heinemeier Hansson, from recent reads and AI discoveries to memorable customer-service moments and the habits they have started or stopped to make work better.
Why 37signals has been running live product demos and Q&A sessions with real customers since the Basecamp 5 launch. Jason and David explain what makes the format work and why being accessible and unafraid of your customers is an underrated advantage.
Most entrepreneurs spend more time worrying about what could go wrong than finding out. Jason and David walk through how 37signals approaches experiments, why lowering the stakes on most decisions makes them better, and how letting go of outcomes is both a discipline and a strategy.
Getting a customer through the door is one thing; making sure they understand the product is another. Jason and David break down how and why they redesigned onboarding for the latest Basecamp, why onboarding is so easy to neglect, and what it looks like when founders stay close to that first impression.
Racing runs on tiny margins and mountains of data. OpenAI researcher Joyce Ruffell and RaceTek Systems co-founder Chase Holden discuss OpenAI's research collaboration with Chip Ganassi Racing, how Chase used ChatGPT and Codex to go from hosting a NASCAR podcast to building a racing-intelligence company, and how AI could give smaller teams an edge without replacing the people behind the wheel.
Customer feedback is valuable, but not all of it deserves a place on the to-do list. Revisiting a chapter from REWORK, Jason and David share how 37signals filters feedback, why roadmaps can do more harm than good, and what happens when fear starts driving product decisions.
AI did not just speed up the development of Basecamp 5; it changed how it was built. Jason and David get specific about how much of the product AI actually wrote, where it shines, where it falls short, and how 37signals had to adjust its process to keep the codebase clean.
Basecamp 5 is out. Jason Fried and David Heinemeier Hansson sit down with host Kimberly Rhodes to go through the details of the launch and the big decisions behind it: what went smoothly, what only a live rollout could reveal, and how existing customers responded.
The old tests are getting too easy. Tejal Patwardhan, who leads OpenAI's frontier evals team, talks with host Andrew Mayne about why evals matter for research, how benchmarks break or get gamed, and what models should be judged on next as they keep getting more capable.
Ada co-founder David Hariri joins Notion's Nancy Chen to trace the road from a failed social network to an AI-native customer-experience unicorn: pivoting with conviction, why respecting history makes better software, why giving customers sandboxes beats selling them visions, and why founders who go all-in on care tend to win.
Reasoning researchers Alexander Wei, Hongxun Wu and Lijie Chen explain how a general-purpose model helped disprove an 80-year-old conjecture from Paul Erdős: the moment the result started to look real, what it took to verify the proof, and what it means for how researchers will work with AI.
Pally co-founder and CEO Haz Hubble talks with Notion's Ghalia Alami about getting into YC after five rejections, raising a round by deliberately engineering FOMO, and building a company around the belief that human connection is the most important problem worth solving.
People generate more than 1.5 billion images a week in ChatGPT. Product lead Adele Li and researcher Kenji Hata trace the path from the early DALL·E days to Images 2.0, covering text rendering, photorealism, multilingual support, character consistency, and where image models go as creative assistants.
With Basecamp 5 approaching, Jason and David describe what happens inside 37signals when the company enters launch mode: priorities shift, routine operations give way to launch work, and lower-priority tasks get parked so the team can make meaningful progress. They also share their favourite parts of the new version.
Contra co-founder and CEO Ben Huffman explains to Notion's Nancy Chen why he gave up the most common revenue stream in marketplaces, how a creative-first brand carried the company through two years of product growing pains, and what outsider founders should know about breaking into tech without a pedigree.
Training frontier models is not just a matter of adding GPUs; one small fault can break the whole coordinated dance. Mark Handley and Greg Steinbrecher explain the new network design behind OpenAI's latest training runs and Multipath Reliable Connection, a protocol developed with AMD, Broadcom, Intel, Microsoft and Nvidia and opened up to the industry.
Researchers Sébastien Bubeck and Ernest Ryu join Andrew Mayne to explain what changed in AI's mathematical ability and what it could mean for research, including how Ernest used ChatGPT to help solve a 42-year-old open problem and the difference between deep literature search and genuine discovery.
Paraform co-founder and CEO John Kim joins Notion's Kyle Atkinson to unpack how expert recruiters and AI agents are teaming up on hiring, why the team dogfoods its own platform for most of its hires, and which part of recruiting AI still cannot replicate, on the way to $65M raised and over a thousand customers.
Research lead Joy Jiao and product lead Yunyun Wang discuss what it takes to build AI that actually helps scientists: how OpenAI is developing models for life sciences, what responsible deployment means when biosecurity is at stake, and where this leads in drug discovery and more autonomous labs.
Browse the site
Home
about
story
work
expertise
ai
ai ai product development
ai ai agents
ai ai automation
ai ai consulting
ai arabic ai products
ai kuwait
toolkit web
toolkit claude
toolkit lovable
toolkit notion
toolkit webflow
toolkit shopify
toolkit wordpress
toolkit ai solutions
services
services business strategy
services growth planning
tools
blog
listening
stack
contact
quote
privacy
terms