AI Builders
People who build with AI: practitioners writing and talking about applied AI engineering, agents, prompt and context engineering, and AI product craft.
Things people say on these podcasts →
We index newsletters and podcasts — where named humans still talk to real audiences, and the one part of the media your monitoring tool can't see — and make them searchable by your AI agent. This page is one market's worth of that corpus.
- Sources
- 62
- Posts and episodes
- 10,415
- Podcasts
- 21
- Newsletters
- 37
- Latest post
- 21 hours ago
Things people say here — from the shows in this collection
All quotes →
Who publishes here — active in the last 90 days
Jon Krohn
1,041 posts
Host of the Super Data Science podcast on machine learning and AI, co-founder of Y Carrot and a Fellow at Ligh...
Simon Willison
946 posts
Open source developer and writer, co-creator of the Django web framework and creator of Datasette, who writes...
Sam Charrington
796 posts
Machine learning and AI industry analyst and advisor, and founder of TWIML, whose research covers enterprise A...
Ken Huang
402 posts
CEO and Chief AI Officer of DistributedApps.ai, a generative AI training and consulting firm, and adjunct prof...
Daniel Whitenack
347 posts
Daniel Whitenack (aka Data Dan) is a Ph.D. trained data scientist and founder of Prediction Guard. He has 10+...
Prof. Tom Yeh
346 posts
Associate Professor of Computer Science
Chris Benson
342 posts
Co-host of Practical AI, a podcast on artificial intelligence, machine learning and data science, and founder...
Gencay
283 posts
The fastest way to learn AI is to build something before you feel ready. Ideas don't compound; things you buil...
Miguel Otero Pedrido
269 posts
ML / AI Engineer | Founder @ The Neural Maze - Just a guy who builds AI Systems that actually work
Lee Veo
261 posts
Creator of AI tutorials and workflows for making images, video and other content, built around prompts, custom...
Elena | AI Product Leader
240 posts
AI Product Manager turned builder. Founder of DraftKit.app, AIAdventChallenge.com. I stopped asking for permis...
David Andrés
229 posts
💼 Senior AI Engineer / Data Scientist • 🐍 Python enthusiast
Ranked by how many posts and episodes each person is credited on across this collection — writers by byline, hosts and guests from the transcript. These are the names to pitch, book, or watch.
What they're talking about — in each source's latest posts
Who advertises here — active in the last 90 days
Brands read out in ad slots and sponsor mentions in these newsletters and episodes. This is the view that answers "where is my competition advertising?" — no other monitoring tool can see inside a podcast ad read.
More things people say here
- “In no other business area, Paul, is anybody asking you, do you need a chair to do your work?” Allison Fine, The Aboard Podcast
- “We don't have a single Rust developer in the room. … The two things that mattered most were the plan to do the thing and then the verification of the thing, bec...” Angela Jiang, Latent Space
- “If the thing you fell in love with about engineering was this artisanal handwritten code portion of the job, and that's the thing that you yearn for, I got to b...” Wade Foster, Beyond The Prompt - How to use AI in your company
- “I set up my 15, what I call the faceless toaster bots. I set up my email bot and then my CEO bot to manage them. I'm like, you're just larping as a CEO. You're...” Daniel Jeffries, The TWIML AI Podcast
- “I feel like in a way, because of the training data and the training loops, there's more incumbency power. There's more staying power in software today. If you g...” Erik Bernhardsson, Unsupervised Learning with Jacob Effron
- “I thought it would be the junior people that would adopt agents the most. I've actually seen almost the other way around. It's the very senior people, because f...” Erik Bernhardsson, Unsupervised Learning with Jacob Effron
- “I went to GTC earlier this year in San Jose, the NVIDIA big conference. And it was like an open-air drug market, but like GPUs. You're just walking around, talk...” Erik Bernhardsson, Unsupervised Learning with Jacob Effron
- “The AI industry as a whole is bitter lesson pilled. And I am human-pilled. … I find it rather disturbing that the AI community is not spending more time saying,...” Tim O'Reilly, MLOps.community
- “A visual designer turned out to be one of our best prototypers. An animator turned out to be one of our best prototypers. And what it seems like is these people...” Blair Metcalf, How I AI
- “People see their skills and expertise as a territory to be defended. … What I'm going to say to that person is: see your skills and expertise as a body of knowl...” Paul Ford, The Aboard Podcast
- “Everybody keeps acting like it's akin to nuclear explosions. It's actually more like environmental pollution.” Paul Ford, The Aboard Podcast
- “Because of agent training data, it's very hard to deprecate things now. We see that agents often love using old versions of Modal syntax. And it's kind of hard...” Erik Bernhardsson, Latent Space
- “My view is code reviews in large part is people in many cases trying to just escape the accountability of merging things into production. And if you have that c...” Erik Bernhardsson, Latent Space
- “Coding is a perfect environment because it's simulatable and verifiable. And anything that has those two properties, AI will get to superhuman capabilities in....” Richard Socher, Super Data Science: ML & AI Podcast with Jon Krohn
- “Right now, if you took a B300 and you tried to run inference on it, you can make $40 an hour or so selling any model, basically. And so that's if you use it at...” Evan Conrad, Latent Space
- “Everybody's trying to build the software factory. They all want to build some sort of a tool that they can sell to everybody and it's just going to work. But ev...” Ed Grosvenor, Artisan Beer
- “You cannot create a SaaS like Nightwatch without having people pay per event. … Small businesses have websites up where there's not necessarily a strong correla...” Ed Grosvenor, Artisan Beer
- “It's not so much a matter of saving money. It's a matter of I don't want to have my tools interrupt my workflow. … The moment Claude comes back and says, I can'...” Ed Grosvenor, Artisan Beer
- “We really think that it's learning a lot of sociology. It's not learning ground truth. It's just learning the choices and the fingerprints of the people who are...” Ian Quigley, Latent Space
- “Today, there's a lot of robotics companies that's talking about deployments, talking about pilots. But what's really hard is not putting your robot in one locat...” Jason Ma, Latent Space
- “For coding agents, language model, it's okay if it has latency, right? … But for robots, the inference latency has to be very short. The robot needs to act. You...” Jason Ma, Latent Space
- “I got a text actually from my mom like this morning, which is really funny. She said that she has apologized to her Muse for making him work so hard and thanked...” Alex Cornell, How I AI
- “A lot of what I see in what I would consider slop is that someone's making three really good points and then there will be a section in the document called what...” Carly Taylor, Super Data Science: ML & AI Podcast with Jon Krohn
- “I say proteins are the building blocks all the time, but actually, I don't believe in it. Proteins are extremely complex. They are disordered. Their shape might...” Pushmeet Kohli, Latent Space
Where these numbers come from
- Sources are hand-picked by us for this market. Post and episode counts are everything we have indexed for them, back to whatever archive the source publishes.
- People and advertisers are everyone credited or heard on these sources in the last 90 days, ranked by every post they have appeared on here. Topics come from the 10 newest posts of each source, so every source counts equally.
- A person is counted once per post, whether they wrote it, hosted it, or appeared on it as a guest. Podcast credits come from the transcript.
- Everything on this page is a live query against the corpus.
