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Karpathy's "autoresearch" broke the internet

2026-03-11 People & Blogs
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Greg Isenberg
Greg Isenberg
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Description

I break down Andrej Karpathy's new open-source project, Autoresearch: what it is, how it works, and why some of the smartest people in tech are losing their minds over it. I walk through 10 concrete business ideas you can build on top of Autoresearch loops, from niche agent-in-a-box products to always-on A/B testing agencies. I also cover Karpathy's companion launch, Agent Hub, share community reactions, and show you step by step how to get started using Claude Code and a Colab GPU. I'm hosting a free workshop so you can build your business in the age of AI. Sign up here: https://startup-ideas-pod.link/build-with-ai-2026 Links Mentioned: Autoresearch Github: https://startup-ideas-pod.link/autoresearch Timestamps 00:00 – Intro 00:45 – How Autoresearch Actually Works 02:40 – Visual Walkthrough of the Autoresearch Loop 03:37 – Mental Model: Your Research Bot That Runs While You Sleep 05:26 – Idea 1: Niche Agent-in-a-Box Products 06:48 – Idea 2: A/B Testing for Marketing (Landing Pages & Ads) 08:45 – Idea 3: Research as a Service 09:43 – Idea 4: Power Tool Inside Your Own SaaS 10:49 – Idea 5: Agency That Runs 100× More Tests 12:05 – Idea 6: Auto Quant for Trading Ideas 13:44 – Idea 7: Always-On Lead Qualification & Follow-Up 14:21 – Idea 8: Finance Ops Autopilot for Businesses 15:09 – Idea 9: Internal Productivity Lab for Your Org 15:53 – Idea 10: Done-for-You Research & Due Diligence Shop 16:41 – Non business use cases 18:27 – Karpathy's Agent Hub Announcement 19:50 – How to Get Started with Autoresearch 22:21 – Final Thoughts Key Points * Autoresearch is an open-source AI agent that sets a goal, runs experiments in a loop on a GPU, keeps the winners, and discards the rest — all while you sleep. * You need an NVIDIA GPU to run it (tested on H100), but you can rent one cheaply through Lambda Labs, Vast AI, RunPod, Google Cloud, or Google Colab. * The fastest way to get started is to use Claude Code to walk you through installation, then run it on Google Colab with a T4 GPU runtime. * Ten business ideas built on Autoresearch span niches like SaaS optimization, A/B testing agencies, trading backtests, CRM lead scoring, and done-for-you due diligence. * Karpathy also launched Agent Hub — essentially a GitHub designed for agent swarms to collaborate on the same codebase. * The project already has 25,000+ GitHub stars and is growing fast; early movers who tinker now build an unfair advantage. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/ LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

Top Comments (10)

@user-v4d4d 2026-03-14

Great ideas in this video! One clarification though — the NVIDIA GPU requirement only applies to Karpathy's original autoresearch repo, which trains a small neural network from scratch. That's an ML research tool. For all the business use cases you described (email optimization, landing pages, ad creatives, lead scoring, etc.), you don't actually need a GPU at all. Those use the autoresearch pattern — the iterative loop of hypothesis → test → measure → keep/discard — but the "intelligence" comes from calling Claude or GPT via API, not from training a model. You just need: (1) an LLM API key, (2) an API for whatever platform you're optimizing (Instantly, Shopify, etc.), and (3) a scheduler like GitHub Actions or cron. The first video guy (cold email optimizer) actually built this and runs it entirely on GitHub Actions — no GPU anywhere in the stack. So your audience on MacBooks can absolutely do all 10 of your business ideas without renting cloud GPUs. Just wanted to clear that up since it might be holding people back from trying it!

23 1 replies
@spacetimepotato 2026-03-11

I think I have to watch this 2 or 3 more times to fully understand the scope and impact...brain exploding

15 3 replies
@dannyquiroz5777 2026-03-12

The video starts and ends at 2:58

13 3 replies
@SDWubz 2026-03-11

loving the solo sessions!

13
@GregIsenberg 2026-03-11

looking forward to hearing your thoughts about this episode, next episodes, any question you have for me below! hey everyone!

12 2 replies
@Alf-Dee 2026-03-12

Awesome episode! Please expand on it and show us your experiments!

1
@rinocheng 2026-03-13

Greg I'm curious how you actually got so many good ideas in this video. What did you do to get those ideas? Is it really from your own experience and thoughts or it's a mix from AI or fully from AI?

1
@tonyharion 2026-03-12

Very cool, Greg! Thank you! I have been wondering if you have been doing any cool new stuff with Coda. Keep us posted about too... Cheers!

0 1 replies
@Fester05-u2 2026-03-13

Hey Greg, I enjoyed this video of you tell us what's up. I think mixing up your video with you doing these types of topics solo with your guest is a great format! Thanks for all you do on keeping us educated!

0
@jldyment 2026-03-20

First time watching. Good job. Q: How much is it to rent a GPU? Maybe consider doing an episode walking through the actual setting up a looped research project. I have a research idea that I could share on mapping the entire supply chain of critical minerals and rare earth elements, if you wanted to experiment with it. We would simply have to agree on a few things before I shared my IP as I don't want to give it away to the world obviously until I've built it out. Just waiting for the right moment and this could be it. :)

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