built @webhoundAI, prev @stanford @NIH @MPIbp
Joined February 2026
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(1/2) When building quicklime (content market fit data for film/tv) a recurring thought was that as creation gets easier / cheaper, stories don’t have to find as large of an audience to be financially feasible.
Turn your viral game idea into $100,000.
Introducing the Astrocade Creator Competition.
- Three weeks. 25 creators.
- Build the most viral content.
- One winner takes the full $100K.
Applications close 11/20.
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Re-reading Mark Weiser in the age of “proactive agents” feels like we’ve gotten 30 years older and none the Weiser.
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I can attest to this. He was on my couch.
When I was building Webhound, I'd spend hours a day manually clicking through supabase rows to see if it was behaving as expected.
Since joining LiteLLM Al Gateway, I've spoken to other developers building agents on top of our gateway and surprisingly, they're all doing the same thing.
LiteLLM Lens solves that problem. Hyped to be working on it.
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first time I’ve posted a video without ever opening an editor. All overlays etc made with codex. Also try webhound. It’s good.
Agents are lazy at research. They stop at the first confident answer, even when more research could change it.
Webhound is your agent’s research engine. You use budget to decide how much research a question deserves.
We gave it $5 to investigate a border wall contract. It found an unreported $18M change.
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Theo retweeted
Agents are lazy at research. They stop at the first confident answer, even when more research could change it.
Webhound is your agent’s research engine. You use budget to decide how much research a question deserves.
We gave it $5 to investigate a border wall contract. It found an unreported $18M change.
Theo retweeted
Day 4 in SF and the conversations keep getting better!
AM: got breakfast with @seanthorneai, ex-CEO of @PeopleDataLabs, now building @agentscoretrust. Talked hiring people who are "n" of 1, watching competition without obsessing over it, and how to think about angel investors
PM: hung out with the boys at @WebhoundAI - @TheoDevSchmidt and @Mokhalil01 (no pic of Mo, but go check his Substack, he's been posting great stuff). Keep your eyes out for what they're cooking up soon and if you're ever in SF and need a rotisserie chicken or a long-running research agent hit them up
Racing to beat the sunset
We asked 50 top investors what they expect founders to know about their space, then distilled the answers into the Founder Stack.
10 reports backed by ~15 continuous hours of research that go deeper on your market, customers, competitors, wedge, upside, and the case against you than anything else out there.
If you don't learn something new, you get your money back.
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Theo retweeted
As a “business guy” I’m slightly embarrassed to share what I’ve been vibe coding. I’ve built a pipeline for doing deep research on San Francisco public policy issues using Manus, Webhound.ai, and Dropbox. When I share I hope you all will have a ton of useful advice (instead of flaming me).
A lot of people asking "why webhound?"
As one of the founders here's why imo
Theo retweeted
My new deep research setup: Manus to create research prompts / exec summaries, Webhound to run$100 deep research reports (Manus uses the Webhound API), Dropbox to store all the research reports (Manus saves/ organizes reports using the Dropbox API)
Theo retweeted
I always wanted an AI deep research product with the following characteristics:
1. I set the price and it runs for as long as I'm willing to pay
2. Ability to produce reports or structured data
3. Great data validation
I think I might have found what I'm looking for:
webhound.ai/