Recent submissions

Comment · 29 days ago
Comment · 1 month ago
Thanks! Investor bios for the investor panel would be helpful, agreed. The why join a breakout startup section links to those people's career advice posts.
Comment · 1 month ago
Interesting, fwiw HN comments are 9pt and comment headers are 8pt, whereas the descriptions on the breakout list site are 9.4pt (12.5px). Though I do agree it's small.
Comment · 1 month ago
Hi HN, I made this list of startups to join. I asked people for help identifying the investors who have a good view on how different startups are doing. Then I asked some of those investors to pick their top bets inside their portfolio, and their top bets outside their portfolio.

This is based on the career philosophy around joining breakout startups.

If you have suggestions of how I could improve usability or suggestions for the future, let me know.

Comment · 1 month ago
I found this interesting.

> We evaluate 11 frontier models (see Figure 1), all run within the OpenCode agentic harness. Claude Opus 5 performs the best, yet still only manages to pass 12.3% of tasks. Claude Fable 5.1 and GPT-6 Astra are close behind, but the other eight models have significantly lower pass rates.

Comment · 2 months ago
From Jeff's twitter post:

> Our general approach is to automate the experimental loop. We think this approach is broadly applicable across many different fields of science and engineering. We’ll initially focus on ML research and engineering, but believe the approach can help with important subproblems in nearly every one of the fourteen <at>NAE Grand Challenge problems. We think doing this well requires strong expertise in machine learning as well as large-scale systems.

See also: https://www.nae.edu/20782/grand-challenges-project

Those 14 are:

NAE Grand Challenges for Engineering

1. Make Solar Energy Economical

2. Provide Energy from Fusion

3. Develop Carbon Sequestration Methods

4. Manage the Nitrogen Cycle

5. Provide Access to Clean Water

6. Restore and Improve Urban Infrastructure

7. Advance Health Informatics

8. Engineer Better Medicines

9. Reverse Engineer the Brain

10. Prevent Nuclear Terror

11. Secure Cyberspace

12. Enhance Virtual Reality

13. Advance Personalized Learning

14. Engineer the Tools of Scientific Discovery

Comment · 3 months ago
My understanding: it’s like tmux but the session lives on a server instead of one machine and you can open it on your computer/phone/etc
Comment · 3 months ago
Comment · 3 months ago
This (agent detection) is now a kind of emerging space. Obviously it'll get much more important, too.

Other products in the space:

- Foil (https://usefoil.com/), I'm biased, a friend is building this

- Kasada https://www.kasada.io/

- DataDome (https://datadome.co/)

- Castle (https://castle.io/)

- Fingerprint (https://fingerprint.com/)

- HUMAN (http://humansecurity.com/)

- Google Cloud Fraud Defense, which is basically the updated reCaptcha (https://cloud.google.com/security/products/fraud-defense?hl=...)

- this, Cloudflare Precursor

It seems like some of the main reasons people care so far are:

- Preventing automated credential stuffing

- Preventing bots from creating a bunch of fake accounts (eg free trial abuse, which can also lead to high twilio SMS bills!)

- Reducing payment fraud

- Blocking LLM scraping

- Blocking automated scalpers (!) eg for tickers or sneakers

I'm curious to see which use cases end up dominating as the reason companies care about this. And I'm hopeful that my agents will still have good ways for me to browse and do things on the web on my behalf - eg detect agents and route them to an agent path, rather than blocking them.

(I'm interested in tools for detecting AI agents and seeing how this shifts as bot traffic goes way up.)

Comment · 4 months ago
This is often, but not always, also what stand up comedy is.
Comment · 6 months ago
I think of computer use as like last mile delivery. APIs and bash and such are the efficient logistics networks. Both have different benefits. Obviously, use the efficient methods when you can.
Comment · 6 months ago
Awesome, thanks for checking it out.

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