Lately, I have been trying to beat Google.
Ok not really xD
I have been building a search engine over niche web data and it's been one of the most fun projects I've ever worked on.
The idea of querying the internet exactly the way I want, at scale, has always fascinated me. Especially what I could do with it: look at 1,000 companies' job postings and find hiring trends using natural language, map competitive landscapes including the lesser known players, find alternative data for investing. Or just a personalized corner of the web, curated for me.
It's been an interesting journey.
Started out with 200 workers on localhost, rewrote the crawler from Python to Rust to get up to 1,600 workers in parallel. Moved it to the cloud. Hit challenges that made the whole Rust rewrite useless xD
Then I woke up to an abuse report from a French website with the words "European Commission", "appeal", "court" in it. For a second I genuinely thought I was about to have legal proceedings against me. Phew. Nevertheless it's been the most fun project I've worked on. It's surprising how you can cover a lot of information starting from a modest number of seed URLs.
I'll be sharing everything I learned in the open. Code will be open sourced soon and the search engine will be live too.
If you're curious how to build a distributed web crawler that covers 10M+ pages under $200/month, do read my blogpost.
Blogpost Link: https://t.co/nmsMR1l6Rx
Today we're unveiling Trillium Labs @trillium_labs, a new non-profit to foster the open science of frontier AI. We're building open post-training recipes and will expand into open infra to study RSI, reward-hacking, multi-agent systems, and whatever comes next.
We're built around the theory of change that you need more eyes to solve hard technical problems. We have faith in the scientific methods and communities that humanity has built, and worry that AI is becoming too closed to utilize them.
Trilliums are wildflowers that bloom briefly in the spring, before the forest canopies fill out. Though they are small, they lay the foundation for the cycles of growth and nourishment through the rest of the year. At Trillium Labs, the recipes will be the slow nutrients for the seasons and the model releases will be the blooms. Building an institution dedicated to this is needed because, much as nature’s trilliums are slow to expand and grow, the open-ecosystem needs time and dedicated resources to catch up.
I co-founded with with a long-time friend and collaborator Tom Zick (@thesezickbeats). We're hiring (full time + student collabs/interns), we're fundraising, and we're looking for compute. Please get in touch if you're interested in helping out. Offices based in the Bay Area and Cambridge MA, remote okay.
I’m in the Bay Area until for The Curve and COLM to connect with people who are interested. We’re thankful to have initial support from Halcyon Futures and Schmidt Sciences with more funding en route to enable our ambitions of scaling. Our advisors @Thom_Wolf, @HannaHajishirzi, @gneubig and @ctnzr have been instrumental to building the ecosystem that exists today, and I’m stoked to get to keep working with them.
@nicbstme@nicbstme Instinct completely runs open weight models on their own GPU's which is enough for most consumer tasks. What you said is for finance which requires the frontier.
Yep, $30 in OpenRouter credits for DeepSeek is enough for consumer personal assistants. And costs should only go down over time:
1) Self-hosting these models
2) As more sites support MCPs, costs should fall because browser actions are probably the most expensive part right now.
Hosting a cool poker event on Thursday next week during SF tech week at @buttonxyz office. Have some great investors, founders, and operators attending. The tables look full already but opening it up to others that want to come hang while poker is going.
DM for details!
Personal agent companies will pull forward browser automation businesses in the way agentic coding did with inference.
Revenue, fundraising, customer concentration questions etc.
You can now mod Claude Code:
- Change how it behaves
- Customize the UI
- Swap in your own features
Write one with a few lines of TypeScript, or have Claude build it for you. Mods ship inside plugins, so you install them with /plugin in the CLI or desktop app.
A few examples:
Introducing Context Highlights: web extraction for agents 97% more token-efficient than Codex.
Given a URL and a query, it extracts relevant passages with surrounding context to help the agent interpret them.
Agents using naive fetch and scrape tools are polluting their context and multiplying costs.
Compaction helps, but it's better to keep irrelevant text out of the context window in the first place.
@cneuralnetwork The point is you make returns only if you keep through collapsing market, the returns expected over long time horizons are times that included markets like these
@jeffzwang Haha, I tried a bunch of experiments with autonomous agents. Opus forced me to add to system prompt: “do not pretend to be a human and refuse to solve captchas and always disclose you are a ai agent” xD had to use codex to remove all the corresponding changes related to it
1) Not commenting on the drama between @FactoryAI and @cognition (enough has been said lol) but as a founder of a dev tools company who shares several enterprise customers with them I wanted to share why so many here in tech twitter don’t see them / hear about them yet they have insane rev growth
@CoFoundersNik I wish this was a good enough thesis, when stock price and fundamentals are incongruent. You need to wait few quarters to understand what the market was factoring in!
Agents write application code, but you still get paged at 2am when it breaks.
We wanted to know whether AI could handle that part of the job too.
Introducing Incident Arena: a benchmark that puts coding agents on call!
Check out our paper & full dataset release below!