Riveter is now available as an official Plugin in ChatGPT and Codex! You can create datasets, custom enrichments extraction plans, and more directly from your chat. Give it a try... It's amazing how easy it makes pulling web data, images, and creating for datasets.

It's @ycombinator Demo Day for Summer 2026! I've updated my tracker with: revenue, top founders, and downloads with all the companies and founders. Some highlights about this batch below 👇

I've grown our AI Visibility against competitors from 0% to 18% in less than a month. After we redid our website, some SEO/AEO mistakes absolutely tanked our AI Visibility. Just a few weeks into my efforts here, we're beating Exa and Parallel 🤪

We were on the front page of The Wall Street Journal this weekend ✨

Want to know what software your target market pays for? What tools your competitors use? @riveterhq does that. Just describe a cohort, and Riveter builds the dataset live off the web. It grabs names, URLs, and the tools each one actually uses. If you can put a company in a list, Riveter can tell you what it runs on.

Quick launch - Configured Datasets -> With @riveterhq you can kick off a sea of deep research tasks that build datasets in parallel.

Launching Riveter's Extractor today. Turn any website, query, or cluster of sites into a live API. Give it a starting URL a prompt, an output structure, and get a callable endpoint. It plans in minutes and runs in seconds. If it's on the web, @riveterhq turns it into an endpoint.

YC Spring 2026 Demo Day is here. ...and the revenue is like nothing we've seen before. • Tasklet — $5M ARR • Gojiberry AI — $1.4M ARR • Kinro — $1M ARR • Plena Health — $1M ARR 32 companies have already disclosed revenue. 👇

The internet is the greatest dataset ever created. Today, we're launching the Riveter Dataset Builder to make it possible for anyone to get custom, fresh data from a prompt.

Reverse engineer websites; grab full indexed items with @riveterhq -

How to do corporate research and build lists on @riveterhq :)

What if you could generate a list that's cheaper and better than Exa's websets... ...and all you had to do was write a prompt.

YC W26 Demo Day is here! 🟧 I put together a free page with everything you need to know about the companies and founders: - 14 companies that have already shared revenue - 24 flagged with top founder signals - press that's landed before they've even presented

I made a free web app that tracks @ycombinator companies. It updates when: - A new company is listed to YC’s website - A company does a launch post - A company changes their name or tagline/one-liner You can even download the full list of all the companies YC has ever funded.

I built a basketball app by using web scraping to collect stats, establish rank, collect player information, and monitor for changes. It took MINUTES to get the data configured and structured so the app could pull it via API.

If you’re thinking about applying to YC, just do it. We decided to start working on our idea 3 days before YC announced their first ever Fall batch, applied 3 weeks later, got in about a week after that.

Riveter is 4x faster than Parallel. And structured outputs allow you to scrape the web and ingest data like any other data API. With just a prompt, agents are able to search, scrape, read images & PDFs, and return results as structured outputs.

Rails is incredible for AI to write code, and if there's anything that falls short in the ruby ecosystem you can just call out to microservices. @riveterhq is a rails app and processes up to tens of millions of agent runs a week 😉