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.
With Riveter, you can build a custom list of anything you want.
For example, grab all the speakers at the HumanX conference.
Then you can enrich with their title, company, bio, LinkedIn profile data, and even grab their contact info.
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 😉
Excited to announce our partnership with @riveterhq
Riveter searches the internet and returns ready-to-use results. Their agents manage web search, scraping, browser infrastructure, and proxies for you.
Now available to AI agents through Orthogonal via one MCP or SDK.
a16z @speedrun gives new startups up to $1M
👇 Here's a list of all 180 startups to graduate so far, with amount raised, founder backgrounds, and more.
Reply "a16z" and I'll DM you the list!
Made in minutes with @riveterhq
Riveter is 4x faster than Parallel.
And structured outputs allow you to scrape the web and ingest data like any other data API.
@riveterhq is Lovable for web scraping. With just a prompt, agents are able to search, scrape, read images & PDFs, and return results as structured outputs.
Start your new year off with glee!
Skip the vendor and engineering mess of searching, scraping, and managing browsers.
Build your custom web data API with @riveterhq