[artembugara]

Congrats on the HN Launch!

It's probably the best research agent that uses live search. Are you using Firecrawl, I assume?

We're soon launching a similar tool (CatchALL by NewsCatcher) that does the same thing but on a much larger scale because we already index and pre-process millions of pages daily (news, corporate, government files). We're seeing so much better results compared to parallel.ai for queries like "find all new funding announcements for any kind of public transit in California State, US that took place in the past two weeks"

However, our tool will not perform live searches, so I think we're complementary.

i'd love to chat.

[Poomba]

I like this approach better TBH - more reliable and robust. It probably satisfies 80% of most customer queries too as most want to query against the same sources

[artembugara]

Oh, I totally see your point.

We’re optimising for large enterprises and government customers that we serve, not consumers.

Even the most motivated people, such as OSINT or KYC analysts, can only skim through tens, maybe hundreds of web pages. Our tool goes through 10,000+ pages per minute.

An LLM that has to open each web page to process the context isn’t much better than a human.

A perfect web search experience for LLM would be to get just the answer, aka the valid tokens that can be fully loaded into context with citations.

Many enterprises should leverage AI workflows, not AI agents.

Nice to have // must have. Existing AI implementations are failing because it’s hard to rely on results; therefore, they’re used for nice-to-haves.

Most business departments know precisely what real-world events can impact their operations. Therefore, search is unnecessary; businesses would love to get notifications.

The best search is no search at all. We’re building monitors – a solution that transforms your catchALL query into a real-time updating feed.

[mfkhalil]

Hey, would be happy to chat. Shoot us an email at [e-mail] and we can set up a time.

[artembugara]

done