Comments URL: https://news.ycombinator.com/item?id=48355485

Points: 4

# Comments: 0

Artem and Maksym from NewsCatcher here.

Some of you know us as we started six years ago as two freshly graduated economics students who decided to build the best news API product.

We started NewsCatcher thinking the market for news APIs was so big that we could build a self-serve platform and get millions of $29 users.

Obviously, it was a wrong assumption. We pivoted to serve enterprises and had success with it.

But we are hackers at heart, and we want to serve hackers.

We haven't used our Launch HN yet, so consider this our smoke test.

We're looking for feedback and power users rather than revenue. So, happy to provide enough credits for any HN user who finds CatchAll useful.

CatchAll is built for one thing: retrieving every matching event from the web. The use cases that fit it are ones where missing events have real consequences — funding and M&A monitoring, regulatory and compliance feeds (FDA approvals, SEC filings, policy changes), cybersecurity incident tracking, supply chain signals.

If your pipeline consumes structured records and the answer to your query is "find all of them," that's where it works. It's not the right tool for small, bounded queries that return 5 high-precision results.

The 15-minute job time is a direct consequence of the pipeline depth: analyze, fetch, cluster, validate, extract, deduplicate. You're not getting a ranked list of links; you're getting a verified record set.

Our latest benchmark run: https://newscatcherapi.com/blog-posts/web-search-api-benchma...

Comments URL: https://news.ycombinator.com/item?id=47863906

Points: 7

# Comments: 1

For example, "CEO and CFO appointments at US public companies in the last two weeks" found 142 records [0]

You can also set up monitors to get updates.

[0] https://platform.newscatcherapi.com/catchall/example/gtm--ex...

Another good thing about Mercury is that in case you’re stuck/not being treated fairly, you can just email/publicly mention Immad (CEO) and he’ll reply within minutes and will look into this

Or just my writing style?

In many cases though, you don’t know whether the outcome is correct or not but we just have evals for that.

Our product is a SOTA recall-first web search for complex queries. For example, let’s say your agent needs to find all instances of product launches in the past week.

“Classic” web search would return top results while ours return a full dataset where each row is a unique product (with citations to web pages)

We charge a flat fee per record. So, if we found 100 records, you pay us for 100. Of its 0 then it’s free.

I got this idea from Netflix's founder's book "No Rules Rules" (highly recommend it)

Overall, I think the main idea is: context is what matters, and RFC helps you get your (mine, I'm the founder) vision into people's heads a bit more. Therefore, people can be more autonomous and move on faster.

I'll give a few examples of how they use the tool.

Example 1 -- real estate PE that invests in multi-family residential buildings. Let's say they operate in Texas and want to get notifications about many different events. For example, they need to know about any new public transport infrastructure that will make specific area more accessible -> prices wil go up.

There are hundreds of valid records each month. However, to derive those records, we usually have to sift through tens of thousands of hyper-local news articles.

Example 2 -- Logistics & Supply Chain at F100 Tracking of all the 3rd party providers, any kind of instability in the main regions, disruptions at air and marine ports, political discussions around the regulation that might affect them, etc. There are like 20-50 events, and all of them are multi-lingual at global scale.

thousands of valid records each week, millions of web pages to derive those from.

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.

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.

but I need to understand 20 x 1k token throughput

I assume it just might be too early to know the answer

so, the 20b model.

Can someone explain to me what I would need to do in terms of resources (GPU, I assume) if I want to run 20 concurrent processes, assuming I need 1k tokens/second throughput (on each, so 20 x 1k)

Also, is this model better/comparable for information extraction compared to gpt-4.1-nano, and would it be cheaper to host myself 20b?

I missed my chance to listen to Black Sabbath in 2015 or 2016 during the Rock am Ring because the last day was cancelled.

I'm happy for what Ozzy did in his sixties and seventies, and what a way to go.

And let's not forget, the most likely reason he's been able to get this far with his lifestyle post-80s and 90s is Sharon

You guys rock! Big fan