Show HN: Startups.in: An in-development "global" startup intelligence database | Hacker News Reader

Show HN: Startups.in: An in-development "global" startup intelligence database

startups.in

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Hi HN, I'm building Startups.in, a work-in-progress startup intelligence platform that aggregates global startup profiles with funding, sector, and location data in one place. It's still rough around the edges and in active development, but I wanted to share the public version for feedback.

This started as a personal project because I wanted a clean, searchable dataset of startups across regions without jumping between multiple sources or dealing with noise I didn't want :).

The product is still very much a work in progress, but it's in a usable state and open to feedback.

What it currently does: + Browse startup profiles with funding and basic company metadata + Search and filter by industry, geography, etc. + View simple ecosystem trends

No signup required to try it though you're welcome to sign-up to use watchlists etc.

How I built it: It's backed by a custom crawler (for data I need) and enrichment pipeline using n8n workflows, with a lightweight web UI focused on fast querying and filtering.

What I'm trying to learn from HN: + What data points would make this genuinely useful to you? + Would an API be valuable? + Does the UX get in the way of exploration?

I'm actively iterating on it and happy to discuss further. Thanks.

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>This started as a personal project because I wanted a clean, searchable dataset of startups across regions without jumping between multiple sources or dealing with noise I didn't want :).

I love this idea!

Something like that really needs to be done, and you've stepped up to the plate to begin that journey of putting all of that together!

A list of ALL startups, in one place, would really be great!

One question/caveat though -- how do you determine / how would you determine if a startup is no longer in startup mode?

That is, if the startup has become a big business, if the startup has been acquired, if the startup has failed, etc., etc.?

I guess (if the correct data wasn't present or unavailable or hard to parse, etc.) you could simply take startups off the last after a fixed time period, like maybe 12 months, 24 months, <?> months, ?.

Or, maybe add a retrieval date and source...

Two extra fields for your database... the date when it was spidered/sourced/parsed/found/uploaded/etc, and the source URL (or URL's...).

Then you could keep all of the data for all time... just let your users sort/filter on that retrieval date, for "freshness" of data, relative to their needs...

Anyway, looks great so far!

Great work!

Hey Peter, Thanks! I really appreciate the thoughtful feedback and your time.

> how do you determine / how would you determine if a startup is no longer in startup mode?

It is a challenge as startups transition all the time in different ways - funding rounds, IPOs or the dreaded deadpool - and I'm trying to figure out the best way to represent it. At this time, I'm using a combination of manually vetting, to soliciting public feedback through "edit this profile" button and showcasing the latest state. Rather than deleting entities that are no longer startups, I tag them with statuses like Public, Acquired, Shut Down, etc., and surface that on the profile page. Here is an example, https://startups.in/united-states/airbnb (you can find a badge under the logo and if you scroll down you can see a card that show the exit details).

As can be seen, Airbnb is marked as a "Public Company" with IPO metadata (ticker, exit date, exit value), and still remains in the database as part of the ecosystem rather than disappearing. The current idea is to treat this more like a longitudinal startup graph.

Long-term, I'd like this to behave more like a "historical record" of startups over time (dare say wikpedia for startups but presented differently?), not just a snapshot of "current startups". That way acquisitions, failures, and IPOs become first-class signals instead of reasons to delete data. Thanks again.

>Hey Peter, Thanks! I really appreciate the thoughtful feedback and your time.

I stand by what I said -- it is a really good idea!

>It is a challenge as startups transition all the time in different ways - funding rounds, IPOs or the dreaded deadpool - and I'm trying to figure out the best way to represent it. At this time, I'm using a combination of manually vetting,

I think that it's noble that you'd take it upon yourself to do this task manually, but this task may turn out to be too time-consuming and unsustainable into the future -- you might wish to consider outsourcing it and/or automating it with AI and/or automating it via trusted users who are entrusted to perform those updates... or of course, you could just continue to do it yourself...

>to soliciting public feedback through "edit this profile" button and showcasing the latest state. Rather than deleting entities that are no longer startups, I tag them with statuses like Public, Acquired, Shut Down, etc., and surface that on the profile page.

I think that's a good idea! More information, more transparency, more historical auditability, more information in general!

>Long-term, I'd like this to behave more like a "historical record" of startups over time (dare say wikpedia for startups but presented differently?), not just a snapshot of "current startups". That way acquisitions, failures, and IPOs become first-class signals instead of reasons to delete data.

It sounds like you are well on your way! I fully support that! "Wikipedia for Startups" sounds great, and if I needed to give a VC an elevator pitch of what you do in 60 seconds, or heck, 10 seconds or less, I'd phrase it exactly that way... "Wikipedia for Startups" (sounds great and communicates quickly!) or "Wikipedia for Startups but presented differently" (as you said!) or maybe "Wikipedia for Startups but presented with our own custom enhancements!" (sounds even better and would make the party on the other end ever more curious about it!).

But yes, looks great in general, I saw you're taking job listings (great idea, will help you monetize for the long haul!), and I think you're on a great track! (and of course, the world does very much need a "Wikipedia for Startups", however it is presented! :-) )

(Also, don't forget that Joel Spolsky made million$ when one of his interns added job search to his blog and Stack Overflow -- so the job search is a great way of monetizing and sustaining your vision, long term!)

So, wishing you a lot of luck!

It's brilliant, brilliant, brilliant, I say!

I'm mostly using this as a learning project around data aggregation and enrichment at scale. The biggest open problems so far have been data quality, entity resolution, and keeping things up to date.

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