Describe your problem in plain English. ychasit searches 4,000+ active YC companies and finds the startups that solve it, with reasoning, pricing, and integrations. 100% Free forever. No login. No signup.
There are 4,000+ active YC companies. Most of them are invisible to the people who need them most. The one that solves your exact problem is probably in there somewhere, and today the only way to find it is scrolling a directory sorted by batch.
ychasit finds it for you: • Describe your problem in plain English ("my sales team wastes hours copying data between tools") • It searches all 4,000+ companies and returns the 1-3 that actually fit • Each one comes with reasoning, pricing, and integrations • Completely free. No login, no signup, no limits.
Throw anything at it. Blunt queries, competitor searches, vague rants about your workflow. If you get a bad result, paste the query below and I'll trace it.
I built this because I think it's a genuinely useful addition to the YC ecosystem. It sends people straight to the companies solving their problem, which is good for the founders and good for whoever's searching.
@raghav2 I'm curious how you handle startups that have pivoted a few times?
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@raghav2 Fun angle on the 'is my idea taken' anxiety. From the operator side, knowing a YC company solves my problem is step one; the real question is buy it or build around it. Does it surface how mature or funded the match is?
Raghav, the premise rests on the user stating the real problem, and that is the part I would stress.
I ran 50 customer interviews for my company. Almost everyone named the same pain out loud, clinical notes, but the budget was sitting somewhere else entirely, insurance reimbursement. If I had typed my stated problem into this, it would have confidently routed me to a notes tool and missed where I would actually spend. The match can be perfect and still point at the wrong category, because the weak link is the self-diagnosis, not the search.
So the question: does it only solve the literal problem I type, or can it surface the adjacent one, the "people who ask for X usually end up needing Y"? A tool that gently widens a misdiagnosed query is worth far more than one that nails a well-phrased one.
@clemente_lopez1 Amazing question Clemente. Currently, it answers only the direct query. I would love to consider this for V2.
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Hi. Since you're inviting people to test it, here's a real one: "tool that helps detect fake or bot generated reviews for small businesses." That's a genuine problem I deal with in the reputation management space, phrased the way an actual founder would type it, not a clean textbook query. Curious what it surfaces, since fake review detection is a narrower niche than most CRM or outbound tooling and I'd guess far fewer YC companies actually target it directly, which is a good stress test for whether the tool says "nothing fits" honestly versus stretching a loose match to force a result.
Also, on the rewritten from marketing speak into plain language piece, who owns catching it when a company pivots or shuts down. A YC directory of 4,000 plus companies has real churn, and stale plain language descriptions for a company that quietly changed its product would be worse than no description at all, since it would confidently point someone toward something that no longer exists.
@thys_beesman Ran it. Got Sapling.ai (W19) and Reality Defender (W22), both scored as strong matches at 94% and 93%.
They detect AI-generated text, which is adjacent to fake review detection but not the same problem. Plenty of fake reviews are human-written, and neither plugs into Google or Yelp review flows. Reality Defender is also 54 people with enterprise contact-sales pricing, so not a small-business answer.
So it found the nearest real thing instead of inventing something absurd, but it should have said "nothing targets this directly, here's the closest neighbor" rather than 94%. That confidence gap is the fair catch, and I'm reworking how the scoring bands express it.
On churn, that's the other real weak spot. The company list refreshes from a source that drops dead and acquired startups, but a quiet pivot leaves a stale description behind, and a confident wrong answer is worse than none. Right now thumbs-downs and results that get shown but never clicked flag which companies need rewriting. A periodic full refresh is the honest long-term fix.
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if two yc companies solve this differently, like enterprise vs solo founder, does it explain that or just pick one.
@derek_julian Yes definitely. The underlying data is quite enriched and full with streams like use cases, target customers, integrations and more. The more targetted the query the better the results.
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When it shows reasoning alongside each result, is that reasoning generated from the same rewritten description it used to match, or is it a separate pass? Asking because if it's the same pass, the explanation will always sound convincing even when the match is bad, and I won't be able to tell a strong hit from a stretch.
@darly_selby Currently no. Though you can ask adjacent industry question and it find the best solution (as it can search amogst the customer base and use casses too.)
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This is interesting. Does it rank results by company stage or funding level for the best fit?
YC has it
Hey Product Hunt, I'm Raghav 👋
There are 4,000+ active YC companies. Most of them are invisible to the people who need them most. The one that solves your exact problem is probably in there somewhere, and today the only way to find it is scrolling a directory sorted by batch.
ychasit finds it for you:
• Describe your problem in plain English ("my sales team wastes hours copying data between tools")
• It searches all 4,000+ companies and returns the 1-3 that actually fit
• Each one comes with reasoning, pricing, and integrations
• Completely free. No login, no signup, no limits.
Throw anything at it. Blunt queries, competitor searches, vague rants about your workflow. If you get a bad result, paste the query below and I'll trace it.
I built this because I think it's a genuinely useful addition to the YC ecosystem. It sends people straight to the companies solving their problem, which is good for the founders and good for whoever's searching.
Also live on X today: https://x.com/myname_raghav/status/2080614632444579852?s=20. If this ends up in front of Garry Tan, that would honestly make my year. Any support from this community means a lot.
@raghav2 I'm curious how you handle startups that have pivoted a few times?
@raghav2 Fun angle on the 'is my idea taken' anxiety. From the operator side, knowing a YC company solves my problem is step one; the real question is buy it or build around it. Does it surface how mature or funded the match is?
YC has it
@artem_fedorovich Great question Artem. Currently we do not plug in funding data but definitely considering it for the future versions.
ClinicFrame
Raghav, the premise rests on the user stating the real problem, and that is the part I would stress.
I ran 50 customer interviews for my company. Almost everyone named the same pain out loud, clinical notes, but the budget was sitting somewhere else entirely, insurance reimbursement. If I had typed my stated problem into this, it would have confidently routed me to a notes tool and missed where I would actually spend. The match can be perfect and still point at the wrong category, because the weak link is the self-diagnosis, not the search.
So the question: does it only solve the literal problem I type, or can it surface the adjacent one, the "people who ask for X usually end up needing Y"? A tool that gently widens a misdiagnosed query is worth far more than one that nails a well-phrased one.
YC has it
@clemente_lopez1 Amazing question Clemente. Currently, it answers only the direct query. I would love to consider this for V2.
YC has it
@thys_beesman Ran it. Got Sapling.ai (W19) and Reality Defender (W22), both scored as strong matches at 94% and 93%.
They detect AI-generated text, which is adjacent to fake review detection but not the same problem. Plenty of fake reviews are human-written, and neither plugs into Google or Yelp review flows. Reality Defender is also 54 people with enterprise contact-sales pricing, so not a small-business answer.
So it found the nearest real thing instead of inventing something absurd, but it should have said "nothing targets this directly, here's the closest neighbor" rather than 94%. That confidence gap is the fair catch, and I'm reworking how the scoring bands express it.
On churn, that's the other real weak spot. The company list refreshes from a source that drops dead and acquired startups, but a quiet pivot leaves a stale description behind, and a confident wrong answer is worse than none. Right now thumbs-downs and results that get shown but never clicked flag which companies need rewriting. A periodic full refresh is the honest long-term fix.
if two yc companies solve this differently, like enterprise vs solo founder, does it explain that or just pick one.
YC has it
@derek_julian Yes definitely. The underlying data is quite enriched and full with streams like use cases, target customers, integrations and more. The more targetted the query the better the results.
When it shows reasoning alongside each result, is that reasoning generated from the same rewritten description it used to match, or is it a separate pass? Asking because if it's the same pass, the explanation will always sound convincing even when the match is bad, and I won't be able to tell a strong hit from a stretch.
YC has it
@arya012 Very well pointed out. It does drop anything it's unsure about rather than hedge. Though it still try to make the best match convincing.
@raghav2 Will users be able to filter results by industry or company stage later? That could improve relevance.
YC has it
@darly_selby Currently no. Though you can ask adjacent industry question and it find the best solution (as it can search amogst the customer base and use casses too.)
This is interesting. Does it rank results by company stage or funding level for the best fit?
YC has it
@dhiraj_patel5 Unfortunately not! Maybe we can add it as V2