This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
An AI analyst for angels, VCs, and accelerators. It reads each inbound application and grades every claim: backed by artifacts, self-reported, or unverifiable as presented — plus red flags and founder questions. Humans make the decisions.
AI made starting a company cheap, and it shows in every investor's inbox: more decks, more polished narratives, more specific-sounding numbers. A faster summary of an unverifiable claim is still unverifiable. The question that eats a screener's time isn't "what does this startup do" — it's "what here can I actually check?"
Evidence Gate reads one application and returns a brief:
a proceed / hold / escalate verdict (readiness for review, never an investment view)
every material claim graded — supported in the pack, self-reported, or unverifiable as presented — with the exact artifact that would verify it
red flags visible in the pack: metric inconsistencies, arithmetic breaks, unnamed "major" partners
founder questions ready to paste into your reply
New today: the same gate works from the other side of the table. If you're a founder, run your own deck through it before you submit and see what an evidence-first screener sees — then attach the missing artifact, or reword the claim, before an analyst flags it for you.
What it isn't, on purpose: not a score of how good the startup is, not a factuality checker (it can't tell you a claim is true, only whether it's verifiable and how), not a replacement for judgment. Not investment, legal, or financial advice. Humans make the decisions.
Where it's at: a live demo with two illustrative sample applications and pre-generated agent runs. I'm looking for investors and founders to run a real batch and tell me where it's wrong.
Tried it on a stack of inbound decks and the grading was sharper than I expected, especially the red flag callouts. Wish it flagged a bit more aggressively on boilerplate traction numbers, but overall super useful for a first pass.
how does it handle the flood of ai-generated pitch decks that all look equally polished on the surface
Punched in a few real inbound decks and the grading felt honest, not punitive, calling out which numbers were actually backed by data and which were hand-waved. The red flag section caught a couple of things my partners and I had missed on first read.
Tried it on a few decks and the grading actually flagged things I would have missed in a quick skim. The founder questions at the end are genuinely useful for the call.
About Screen startups by evidence on Product Hunt
“Your deal flow, graded by evidence”
Screen startups by evidence was submitted on Product Hunt and earned 5 upvotes and 8 comments, placing #66 on the daily leaderboard. An AI analyst for angels, VCs, and accelerators. It reads each inbound application and grades every claim: backed by artifacts, self-reported, or unverifiable as presented — plus red flags and founder questions. Humans make the decisions.
Screen startups by evidence was featured in Investing (26.7k followers), Venture Capital (49.5k followers), Artificial Intelligence (473.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 139.1k products, making this a competitive space to launch in.
Who hunted Screen startups by evidence?
Screen startups by evidence was hunted by Vassiliy Lak. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Screen startups by evidence stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Vassiliy Lak
Hi Product Hunt — I'm Vassiliy, solo builder.
AI made starting a company cheap, and it shows in every investor's inbox: more decks, more polished narratives, more specific-sounding numbers. A faster summary of an unverifiable claim is still unverifiable. The question that eats a screener's time isn't "what does this startup do" — it's "what here can I actually check?"
Evidence Gate reads one application and returns a brief:
a proceed / hold / escalate verdict (readiness for review, never an investment view)
every material claim graded — supported in the pack, self-reported, or unverifiable as presented — with the exact artifact that would verify it
red flags visible in the pack: metric inconsistencies, arithmetic breaks, unnamed "major" partners
founder questions ready to paste into your reply
New today: the same gate works from the other side of the table. If you're a founder, run your own deck through it before you submit and see what an evidence-first screener sees — then attach the missing artifact, or reword the claim, before an analyst flags it for you.
What it isn't, on purpose: not a score of how good the startup is, not a factuality checker (it can't tell you a claim is true, only whether it's verifiable and how), not a replacement for judgment. Not investment, legal, or financial advice. Humans make the decisions.
Where it's at: a live demo with two illustrative sample applications and pre-generated agent runs. I'm looking for investors and founders to run a real batch and tell me where it's wrong.
Try it → https://vassiliylakhonin.github.io/evidence-gate.html
Investors: send a batch from your current pipeline. Founders: run your own pack before you submit. I read every reply.