Product Hunt data is the receipt engine

ChopChecker is built around launch evidence: every Product Hunt launch in the local dataset window, plus the metadata that came with each launch.

Dataset snapshot

Sources

19 monthly files

Launches

174,503 unique Product Hunt launches

Window

Nov 2024 through May 2026

Duplicates

0 duplicate Product Hunt IDs in validation

Metadata ChopChecker can use

nameslugtaglinedescriptionlaunch datetopicsvotescommentsdaily rankweekly rankmonthly rankmakersProduct Hunt URLwebsite URL

Parse the idea

Turn the pasted pitch into a category, target user, promise, keywords, adjacent product types, and likely workflow.

Find comparable launches

Search the Product Hunt launch corpus across names, taglines, descriptions, and topics to find close and adjacent products.

Measure chop pressure

Look at similar-launch density, recent launch velocity, positioning sameness, engagement concentration, ranks, votes, and category fatigue.

Return receipts

Show representative Product Hunt comps with dates, votes, comments, and the reason each one matched.

Find the wedge

If the idea is not dead, suggest the narrower buyer, workflow, or positioning angle that makes it less chopped.

What it does not know

Product Hunt launch history is strong evidence for founder-market saturation, copycat waves, and positioning sameness. It is not a complete market-size model, revenue database, private competitor tracker, or guarantee that an idea will work or fail.