A reason to look closer.
A search hit or repeated phrase suggests there may be something to investigate. Snippets and counts alone are not proof.
METHOD / OPEN THE RECEIPTS
A signal is a lead. A receipt is something you can inspect.
DA-VALIDATOR searches selected public conversations, classifies language with local rules, and groups recurring problem signals. It does not estimate total market size or predict business success.
What the sample actually says.
Source items, dates, contributors, recurring language, and retrieved counts are observable within the scan returned.
A hypothesis to test.
Opportunity, growth, willingness to pay, and product direction require interpretation or other evidence. They are not facts established by a pain score.
Start with a signal. Build from evidence.
Most founders don't have an idea problem. They have a confidence problem. DA-VALIDATOR looks for repeated pain in public source material; it does not predict success, estimate search demand, or invent competitors.
How a scan works
- Search public Hacker News discussions, GitHub issues, and Stack Exchange communities for the selected niche.
- Deduplicate returned source items, then classify likely problem language with transparent local keyword rules.
- Group recurring signals and show the sample size, contributor count, source mix, and score breakdown.
- Keep original source links beside the evidence so a person can inspect context and make the call.
Optional research links can be attached to a scan. Those links are labeled separately from the automatically retrieved public sources.
What qualifies as a pattern
Cards appear only for clusters with at least 3 distinct threads and 3 independent contributors. A pattern is qualified once it has 4 de-duplicated items and evidence from at least 2 public source types.
An independent contributor is counted as one distinct author per thread. Multiple replies in the same discussion do not multiply the thread or contributor count.
How the signal score is weighted
- Frequency — 35%: unique threads in the pattern.
- Contributor recurrence — 30%: independent contributors across those threads.
- Pain language — 25%: local language signals in the classified sample.
- Source breadth — 10%: the number of public source types represented.
The score ranks the retrieved sample. It is not a probability, a market-size estimate, or a validation verdict.
Public discussions searched through Algolia’s Hacker News search endpoint. A discussion is not necessarily a customer complaint.
OPEN SOURCE ↗ISSUE SEARCHGitHub IssuesPublic issues returned by GitHub’s issue search. Issues describe reported software behavior and can include feature requests or duplicates.
OPEN SOURCE ↗COMMUNITY QUESTIONSStack ExchangePublic questions searched through the Stack Exchange API across supported communities, including Stack Overflow.
OPEN SOURCE ↗Don't trust the label. Inspect the receipts.A scan is a bounded sample of public material at a point in time. It is not a representative survey of an entire market.