Preuve AI: Evidence-Based Idea Scanning
Type: tool
Stage: Stage 1: Problem Proof
Difficulty: intermediate
Scans 40+ sources — Reddit, Product Hunt, review platforms — to find evidence of problem pain and demand signals in under 60 seconds.
Overview
Preuve AI is built for the specific moment when you have an idea and want to know whether it's worth spending weeks validating. It searches across Reddit threads, Product Hunt launches, app store reviews, and other platforms simultaneously — surfacing pain signals and demand evidence in seconds rather than hours.
What it does
Preuve AI scans over 40 sources of organic, unfiltered user conversation — communities, review platforms, product feedback threads — and identifies mentions of the problem you're researching. It then organizes findings by signal strength: how frequently the problem appears, how intensely users describe it, and whether existing solutions are leaving users dissatisfied.
The result is a structured summary of real-world evidence that would otherwise require hours of manual research across Reddit, G2, the App Store, and similar platforms.
When to use it
Use Preuve AI at the very beginning of Stage 1 — before you commit to in-depth interviews or any research investment.
The question it answers is: 'Is there enough public signal around this problem that it's worth exploring further?' If it finds strong evidence across multiple platforms, you have validation that the problem is real enough to investigate in depth. If it finds thin or scattered evidence, that's useful information too — it might mean the audience is too small, the problem is too niche to appear in public forums, or the framing needs to change.
Don't use it as a substitute for interviews. Use it as a triage tool.
How to interpret the results
Strong signal: multiple independent sources (Reddit + review platforms + product feedback) all describing the same problem in similar terms. This means the pain is real, widespread, and not being adequately solved.
Weak signal: mentions are scattered, phrased differently across sources, and concentrated in one platform. This doesn't mean the problem isn't real — it might mean your search terms need adjustment, or that the audience describes the problem differently than you do.
The 'dislikes' and 'frustrations' clusters are the most valuable output. These are the specific gaps that current solutions leave open.
Limitations
Preuve AI surfaces what people say publicly. Some of the most painful problems — in enterprise software, specialized professional workflows, or sensitive industries — generate little public discussion precisely because they're specialized.
For mainstream consumer problems, it's highly effective. For niche B2B or professional-services markets, treat the output as a starting point and supplement it with direct outreach to practitioners.