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200+ ideas scored every week — here's what's under the hood.
6 signal dimensions. 25 live integrations. Weekly backtests against real outcomes. Written by the team that builds the pipeline — not a marketing department.
Top questions
Scouting layer
200+ sources. Ingested daily.
Some of the most prominent ones you might know
New sources added monthly as they prove reliability in backtests. Each idea card shows which sources surfaced it.
Common objections
The three things founders wonder before they trust a score.
“Is this just another AI idea generator?”
No. Fluenta doesn't generate ideas — it validates them against live market data. The ideas come from 200+ real sources (VCs, media, communities). The scores come from 25 live APIs (Google Trends, Reddit, Crunchbase, G2, app stores). Nothing is invented by a language model.
“Why does X-Ray take 20 minutes?”
Because we actually hit every integration. Google Trends, keyword APIs, Reddit search, Crunchbase, Product Hunt, job boards, app stores — each takes real time to query, normalize, and cross-reference. A 90-second “AI summary” skips all of this. We don't.
“Can I trust a score?”
Every sub-score links back to the raw source — the actual Reddit threads, search volumes, and competitor listings. You can challenge any number by clicking through. And we run weekly backtests: we check what happened to ideas we scored 3, 6, and 12 months ago, and re-tune the weights when we're wrong.
Browse by section
Step-by-step guides to sign up, run an Idea X-Ray, manage credits, and keep your ideas private.
The two-layer model: 200+ idea sources for scouting, 25 live integrations for verification, and the Launch Readiness Score that ties them together.
Plain-English definitions for Launch Readiness Score, signal categories, and the vocabulary we use across the product.
How Fluenta stacks up against ChatGPT, manual research, and other validation workflows.