?App works for some YouTube niches but not others — how do I validate which niches are the actual market vs a feature I shouldn’t ship?

On r/startups (1,213 upvotes, 286 comments), u/ssbmomelette (self-described serial founder, current startup at $5M ARR) wrote a long-form essay on “What kind of business should I start?” His framework: a business venn diagram that scores opportunities on three dimensions — market opportunity (size + accessibility), pain magnitude (how acute the problem is), and your fit (skills + community access). Applied to the niche-already-tested case: for each niche where the app extracted actionable signal, score (a) total addressable creators in that niche, (b) how acutely those creators feel the don’t know what to make next problem, (c) your ability to reach that community. Niches scoring high on all three are real market; niches with high engagement but low pain-magnitude are interesting feature territory, not market.

In the comments on that same r/startups thread, u/leolock567 added a dimension the framework missed: “Is the pain point painful enough at this point in time or should I wait? Is the market ready for my solution at this point in time? Is the tech in my solution stable enough right now that it won’t be upended by some wave like AI? There are many good products which failed to get traction simply because of wrong timing.” Applied to 2026 YouTube niche selection: niches where creators already use AI tools daily (gaming/tutorial) are timing-ready for an audience-intent extraction tool; niches where the comment culture hasn’t matured around asking creators for content (lifestyle vloggers, large praise-heavy channels) are timing-mismatched regardless of TAM. Timing is often what separates feature I shouldn’t ship from niche I should wait on.

Reusing a pattern from a separate HN validation thread (commenter mchasse): “go out and find some group of people/companies and then ask them what problems are they currently facing that are not currently ideally solved.” Applied to the niche-fit case: for each niche where the algorithm extracted nothing actionable (MKBHD-tier huge channels with praise-heavy comments, lifestyle vloggers, etc.), the structural question isn’t “how do I tune the algorithm for this niche?” but “do these creators have the problem your tool was designed to solve at all?” Five 15-minute interviews with creators in that niche — asking what they currently do for content ideation and what they wish they had — typically surface that praise-heavy comment culture means they don’t have an audience-intent-extraction problem. That’s a wrong niche signal, not a wrong tuning signal.