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I built an AI tool that generates YouTube thumbnails in seconds

Hacker News

I built an AI tool that generates YouTube thumbnails in seconds

Hi HN I’m Samuel, a solo builder. As the year wraps up, I’m shipping my last SaaS of the year — YouTube Thumbnail Generator. It’s a simple AI tool that helps creators generate click-worthy YouTube thumbnails without needing design skills or Photoshop. You describe your video (or upload an image), and it generates your thumbnail style you can iterate on quickly. I built this after noticing how much time creators spend designing thumbnails instead of creating content. Would love feedback from the community — especially around UX, pricing, and what features would actually move CTR. https://www.youtubethumbnailgenerator.app/ Thanks for checking it out!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoMay struggle as an AppSumo deal · Strong signals: builder · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
29%29% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released
26%26% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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