Launch Intel
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Micro SaaS tool with 130.000+ Daily unique visits, API, Subscriptions and custom ad network

Acquire.com

This micro-SaaS turns YouTube videos into clean transcripts in seconds, serving creators, students, and teams who need fast, accurate text. With 150,000+ daily unique visitors plus AI tools, an API, subscriptions, a Chrome extension, and a custom ad network, it converts heavy organic demand into recurring revenue.

This micro-SaaS turns YouTube videos into clean transcripts in seconds, serving creators, students, and teams who need fast, accurate text. With 150,000+ daily unique visitors plus AI tools, an API, subscriptions, a Chrome extension, and a custom ad network, it converts heavy organic demand into recurring revenue. The business is lean and growing: revenue up ~20% MoM, traffic up 10x in 12 months, $78k TTM revenue with $73k profit, and $192k ARR. Operations are streamlined, making it easy to ...

Visit productView on Acquire.comSaaS
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Actual performance

$16,000/yr
Made the leaderboard

Traction signals

Asking price$480,000
Annual revenue$192,000
Annual profit$73,000
Revenue multiple2.5x

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comFits revenue-generating acquisition profile · Strong signals: arr, revenue, profit · Missing: mrr, profitable, margin
78%78% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: video, month · Missing: mobile apps, ios, personal
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: plus · Missing: platform, intuitive, reviews
50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, 000, io · Missing: https docs, excited, just released
43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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