AI

AI short-form video editor for creating viral content. $7.2M lifetime revenue, 185K MRR, 3.2M users

Acquire.com

An AI short-form video editor that turns long videos into viral clips for TikTok, Reels, and Shorts. The browser app auto-generates highlights, captions, and voiceovers in minutes.

An AI short-form video editor that turns long videos into viral clips for TikTok, Reels, and Shorts. The browser app auto-generates highlights, captions, and voiceovers in minutes. Used by 3.2M creators with 8,401 subscribers and $185K MRR. Bootstrapped, profitable, and efficient: 88% gross, 33% net. $3.08M TTM revenue, $1.11M TTM profit, and $2.22M ARR. Lean team and automated ops make this a low-overhead, scalable asset. Key Highlights ✅ Big funnel: 3.2M users + 327K monthly visitors to c...

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Actual performance

$185,000/yr
Made the leaderboard

Traction signals

Asking price$2,250,000
Annual revenue$2,220,000
Revenue multiple1.0x

Launch Intel predictions

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Acquire.comFits revenue-generating acquisition profile · Strong signals: arr, mrr, revenue · Missing: saas, margin, growth
81%81% 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, monthly · Missing: mobile apps, ios, personal
74%74% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: efficient, users · Missing: plus, platform, intuitive
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
41%41% 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
13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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