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Profitable AI Photo SaaS Portfolio | $1.56M TTM Revenue | $350K SDE | 88% Gross Margin

Acquire.com

A profitable portfolio of two AI-powered consumer products that help users optimize dating profiles and generate professional headshots. Built on a shared AI platform with recurring subscription revenue, lean operations, and strong profitability.

A profitable portfolio of two AI-powered consumer products that help users optimize dating profiles and generate professional headshots. Built on a shared AI platform with recurring subscription revenue, lean operations, and strong profitability. Key Highlights: ✅ $1.56M TTM revenue with $350K SDE ✅ 88% gross margin and highly automated operations ✅ ~$790K ARR with recurring subscription revenue ✅ 370K+ social followers, email list, and proprietary AI datasets included ✅ Two established AI ...

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Actual performance

$65,833/yr
Made the leaderboard

Traction signals

Asking price$1,200,000
Annual revenue$790,000
Revenue multiple1.5x

Launch Intel predictions

Analyze your own launch →
Acquire.comFits revenue-generating acquisition profile · Strong signals: arr, revenue, profit · Missing: mrr, growth, training
85%85% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: users, profitable · Missing: mobile apps, ios, personal
58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user, email · Missing: mac, agents, macos
40%40% 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: io · Missing: https docs, excited, just released
40%40% 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
9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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