AI
AI-photo app portfolio: $1.4M revenue · 40% EBITDA margin in 2026 · runs itself
Acquire.com2026 YTD: $748K revenue · $299K SDE · 40% EBITDA margin (Jan–Aug, 8 months — annualizes ~$448K). TTM $1.40M revenue · $353K SDE · ~87% gross margin.
2026 YTD: $748K revenue · $299K SDE · 40% EBITDA margin (Jan–Aug, 8 months — annualizes ~$448K). TTM $1.40M revenue · $353K SDE · ~87% gross margin. Asking $1.2M all-cash.
Share cardActual performance
$116,666/yr
Made the leaderboard
Traction signals
Asking price$1,200,000
Annual revenue$1,400,000
Revenue multiple0.9x
Launch Intel predictions
Analyze your own launch →Acquire.comFits revenue-generating acquisition profile · Strong signals: revenue, margin, ttm · Missing: arr, mrr, profit85%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.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto72%72% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Correct prediction on native model
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