PhotoAIGenerator 1000 users, photos, UGC , VIdeos ,and Mobile App

TrustMRR

Production-shipped AI photo & video SaaS. 9 product surfaces, 13+ AI models in production, 909 lifetime users, 2,260 MAU peak, 1,050+ generations served. Mobile app 80% complete (Kotlin Multiplatform, iOS + Android, 6-10 wks to launch). 18 locales live. $26/mo fixed costs. Two domains: photoaigenerator.app + photoaigen.com. Turnkey stack: Next.js 16, React 19, Prisma, Neon, BullMQ, Cloudflare R2, Stripe, Clerk. 9 months in market.

Visit product View on TrustMRRAug 1, 2025Artificial Intelligence Services B2B

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Actual performance

13customers

$357MRR/mo

Did not reach leaderboard

Traction signals

MRR growth 30d+17.7%

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

79%79% 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.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, user, stripe · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: ios, video, month · Missing: mobile apps, personal, entrepreneurs

60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, 000, io · Missing: https docs, excited, just released

42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue

41%41% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

19%19% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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