Crediva

TrustMRR

Crediva turns car photos into cinematic AI-generated videos in minutes — no studio needed. Launched 2 months ago, 100% organic growth (zero paid ads), 830 users via App Store search alone. $405 total revenue, $271 last 30 days, only $30 API costs (~92% margin). In-app subscription model. Fully custom-built codebase, no legal/IP issues. Full source code transfer included. Strong upside for a buyer who adds ASO or paid marketing.

Visit product View on TrustMRRApr 10, 2026Artificial Intelligence Mobile App B2C

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Actual performance

10customers

$152MRR/mo

Did not reach leaderboard

Traction signals

MRR growth 30d-5.3%

Launch Intel predictions

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

83%83% 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, code · Missing: mac, agents, macos

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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 NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Acquire.comFits revenue-generating acquisition profile · Strong signals: revenue, margin, growth · Missing: arr, mrr, profit

53%53% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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