PropFade

TrustMRR

PropFade turns a real estate agent's listing photos into a finished, polished video in about two minutes. Each photo transitions smoothly into motion, so it feels like real footage rather than a slideshow. AI writes a script from your listing, reads it aloud with on-screen captions, then adds music, an animated intro, room labels, a branded end card, and your logo to every frame.

Visit product View on TrustMRRJun 20, 2026Content Creation Software B2C

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Actual performance

1customers

$118MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating14

MRR growth 30d-33.7%

Launch Intel predictions

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

68%68% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

65%65% 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: ide, 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.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

42%42% 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, intuitive

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

30%30% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

16%16% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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