Launch Intel
Infyn

Infyn

TrustMRR

Infyn is a private app for couples to capture and relive their story together. Share photos, create albums and stories, keep a shared wishlist, and stay connected in a secure, real-time space made jus

Infyn is a private app for couples to capture and relive their story together. Share photos, create albums and stories, keep a shared wishlist, and stay connected in a secure, real-time space made just for two.

Visit productView on TrustMRRJun 1, 2026UtilitiesMobile AppB2C
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Actual performance

2customers
$7MRR/mo
Did not reach leaderboard

Traction signals

MRR growth 30d+200.0%

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
49%49% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
39%39% 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
24%24% 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
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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