Swoony Matchmaking

TrustMRR

Swoony is a AI based matchmaking service that provides personalized match suggestions, focusing on quality over quantity. We have over 5600+ registered users with dataset of 50+ questions answered per user. Swoony was born from a simple frustration: modern dating apps are broken. After years of swiping fatigue and shallow matching, the founder became captivated by the idea behind shows like Married at First Sight — that expert-driven, data-informed matchmaking produces better outcomes

Visit product View on TrustMRRApr 20, 2023Mobile Apps Mobile App B2C

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Actual performance

41customers

$1,152MRR/mo

Made the leaderboard

Traction signals

MRR growth 30d-37.9%

Launch Intel predictions

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

88%88% 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.

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

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

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

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

50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

15%15% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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