Launch Intel
CoupleAI

CoupleAI

TrustMRR

The platform (mobile and web) has achieved stable recurring revenue in less than one year of operation, with healthy margins and low operational overhead. The project has already built a strong presen

The platform (mobile and web) has achieved stable recurring revenue in less than one year of operation, with healthy margins and low operational overhead. The project has already built a strong presence across Latin America, reaching more than 300,000 registered users and validating strong market demand despite operating mainly in a lower-value market. The main growth opportunity comes from expanding into larger international markets, where the platform’s acquisition system and existing tractio

Visit productView on TrustMRRJul 18, 2025EntertainmentMobile AppB2C
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Actual performance

238customers
$3,433MRR/mo
Made the leaderboard

Traction signals

MRR growth 30d-20.3%

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: users · Missing: mobile apps, ios, personal
72%72% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
63%63% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
56%56% 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: exist, existing, 000 · Missing: https docs, excited, just released
49%49% 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: revenue, margin, growth · Missing: arr, mrr, profit
37%37% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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