Indilingo

Indilingo

TrustMRR

Indilingo is an AI-powered language learning app built for India’s multilingual reality, helping you master 20+ Indian languages like Hindi, Sanskrit, Tamil, Telugu, Kannada and more directly from you

Indilingo is an AI-powered language learning app built for India’s multilingual reality, helping you master 20+ Indian languages like Hindi, Sanskrit, Tamil, Telugu, Kannada and more directly from your own mother tongue, without relying on English. With adaptive lessons, live AI speaking and chat practice, real-time pronunciation feedback, and culturally rich, real-world scenarios, Indilingo makes language learning intuitive, immersive, and truly personal to every Indian learner.

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Actual performance

993customers
$1,713MRR/mo
Made the leaderboard

Traction signals

Domain Rating1
MRR growth 30d+55.2%

Launch Intel predictions

Analyze your own launch →
TrustMRRFits verified-revenue profile · Strong signals: ios, personal · Missing: mobile apps, entrepreneurs, apps
70%70% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive · Missing: plus, platform, reviews
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
43%43% 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: io · Missing: https docs, excited, just released
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
31%31% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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