TranslateMom

TrustMRR

With over 100k followers on X at x.com/translatemom. AI-powered captioning, translation, dubbing and short-form video enhancement tool designed for creators who publish on TikTok, Reels, Shorts, and similar platforms. Automatic dynamic subtitles, fast editing presets, and easy export for social media formats.

Visit product View on TrustMRRJun 2, 2023Artificial Intelligence Media Both

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Actual performance

267customers

$4,270MRR/mo

Made the leaderboard

Traction signals

Domain Rating30

MRR growth 30d+6.7%

Launch Intel predictions

Analyze your own launch →

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

65%65% 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.

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

58%58% 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 · Missing: plus, intuitive, reviews

53%53% predicted probability of success on AppSumo, 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

32%32% 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

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 · 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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