HelloCheck – AI Receipt Scanner

TrustMRR

HelloCheck is an AI-powered Telegram bot that scans grocery receipts from photos and instantly shows calories, Health Score, basket profile and simple nutrition tips. Supports English and Russian, free tier with monthly limits and a Pro plan (Telegram Stars–ready). Includes OCR pipeline, nutrition engine and receipt history dashboard.

Visit product View on TrustMRRAug 21, 2023Health & Fitness Services B2C

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating3

Launch Intel predictions

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

78%78% 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.

TrustMRRFits verified-revenue profile · Strong signals: month, monthly, scanner · Missing: mobile apps, ios, personal

54%54% 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 · Missing: plus, platform, intuitive

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

27%27% predicted probability of success on BetaList, based on ML models trained on real launch data.

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

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: pipe, io · Missing: https docs, excited, just released

19%19% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

10%10% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Incorrect prediction on native model

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