Reflectary

TrustMRR

Reflectary is an AI-powered journaling app that turns your daily reflections (text or voice) into structured journal entries, complete with unique cover images. It also features a weekly streak system

Reflectary is an AI-powered journaling app that turns your daily reflections (text or voice) into structured journal entries, complete with unique cover images. It also features a weekly streak system to build consistency. Designed to support mental clarity and self-growth, it blends simplicity with meaningful insights.

Visit product View on TrustMRRApr 1, 2024Health & Fitness Mobile App B2C

Actual performance

7customers

$33MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating27

Launch Intel predictions

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

63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

38%38% 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

34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

29%29% 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: io · Missing: https docs, excited, just released

25%25% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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