Remember Your People

Remember Your People

TrustMRR

Remember Your People is a privacy-first personal CRM web app that helps people remember meaningful details about the friends, contacts, and family in their life — end-to-end encrypted, so notes stay p

Remember Your People is a privacy-first personal CRM web app that helps people remember meaningful details about the friends, contacts, and family in their life — end-to-end encrypted, so notes stay private even from the operator. Notes can be securely shared — for example, to track friends' favorite things or clothing sizes when buying presents. An on-premise version is also available for sale. A lean, defensible niche product with clear room to grow into new features, languages, and audiences.

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating4
MRR growth 30d-100.0%

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: new, notes · Missing: mac, agents, macos
66%66% 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.
TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
47%47% 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
44%44% 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
20%20% predicted probability of success on AppSumo, 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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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