A “CRM” for personal relationships

Hacker News

Android: https://play.google.com/store/apps/details?id=com.spreadvk.e... iOS: https://apps.apple.com/us/app/the-new-elim/id6463781107 We know life can be busy. And we often struggle to make time for the people that matter most to us. According to a Harvard study from 2021, "36% of all Americans [...] feel “serious loneliness.”" [1] We created an app to help people focus on their most personal relationships and guide them through forming more meaningful connections with them, in the hopes to combat the "Loneliness Epidemic". We just launched the first iteration - call it an MVP if you like - something to validate our ideas and get the conversation started. We are looking for people to try out what we have built and share their thoughts. The functionality is very basic for now, but we are planning to expand based on our users' feedback. Here is what you can do today: * Tell us who the people are that matter most to you * Get daily reminders to reach out to them * Send them virtual postcards with over 50 handcrafted designs [1] https://mcc.gse.harvard.edu/reports/loneliness-in-america

Visit product View on Hacker NewsSep 23, 2023

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

85%85% 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.

Product HuntOn track for Day 1 leaderboard · Strong signals: apple, google, apps · Missing: mac, agents, macos

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

40%40% 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

33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

22%22% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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