Socialkeeper – An email based personal relationship manager

Hacker News

Socialkeeper is an email based personal relationship manager. It helps you cultivate your friendships which need a little bit of extra care and attention by sending you reminders directly to your inbox so you can start a conversation. You get emails with links which open your favorite app ready to start a conversation. Open Whatsapp and other chat clients already on your friend's chat window. Email with the email address already filled in and a starter message. Or open the dialer and just hit "call". I created this tool for myself when I realized I was neglecting some friends that moved away or changed jobs. It was pretty useful in helping me reconnect with them so I went ahead and created this project. Maybe it can help someone else! https://www.socialkeeper.io

Visit product View on Hacker NewsJan 14, 2019

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: inbox, email, open · Missing: mac, agents, macos

79%79% 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: personal, way · Missing: mobile apps, ios, entrepreneurs

64%64% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

57%57% 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

48%48% predicted probability of success on AppSumo, 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

45%45% 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

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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