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Quid Sentio, a shareable personal journal

Hacker News

Quid Sentio, a shareable personal journal

I am building what I think is a quieter and saner space to share your life online with trusted ones. https://www.quidsentio.com I have this vision of a "quiet social network" where you can write personal stuff, share it, if you want, with very close friends and thus create more meaningful relationships in your life. The first step is here, a personal journal where you can create and share entries. Next in line are comments (so it enables conversations) and end-to-end encryption of all data. No ads, no tracking, no exploration of addictive behavior. I understand that e2e encryption is the most important feature for HN crowd, so if you want to wait until I get there, follow this Twitter for announcements: https://twitter.com/QuidSentio

Visit product View on Hacker NewsFeb 16, 2020

Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

34%34% 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

16%16% 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

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

Incorrect prediction on native model

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