Reminder.FYI – A newsletter for easily-forgotten responsibilities

Hacker News

Hey HN! I tend to have trouble remembering all the adult responsibilities I have to do in my life - things that come along with owning a house, car, and stuff the doctor tells me to do regularly. I wanted a way to easily sign up to be gently reminded of the things I might want to consider doing - but easily forget, so I built reminder.fyi. It's a weekly newsletter that you get to your email. You sign up, choose the categories that apply to you, and you'll receive a list of reminders about things you might have forgotten about that are coming due. It's still a very basic build, with very little features, but depending on interest I'm looking to build it out. Any feedback, suggestions, content, etc. is always appreciated!

Visit product View on Hacker NewsJun 14, 2023

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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: new, email · Missing: mac, agents, macos

51%51% 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: way · Missing: mobile apps, ios, personal

51%51% 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

39%39% 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

38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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 · Missing: web3, chat, crypto

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

Correct prediction on native model

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