Remindme – A tool to set short-term reminders from the terminal

Hacker News

Hello there! The idea behind this CLI tool is to use it for short-term reminders, e.g. to remind you (via OS-specific notifications) to do something in 2 hours or in 10 minutes. The app is supposed to be cross-platform compatible. Still, I have limited access to platforms, so it was tested only on MacOS, Ubuntu (via VirtualBox), Fedora (via VirtualBox) and Windows 10 Home. I'd appreciate any feedback on how it works on these and other OS-es. Also, I have never tested it outside my time zone (GMT+2), so it would be nice to hear from folks from other parts of the world. Any feedback, comments, and questions are greatly appreciated, as it's just a tool built for fun. Here is a short intro on how to use it: Once installed (via Homebrew, APT, YUM or binary), the usage is pretty simple: - to run the app: remindme start - to set a reminder in 5 minutes: remindme in --min 5 --about "Rewatch LOTR editors cut" Use `--sec` and `--hr` flags to set reminders in seconds or hours, respectively. - to set a reminder at a specific time: remindme at --time "22:20" --about "Replay Gothic video games" Use `--am` or `--pm` flags with 12-hour A.M./P.M. format time value if you from this way of setting time. - to see the list of incoming reminders: remindme list - to stop the app: remindme stop Please, check the GitHub repo README.md file to see the full list of available commands. Thanks, and have fun!

Visit product View on Hacker NewsAug 9, 2023

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

76%76% 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: mac, macos · Missing: agents, agent, cursor

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

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

46%46% 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

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

40%40% predicted probability of success on TrustMRR, 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.

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