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Schedule phone call reminders from within your favorite calendar app -

Hacker News

Schedule phone call reminders from within your favorite calendar app -

Some friends and I built RingReminder over a few nights / weekends as a side project - the core problem we were trying to solve was "how can we improve the reliability of our friends/family, so they do the things they are supposed to?", like show up to social plans on time, take their medications, etc... The solution we landed on was a telephone-based automated reminder service - controlled from your calendar app. The hypothesis driving our solution was while many people may check their email every few seconds / view upcoming events in their calendars, everyone we know picks up calls to their phones. Therefore, if we could create a near-frictionless method of automatically calling our friends to remind them to leave early, maybe we could improve their reliability. The calendar seemed like a natural place to do this - Just invite a ringreminder.com email address to the calendar entry, and a telephone call reminder is set. Also, us organized folks already used our calendar apps to keep track of when we were meeting said friends. On the back end, its built in Java (spring framework) - we basically poll a mail account at regular intervals checking for calendar invites (Google/iCal or Outlook format) - we then parse out the necessary information to schedule the reminder call from the invite, and call Twilio to make the outgoing call. Any changes to the event (including cancellation) are automatically processed, assuming that you let your calendar app notify all guests to the event of the change. There is also a web CRUD interface for manually managing reminders. Let me know if you have any questions!

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, apps, email · Missing: mac, agents, macos
89%89% 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.
Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: apps, google · 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 · Strong signals: interface, calls · Missing: plus, platform, intuitive
42%42% 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, including · Missing: https docs, excited, just released
34%34% 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
15%15% 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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