Avoid Event conflicts by syncing your Google Calendars [open-source]

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Hello everyone, I recently found myself having conflicting events between my personal and professional google calendars, which required rescheduling and was a pain in the arse on top of being a liability for future events. After not being happy with the solutions I found, I decided to build it myself and make it open-source. It keeps on personal data of yours in the database, only the event id required to connect back the dots. It's pretty simple: 1. Connect your google accounts 2. Pick the calendars to sync together 3. You will see "Blocker" events appearing It's in its first version, feedback is appreciated and I'm ready to add extra functionalities depending on what the users want. Cheers!

Visit product View on Hacker NewsDec 13, 2023

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

76%76% 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, google, users · Missing: mobile apps, ios, entrepreneurs

62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

58%58% predicted probability of success on Indie Hackers, 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

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

26%26% 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

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

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

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