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GoogleKeep Taskwarrior Bi-Directional Synchronization

Hacker News

GoogleKeep Taskwarrior Bi-Directional Synchronization

Hi all, Just released a new version of taskwarrior-syncall ( https://github.com/bergercookie/taskwarrior-syncall ). It's a bi-directional synchronization framework, which keeps in sync your Taskwarrior tasks with a variety of other services including Google Calendar events and Notion. In the latest version, I'm adding support for synchronization with checklists in Google Keep. I.e., every Taskwarrior task is converted and kept in sync with an item in a google keep note check list. Demo here: https://github.com/bergercookie/taskwarrior-syncall/blob/mas...

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Hacker NewsStrong engagement from HN community · Strong signals: just released, io, including · Missing: https docs, excited, exist
59%59% 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 · Strong signals: google, new, tasks · Missing: mac, agents, macos
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: including · Missing: supports, reddit linkedin, podcasting
30%30% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
12%12% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

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