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Resimplifying Todo.txt

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Resimplifying Todo.txt

Gina Trapani had great idea to keep tasks in plain text files and organize them with small shell script (http://todotxt.org). But through the time that "simple script" became a monster: 1349 sloc. One thousand, three hundred fourty nine lines of code in the shell script. I wrote really small script that can respect the simplicity of todo.txt, has colors and couple of new really little improvements that I found useful: pinned tasks and sorting by 'due:'. The script is 33 lines of code. 33 lines, Gina, not 1349. Simple stupid. You can check it here: https://github.com/asakura42/todo.sh What do you think? Can todo.txt still be good solution for some tasks?

Visit productView on Hacker NewsJul 15, 2021
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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
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Product HuntUnlikely to reach the leaderboard · Strong signals: new, tasks, code · Missing: mac, agents, macos
48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
37%37% 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
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
27%27% 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
18%18% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

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