lists4trello - Different view on Trello projects

Hacker News

Hey everyone, I had to use trello for work at one point and did not like the web interface so I created a small terminal script to just have a really simple todo list kinda presentation. Eventually it became Lists4Trello (https://apps.apple.com/us/app/lists-for-trello/id940239558?ls=1&mt=12). The goal was not to copy all functionality from trello.com, but rather have 80% of features I used. Let me know if you like the app and what functionalities that you usually use you miss. If you enjoy the app I would appreciate an upvote on product hunt (https://www.producthunt.com/posts/lists-4-trello) Here is a bunch of promo codes ( 100% discount :) ), if you used one just post "[code] used" so others don't use it. ETKHE4RKX7RH K3KPLPNXMJ9X 96YJHYFTPEEM 3FM346RNJFT4 AMEAXEP7M6R6 XRRXFMRPYE3F A3EP7TXE4Y9H P4X4E93W4M49 9LNYEPLFT3H9 4T3XJLWN3Y77 YL94YYYYXRY3 TP4NE6AX9NF9 X7RFE9EMLM96 ELXHFFXFN9TA J3KJFTAHKAJ9 TH3RLLLMJWNE PRW9LTT6WT7R 9JMWLL7KKJ76 KM4NE7W47AWR HF7JW7EKRXY9 RWE44FXKHFRF LKFNMK97R96L NXT6EAREYW7R FYA4WE46KKEN WJYKNHEL3WM9 MJ43HAFFY3N9 RPWHTHJJEXAN 6PATJJKL7WA4 R4NFYAWX4NJJ 73JWE7JAY4MY 9E3HK3XWMEX3 NP7NWM96TREL KM7KAENFXTMR YJMR4LFM4RKT LNLKMYE94P74 A4EM7KX6YRYK 4X9KT797FFLP L4EWL9KNNHXH TH9NFF4M4P6F HTR6TMEYXMMM F39ARNE9PM7X N4WXLJ4JEJE7

Visit product View on Hacker NewsFeb 2, 2020

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Product HuntOn track for Day 1 leaderboard · Strong signals: apple, apps, code · Missing: mac, agents, macos

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TrustMRRFits verified-revenue profile · Strong signals: apps · Missing: mobile apps, ios, personal

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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: 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.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% 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.

Correct prediction on native model

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