Another Darn To-Do List App

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Hi guys, This is my first time building something from scratch so go easy on me. I've always used to-do lists to keep me productive and stave off anxiety (not sure why they work so well for me but they do). I get kinda annoyed at the to-do list apps on the app stores because they move tasks to the bottom of the list when you tick them off. Some people may like that, but it annoys the shit out of me, because I like to feel a sense of progression as I go down through the list over the course of the day. So this was borne out of my frustration really. I also made it browser-based so it's easy to access the same list on all devices without installing apps on all of them. It's free to use. It's just something I made for myself and if others find it useful then that's great. I'd appreciate any feedback (there's a button to give feedback when logged in). Thanks!

Visit product View on Hacker NewsSep 26, 2022

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5points

13comments

Did not reach leaderboard

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

79%79% 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: apps, way · Missing: mobile apps, ios, personal

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: 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.

nativeThis product was originally launched on this platform.

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

54%54% 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

41%41% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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