I built a to-do app that lets you only have five tasks

Hacker News

Hi Guys, I'm Spencer, I recently built Five to help me prioritize my day and stop me from making overwhelming to-do lists. Five is a very simple app, you can only have Five outstanding tasks, and until you complete one you cannot add more. Before Five, I would overwhelm my to-do lists with an endless amount of tasks, to the point where I needed to delete them. I had stopped keeping a to-do list completely before this app. The app has helped me manage my ADHD by forcing me to priortize and complete tasks so I can add more, I am also better able to say no to new tasks now. It has also meant that I need to make the tasks small enough I can actually complete them, to be able to add new tasks to my list. I built the app quickly and got it live because I think others could benefit from the concept of limiting your to-list like this. It currently is available on iPhone (iOS16+) only as I could build quickly that way using the latest features of SwiftUI. I build in public can you follow me on twitter for updates: https://twitter.com/Swaldy You can see the app in the app store here: https://apple.co/3EmSwlz

Visit product View on Hacker NewsNov 7, 2022

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

87%87% 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.

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

82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: adhd, io · Missing: https docs, excited, just released

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.

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

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

53%53% 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

17%17% 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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