A task manager that auto-prioritises your work

Hacker News

The Eisenhower Matrix is a simple yet effective method of time management. It’s a brilliant technique, but unfortunately it can be quite time-consuming and difficult to manually practice every day. eisedo is a new task manager based on the Matrix itself. What makes it different compared to other apps is the fact that it automatically prioritises your tasks for you. It takes the hard work out of manually arranging your tasks into the quadrants, so you can focus on working productively. The first 500 members to the platform will receive free access for life, so head to www.eisedo.com to register your email if you’re interested. Please feel free to ask any questions or send any feedback you may have on the product!

Visit product View on Hacker NewsSep 7, 2017

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

74%74% 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 · Missing: supports, reddit linkedin, podcasting

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: apps · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, 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

47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

33%33% 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

16%16% 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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