Or

Ordently – Consciously plan your day and your life

Hacker News

Ordently – Consciously plan your day and your life

I've been using a task management tool for the past 1 year that I built. A few months ago, I spent some time to make it more generic because my partner wanted to use it as well and she's been loving it ever since. Love her, but she's a bit biased. Firstly, this is a todo app for your life. Existing tools are built around how we work as employees in a company. With a company, all the habits, goals, vision and rituals are given to you in an employee handbook. The company is our coach, and in most cases, we listen and do as the coach says. Its easier to get things done in this environment. In our personal lives, we gotta figure out our goals, work on our habits and setup rituals. We're also more flexible, more forgiving on when we want to do certain things and more rigid on the others. The Daily Planner is central to that ideology, working with one off and repeatable tasks . You onboard with your day first, could be as simple as calling your mum or going on a walk or do yoga. As you get more comfortable, you start to consciously build a life that you want to live by creating rituals and setting goals as you get more confident. Personally, I haven't been able to get that through Todoist or Notion.

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Actual performance

34points
16comments
Made the leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: tasks, using · Missing: mac, agents, macos
85%85% 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
80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, month · Missing: mobile apps, ios, entrepreneurs
63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · Missing: https docs, excited, just released
58%58% 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 · Missing: plus, platform, intuitive
37%37% 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
23%23% 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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