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Evryca – fractal thinking tool to brainstorm and organize thoughts

Hacker News

Evryca – fractal thinking tool to brainstorm and organize thoughts

Made a tool to organize thoughts. Actually it is a mind tree, but in a more web-friendly form. It has pivoted from what I originally started building at evryca.com. Some years ago I got the idea of fractal conversation, instead of old-school tree/ladder-like comments. I wanted to see only comments related to the current level. I started making "something" with fractal comments. This "something" was a project discussion platform. But it turned out that even I myself don't use it, and the idea of fractal comments stuck there unused. And recently it dawned on me that it may be a conversation with yourself — thinking, brainstorming, taking notes, writing. So made this kind of cork/whiteboard, where one can dive into the subject and, being in the flow, write and see only related notes and rearrange them later. I'm trying to make it flawless and add keyboard shortcuts where it's possible (Ctr+Enter to submit idea, drag-and-drop to rearrange, Esc to jump level up). So finally I've made a tool that I use myself and will update it gradually (sorting, touch devices, ex/import (json, text), boards, more navigation with keyboard and other stuff, and login).

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Actual performance

130points
36comments
Made the leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: notes · Missing: mac, agents, macos
83%83% 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: started · Missing: supports, reddit linkedin, podcasting
71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, friendly · Missing: plus, intuitive, reviews
47%47% 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
14%14% 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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