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Encycla – like GitHub for knowledge

Hacker News

Encycla – like GitHub for knowledge

Hi HN! There's been lots of note-taking / personal knowledge tools developed in the past few years. But there's a big difference between working with people you already know and collaborating with anyone on the internet. Right now, if you're interested in, say DIY air purifiers[1], you could throw up a document or webpage. But there's no good way for people you don't already know to work on it, to make it their own. If you're writing software, the answer is obvious: publish a Git repository on GitHub/GitLab. With Encycla, we're building a sort of "GitHub for knowledge": a place where you can create simple, topical webpages that others can fork and asynchronously push & pull changes from (without knowing about Git or anything technical). On the backend, every page on Encycla is a git repository containing Markdown that you can clone, edit independently of the Encycla website, push to other services (such as GitHub, GitLab), etc. For instance, here's a page on Encycla: https://encycla.com/KF94 and the underlying git repository pushed to GitHub: https://github.com/philipn/KF94 1. https://encycla.com/Corsi-Rosenthal_Cube

Visit product View on Hacker NewsJan 28, 2022

Actual performance

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

70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

11%11% 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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