Matrix-CRDT – real-time collaborative apps using Matrix as backend

Hacker News

Hi HN! Matrix-CRDT connects the worlds of Yjs [1] (a proven, high performance CRDT) with that of Matrix.org [2]. It started as an experiment, asking myself; can we store "state updates of a datastore" in Matrix instead of chat messages? Now, I'm convinced it's actually a really powerful combination to develop real-time, collaborative software. I'm using it for a new project and so far didn't have to write a backend yet. Matrix takes care of a lot of stuff: Authentication, E2EE, federation, hosting, etc. - so I can focus on the client. I love the ideas of Local First [3] software. Personally, I'm convinced the technologies in this ecosystem (CRDTs, etc) are really powerful and can do more to decentralize software than many web3 technologies that currently receive much of the hype. However, it's still early days, so I decided to open source parts that I think will be useful to others (I recently also shared SyncedStore [4]) [1] https://github.com/yjs/yjs [2] https://www.matrix.org [3] https://www.inkandswitch.com/local-first/ [4] https://www.syncedstore.org

Visit product View on Hacker NewsJan 18, 2022

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

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Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, 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 HuntUnlikely to reach the leaderboard · Strong signals: apps, new, using · Missing: mac, agents, macos

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

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

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

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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