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Simple pub/sub using WebSockets in Node.js

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Simple pub/sub using WebSockets in Node.js

I built this pubsub module because I wanted a simple solution that uses only node. Why did I want pubsub? I wanted to build a complex app but segregate it into microservices that work together through event messages. I also wanted to use this method instead of node's built-in clustering for multiple instances. I've been running it for a few weeks now with several messages per second bugfree. I plan to use this setup for future apps as it reduces complexity of the code and allows me to restart/update one part of the app without interrupting the other parts. I would love to receive feedback and suggestions on the code and features, and hope it can be useful to you also!

Visit productView on Hacker NewsDec 16, 2022
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: apps, using, code · Missing: mac, agents, macos
61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps · Missing: mobile apps, ios, personal
42%42% 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
39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% 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.

Incorrect prediction on native model

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