Mu

Mu – Building Blocks for Life

Hacker News

Mu – Building Blocks for Life

Hey all, Back again with something new. I'm working on Mu ( https://mu.xyz ), its a Micro app platform that contains a handful of useful apps I think of as the "building blocks for life". It's in no way a complete or exhaustive list but I wrote it for myself and am slowly iterating on it. The idea is to get away from the bloated and addictive/algorithmic based things we have today and just go with something simple. I'll probably add a couple more things based on user feedback. But that's essentially what I'm looking for now, a bit of feedback. Note some apps are geared towards a Muslim audience with prayer times, the Quran in english, etc. Oh and the code is open source for anyone who wants to run it themselves or contribute to it https://github.com/muxyz/mu Cheers Asim

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, user, new · Missing: mac, agents, macos
66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, ide · Missing: https docs, excited, just released
63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, way · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
33%33% 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
16%16% 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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