Mu – A community led app platform

Hacker News

Hey all Here’s another intro from another new startup. We could tell you how we’re going to change the world, but we’re going to leave that up to. Mu is an app platform for building and releasing apps instantly. No more crazy wait and approval times and no more build processes or big development repos. You app is one HTML file and that’s it. When we think about the tech industry one word comes to mind… greed. For your data, your time and your money. Mu is more zen. Our apps are small and focused. We aim for simplicity and non addictiveness, you want to complete a task and you get it done. No ads or dopamine hooks. Our developers are paid either via donations, app purchases or in app payments. By building an app in Mu you instantly get access to all this functionality. Mu is still very alpha, we have what you need to get started. Is it feature rich? Maybe not, but we want to build this with you and are looking for eager devs with the opportunity to work on something big. https://mu.xyz

Visit product View on Hacker NewsNov 14, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, new · Missing: mac, agents, macos

72%72% 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

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

62%62% 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 · Strong signals: apps · 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 · Missing: plus, intuitive, reviews

35%35% 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 · Strong signals: paid · 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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