Mu – A Micro App Platform

Hacker News

Hey all Sharing a new piece of work I've been doing with a friend. Mu is a new micro web app platform which enables building and sharing apps instantly with storage, auth and payments built in. Apps are single file, built in the browser and rendered as an iframe. They're "micro" because they're quite literally tiny single purpose utilities like a hackernews reader or old school guest book. It's mostly at this point something that scratches a personal itch. Making app development super simple and lightweight. Sort of like living GitHub gists. And trying to build a simpler, cleaner place to consume the web. Right now nothing more than a cool hack I'm sharing. Feedback obviously welcome. Cheers Asim

Visit product View on Hacker NewsAug 29, 2023

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Actual performance

73points

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

83%83% 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 · Missing: supports, reddit linkedin, podcasting

78%78% 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

61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews

59%59% 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

46%46% 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

18%18% 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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