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A Website to Turn Your Apple Notes into Blogs

Hacker News

A Website to Turn Your Apple Notes into Blogs

Hi HN, I’m an indie hacker who quit my job as a software engineer at Microsoft in early October to start my own business. Like many others, I really like Apple Notes. I got inspired by https://montaigne.io , a service that creates websites, blogs, or portfolios using Apple Notes. I liked the idea, but the websites looked too plain for me. So, the first product I shipped after quitting is https://quotion.co – a website that turns your Apple Notes into beautiful blogs. The best part? You get custom domain, customizable branding and web analytics for free, while Montaigne charges $12 per month. I hope Quotion will be as helpful to you as it has been for me. Please let me know if you have any questions or feedback. Qing

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Actual performance

41points
37comments
Made the leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
90%90% 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: apple, using, notes · Missing: mac, agents, macos
86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
74%74% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: ios, month · Missing: mobile apps, personal, entrepreneurs
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
26%26% 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
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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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