Aurelius – a local-first, distraction-free writing app

Hacker News

Hey HN! I've been working on yet another writing app called Aurelius ( https://aurelius.ink ). I built Aurelius primarily for myself and I've been writing with it everyday. I thought I'll share this here. Here are the features: - Local-first, but can sync data between different browsers or devices without signup. Sync is also end-to-end encrypted. - Progressive web app and offline functionality. - Rich-text editing with support for Markdown shortcuts. - Keyboard shortcuts for most actions in the app. - Writing sessions timer for tracking your daily writing. - Focus-mode which hides almost everything except the editor. - Music player that plays focus music like lofi, chillhop, etc. You can also use a Youtube video or playlist of your choice. Give it a try and let me know your thoughts. Thank you!

Visit product View on Hacker NewsOct 13, 2024

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

85%85% 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

64%64% predicted probability of success on Indie Hackers, 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

52%52% 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: video · Missing: mobile apps, ios, personal

50%50% 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

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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