Supernotes 2 – a fast, Markdown notes app for journalling and sharing

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Hi HN – we first launched Supernotes[1] to HN in April 2020, and since then Tobias and I (it's just the two of us) have put in the work to make what we hope is an amazing note-taking app. Although the note-taking / personal knowledge management landscape is incredibly competitive at the moment (with lots of great apps adding great new features every day), we think that with the newly released Supernotes 2 we're keeping pace and delivering a unique and satisfying knowledge management experience. Here's the combination of features that make us stand out: - a powerful markdown-based notecard system that is simple/beautiful but also super flexible - a WYSIWYM[2] editor that keeps markdown marks for explicitness while still giving you a preview of what the content looks like when rendered - eschewing a folder system in favor of multi-parent nested hierarchies - unique collaboration system that is optimized for granular sharing between individuals rather than "all-in" sharing amongst teams or specific groups - notes that can be linked both with inline bidirectional links or the aforementioned hierarchies, allowing you to build (and experience with our 2D and 3D graph views) a robust graph of your knowledge There are of course tons of other cool features that are included as well, but those are the highlights. If any of that sounds interesting to you, you can sign up here[3] – we would love to hear any feedback you might have! [1] https://supernotes.app/?ref=hn [2] https://en.wikipedia.org/wiki/WYSIWYM [3] https://my.supernotes.app/entry?signup=1&ref=hn

Visit product View on Hacker NewsFeb 23, 2022

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

73%73% 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

69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: personal, apps · Missing: mobile apps, ios, 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

49%49% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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