Fr

Free developer-first OneNote alternative

Hacker News

Free developer-first OneNote alternative

Hey Everyone, been working on a note-taking app called janta (Just Another Note Taking App) the past few months. You can try it out at app.janta.dev (you will be redirected to app.janta.dev/canvas/temporary, which is the locally-stored whiteboard you can access) I felt limited with OneNote, Excalidraw, and other infinite-canvas style apps, so I built an alternative. You have access to code-editors, Desmos graphs, and rich text editors (SlateJS). This is because the canvas is designed in a way that allows web components to exist on the same layer as pen-strokes, so you can annotate code, circle points-of-inflection, and programmatically generate graphs using matplotlib.pyplot! This is a beta release, and feedback would be awesome!

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Actual performance

22points
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Made the leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, using, code · Missing: mac, agents, macos
87%87% 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.
Hacker NewsStrong engagement from HN community · Strong signals: exist, io · Missing: https docs, excited, just released
78%78% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, month, way · Missing: mobile apps, ios, personal
29%29% 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
17%17% 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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