Oneboard, notes powered by OpenAI o1

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After 8 months of building, I'm excited to finally release Oneboard, a simple and powerful note-taking app. My goal was to create a tool that makes organizing thoughts effortless, without unnecessary distractions. Oneboard offers intuitive handwriting recognition, smart summaries, and seamless organization, all powered by OpenAI’s O1 model. The focus is on giving you a fast, reliable way to capture and refine your ideas without compromising privacy. I built this for anyone who loves taking notes and wants something lightweight, intelligent, and streamlined. Website: https://oneboard.framer.website Download: https://apps.apple.com/de/app/oneboard/id6474271576

Visit product View on Hacker NewsSep 18, 2024

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2points

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

82%82% 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: model, apple, apps · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist

67%67% 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: apps, month, way · 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 · Strong signals: intuitive · Missing: plus, platform, reviews

50%50% 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

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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