Renote (Note-taking and collaboration app for iPad and Apple Pencil)

Hacker News

Hi HN! I’m Andrew, co-founder and designer at Renote. This is app which allows you to make notes with real-time collaboration. Perhaps, you might ask: «What? Another collaboration tool?» Well... yes, but not quiet. On the one hand — it is a very simple application. On the other — it has compelling features in its toolset: - Complete real-time collaboration; - Personal notepad for your notes, studies, and mood boards; - Document web streaming; - Write just like on paper with Apple Pencil; - Straightforward and intuitive interface; - Use objects (Image, Text, Video). We would be glad to see you as our user if you like this idea and use iPad and Pencil. We'd love to hear your feedback! Feel free to drop a comment or email me at an@renote.so

Visit product View on Hacker NewsMay 26, 2022

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apple, user, email · Missing: mac, agents, macos

93%93% 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: ide, io · Missing: https docs, excited, just released

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: intuitive, interface · Missing: plus, platform, reviews

61%61% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

53%53% predicted probability of success on Indie Hackers, 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 · 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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