BookNotion – Save Kindle highlights to Notion for free

Hacker News

Hi, I'm Sho, a BookNotion developer. I often listen to podcasts, and I often hear my favorite podcasters quoting phrases from books they have read, and I thought to myself, "I wish I could do that too. " BookNotion is an iOS app that allows you to save the phrases you have highlighted on your Kindle into Notion just by using the Kindle app. We are releasing it in Japan first, and it has been downloaded more than 15,000 times in a few months since its beta release, and users like it very much. It's free, so give it a try!

Visit product View on Hacker NewsJan 24, 2023

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Actual performance

1points

Did not reach leaderboard

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

66%66% predicted probability of success on TrustMRR, 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: user, using · Missing: mac, agents, macos

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: 000, io · Missing: https docs, excited, just released

50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

33%33% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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