I built a free service that resurfaces your Kindle highlights

Hacker News

I started this project because I felt like I was losing touch with the books I enjoy. Having physical books means you see them whenever you walk past them. When they're stuck in digital format, well, you need a different solution. I wanted to get some of my Kindle highlights emailed to me daily. So, I built QuoteUnquote.io ! I'm offering this for free, because I think it's cool and I don't want the project to die. Maybe one day, if there is enough interest, I will add a paid tier with other features. But today is not that day.

Visit product View on Hacker NewsFeb 17, 2025

Share card

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

62%62% 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 · Missing: plus, platform, intuitive

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

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

Indie HackersIH features products with proven revenue · Strong signals: started · Missing: supports, reddit linkedin, podcasting

49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: email, physical · Missing: mac, agents, macos

44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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

Incorrect prediction on native model

Similar products

QuoteUnquote49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Resurface Your Kindle highlights

Product Hunt+5

Kindle Higlights as a (Free) Service50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Kindle Higlights as a (Free) Service

Hacker News2

Readwise – Review and retain your Kindle highlights47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Readwise – Review and retain your Kindle highlights

Hacker News90

BookNotion – Save Kindle highlights to Notion for free42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

BookNotion – Save Kindle highlights to Notion for free

Hacker News1

Mrklt, Kindle-style highlights bookmarklet for the web46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mrklt, Kindle-style highlights bookmarklet for the web

Hacker News5

Kindle2Notion – Export Kindle Highlights35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An extension easy save your kindle highlights into Notion

Indie Hackers1apis

Download all your Kindle notes and highlights50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Download all your Kindle notes and highlights

Hacker News8

I built a free tool to clean up and export your Kindle highlights36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built a free tool to clean up and export your Kindle highlights

Hacker News1

Kindred - Read & share your Kindle highlights54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Kindred - Read & share your Kindle highlights

Hacker News3

Kindle Export22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Import Kindle Highlights into your Notion account for FREE

Indie Hackerscommitment-side-project

Browse all products Analyze your launch