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Read manga on E Ink readers with Kindle Comic Converter

Hacker News

Read manga on E Ink readers with Kindle Comic Converter

Hey everyone! I'm the current maintainer of KCC since 2023, thanks for using it! I’ve been reading manga on Kindle ever since I got the big 9.7” Kindle DX from 2010 using mangle, and upgraded to the even bigger 10.2” Kindle Scribe 2022 using KCC. KCC also supports Kobo and other eink ereaders. Here's a video of the results: https://www.youtube.com/watch?v=vAx8UfuJd9Y The biggest contributions I've made to KCC are: *added modern macOS support, removed homebrew requirement, sped up startup, etc... *ported code to run on native Apple silicon M1 chip and later for a 2x speed boost *fix Kindle Scribe image quality and conversion speed *automatically crop images to fill the screen if the image would normally leave a few pixels of margin. *page order and comicrack fixes, and tons of other small bugs *created a legacy Windows 7 build with 200 downloads… Enjoy using KCC and let me know if you have any questions!

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports, created · Missing: reddit linkedin, podcasting, latex
94%94% 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: mac, macos, apple · Missing: agents, agent, cursor
80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
46%46% 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 · Missing: plus, platform, intuitive
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: margin · Missing: arr, mrr, revenue
19%19% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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