Kindle Digest – Read Hacker News and Newsletters on Your Kindle

Hacker News

I was tired of spending too much time in front of screens and wanted to make better use of my Kindle, so I built something I needed and maybe you do too. Kindle Digest lets you enjoy Hacker News and your favorite newsletters right on your Kindle. It fetches the latest content, formats it for easy reading, and delivers it straight to your device. Features: - Hacker News Integration: Get stories and comments. - Newsletter Support: (Coming soon—will support RSS feeds or email parsing). - Customizable Delivery: Set how often you want to receive new content. - Easy Setup: Host it yourself using AWS Lambda or your own machine. I’d love to hear your feedback!

Visit product View on Hacker NewsOct 19, 2024

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Actual performance

6points

Did not reach leaderboard

Launch Intel predictions

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

74%74% 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, new, email · Missing: agents, macos, agent

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

AppSumoStrong fit for a featured deal · Strong signals: host, soon · Missing: plus, platform, intuitive

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

Hacker NewsMay not resonate with HN audience · Strong signals: hacker news, io · Missing: https docs, excited, just released

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

17%17% 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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