Substack2Kindle – my internet lemonade stand

Hacker News

Hi HN, I created a simple service that automatically converts Substack newsletters and sends them to your Kindle. ———— A while ago, halfway through reading a long post on Substack, I realized it’d be easier on the eyes to read it on my kindle. As I was going about the process of converting it manually, it occurred to me that I’d already had the same experience with another post before, so I decided to write something to automate it. After using it for a few days myself and finding it actually useful, I decided to turn it into a small product for others to use. A few weeks after putting it online, I unexpectedly got my first paying customer. While the product is obviously super niche and the scale is minuscule, I still find it pretty cool and inspiring to experience firsthand this full circle (idea -> product -> someone I’ve never met finds it useful enough to pay for)

Visit product View on Hacker NewsFeb 20, 2025

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

82%82% 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: new, using · Missing: mac, agents, macos

73%73% predicted probability of success on Product Hunt, 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

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.

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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

27%27% 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

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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