A better way to read blogs

Hacker News

Hey HN, maker here. It was a serious 4-6 months of effort to build this. I have never poured as much love, attention and detail into a project before. So I really appreciate you having a looksie! The homepage has a fresh list of articles every hour and is open to all. Still, I recommend signing up so you can add stuff to your reading list and follow blogs. My initial plan was to monetize this with subtle ads, but that didn't work out as the traffic to the site isn't nearly enough for that. That said, I have a fair bit invested in this and I need your help figuring out a way to make this sustainability profitable. If this was yours, what bits would you charge for? Are there any features I could add to a "pro" subscription? Appreciate any help and support!

Visit product View on Hacker NewsSep 6, 2023

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Launch Intel predictions

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

84%84% 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: open · Missing: mac, agents, macos

74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

51%51% 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: month, way, profitable · Missing: mobile apps, ios, personal

44%44% 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

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

Acquire.comPre-revenue stage for this audience · Strong signals: profit, profitable, subscription · Missing: arr, mrr, revenue

25%25% 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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