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Blogs.hn – Tiny Blog Directory

Hacker News

Blogs.hn – Tiny Blog Directory

It's been a while since I shared my blog directory... In proper HN fashion, the site is open-source and requires no JS! There's instructions on how to add/edit a blog on the Github README. [0] https://github.com/surprisetalk/blogs.hn Note that your blog might appear in blogs.json, but not on the site! Right now I'm using the following code to filter out blogs. Your blog might appear if you add more metadata: if ( 3 > 0 + !!blog.title + (blog.desc.length > 40) + !!blog.about + !!blog.now + !!blog.feed + 3 * (blog.hn.length > 1) ) continue; As I mention on the /about page, if you don't already have a blog, I recently made a minimal static site generator! It's easier than ever to begin your writing journey :) [1] https://github.com/surprisetalk/worstpress

Visit product View on Hacker NewsMay 27, 2025

Actual performance

2points

1comments

Did not reach leaderboard

Launch Intel predictions

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

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: tiny, using, code · Missing: mac, agents, macos

35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

32%32% 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

23%23% 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

20%20% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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