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sab0tajue

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I scraped every **Show HN** post from May 2025 to May 2026 that crossed **200 points** and ran a quick analysis. There were 334 of them. Here is what landed.

Top 15 Show HN posts of the year

Rank Points Comments Title
1 3346 965 Gemini Pro 3 imagines the HN front page 10 years from now
2 1557 363 Jmail – Google Suite for Epstein files
3 1539 197 I'm an airline pilot – I built interactive graphs/globes of my flights
4 1325 241 isometric.nyc – giant isometric pixel art map of NYC
5 1278 209 I built a synth for my daughter
6 1184 333 A store that generates products from anything you type in search
7 1145 144 I spent 6 years building a ridiculous wooden pixel display
8 1094 144 Term.everything – Run any GUI app in the terminal
9 1032 323 I recreated Windows XP as my portfolio
10 1030 263 Tinder but it's only pictures of my wife and I can only swipe right
11 1003 361 Kitten TTS – 25MB CPU-Only, Open-Source TTS Model
12 964 187 A game where you build a GPU
13 958 495 Ten years of running every day, visualized
14 935 234 Draw a fish and watch it swim with the others
15 915 134 I built a tiny LLM to demystify how language models work

Almost all of them are personal projects from individual builders. No SaaS launches in the top 15. No corporate product reveals. Just hobbyists with a story.

github.com is the dominant domain on Show HN

Domain Posts that crossed 200 pts Avg points
github.com 134 334
huggingface.co 2 471
gitlab.com 2 330

134 out of 334 successful Show HN posts pointed straight at a github.com URL — about 40%. No fancy landing page, no marketing site, just README.md doing the selling.

If you are about to ship a Show HN, the data says you can absolutely point at the repo. A polished landing page will not save a weak idea, and a strong README will not be punished for being on github.com.

What were the top github.com Show HN's actually about?

  • Term.everything – run any GUI app in the terminal (1094 pts)
  • Kitten TTS – 25MB CPU-only open-source TTS model (1003 pts)
  • A tiny LLM to demystify how language models work (915 pts)
  • Workout.cool – open-source fitness coaching platform (827 pts)
  • Needle – distilling Gemini tool calling into a 26M model (751 pts)
  • Unregistrydocker push directly to servers without a registry (726 pts)
  • ChartGPU – WebGPU-powered charting library (670 pts)
  • Whispering – open-source local-first dictation (591 pts)
  • WhatCable – tiny menu bar app for inspecting USB-C cables (566 pts)

The pattern is clear: small, single-purpose, often local-first, often open-source. Tools developers might actually use tomorrow.

Most-mentioned keywords in titles

Keyword Posts
AI 20
open-source / open source 22
browser 17
LLM 11
Claude 10
Rust 10
macOS 10
agent 8
MCP 3

AI/LLM/Claude/agent show up in roughly 50 of the 334 top posts. The "open-source" framing is more popular than the platform-specific ones (macOS, Rust). The browser is having a moment, with 17 posts about browser-related projects.

Aggregates

  • 334 Show HN posts crossed 200 points
  • Total: 132,288 points and 44,998 comments
  • 325 unique authors (most made it to the leaderboard once)
  • 187 unique domains
  • Median Engagement Score: 70 / 100

Reproduce on your own data

I packaged the analysis as an Apify Actor — search the entire HN archive by query, tags, or date range, or just capture the live front page.

Hacker News Insights on Apify Store

Source code (MIT): github.com/sab0tajue/hackernews-insights. Engagement Score formula is in src/insights.py, around 30 lines.

Tell me what other slices you would like to see. Show HN of the last 3 months? Specific keyword cohorts? Drop a comment and I will run it.

Related: I previously analyzed 200 popular Python repos on GitHub and the top 100 PyPI packages for supply-chain risk.

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