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The Rise of Spec Driven Development

https://www.dbreunig.com/2026/02/06/the-rise-of-spec-driven-development.html
1•Brajeshwar•48s ago•0 comments

The first good Raspberry Pi Laptop

https://www.jeffgeerling.com/blog/2026/the-first-good-raspberry-pi-laptop/
1•Brajeshwar•55s ago•0 comments

Seas to Rise Around the World – But Not in Greenland

https://e360.yale.edu/digest/greenland-sea-levels-fall
1•Brajeshwar•1m ago•0 comments

Will Future Generations Think We're Gross?

https://chillphysicsenjoyer.substack.com/p/will-future-generations-think-were
1•crescit_eundo•4m ago•0 comments

Kernel Key Retention Service

https://www.kernel.org/doc/html/latest/security/keys/core.html
1•networked•4m ago•0 comments

State Department will delete Xitter posts from before Trump returned to office

https://www.npr.org/2026/02/07/nx-s1-5704785/state-department-trump-posts-x
1•righthand•7m ago•0 comments

Show HN: Verifiable server roundtrip demo for a decision interruption system

https://github.com/veeduzyl-hue/decision-assistant-roundtrip-demo
1•veeduzyl•8m ago•0 comments

Impl Rust – Avro IDL Tool in Rust via Antlr

https://www.youtube.com/watch?v=vmKvw73V394
1•todsacerdoti•8m ago•0 comments

Stories from 25 Years of Software Development

https://susam.net/twenty-five-years-of-computing.html
2•vinhnx•9m ago•0 comments

minikeyvalue

https://github.com/commaai/minikeyvalue/tree/prod
3•tosh•13m ago•0 comments

Neomacs: GPU-accelerated Emacs with inline video, WebKit, and terminal via wgpu

https://github.com/eval-exec/neomacs
1•evalexec•18m ago•0 comments

Show HN: Moli P2P – An ephemeral, serverless image gallery (Rust and WebRTC)

https://moli-green.is/
2•ShinyaKoyano•22m ago•1 comments

How I grow my X presence?

https://www.reddit.com/r/GrowthHacking/s/UEc8pAl61b
2•m00dy•24m ago•0 comments

What's the cost of the most expensive Super Bowl ad slot?

https://ballparkguess.com/?id=5b98b1d3-5887-47b9-8a92-43be2ced674b
1•bkls•25m ago•0 comments

What if you just did a startup instead?

https://alexaraki.substack.com/p/what-if-you-just-did-a-startup
3•okaywriting•31m ago•0 comments

Hacking up your own shell completion (2020)

https://www.feltrac.co/environment/2020/01/18/build-your-own-shell-completion.html
2•todsacerdoti•34m ago•0 comments

Show HN: Gorse 0.5 – Open-source recommender system with visual workflow editor

https://github.com/gorse-io/gorse
1•zhenghaoz•35m ago•0 comments

GLM-OCR: Accurate × Fast × Comprehensive

https://github.com/zai-org/GLM-OCR
1•ms7892•36m ago•0 comments

Local Agent Bench: Test 11 small LLMs on tool-calling judgment, on CPU, no GPU

https://github.com/MikeVeerman/tool-calling-benchmark
1•MikeVeerman•36m ago•0 comments

Show HN: AboutMyProject – A public log for developer proof-of-work

https://aboutmyproject.com/
1•Raiplus•37m ago•0 comments

Expertise, AI and Work of Future [video]

https://www.youtube.com/watch?v=wsxWl9iT1XU
1•indiantinker•37m ago•0 comments

So Long to Cheap Books You Could Fit in Your Pocket

https://www.nytimes.com/2026/02/06/books/mass-market-paperback-books.html
3•pseudolus•38m ago•1 comments

PID Controller

https://en.wikipedia.org/wiki/Proportional%E2%80%93integral%E2%80%93derivative_controller
1•tosh•42m ago•0 comments

SpaceX Rocket Generates 100GW of Power, or 20% of US Electricity

https://twitter.com/AlecStapp/status/2019932764515234159
2•bkls•42m ago•0 comments

Kubernetes MCP Server

https://github.com/yindia/rootcause
1•yindia•43m ago•0 comments

I Built a Movie Recommendation Agent to Solve Movie Nights with My Wife

https://rokn.io/posts/building-movie-recommendation-agent
4•roknovosel•43m ago•0 comments

What were the first animals? The fierce sponge–jelly battle that just won't end

https://www.nature.com/articles/d41586-026-00238-z
2•beardyw•52m ago•0 comments

Sidestepping Evaluation Awareness and Anticipating Misalignment

https://alignment.openai.com/prod-evals/
1•taubek•52m ago•0 comments

OldMapsOnline

https://www.oldmapsonline.org/en
2•surprisetalk•54m ago•0 comments

What It's Like to Be a Worm

https://www.asimov.press/p/sentience
2•surprisetalk•54m ago•0 comments
Open in hackernews

Show HN: HN Sentiment API – I ranked tech CEOs by how much you hate them

https://docs.hnpulse.com
27•kingofsunnyvale•1mo ago
I built an API that extracts entities from Hacker News comments and classifies sentiment towards them as positive, negative, or neutral. It also classifies overall comment sentiment and assigns each entity a label (person, location, date, technology, organization, other).

505k+ comments, Oct 31 - Present.

Here's the leaderboard:

LOVED:

- Steve Jobs: 44% positive, 7% negative

- Linus Torvalds: 43% positive, 5% negative

- Gabe Newell: 34% positive, 8% negative

MID:

- Bill Gates: 22% positive, 8% negative

- Tim Cook: 15% positive, 30% negative

- Bezos: 12% positive, 18% negative

HATED:

- Zuckerberg: 4% positive, 35% negative

- Sam Altman: 8% positive, 38% negative

- Musk: 5% positive, 45% negative

Try it yourself:

# Who does HN talk about the most?

curl "https://api.hnpulse.com/entities?label=person&sort=mentions"

# What are people saying about remote work?

curl "https://api.hnpulse.com/comments?entity=remote work&limit=3"

# Is OpenAI's reputation getting worse?

curl "https://api.hnpulse.com/trends?entity=openai&bucket=day"

# What technology gets mentioned alongside SF?

curl "https://api.hnpulse.com/entities?co-occur=SF&label=technolog..."

Stack: Go, PostgreSQL, GPT-4o mini for entity extraction

Docs: https://docs.hnpulse.com API: https://api.hnpulse.com

Comments

dzrmb•1mo ago
Cool project! I'll definitely give it a go. Btw, did you use Elysia by any chance?
kingofsunnyvale•1mo ago
Thanks! I used Go + Chi, with Scalar for the docs. Elysia looks cool though - will look into it.
smt88•1mo ago
You're losing a lot from the binary here. Tim Cook isn't loved, sure, but it's rare to see someone rant about him the way they might about Bezos or Gates('s era of Microsoft)
verdverm•1mo ago
Very neat, I want to do something similar with my own comments, to see how I interact online and get the Ai to nudge me to better communications

Do you have a ballpark figure for how many tokens or dollars the analysis took?

kingofsunnyvale•1mo ago
It took 663,164,426 tokens and $238.21.
verdverm•1mo ago
that's... not terrible, thanks for sharing

I'd certainly be willing to spend a few hundred dollars organizing and annotating my collection of HN upvotes, chrome bookmarks, and social posts

gigatexal•1mo ago
What? DHH needs to be up there with Elon. SMH.
rsynnott•1mo ago
Kind of surprised about Bezos, though I suppose he lacks the extreme publicity seeking tendencies of the most-disliked.
kingofsunnyvale•1mo ago
Lately, I've been playing around with giving the API to claude-code to perform a sort of automated analysis of HN; this is what it says:

Analysis: Why Bezos Has Less Negative Sentiment

  The Numbers

  | Person     | Negative Sentiment | Total Mentions |
  |------------|--------------------|----------------|
  | Bezos      | 18-26%             | ~169           |
  | Zuckerberg | 35%                | ~201           |
  | Sam Altman | 38-43%             | ~501           |
  | Musk       | 39-45%             | ~1,119         |

  Bezos has roughly half the negative sentiment of the others AND is discussed 6-7x less than Musk.

  Your Hypothesis is Correct—But There's More

  1. Bezos is largely "retired" from controversy

  He stepped down as Amazon CEO in 2021. When he's mentioned on HN, it's mostly:
  - As a reference point for billionaire wealth alongside others ("Bezos/Musk/Ellison-type...")
  - Historical Amazon criticism ("Legacy of Bezos", "Day Two")
  - Generic billionaire tax discussions

  2. The others are making active, controversial decisions RIGHT NOW

  The co-occurrence data reveals what each person is discussed alongside:

  | Person     | Top Co-occurring Topics                           |
  |------------|---------------------------------------------------|
  | Musk       | Trump (61), Tesla, Twitter, DOGE (22), SpaceX     |
  | Altman     | OpenAI, ChatGPT, AGI, AI hype                     |
  | Zuckerberg | Facebook, Meta, Trump, censorship                 |
  | Bezos      | Amazon, Gates, other billionaires (as comparison) |

  3. Current actions generate current anger

  Looking at the negative comments:
  - Musk: "conman and liar", DOGE failures, political interference
  - Altman: "Scam Altman", AI resource hoarding, nonprofit betrayal
  - Zuckerberg: Censorship decisions, "kissing Trump admin's ring", Meta's social harm
  - Bezos: Mostly legacy Amazon issues or generic wealth criticism

  Conclusion

  It's not just that Bezos "seeks publicity less"—it's that he's not actively making decisions that affect the HN community. The others are:

  - Musk: Running Twitter/X (where many HN users are), advising Trump on government cuts
  - Altman: At the center of AI development that directly impacts tech workers
  - Zuckerberg: Making platform moderation decisions affecting global speech

  Bezos owns a newspaper and a space company but isn't making daily choices that intersect with tech workers' lives. He's transitioned from "active villain" to "historical reference."