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Code only says what it does

https://brooker.co.za/blog/2020/06/23/code.html
1•logicprog•2m ago•0 comments

The success of 'natural language programming'

https://brooker.co.za/blog/2025/12/16/natural-language.html
1•logicprog•3m ago•0 comments

The Scriptovision Super Micro Script video titler is almost a home computer

http://oldvcr.blogspot.com/2026/02/the-scriptovision-super-micro-script.html
1•todsacerdoti•3m ago•0 comments

Discovering the "original" iPhone from 1995 [video]

https://www.youtube.com/watch?v=7cip9w-UxIc
1•fortran77•4m ago•0 comments

Psychometric Comparability of LLM-Based Digital Twins

https://arxiv.org/abs/2601.14264
1•PaulHoule•6m ago•0 comments

SidePop – track revenue, costs, and overall business health in one place

https://www.sidepop.io
1•ecaglar•8m ago•1 comments

The Other Markov's Inequality

https://www.ethanepperly.com/index.php/2026/01/16/the-other-markovs-inequality/
1•tzury•10m ago•0 comments

The Cascading Effects of Repackaged APIs [pdf]

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6055034
1•Tejas_dmg•12m ago•0 comments

Lightweight and extensible compatibility layer between dataframe libraries

https://narwhals-dev.github.io/narwhals/
1•kermatt•14m ago•0 comments

Haskell for all: Beyond agentic coding

https://haskellforall.com/2026/02/beyond-agentic-coding
2•RebelPotato•18m ago•0 comments

Dorsey's Block cutting up to 10% of staff

https://www.reuters.com/business/dorseys-block-cutting-up-10-staff-bloomberg-news-reports-2026-02...
1•dev_tty01•21m ago•0 comments

Show HN: Freenet Lives – Real-Time Decentralized Apps at Scale [video]

https://www.youtube.com/watch?v=3SxNBz1VTE0
1•sanity•22m ago•1 comments

In the AI age, 'slow and steady' doesn't win

https://www.semafor.com/article/01/30/2026/in-the-ai-age-slow-and-steady-is-on-the-outs
1•mooreds•30m ago•1 comments

Administration won't let student deported to Honduras return

https://www.reuters.com/world/us/trump-administration-wont-let-student-deported-honduras-return-2...
1•petethomas•30m ago•0 comments

How were the NIST ECDSA curve parameters generated? (2023)

https://saweis.net/posts/nist-curve-seed-origins.html
2•mooreds•30m ago•0 comments

AI, networks and Mechanical Turks (2025)

https://www.ben-evans.com/benedictevans/2025/11/23/ai-networks-and-mechanical-turks
1•mooreds•31m ago•0 comments

Goto Considered Awesome [video]

https://www.youtube.com/watch?v=1UKVEUGEk6Y
1•linkdd•33m ago•0 comments

Show HN: I Built a Free AI LinkedIn Carousel Generator

https://carousel-ai.intellisell.ai/
1•troyethaniel•35m ago•0 comments

Implementing Auto Tiling with Just 5 Tiles

https://www.kyledunbar.dev/2026/02/05/Implementing-auto-tiling-with-just-5-tiles.html
1•todsacerdoti•36m ago•0 comments

Open Challange (Get all Universities involved

https://x.com/i/grok/share/3513b9001b8445e49e4795c93bcb1855
1•rwilliamspbgops•36m ago•0 comments

Apple Tried to Tamper Proof AirTag 2 Speakers – I Broke It [video]

https://www.youtube.com/watch?v=QLK6ixQpQsQ
2•gnabgib•38m ago•0 comments

Show HN: Isolating AI-generated code from human code | Vibe as a Code

https://www.npmjs.com/package/@gace/vaac
1•bstrama•40m ago•0 comments

Show HN: More beautiful and usable Hacker News

https://twitter.com/shivamhwp/status/2020125417995436090
3•shivamhwp•40m ago•0 comments

Toledo Derailment Rescue [video]

https://www.youtube.com/watch?v=wPHh5yHxkfU
1•samsolomon•42m ago•0 comments

War Department Cuts Ties with Harvard University

https://www.war.gov/News/News-Stories/Article/Article/4399812/war-department-cuts-ties-with-harva...
9•geox•46m ago•1 comments

Show HN: LocalGPT – A local-first AI assistant in Rust with persistent memory

https://github.com/localgpt-app/localgpt
2•yi_wang•47m ago•0 comments

A Bid-Based NFT Advertising Grid

https://bidsabillion.com/
1•chainbuilder•50m ago•1 comments

AI readability score for your documentation

https://docsalot.dev/tools/docsagent-score
1•fazkan•58m ago•0 comments

NASA Study: Non-Biologic Processes Don't Explain Mars Organics

https://science.nasa.gov/blogs/science-news/2026/02/06/nasa-study-non-biologic-processes-dont-ful...
3•bediger4000•1h ago•2 comments

I inhaled traffic fumes to find out where air pollution goes in my body

https://www.bbc.com/news/articles/c74w48d8epgo
2•dabinat•1h 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."