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What is left when the programmer is not human?
Article URL: https://vithushansylvester.com/writing/what-is-left-when-the-programmer-is-not-human
Comments URL: https://news.ycombinator.com/item?id=50431010
Points: 1
# Comments: 0
Parking-app convenience fees in 312 U.S. cities (median $0.35 per session)
Article URL: https://parkgraph.com/parking-app-fees
Comments URL: https://news.ycombinator.com/item?id=50430991
Points: 1
# Comments: 0
Machines: A History of Electronic Music by Jean-Michel Jarre
Article URL: https://www.thamesandhudson.com/products/machines
Comments URL: https://news.ycombinator.com/item?id=50430987
Points: 2
# Comments: 0
G-harness-evals: Which agent harness does tasks best, for the least cost?
Article URL: https://github.com/garrytan/g-harness-evals
Comments URL: https://news.ycombinator.com/item?id=50430971
Points: 2
# Comments: 0
Speeding up Quantum Espresso by 36x using Claude Fable 5.2
Article URL: https://discoveredmaterials.com/research/accelerating-quantum-espresso/
Comments URL: https://news.ycombinator.com/item?id=50430969
Points: 1
# Comments: 0
Safely scaling multi-agent teams with Claude Fable 5.2nd PostgreSQL
Article URL: https://claude.dev/blog/safely-scaling-multi-agent-teams-with-fable-5-2/
Comments URL: https://news.ycombinator.com/item?id=50430968
Points: 1
# Comments: 0
AI is the last of capitalism's distraction
Article URL: https://fredrocha.net/2026/10/20/ai-is-the-last-of-capitalisms-distraction/
Comments URL: https://news.ycombinator.com/item?id=50430940
Points: 1
# Comments: 0
Show HN: Markolis – Market microstructure and MCP server for AI agents
Article URL: https://www.markolis.com
Comments URL: https://news.ycombinator.com/item?id=50430916
Points: 1
# Comments: 0
A redacted DeepSeek conversation archive: 500K+ words across 742 turns
Article URL: https://huggingface.co/datasets/PINUS8/deepseek-long-thread-redacted
Comments URL: https://news.ycombinator.com/item?id=50430895
Points: 1
# Comments: 0
AZ-PUNK.com Website for local artists and fans from across the country
Article URL: https://az-punk.com/
Comments URL: https://news.ycombinator.com/item?id=50430889
Points: 1
# Comments: 1
The Guardian view on the British Library: don’t privatise the reading rooms | Editorial
Cybercriminals are to blame for the current crisis. But renting out study space will not lead to recovery
It holds two copies of Magna Carta, the charter that set limits on royal power in 1215. It has the sole surviving manuscript of the Anglo-Saxon epic Beowulf and notebooks by some of the most beloved authors in the English language: Jane Austen, William Blake, Virginia Woolf. Also in the British Library’s red-brick London building is the original, illustrated version of Alice’s Adventures in Wonderland – given as an early Christmas gift to Alice Liddell in 1864. On handwritten drafts of Wilfred Owen’s tragic poem Dulce et Decorum est, visitors can see suggestions made by his friend Siegfried Sassoon.
But neither display cases filled with treasures such as these nor vast digital archives, basement storage rooms, six cafes and a shop have been sufficient to arm the library against a sea of troubles that first threatened it three years ago, when hackers raided its computers for personal data and demanded a £600,000 ransom. Its long-serving chief executive, Roly Keating, took the decision to step down once the worst of the cyber-attack – one of the most serious in the UK’s history – had been dealt with. His replacement, Rebecca Lawrence, lasted less than a year before resigning in the middle of a strike over pay. Now, a new row has broken out over plans to rent out three of the library’s reading rooms and outsource security.
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Show HN: A visualization map of the funding of public companies
I made this webapp (vibecoded) with Meta's AI models during the Meta AI hackathon that just ended (Oct 26-Nov 4). So far it contains public 33,000 companies, and 100k+ 'flows'. A company X has a flow to another company Y if X funds Y or owns its shares, or vice versa.
It collects business data from SEC's EDGAR (Electronic Data Gathering, Analysis, and Retrieval), Wikidata company lists, and other regional company indices of Europe and Asia to build a database of companies to display on the map. SEC provides financial information liberally, while for the European counterpart I didn't find an equivalent yet.
I geocoded the business addresses using OpenStreetMap's Nominatim (hopefully that doesn't break their terms somehow; I love OSM). But it was slow... (1 API call = 1 address translation per second; I did not have the time/space to download the whole Nominatim database.)
There's also this amazing database from OpenAlex, where you can see billions of connections between funders and research institutions, authors, and OpenAccess papers. It's a continuation of Microsoft Academic Graph, which was discontinued in 2021. It's a goldmine for studying study financing / grants, and their API allowances are great, and very clear. I made that a part of the app too (just on a small scale).
You can increase the sliders on the top right to increase the scope of data shown. It needs to be raised to show the university grant data (will fix it soon, AI kept failing on this).
It was pretty fun building it. There are amazing APIs for this type of work online (free), like from the SEC, Wikidata, some European company indices, though seemingly the hardest part was getting AI to read the API terms and rate limit the API calls interestingly. I think the most fun I had was because I used a non-Claude(?) model, I had to continuously reprompt things that it did not get right intuitively on its own, but I had the sense to know what was broken, so it felt like the fun of programming.
I'd say this is my first vibecoded project so maybe that fun dies away soon after.
I want to incorporate private company information, donations, or big individual share holders' data into the charts too. I think it'd be cool to see who are some of the individual owners of large portions of the public companies. I'm not sure how to source the info for the private companies yet though, I'll look into it later.
Again, you can search for companies by their name, address, Stock Exchange ticker, etc. Right now the data is quite static, but I want to make it dynamic eventually with daily or bi-weekly data ingestion for the latest data.
As it stands, it's just a pretty visualization, with lots of company data still missing, but nonetheless it's kind of fun to explore.
There's a demo in the GitHub; if anyone has thoughts or any advice, I'd love to read them. Thanks!
Comments URL: https://news.ycombinator.com/item?id=50428274
Points: 1
# Comments: 0
