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Show HN: I built a RAG engine to search Singaporean laws

https://github.com/adityaprasad-sudo/Explore-Singapore
1•ambitious_potat•2m ago•0 comments

Scams, Fraud, and Fake Apps: How to Protect Your Money in a Mobile-First Economy

https://blog.afrowallet.co/en_GB/tiers-app/scams-fraud-and-fake-apps-in-africa
1•jonatask•2m ago•0 comments

Porting Doom to My WebAssembly VM

https://irreducible.io/blog/porting-doom-to-wasm/
1•irreducible•3m ago•0 comments

Cognitive Style and Visual Attention in Multimodal Museum Exhibitions

https://www.mdpi.com/2075-5309/15/16/2968
1•rbanffy•4m ago•0 comments

Full-Blown Cross-Assembler in a Bash Script

https://hackaday.com/2026/02/06/full-blown-cross-assembler-in-a-bash-script/
1•grajmanu•9m ago•0 comments

Logic Puzzles: Why the Liar Is the Helpful One

https://blog.szczepan.org/blog/knights-and-knaves/
1•wasabi991011•21m ago•0 comments

Optical Combs Help Radio Telescopes Work Together

https://hackaday.com/2026/02/03/optical-combs-help-radio-telescopes-work-together/
2•toomuchtodo•26m ago•1 comments

Show HN: Myanon – fast, deterministic MySQL dump anonymizer

https://github.com/ppomes/myanon
1•pierrepomes•32m ago•0 comments

The Tao of Programming

http://www.canonical.org/~kragen/tao-of-programming.html
1•alexjplant•33m ago•0 comments

Forcing Rust: How Big Tech Lobbied the Government into a Language Mandate

https://medium.com/@ognian.milanov/forcing-rust-how-big-tech-lobbied-the-government-into-a-langua...
1•akagusu•33m ago•0 comments

PanelBench: We evaluated Cursor's Visual Editor on 89 test cases. 43 fail

https://www.tryinspector.com/blog/code-first-design-tools
2•quentinrl•35m ago•2 comments

Can You Draw Every Flag in PowerPoint? (Part 2) [video]

https://www.youtube.com/watch?v=BztF7MODsKI
1•fgclue•41m ago•0 comments

Show HN: MCP-baepsae – MCP server for iOS Simulator automation

https://github.com/oozoofrog/mcp-baepsae
1•oozoofrog•44m ago•0 comments

Make Trust Irrelevant: A Gamer's Take on Agentic AI Safety

https://github.com/Deso-PK/make-trust-irrelevant
4•DesoPK•48m ago•0 comments

Show HN: Sem – Semantic diffs and patches for Git

https://ataraxy-labs.github.io/sem/
1•rs545837•50m ago•1 comments

Hello world does not compile

https://github.com/anthropics/claudes-c-compiler/issues/1
33•mfiguiere•55m ago•18 comments

Show HN: ZigZag – A Bubble Tea-Inspired TUI Framework for Zig

https://github.com/meszmate/zigzag
3•meszmate•58m ago•0 comments

Metaphor+Metonymy: "To love that well which thou must leave ere long"(Sonnet73)

https://www.huckgutman.com/blog-1/shakespeare-sonnet-73
1•gsf_emergency_6•1h ago•0 comments

Show HN: Django N+1 Queries Checker

https://github.com/richardhapb/django-check
1•richardhapb•1h ago•1 comments

Emacs-tramp-RPC: High-performance TRAMP back end using JSON-RPC instead of shell

https://github.com/ArthurHeymans/emacs-tramp-rpc
1•todsacerdoti•1h ago•0 comments

Protocol Validation with Affine MPST in Rust

https://hibanaworks.dev
1•o8vm•1h ago•1 comments

Female Asian Elephant Calf Born at the Smithsonian National Zoo

https://www.si.edu/newsdesk/releases/female-asian-elephant-calf-born-smithsonians-national-zoo-an...
4•gmays•1h ago•0 comments

Show HN: Zest – A hands-on simulator for Staff+ system design scenarios

https://staff-engineering-simulator-880284904082.us-west1.run.app/
1•chanip0114•1h ago•1 comments

Show HN: DeSync – Decentralized Economic Realm with Blockchain-Based Governance

https://github.com/MelzLabs/DeSync
1•0xUnavailable•1h ago•0 comments

Automatic Programming Returns

https://cyber-omelette.com/posts/the-abstraction-rises.html
1•benrules2•1h ago•1 comments

Why Are There Still So Many Jobs? The History and Future of Workplace Automation [pdf]

https://economics.mit.edu/sites/default/files/inline-files/Why%20Are%20there%20Still%20So%20Many%...
2•oidar•1h ago•0 comments

The Search Engine Map

https://www.searchenginemap.com
1•cratermoon•1h ago•0 comments

Show HN: Souls.directory – SOUL.md templates for AI agent personalities

https://souls.directory
1•thedaviddias•1h ago•0 comments

Real-Time ETL for Enterprise-Grade Data Integration

https://tabsdata.com
1•teleforce•1h ago•0 comments

Economics Puzzle Leads to a New Understanding of a Fundamental Law of Physics

https://www.caltech.edu/about/news/economics-puzzle-leads-to-a-new-understanding-of-a-fundamental...
3•geox•1h ago•1 comments
Open in hackernews

USCIS will weight H-1B lottery by salary starting Feb 2026

https://theh1brecords.substack.com/p/analysis-of-517874-petitions-reveals
10•codebyaditya•2w ago

Comments

codebyaditya•2w ago
Author here.

Quick summary of probability shifts under the weighted system:

  Level I ($80K median):  -57% selection probability
  Level II ($103K median): -14%
  Level III ($135K median): +29%
  Level IV ($158K median): +73%
The counterintuitive finding: product companies (direct employers) have 22% Level I concentration vs 7% for staffing firms. The rule designed to stop "lottery abuse" hits direct employers 3x harder.

Data source: DOL LCA disclosure data. Happy to discuss methodology.

square_usual•2w ago
> The rule designed to stop "lottery abuse" hits direct employers 3x harder.

To prove this, you need to compute the total numbers and not just proportion. If 22% of the direct employees are Level 1, but there's only 300 direct level 1 filings total, the absolute numbers are dwarfed by the drop in probability of the staffing firms.

codebyaditya•2w ago
Excellent point. My analysis calculated Level I concentration within each employer type but not absolute volumes.

You're correct that if staffing firms file significantly more total applications, their absolute number of affected Level I positions could exceed product companies despite lower concentration.

To properly claim "3x harder hit," I'd need to show either: 1. Total Level I applications by employer type, or 2. Total estimated selection losses by employer type

Without those absolute numbers, the "3x harder" claim overstates what the data shows. The accurate claim is that product companies have 3x higher Level I concentration - but that's not the same as 3x more impact.

This is a good catch. The proportions tell us about hiring patterns but not total system impact.

RGamma•2w ago
How many rs in raspberry? Think hard.
graysonk•2w ago
It’s like you’re trying to fill out a bingo card of “obviously written by ai” markers
jawilson2•2w ago
Good lord, is there a way to block someone on HN? What slop...
codebyaditya•2w ago
Hey, I didn't generate everything by AI but only to frame the words since i was busy with something else. I'll make sure from now on such mistakes will never happen again.

sincerely.

codebyaditya•2w ago
Hey, lemme apologize first. I indeed generated this above comment by AI because I was extremely busy with something else and didn't have time to respond but i'll make sure this will not happen again.

sincerely.