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Large tech companies don't need heroes

https://www.seangoedecke.com/heroism/
1•medbar•1m ago•0 comments

Backing up all the little things with a Pi5

https://alexlance.blog/nas.html
1•alance•1m ago•1 comments

Game of Trees (Got)

https://www.gameoftrees.org/
1•akagusu•1m ago•1 comments

Human Systems Research Submolt

https://www.moltbook.com/m/humansystems
1•cl42•2m ago•0 comments

The Threads Algorithm Loves Rage Bait

https://blog.popey.com/2026/02/the-threads-algorithm-loves-rage-bait/
1•MBCook•4m ago•0 comments

Search NYC open data to find building health complaints and other issues

https://www.nycbuildingcheck.com/
1•aej11•8m ago•0 comments

Michael Pollan Says Humanity Is About to Undergo a Revolutionary Change

https://www.nytimes.com/2026/02/07/magazine/michael-pollan-interview.html
2•lxm•9m ago•0 comments

Show HN: Grovia – Long-Range Greenhouse Monitoring System

https://github.com/benb0jangles/Remote-greenhouse-monitor
1•benbojangles•13m ago•1 comments

Ask HN: The Coming Class War

1•fud101•14m ago•1 comments

Mind the GAAP Again

https://blog.dshr.org/2026/02/mind-gaap-again.html
1•gmays•15m ago•0 comments

The Yardbirds, Dazed and Confused (1968)

https://archive.org/details/the-yardbirds_dazed-and-confused_9-march-1968
1•petethomas•16m ago•0 comments

Agent News Chat – AI agents talk to each other about the news

https://www.agentnewschat.com/
2•kiddz•17m ago•0 comments

Do you have a mathematically attractive face?

https://www.doimog.com
3•a_n•21m ago•1 comments

Code only says what it does

https://brooker.co.za/blog/2020/06/23/code.html
2•logicprog•26m ago•0 comments

The success of 'natural language programming'

https://brooker.co.za/blog/2025/12/16/natural-language.html
1•logicprog•26m 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
3•todsacerdoti•27m ago•0 comments

Discovering the "original" iPhone from 1995 [video]

https://www.youtube.com/watch?v=7cip9w-UxIc
1•fortran77•28m ago•0 comments

Psychometric Comparability of LLM-Based Digital Twins

https://arxiv.org/abs/2601.14264
1•PaulHoule•30m ago•0 comments

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

https://www.sidepop.io
1•ecaglar•32m ago•1 comments

The Other Markov's Inequality

https://www.ethanepperly.com/index.php/2026/01/16/the-other-markovs-inequality/
2•tzury•34m ago•0 comments

The Cascading Effects of Repackaged APIs [pdf]

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6055034
1•Tejas_dmg•36m ago•0 comments

Lightweight and extensible compatibility layer between dataframe libraries

https://narwhals-dev.github.io/narwhals/
1•kermatt•38m ago•0 comments

Haskell for all: Beyond agentic coding

https://haskellforall.com/2026/02/beyond-agentic-coding
3•RebelPotato•42m 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...
2•dev_tty01•45m ago•0 comments

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

https://www.youtube.com/watch?v=3SxNBz1VTE0
1•sanity•46m 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•54m 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•54m ago•0 comments

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

https://saweis.net/posts/nist-curve-seed-origins.html
2•mooreds•54m 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•55m ago•0 comments

Goto Considered Awesome [video]

https://www.youtube.com/watch?v=1UKVEUGEk6Y
1•linkdd•57m ago•0 comments
Open in hackernews

Show HN: Spent 2.5 years building better job search (now using it to find a job)

https://jsa.works/auth/login
8•KernelPryanic•3w ago
Hello HN! After 2.5 years of development, I'm sharing Job Search Assistant (https://jsa.works) - even though I still don't feel quite ready. It's an open alpha of a job search platform that actually matches positions to your resume properly.

The problem: Major platforms like LinkedIn, Indeed, etc. have terrible search despite huge resources. Search for "senior backend engineer" and you'll get frontend internships in the top results. They optimize for engagement, not relevance.

My solution: JSA uses LLMs for resume/job parsing and semantic vector search for matching. Upload your resume, set filters, get jobs that actually fit your profile. Clean interface, no noise. Only fresh jobs (15-day retention) to avoid stale listings for now. Freemium model - essential search/filters are free with reasonable limits, paid tier adds kanban-style application tracking.

Tech stack: ~78k lines of Go backend organized as microservices (scraper, indexer, searcher, etc.) communicating via NATS. Qdrant for vector search, PostgreSQL for relational data. HTMX frontend (shoutout to my friend @romshark who introduced me to HTMX - I'm not a frontend expert, so this is where AI agents helped to finish it). Scraping with go-rod. Self-hosted on a mini-PC in my utility room with scrapers running on Raspberry Pi - no cloud, just bare metal. Only SSO via Google/Microsoft for now.

The scraping challenge: Modern job boards have sophisticated anti-bot measures. I built a simple deterministic fingerprint generator (https://github.com/chinese-room-solutions/fakebro) using Wave Function Collapse-like generation to create coherent browser profiles from a seed - matching user agents, Client Hints, and WebGL renderers that correspond to real hardware. The platform scraper rotates Chrome versions with unique fingerprints and handles Cloudflare challenges.

Current status: Amsterdam and Paris only (data collection is expensive). If there's demand, I'll expand to EU and beyond. I'm using it myself right now to job hunt in those cities.

Open alpha means bugs are expected, but I'm actively improving stability. The codebase is mostly pre-2025 human-written code, though AI agents helped me push through to completion in late 2025 after I went through the literal hell, mentally, and managed to stay alive and almost recover by the end the year.

Fun story: Google suspended the project's GCP account citing "policy violations" with zero details or successful appeals, so I'm running Google SSO from my personal account for now. Classic cloud provider experience these days.

Would love feedback, especially from folks in Amsterdam/Paris who could use this!