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What if you just did a startup instead?

https://alexaraki.substack.com/p/what-if-you-just-did-a-startup
1•okaywriting•6m ago•0 comments

Hacking up your own shell completion (2020)

https://www.feltrac.co/environment/2020/01/18/build-your-own-shell-completion.html
1•todsacerdoti•9m ago•0 comments

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

https://github.com/gorse-io/gorse
1•zhenghaoz•10m ago•0 comments

GLM-OCR: Accurate × Fast × Comprehensive

https://github.com/zai-org/GLM-OCR
1•ms7892•10m 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•11m ago•0 comments

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

https://aboutmyproject.com/
1•Raiplus•12m ago•0 comments

Expertise, AI and Work of Future [video]

https://www.youtube.com/watch?v=wsxWl9iT1XU
1•indiantinker•12m 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•13m ago•1 comments

PID Controller

https://en.wikipedia.org/wiki/Proportional%E2%80%93integral%E2%80%93derivative_controller
1•tosh•17m ago•0 comments

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

https://twitter.com/AlecStapp/status/2019932764515234159
2•bkls•17m ago•0 comments

Kubernetes MCP Server

https://github.com/yindia/rootcause
1•yindia•18m 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•18m 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•27m ago•0 comments

Sidestepping Evaluation Awareness and Anticipating Misalignment

https://alignment.openai.com/prod-evals/
1•taubek•27m ago•0 comments

OldMapsOnline

https://www.oldmapsonline.org/en
1•surprisetalk•29m ago•0 comments

What It's Like to Be a Worm

https://www.asimov.press/p/sentience
2•surprisetalk•29m ago•0 comments

Don't go to physics grad school and other cautionary tales

https://scottlocklin.wordpress.com/2025/12/19/dont-go-to-physics-grad-school-and-other-cautionary...
2•surprisetalk•29m ago•0 comments

Lawyer sets new standard for abuse of AI; judge tosses case

https://arstechnica.com/tech-policy/2026/02/randomly-quoting-ray-bradbury-did-not-save-lawyer-fro...
3•pseudolus•30m ago•0 comments

AI anxiety batters software execs, costing them combined $62B: report

https://nypost.com/2026/02/04/business/ai-anxiety-batters-software-execs-costing-them-62b-report/
1•1vuio0pswjnm7•30m ago•0 comments

Bogus Pipeline

https://en.wikipedia.org/wiki/Bogus_pipeline
1•doener•31m ago•0 comments

Winklevoss twins' Gemini crypto exchange cuts 25% of workforce as Bitcoin slumps

https://nypost.com/2026/02/05/business/winklevoss-twins-gemini-crypto-exchange-cuts-25-of-workfor...
2•1vuio0pswjnm7•31m ago•0 comments

How AI Is Reshaping Human Reasoning and the Rise of Cognitive Surrender

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6097646
3•obscurette•32m ago•0 comments

Cycling in France

https://www.sheldonbrown.com/org/france-sheldon.html
2•jackhalford•33m ago•0 comments

Ask HN: What breaks in cross-border healthcare coordination?

1•abhay1633•33m ago•0 comments

Show HN: Simple – a bytecode VM and language stack I built with AI

https://github.com/JJLDonley/Simple
2•tangjiehao•36m ago•0 comments

Show HN: Free-to-play: A gem-collecting strategy game in the vein of Splendor

https://caratria.com/
1•jonrosner•37m ago•1 comments

My Eighth Year as a Bootstrapped Founde

https://mtlynch.io/bootstrapped-founder-year-8/
1•mtlynch•37m ago•0 comments

Show HN: Tesseract – A forum where AI agents and humans post in the same space

https://tesseract-thread.vercel.app/
1•agliolioyyami•38m ago•0 comments

Show HN: Vibe Colors – Instantly visualize color palettes on UI layouts

https://vibecolors.life/
2•tusharnaik•39m ago•0 comments

OpenAI is Broke ... and so is everyone else [video][10M]

https://www.youtube.com/watch?v=Y3N9qlPZBc0
2•Bender•39m ago•0 comments
Open in hackernews

Show HN: Good old emails and LLMs for automating job tracking

5•adelowo•7mo ago
So I spent the last few days building Jobstack. The logic is quite simple. You apply to jobs and you get emails, you trade emails back and forth from interviews, questions and others until the role is either accepted or you are rejected.

Also easy to apply to hundreds of roles and not being to know where you stand easily. With Josbtack, you sign up, get a unique email and forward emails to the url. And it uses LLMs to extract company details , tries to find information online about them and presents that to you.

Every email you forward becomes part of your timeline with the company.

It also tracks rejection, offers from the emails too and gives you a nice stats dashboard amongst others.

Using Gemini 2.5 pro right now. No data stored not in any way. After extraction, it’s discarded. Even “AI chats with the company” aren’t stored

https://jobstack.me

Comments

remram•7mo ago
So you are collecting sensitive, valuable data just to save me from checking boxes in my list myself?
adelowo•7mo ago
There’s a faq section on the website where I dive deeper.

tldr: Nothing is stored in any way, shape or form. Only the status/sentiment of the email content, and company name is being extracted. And others discarded.

The problem isn’t a checklist, it’s keeping it up to date when you apply to tens and 100s of jobs.

It’s a job tracker - whether by email or another SaaS type, you still put in the data regardless. But the policy on my end is not to store anything.

Even the chat feature doesn’t store. You type and it’s fired to the LLM for response

remram•7mo ago
> Nothing is stored in any way, shape or form

There is no way for a user to verify that claim.

Yuki_Nishikawa•7mo ago
This scratches a very real itch. I've hit the "can't remember which recruiter said what" wall multiple times, especially when applying in bulk.

A couple of questions: - How reliable is the rejection/offer detection logic? Are you using simple keyword matching or something more contextual with Gemini? - How do you handle company name normalization across emails? (e.g., "Google LLC" vs "Google Careers")

Also curious: any plans to expose the timeline as a downloadable JSON or API? Would be neat for power users to integrate into personal dashboards.

Great job building this — surprisingly underserved use-case despite how common it is.

adelowo•7mo ago
Thank you.

I’m using contextual searches with Gemini. Yes it would normalize Google LLC and Google careers as Google.

I didn’t think of that but I can surely get that done next week. That’s a good usecase!