by whoishiring ·
Share your information if you are looking for work. Please use this format:
Location:
Remote:
Willing to relocate:
Technologies:
Résumé/CV:
Email:
Readers: please only email these addresses to discuss work opportunities.
Searchers: try https://nthesis.ai/public/hn-wants-to-be-hired, https://www.wantstobehired.com.
by whoishiring ·
Please state the location and include REMOTE for remote work, REMOTE (US) or similar if the country is restricted, and ONSITE when remote work is not an option.
Please only post if you personally are part of the hiring company—no recruiting firms or job boards. One post per company. If it isn't a household name, explain what your company does.
Please only post if you are actively filling a position and are committed to replying to applicants.
Commenters: please don't reply to job posts to complain about something. It's off topic here.
Readers: please only email if you are personally interested in the job.
Searchers: try https://nthesis.ai/public/hn-who-is-hiring, https://dheerajck.github.io/hnwhoishiring/, http://nchelluri.github.io/hnjobs/, https://hnjobs.emilburzo.com.
Don't miss this other fine thread: Who wants to be hired? https://news.ycombinator.com/item?id=49156682
by alexwwang ·
My take: this notice from DeepSeek might actually be a brilliant marketing move. The logic here is to urge users to ramp up their usage over the next 2 to 3 months. By the time the price hike actually kicks in, newer models will likely have already drawn users away, and whenever DeepSeek drops its next, even stronger model, the new price point won't feel nearly as steep. It’s a clever way to dodge the dilemma Kimi and GLM found themselves in. Let's wait and see how it plays out.
by vanessa1211 ·
I was planning to create an app and launch it in the market but research lead to me places and stumbled upon this term called fractional hiring. what's your opinion on this?
by d4ng ·
by spottedmarley ·
I just found out about this new American (San Francisco) model today and I'm currently benchmarking it and, so far, it is outperforming my standard go-to model Qwen3.5:122b and even Sonnet in my benchmarking test. It's personality is much better than Qwen and it is more naturally creative when it is designing UIs. I have about 6 more tests to go though.
If you're interested you can look at my benchmark dashboard here: https://spottedmarley.com/arena/
by reconnecting ·
GitHub seems to be continuing (1) to deprecate star information. First the stargazers list was hidden from logged-out users, and now the main stargazers link on repo pages has disappeared too. /stargazers returns a 404 (2) unless you own the repo.
I know many people say stars aren't a real signal, but they were: they made it possible to detect signs of bought stars. Some third-party services even showed the geographic distribution of a repo's stars so you could judge whether they looked fake.
The main point is that whatever reasoning GitHub offers, the outcome is the same: either GitHub is weak against bots, or it would rather control these signals itself, with no way for outsiders to audit them.
1. https://news.ycombinator.com/item?id=48821803
2. https://github.com/tirrenotechnologies/tirreno/stargazers
by vivzkestrel ·
- Everyday I read 2 pages of HN in the morning and 2 in the evening for years now
- Of late, I noticed that most of the stuff on the 1st 2 pages is AI this, AI that, LLM this, LLM that, model here, model there
- Today I am going to attempt to break that trend by sharing the greatest resources on HN from my collection of 50000+ bookmarks over the last decade
- I have a process on my end for bookmarking
- The most visual explainers get S-Tier ranking
- Good info from reputed sources gets an A, non reputed gets B
- Opinion blogs are at the bottom of the barrel and maybe ranked C, D, E and even F depending on quality
- Here's my S-Tier list
- Animated explanation of how transformers work https://poloclub.github.io/transformer-explainer/
- Visual intro to K-means clustering algorithm https://k-means-explorable.vercel.app/
- Animated 3D intro to vision LLMs https://blog.mdturp.ch/posts/2024-04-05-visual_guide_to_vision_transformer.html
- Animated intro to machine learning https://r2d3.us/visual-intro-to-machine-learning-part-1/
- Animated intro to probability in math https://seeing-theory.brown.edu/basic-probability/index.html
- Building a 3D world from scratch in step by step animated manner https://aibodh.com/posts/bevy-tutorial-build-your-first-3d-editor-in-rust/
- Visualize algorithms https://algorithm-visualizer.org/
- Animated step by step sequence of how a request goes from your browser to the server https://200ms.thenodebook.com/#act-1-the-click
- Visual intro to the inner workings of a combustion engine https://ciechanow.ski/internal-combustion-engine/
- 3D real time robotics code simulator https://bittlex-sim.petoi.com/
- Animated explainer: Elliptic curve cryptography https://growingswe.com/blog/elliptic-curve-cryptography
- Rate limiting algorithms visualized https://smudge.ai/blog/ratelimit-algorithms
- Visual intro to the graphics pipeline! https://fremaconsulting.ch/blog/vulkan
- Animated explanation of how to build ReactJS from scratch! https://pomb.us/build-your-own-react/
- Mini game: How to build an entire CPU starting from a basic gate https://select.supply/game/chipbuilder
- Assemble a neural network from scratch https://graphgame.sabrina.dev/
- 3D visualization: how gravity works https://qunabu.github.io/Gravity/#what-is-gravity
- Mini game: how css grid works https://cssgridgarden.com/
- Animated math book for linear algebra, vectors etc https://immersivemath.com/ila/index.html
- Animated explainer: How FAISS vector search works https://fremaconsulting.ch/blog/faiss
- 3D animation of how to build a health wearable from scratch https://www.lumafield.com/scan-of-the-month/health-wearables
- 3D animation of how semiconductor manufacturing works https://ig.ft.com/microchips/
- Mini game: how git works https://learngitbranching.js.org/
- Mini game: SQL from scratch https://sqlpd.com/
- Another mini game: SQL https://lost-at-sql.therobinlord.com/
- Animated explainers showing how colors, screens, graphics, rendering, shaders, compilers, interpreters work https://www.makingsoftware.com/
- Animated explainer shows how networking 7 layer stack works inside out https://fazamhd.com/mental-models/networking/
- Animated explainers for linear & logistic regression, neural networks, machine learning https://mlu-explain.github.io/
- 3D explanation of collision detection, shaders, rendering, culling and gamedev related stuff https://krupitskas.com/posts/modern_culling_techniques/
- 3D animation and explanation of every exercise on the body https://musclewiki.com/
- Mini game: build an nvidia gpu from scratch https://jaso1024.com/mvidia/
- Animated explanation of forward & back propagation of neural networks https://aegeorge42.github.io/
- There are many many many more, I am getting a little tired of typing for today
- Anyways enough of those AI opinion posts flooding the front page, take that HN!
by spottedmarley ·
I just found out about it but I hadn't ever seen it mentioned and it sounds really interesting.
Im pulling laguna-s-2.1:q4_K_M right now