Attributed mentions
3684
Across all collected Hacker News results
Discussion intelligence
Where the AI market is talking
A source-linked Hacker News monitor for the tracked company graph. These are attributable public discussions—not sentiment, endorsements, or unverified company facts.
Companies represented
14
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HN v1 · Reddit and X require approved API adapters
Showing 1241–1260 of 3684 matching discussions
Hugging Face
comment
My local model setup on an M4 Pro Mac Mini
Hehe I really am just working it out as I go along - I promise it is fairly painless. Hugging Face allow you to specify your machine and then browse models that fit. And then you can just vibe out 'oh this one is a bit slow let me try another' etc
LangChain
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Ask HN: Who wants to be hired? (September 2026)
Location: Bucharest, Romania & San Francisco, CA Remote: Yes (preferred) Willing to relocate: Yes Technologies: Python, Django, Svelte / TypeScript, Shell, Linux, PostgreSQL, Redis, Docker, Hugging Face, OpenAI, LlamaIndex, LangChain, AWS, GCP, Unity (C#), Git, Github Actions, Software Design & Architecture, Devops, Product, UX, Sales Résumé/CV: Available on request Email: hi [at] lucianlazar [dot] io GitHub: https://github.com/xucian hey, I'm Lucian, have 13y of exp as a generalist swe, started as a gamedev then expanded into devops, ai/ml, trading, now working on a pretty diverse range of projects, from games, gamedev courses, ai tools, saas templates etc. more info on my profile looking for a fractional cto role, ideally, but I'm flexible recent/notab…
Hugging Face
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Ask HN: Who wants to be hired? (September 2026)
Location: Bucharest, Romania & San Francisco, CA Remote: Yes (preferred) Willing to relocate: Yes Technologies: Python, Django, Svelte / TypeScript, Shell, Linux, PostgreSQL, Redis, Docker, Hugging Face, OpenAI, LlamaIndex, LangChain, AWS, GCP, Unity (C#), Git, Github Actions, Software Design & Architecture, Devops, Product, UX, Sales Résumé/CV: Available on request Email: hi [at] lucianlazar [dot] io GitHub: https://github.com/xucian hey, I'm Lucian, have 13y of exp as a generalist swe, started as a gamedev then expanded into devops, ai/ml, trading, now working on a pretty diverse range of projects, from games, gamedev courses, ai tools, saas templates etc. more info on my profile looking for a fractional cto role, ideally, but I'm flexible recent/notab…
LlamaIndex
comment
Ask HN: Who wants to be hired? (September 2026)
Location: Bucharest, Romania & San Francisco, CA Remote: Yes (preferred) Willing to relocate: Yes Technologies: Python, Django, Svelte / TypeScript, Shell, Linux, PostgreSQL, Redis, Docker, Hugging Face, OpenAI, LlamaIndex, LangChain, AWS, GCP, Unity (C#), Git, Github Actions, Software Design & Architecture, Devops, Product, UX, Sales Résumé/CV: Available on request Email: hi [at] lucianlazar [dot] io GitHub: https://github.com/xucian hey, I'm Lucian, have 13y of exp as a generalist swe, started as a gamedev then expanded into devops, ai/ml, trading, now working on a pretty diverse range of projects, from games, gamedev courses, ai tools, saas templates etc. more info on my profile looking for a fractional cto role, ideally, but I'm flexible recent/notab…
Cohere
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Show HN: HN Match Maker – Matching "Who Wants to Be Hired?" With "Who's Hiring?"
It's a bit like backtesting, in finance. Quite useful to establish whether your algorithm is sane and coherent, no use at all in determining if it is actually useful, to my understanding.
LangChain
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Ask HN: Who is hiring? (September 2026)
Interview Resources | 2 Full Stack AI Engineer, 1 GTM | REMOTE | Full-Time | $250k seed raised Interview Resources is building an AI-powered deep research platform for interview preparation. Instead of generic interview guides, we autonomously research company-specific interview experiences across Reddit, YouTube, LinkedIn, engineering blogs, company websites, Glassdoor, and other public sources, then generate structured preparation reports in minutes. We are already profitable with 3k+ paid users. Our stack currently includes Next.js, React, TypeScript, Node.js, PostgreSQL, Docker, Vercel, AWS, and modern AI tooling. Experience with LangGraph, LangChain, MCP, RAG, vector databases, or AI agents is a strong plus, but curiosity and the ability to learn quickly matter more. We're looking fo…
LangChain
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Ask HN: Who wants to be hired? (September 2026)
Location: Odesa, Ukraine Remote: Optional Willing to relocate: Yes Technologies: Python, FastAPI, Postgres, Docker, AWS, LangChain, AI/LLM Résumé/CV: https://drive.google.com/file/d/1wmd_8yo2Di4m_LCyPrHtBsOUjjwtUNGw/view?usp=sharing Email: wladgavrilov@gmail.com SUMMARY Deep expertise in applied AI and Python, with broad hands-on capability across the stack from frontend to cloud infrastructure and CI/CD. Experienced in taking ambiguous product problems from hypothesis through architecture, prototype, evaluation, and production. Strong at finding pragmatic technical solutions that enable fast iteration without losing sight of production constraints.
LangChain
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Ask HN: Who wants to be hired? (September 2026)
Location: Bucharest, Romania Remote: Yes Willing to relocate: Yes Résumé/CV: https://bit.ly/4wZMrTy Email: unpack@fastmail.com Technologies: TypeScript, JavaScript, Node.js, Bun, React, Next.js, Vue.js, React Native, Expo, Fastify, NestJS, Hono, Swift, Kotlin, Go, Python, PostgreSQL, Prisma, Drizzle, Neon, Hasura, GraphQL, tRPC, WebSockets, RabbitMQ, Inngest, Mastra, LangChain.js, RAG, vector databases, embeddings, LLM agents, LLM evals, voice AI, LiveKit, ONNX, Transformers.js, speech-to-text, text-to-speech, on-device inference, CRDTs, distributed state, local-first architecture, offline-first applications, real-time synchronization, end-to-end encryption, SDK and CLI development, OAuth/OIDC, Better Auth, multi-tenant systems, Jest, OpenTelemetry, Grafana, Docke…
Anthropic
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Claude Fable 5.1 and Claude Mythos 5.1
Invest a bit of your time into optimising usage cost. Anthropic has first class docs, actually read it or ask llm to read them all for you and summarise most important points. Maybe silly thing like dropping your default thinking effort by one level or adding (sub)agent pinned to other model is all there it to completely fix it. Naively sending everything to the most expensive model on high thinking effort is anti pattern and will drain quota quickly.
Anthropic
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How accurate have Ed Zitron's AI skeptic predictions been?
I agree that Zitron is not honest and a denialist regarding the usefulness of AI, but the "profit" chart is just completely misleading as most of these companies have made large investments in OpenAI/Anthropic and list the gains in their share price as "profits" - so yes, while the asset prices are rising, that's typical in any financial bubble. Google is actually cash flow negative for the first time in history (which imo should be what measures profitability: income from products and services - costs to produce them) so Zitron's core thesis that there are no returns in AI is playing out as far as I can tell...
Anthropic
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AI Can Make You Suck Faster Too
Are you purposely twisting things to fit a certain narrative? If you really want to go into it, I've previously talked about how we used AI tools provided to us by one of our major investors who do so for all the companies they are invested into. These were also Anthropic and OpenAI models. The main difference is that Cowork has access to files on a users one drive (and that we get a lot more control over what goes into it).
Anthropic
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AI wealth is creating a 'mansion shortage' upending San Francisco housing market
Related: OpenAI and Anthropic are ruining San Francisco https://news.ycombinator.com/item?id=49486188
Anthropic
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How accurate have Ed Zitron's AI skeptic predictions been?
What?? Ed Zitron has repeatedly said OpenAi or Anthropic would literally die. This keeps happening - Ed makes a prediction. It gets falsified. And people say, “no actually he meant something else”.
Anthropic
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Claude Fable 5.1 and Claude Mythos 5.1
> Anthropic did not get much bite on Fable at its original pricing I stopped using Fable because it kept stopping itself due to safeguards.
Anthropic
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How accurate have Ed Zitron's AI skeptic predictions been?
Speaking of wrong predictions... the entire US military budget would have to be spent on OpenAI/Anthropic to keep the bubble from bursting.
Anthropic
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Claude Fable 5.1 and Claude Mythos 5.1
You're giving it too much credit. There's no master plan or secret depth to the word vomit Opus 5 was spewing. I suspect it's just the result of Anthropic optimizing other characteristics of the product like staying focused and covering edge cases in coding, which CC has definitely gotten way better at just in the last 6 months. The degradation in writing style was probably an unintended side effect of other optimizations they were making. Admittedly it works okay for internals, and has the side effect of increasing token spend, but I am 100% sure that it could reduced by 90-99% without losing ANY signal, if there was just some better heuristics for what to say where (tech spec, inline comment, commit message, CLAUDE.md, PR should have different things) and better judgement for what to di…
LangChain
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Ask HN: Freelancer? Seeking freelancer? (September 2026)
SEEKING WORK Location: France Remote: Remote only Technologies: Main ones: Node.js, TypeScript, React.js, React Native, mass scraping/automation, Puppeteer, Playwright, LLMs, Firebase, MongoDB, AWS/GCP. Some experience with Python, LangChain, Go, C, PHP, SQL/MySQL, DynamoDB, security. Résumé/CV: https://www.linkedin.com/in/otmane-b-27506b36b/ | reach out for a detailed resume. Email: otmanebenazzou.dev@gmail.com Background: - coding since 2010, 6+ years working for startups & scaleups, generalist engineer with strong fullstack experience - contributed to a few open source projects, reported critical vulnerabilities on a bunch of major websites Currently bootstrapping an AI product, so I'm ideally looking for part-time/freelance work, unles…
LangChain
comment
Ask HN: Who wants to be hired? (September 2026)
Location: France Remote: Remote only Willing to relocate: No Technologies: Main ones: Node.js, TypeScript, React.js, React Native, mass scraping/automation, Puppeteer, Playwright, LLMs, Firebase, MongoDB, AWS/GCP. Some experience with Python, LangChain, Go, C, PHP, SQL/MySQL, DynamoDB, security. Résumé/CV: https://www.linkedin.com/in/otmane-b-27506b36b/ | reach out for a detailed resume. Email: otmanebenazzou.dev@gmail.com Background: - coding since 2010, 6+ years working for startups & scaleups, generalist engineer with strong fullstack experience - contributed to a few open source projects, reported critical vulnerabilities on a bunch of major websites Currently bootstrapping an AI product, so I'm ideally looking for part-time/freelance …
Anthropic
comment
Claude Fable 5.1 and Claude Mythos 5.1
> As far as I know, anthropic aren't intrinsically motivated by watermarking (if anything it hurts sales, and seems indifferent to safety(?)) they're simply doing it to fulfill the EU obligations. They are. They want to reduce the amount of LLM generated text they feed into their next model training. Also, how would you watermark a sentence with just 3 words for an example? This exactly why it became so verbose.
Anthropic
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Claude Fable 5.1 and Claude Mythos 5.1
By injecting that weird prompt and not by proper post training? anthropic is truly a joke.
Methodology: HN Search returns recent public items matching a monitored company name. AIIStack stores a short normalized excerpt and the original link, deduplicates by company/provider/item ID, and creates an activity signal only after a threshold of newly observed records. Review the original discussion before making a decision.