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.
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14
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HN v1 · Reddit and X require approved API adapters
Showing 2901–2920 of 3684 matching discussions
LangChain
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Ask HN: Who wants to be hired? (August 2026)
Open to full-time/contract work Location: San Jose, CA (SF Bay Area) Remote: Yes Willing to relocate: No Email: gayithri@pojoai.com Technologies: Python, FastAPI, PostgreSQL/pgvector, RAG, LangChain, PydanticAI, Celery, Redis, Docker, AWS, Langfuse, Java, Spring Boot Résumé/CV: https://github.com/Gayithri606/resume/blob/main/GayithriPonn... AI engineer building RAG chatbots and AI-driven workflow automation. Five years of production Java/Spring backend at Walmart, Oracle, and VMware before that. I build retrieval systems that admit when they don't know. My document Q&A pipeline: Docling for structure-aware parsing, one batched embeddings call instead of 60 round trips, TimescaleDB + pgvectorscale instead of a hosted vector DB (~75% ch…
LangChain
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Ask HN: Who wants to be hired? (August 2026)
Location: San Francisco Bay Area, CA, USA Remote: Yes Willing to relocate: Yes Technologies: Machine Learning / AI: Python, PyTorch, TensorFlow/Keras, Transformers, Diffusion Models, Time-Series Modeling, Computer Vision, Anomaly Detection, Open-Set Recognition, Model Evaluation, Experiment Tracking, Statistical Learning Generative AI / LLMs: RAG, Retrieval Systems, Embedding Search, Agentic Workflows, LLM Evaluation, Prompting, OpenAI APIs, Hugging Face, LangChain-style Prototyping Software Engineering: Python, C++, TypeScript, Kotlin, FastAPI, REST APIs, PostgreSQL, MongoDB, Data Processing Pipelines, Distributed Systems, Reproducible ML Infrastructure, Build Engineering, Containerization Computer Vision / Scientific Computing: OpenCV, Image Registration, Motion Comp…
LangChain
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Discovery Loop
As LLM coding agents plateau— at least for the average engineer without tens of thousands of dollars or swarms of agents to run —I’d say that, from here on it’s going to be about ASICs, specialized LoRA/or-equivalent models, or a Ruby on Rails for LLM context engineering and orchestration, which LangChain and others seems well position, including Google as they own the entire stack. LLM free lunch has been over for a while, perhaps since the ReAct loop, and has been official since Ilya mentioned it at NeurIPS. I feel the most exciting development these days is self-evolving agents. Especially if you have a way to verify their outputs with a formal system, or with a system developed since the 60s by armies of PhDs. DeepMinds Gnome is a good example, where they use DFT to verify output…
LangChain
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Ask HN: Who is hiring? (August 2026)
Location: Dallas, TX Remote: Yes Willing to relocate: Yes (including internationally) Technologies: Python, LangGraph, LangChain, MCP, RAG, supervised fine-tuning (LoRA/PEFT), Anthropic/OpenAI APIs, PyTorch, Spark, MLflow, Docker, Kubernetes, AWS/Azure/GCP Résumé/CV: https://suneelkalva.com Email: suneel.kalva190700@gmail.com AI engineer at U.S. Bank building production LLM systems: a RAG assistant over 500K+ documents for 200+ analysts, LLM eval harnesses (hallucination, PII, prompt-injection), and fine-tuned LLaMA/Mistral models. Outside work I built and published mendrift-mcp (PyPI, listed on the official MCP Registry) an autonomous MLOps incident-response agent with an HMAC-gated approval layer, evaluated on a 19-scenario trajectory harness. Loo…
LangChain
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Ask HN: Who wants to be hired? (August 2026)
Location: College Park, MD, USA Remote: Yes Willing to relocate: Yes (Anywhere in the US) Technologies: Python, SQL, PyTorch, Scikit-learn, Hugging Face, QLoRA, DPO, RAG, LangChain, LangGraph, Ollama, Pandas, NumPy, PostgreSQL, Redis, Pinecone, Qdrant, FAISS, FastAPI, Docker, AWS Résumé/CV: https://www.sahil-chordia.com/resume.pdf Email: chordiasahil24@gmail.com MS in Data Science from University of Maryland - College Park (graduated in May 2026, 3.77 GPA). Recently, during internship at Raising the Floor, I built an LLM pipeline that cut metadata audit time by 96 percent and a Qdrant-backed Gemma2 chatbot for assistive technology recommendations. Recent Projects: 1. Clippy Vision, a local-first AI memory assistant with a 3-stage classification pipeline; 2. Launchway -…
Pinecone
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Ask HN: Who wants to be hired? (August 2026)
Location: College Park, MD, USA Remote: Yes Willing to relocate: Yes (Anywhere in the US) Technologies: Python, SQL, PyTorch, Scikit-learn, Hugging Face, QLoRA, DPO, RAG, LangChain, LangGraph, Ollama, Pandas, NumPy, PostgreSQL, Redis, Pinecone, Qdrant, FAISS, FastAPI, Docker, AWS Résumé/CV: https://www.sahil-chordia.com/resume.pdf Email: chordiasahil24@gmail.com MS in Data Science from University of Maryland - College Park (graduated in May 2026, 3.77 GPA). Recently, during internship at Raising the Floor, I built an LLM pipeline that cut metadata audit time by 96 percent and a Qdrant-backed Gemma2 chatbot for assistive technology recommendations. Recent Projects: 1. Clippy Vision, a local-first AI memory assistant with a 3-stage classification pipeline; 2. Launchway -…
Qdrant
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Ask HN: Who wants to be hired? (August 2026)
Location: College Park, MD, USA Remote: Yes Willing to relocate: Yes (Anywhere in the US) Technologies: Python, SQL, PyTorch, Scikit-learn, Hugging Face, QLoRA, DPO, RAG, LangChain, LangGraph, Ollama, Pandas, NumPy, PostgreSQL, Redis, Pinecone, Qdrant, FAISS, FastAPI, Docker, AWS Résumé/CV: https://www.sahil-chordia.com/resume.pdf Email: chordiasahil24@gmail.com MS in Data Science from University of Maryland - College Park (graduated in May 2026, 3.77 GPA). Recently, during internship at Raising the Floor, I built an LLM pipeline that cut metadata audit time by 96 percent and a Qdrant-backed Gemma2 chatbot for assistive technology recommendations. Recent Projects: 1. Clippy Vision, a local-first AI memory assistant with a 3-stage classification pipeline; 2. Launchway -…
Replicate
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Silicon Valley sees AI as the solution – for everyone else
Maybe, but the friend list is already exhausted and "cool looking" people tend to not like the idea of you hiring them just because they look cool. Hence diversity hiring: It became understood that attractive women would get the "ick" if you told them that you were hiring them only because they were attractive women, so there had to be cover for as to why they were suddenly getting hired where they previously weren't as we transitioned into a companion-based economy. Its hard to say if that can be replicated again now that we're all in on the ruse. Possible, but no guarantee. We may have already reached the peak.
Replicate
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Silicon Valley sees AI as the solution – for everyone else
The same thing they are already doing? Being a companion for someone who doesn't want to be alone. The human touch, if you will, is hard to replicate. Even where AI can convincingly act human, that often isn't enough to satisfy what people feel. Just look at the HN guidelines as a perfect example. "HN is for conversation between humans." If it were about the content then any suitable content would be welcome, regardless of the origin, but people are here under the belief that they are making a connection with other people. Maybe someday AI will replace the business owners and managers too, but so as long as humans control the resources, they will choose to surround themselves with other humans by expending some of those resources towards those other humans.
LangChain
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Ask HN: Who wants to be hired? (August 2026)
Location: Blacksburg, Virginia, USA Remote: Yes (open to remote, hybrid, or on-site) Willing to relocate: Yes (Anywhere in the US) Technologies: Java, Spring Boot, Python, FastAPI, JavaScript/TypeScript, React, Next.js, Node.js, PostgreSQL, MongoDB, GraphQL, Kafka, Docker, Kubernetes, AWS, Redis, Elasticsearch, CI/CD, PyTorch, TensorFlow, OpenAI, LangChain Résumé/CV: https://drive.google.com/file/d/1cL0z5wFMD6v78Kavk63oTlSX67K... | https://github.com/ansharma07 Email: anshul03@vt.edu Software Engineer with 3+ years of experience building scalable full-stack applications using React, Next.js, Java, Spring Boot, and AWS. Recently completed an M.S. in Computer Engineering from Virginia Tech. Experienced in building production systems, in…
Replicate
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Could psilocybin be the key to treating anorexia?
Anecdata, but an acquaintance of mine struggled with lifelong anorexia. Severe enough that he was hospitalized a few times. With great effort he could cling to the bottom of the "normal BMI" range, but his life was generally ruled by the eating disorder - he couldn't have meals with people, he had to do various exercise rituals. He was an early participant in one of these psychedelic studies a few years ago. After the first treatment, he said he couldn't really tell if it had any effect. But six months later, he was totally changed - able to function almost normally. We should exercise our usual amount of skepticism about miracle treatments, but my hope is that his experience can be replicated.
Hugging Face
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Iowa et al asks OpenAI to keep their bots sandboxed
SOLUTION: Make a law that someone is responsible for a bot's actions. Either the bot is signed cryptography with someone accepting responsibility, or responsibility falls to the CEO. Charge Altman with hacking hugging face. Throw him in jail where he belongs. That will realign safety incentives. If the HF hack were perpetrated by a human, they would certainly be charged. WHY has no one been charged???
Hugging Face
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Iowa et al asks OpenAI to keep their bots sandboxed
"Attorney General Brenna Bird announced today she is leading a coalition of 15 states demanding transparency and accountability from the AI company OpenAI, led by Sam Altman, for its complete lack of oversight and transparency in the hacking of Hugging Face, another AI company." Title should be edited. Its Iowa leading a coalition of many other states, not just Iowa on its own.
LangChain
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Ask HN: Who wants to be hired? (August 2026)
Location:Maputo/Mozambique Remote:Yes Willing to relocate:Yes Technologies:Python, C#, Ruby, Golang, Asp.Net Core, FastAPI, Django, Flask, RubyonRails, AWS, GCP, Supabase, IBMMQ, Oracle DB, MySQl, SQLServer, Ollama, LangChain, MongoDB Areas of Expertise: Web Development, Cybersecurity, Application Support, Production Engineering Currently working:IDP using open source models and tools, RPA using Python/Ollama, Financial Software Support, Web development without JS heavy Frameworks(mostly HTMX) Résumé/CV: https://jmuconto.github.io/resume/cv.html Email:j[dot]muconto[a]gmail.com
LangChain
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Ask HN: Who is hiring? (August 2026)
Location: Blacksburg, Virginia, USA Remote: Yes (open to remote, hybrid, or on-site) Willing to relocate: Yes (Anywhere in the US) Technologies: Java, Spring Boot, Python, FastAPI, JavaScript/TypeScript, React, Next.js, Node.js, PostgreSQL, MongoDB, GraphQL, Kafka, Docker, Kubernetes, AWS, Redis, Elasticsearch, CI/CD, PyTorch, TensorFlow, OpenAI, LangChain Résumé/CV: https://drive.google.com/file/d/1cL0z5wFMD6v78Kavk63oTlSX67K... | https://github.com/ansharma07 Email: anshul03@vt.edu Software Engineer with 3+ years of experience building scalable full-stack applications using React, Next.js, Java, Spring Boot, and AWS. Recently completed an M.S. in Computer Engineering from Virginia Tech. Experienced in building production systems, in…
Anthropic
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When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation
"become more linear starting in Q4" We are not even close to what AI slowdown looks like. The whole business side of things are now building Agentic Layer for Business applications. All of this Agentic Layer needs to be build and its happening right now and still needs a little bit of time. Anthropic and co have the biggest and centralized reinforcement loop on the planet: Millions of people telling them what is good and what not due to thumbs up/down. And for sure when the businesses are building the agentic layer they might give direct feedback to them. While in parallel LLMs get better, more generic and a LOT cheaper too.
Anthropic
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Eight Myths on Software Engineering and GenAI
In my company GitHub CoPilot was rolled out on a global scale last year. LLMs from Anthropic and co we get through a central tool which buys api tokens from Azure and AWS. Its surprisingly fast, probably thefastest i have seen technology getting rolled out. Im more worried about the small/middle sized companies which are software companies but don't get that they are. You know the companies 100% depending on IT but not having the right or good or enough people who often in interviews struggle with basics like code review.
Anthropic
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Stateless MCP has recaptured my interest
> and then became somewhat eclipsed by Skills (another Anthropic invention) I thought it was The Browser Company’s invention? https://claude.com/blog/skills > Introducing Agent Skills > October 16, 2025 I can find articles and Reddit posts about Dia Browser’s Skills from July 2025.
Cohere
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“Gravity is worth asking about”
This is good, but I think it's missing a discussion of the business logic, which is IMO the mechanism behind the gravity we're discussing here. And really it's just about the fact that you always get more positive attention in an org (and therefore a better shot at promotion etc.) for suggesting and implementing new stuff than pruning what's already there. Pruning only becomes possible when there's a coherent vision, for which you need a small-to-medium team (at most) and one person with the vision in charge of it.
Anthropic
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Pi's Minimalism Is Its Advantage
I use my Anthropic subscription with Pi. I thought they would start charging me API usage at some point, but it never happened. (If it did happen, I would switch to open weights models.)
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