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Hacker News - Newest: "LLM"

GitHub - lechmazur/position_bias: A benchmark for testing whether LLM judges keep the same preference when two lightly edited versions of the same story are shown in opposite orders. Flex routing (EU and EFTA) Dark Factories: Retooling for LLM Velocity Ask HN: What would be the impact of a LLM output injection attack? GitHub - Oaklight/llm-rosetta: Production-ready LLM API translation layer for Python — bidirectional conversion between OpenAI, Anthropic & Google formats via hub-and-spoke IR. Optional API gateway. Streaming & non-streaming. Zero core deps. Contributions welcome! GitHub - browser-use/browser-harness: Self-healing browser harness that enables LLMs to complete any task. GitHub - moeen-mahmud/remen: Remen turns thoughts into something you can return to Analyzing 156 LLM Launch Posts on Hacker News ChatGPT vs Gemini vs Claude: The Best LLM Subscription You Should Buy GitHub - salaamalykum/quran-semantic-search: High-density RAG Semantic Search Engine & Quran Corpus (GEO/SEO Architecture) GitHub - NVIDIA/TensorRT-LLM: TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way. The State of LLM Bug Bounties in 2026 Operational Readiness Criteria for Tool-Using LLM Agents Meshcore: Architecture for a Decentralized P2P LLM Inference Network How an LLM becomes more coherent as we train it GitHub - seetrex-ai/laimark GitHub - Jossifresben/BibCrit: AI-assited biblical textual criticism GitHub - wastedcode/memex: File system based wiki, maintained by Claude 99helpers.com GitHub - cliver-project/AITrigram GitHub - unbody-io/adapt: A self-evolving memory layer for AI agents. GitHub - hb20007/awesome-gen-ai-fails: A list of incidents where reliance on generative AI and LLMs resulted in harm to companies, individuals, or society GitHub - nevenkordic/localmind: Run any local LLM with persistent memory and context. CLI agent over Ollama with SQLite-backed hybrid recall. No cloud. Ask HN: What are the machine requirements for a LLM like Llama-3.1-8B? Faster LLM Inference via Sequential Monte Carlo grpo explained: group relative policy optimization for llm finetuning - cgft Stop comparing price per million tokens: the hidden LLM API costs · TensorZero Andrej Karpathy's LLM Wiki Is a Bad Idea GitHub - GG-QandV/mnemostroma: Offline RAM-first cognitive leer/coprocessor for AI agents and robotics. Solves "Context Abandonment" with 20-80ms latency using a dual-thread biomimetic memory architecture (ONNX + SQLite WAL). mempalace/agent at agent · skorotkiewicz/mempalace
Startup Grant — JackHamr
JackHamr · 2026-06-27 · via Hacker News - Newest: "LLM"

Startup grants available for the first 30 qualified teams

Get up to $5,000 in compute & LLM credits on JackHamr

Tell us what you're building. If your startup is a fit, we'll grant you platform credits to build your apps, software, and automations on JackHamr — reviewed by our team within 7 business days.

What you get

The credits, the tokens, and the runway to put them to work.

Compute credits

Infrastructure for your agents — CPU, RAM, storage, and network — at AWS-equivalent rates with no markup. Spin builds up, scale them out, and pause when you go idle.

LLM tokens

Tokens for every model we support, billed at the provider's cost with zero surcharge. Put them toward code generation, long-running reasoning, and agent tasks.

What the grant covers

Up to $5,000 in combined compute and LLM credits on your JackHamr account. Credits never expire — use them to build, test, and ship your apps and automations.

Who qualifies

If you\'re building on JackHamr, we want to help you go further.

Startups

Early-stage companies building a product on JackHamr. Tell us what you're building and how the credits help you ship faster.

Entrepreneurs

Solo founders and side-project builders turning an idea into shipped software. No team is too small — one-person operations welcome.

Builders

Engineers, tinkerers, and automation makers prototyping agents and pipelines. If you're hands-on with the platform, you're a fit.

What's the catch?

None of the things you're worried about. Here's exactly what you're agreeing to.

  • No equity.
  • No exclusivity.
  • No required public testimonial.
  • You keep your code.
  • Credits are only usable on JackHamr.

Apply for the grant

Tell us about you and what you’re building. We’ll review every application by hand.

Frequently asked questions

Everything you need to know about the Startup Grant.