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[Other] Show HN: ParseHawk – 100% Local Document AI with API, CLI, and Web UI I just released ParseHawk v0.1.0: Apache-2.0 licensed 100% local document AI platform that extracts JSON from PDFs, images etc. It builds on top of NuMind's NuExtract3 but additionally enforces a provided JSON schema with constrained decoding. It works on Apple Silicon with pre-bundled vllm-metal as well as Linux + NVIDIA with vllm. Looking forward to your feedback!

[Other] Linux on Older Hardware: The Complete Revival Guide

[Database] Show HN: Bible as RAG Database Made this in a free evening. Index an permissive license translation of the Bible (WEB) into a RAG database to allow returning passages of similar semantic meaning. Lots of fun. For example, &quot;more money more problems&quot; returns Ecclesiastes 5:9-13 which, I&#x27;ll just say, is spot on..<p>&quot;Moreover the profit of the earth is for all. The king profits from the field. He who loves silver shall not be satisfied with silver, nor he who loves abundance, with increase. This also is vanity. When goods increase, those who eat them are increased; and what advantage is there to its owner, except to feast on them with his eyes? The sleep of a laboring man is sweet, whether he eats little or much; but the abundance of the rich will not allow him to sleep. There is a grievous evil which I have seen under the sun: wealth kept by its owner to his harm.&quot;<p>Anyway - thought it was fun enough to share. It&#x27;s slow and I vibe coded it so I haven&#x27;t sorted out how to make it not take 15 seconds to vector search against the full 4GB index.

A Special Wireless-Free Nikon Camera Is Publicly Available for the First Time

[Other] Mixing Visual and Textual Code PDF: <a href="https:&#x2F;&#x2F;arxiv.org&#x2F;pdf&#x2F;2603.15855" rel="nofollow">https:&#x2F;&#x2F;arxiv.org&#x2F;pdf&#x2F;2603.15855</a>

[DevOps] Zero-Downtime Deployments with Docker Compose – No Kubernetes Required

[Other] GitHub shouldn't be a dependency for publishing Rust on crates.io

[Other] Show HN: Lelu – gate OpenAI agent actions on confidence and prompt injection

[Other] I rewrote PostHog's SQL parser, 70x faster, while barely looking at the code

[DevOps] Show HN: Forte – Cloud infra to get startups to production faster Forte is an opinionated cloud platform that gets developers to production faster. Developers bring their code and Forte containerizes it with autoscaling and no cold starts, securely configures auth, and provides logging insights and monitoring out of the box.<p>I used to help lead service development at AWS, and even before AI coding was widespread, our biggest bottleneck was rarely feature development. We would spend months on security prep, observability tooling, on-call optimization, and other overhead before launching new features. When I worked in startups, every team hit a surprisingly similar set of problems and spent weeks rebuilding auth, logging, monitoring, and payments.<p>Platforms like Heroku, Render, and Railway are helpful for getting a container running but don&#x27;t provide the rest of the tooling the teams need to go to production -- auth, secure defaults, and request-level logging. We built Forte to solve that entire stack of problems.<p>You can check out Forte at <a href="https:&#x2F;&#x2F;forteplatforms.com" rel="nofollow">https:&#x2F;&#x2F;forteplatforms.com</a> (it&#x27;s free to sign up and doesn&#x27;t require a payment method). We&#x27;d love to hear your questions and feedback!

[Other] RubyLLM: A Ruby framework for all major AI providers

[Other] Show HN: Nub – A Bun-like all-in-one toolkit for Node.js Colin here, creator of Nub. I’ve had the general shape of this in mind for years. Nub runs your code with stock `node`, augmented with a `--require` preload hook[0] that adds a transpiler (oxc-powered, packaged as a Node-API add-on), registers a module resolution hook[1], and injects polyfills as needed for APIs like `Worker`, `Temporal`, etc. All purely additive, your code ultimately runs using Node’s actual engine &amp; stdlib implementations.<p>[0] <a href="https:&#x2F;&#x2F;nodejs.org&#x2F;api&#x2F;cli.html#-require-module" rel="nofollow">https:&#x2F;&#x2F;nodejs.org&#x2F;api&#x2F;cli.html#-require-module</a><p>[1] <a href="https:&#x2F;&#x2F;nodejs.org&#x2F;api&#x2F;module.html#moduleregisterhooksoptions" rel="nofollow">https:&#x2F;&#x2F;nodejs.org&#x2F;api&#x2F;module.html#moduleregisterhooksoption...</a>

[DevOps] Systems optimization should be part of CI/CD

[Other] Minimus container images are now free

[Other] Haystack: Open-Source AI Framework for Production Ready Agents, RAG

[Other] Show HN: WebBase-III – dBASE III rebuilt in the browser with its own interpreter

[Other] Show HN: Y – A malleable coding-agent desktop app built with Electron

[Other] FEXPRs vs. vtable: how LispE interpreter works

Anthropic updates their terms to verify age or identity

[Testing] Show HN: RLM-based local debugger for AI agent traces We built HALO (Hierarchal Agent Loop Optimizer), an open-source tool for debugging and optimizing AI agents using their execution traces.<p>It’s a loop. Run your agent, feed the traces to HALO, get the report, apply the fixes, then re-run your agent.<p>HALO takes in OTEL compliant traces from AI agents using tracing frameworks such as Langfuse, Arize&#x2F;OpenInference, or even just plain JSONL. It uses an RLM (Recursive Language Model) to more efficiently break trace analysis into smaller subproblems in order to find recurring patterns across large amounts of data and fix systemic issues that regular LLMs might typically miss.<p>You can also optionally provide a path to where your agent code lives to give the engine more context so it can more concretely provide useful insights.<p>The repo also includes a desktop app that you can run locally without having to sign up for anything or configure anything complex.<p>Check out the readme in the repo for more in depth information on what HALO is and how you can use it to your benefit :)