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Products that do what PaloQA does

Test E2E Flows, Visual & API Drift, 100% Local & AI-Powered

  1. 1
    DesignQA150

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  4. 4AL

    Hi HN! I am Maria, solo founder of DataQA (https://dataqa.ai/), a tool to search and label documents for various NLP tasks (e.g. entity extraction, entity linking, etc). I have worked as a data scientist and ML engineer for the better part of a decade, and over that time have specialised mainly in applications involving natural language processing (NLP). One of the key questions I have always had at the back of my mind is whether my time was well spent. Whenever I spent more time on feature engineering or trying different models, I always wondered whether I would get better…

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    Torq AI116

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    WebLens178

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  7. 7

    AI-powered debugging for Claude Code. Point, click, fix

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  8. 8
    LunaRoute106

    High-perf, secure local proxy for AI coding assistants

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  9. 9
    Glance 87

    Real browser for Claude Code Test, Screenshot, Automate

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  10. 10
    Sequirly129

    Prevent accidental data leaks while using AI tools

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  11. 11
    FlowLens134

    Bug reports built for coding agents, so you can ship faster.

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    The narrow control plane for AI agent tool and API calls.

    Aug 2026 · aegisora-ai.vercel.app

  13. 13AC
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    WebFill24

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  15. 15PA

    We're excited to release PaperQA2, an open source RAG library specialized to work with the scientific literature. We've seen some really compelling results with it (https://paper.wikicrow.ai), like superhuman performance at question answering and summarization when compared with expert scientists. PaperQA2 is a major overhaul of our prior PaperQA system, it includes automatically obtained rich metadata for each paper, a CLI to work with local papers directly, a local full-text search engine for keywords searches over PDF files, a state-of-the-art algorithm for LLM-based re-ranking…

    2024 · github.com

  16. 16SA
  17. 17LA

    LunaRoute is a high-performance local proxy for AI coding assistants like Claude Code, OpenAI Codex CLI, and OpenCode. Get complete visibility into every LLM interaction with zero-overhead passthrough, comprehensive session recording, and powerful debugging capabilities. - See Everything Your AI Does - get full logs (JSONL), summary of sessions including tokens used (input/output) as well as tools usage and success rates. - Privacy & Compliance Built-In - redact or tokenize any sensitive information (regex based). - Speaks OpenAI and Anthropic dialects so you can route (and translate)…

    Oct 2025 · github.com

  18. 18FM

    Hi HN, We often run into this with coding agents like Claude Code: debugging turns into copy-pasting logs, writing long explanations, and sharing screenshots. FlowLens is an MCP server plus a Chrome extension that captures browser context (video, console, network, user actions, storage) and makes it available to MCP-compatible agents like Claude Code. You can try it here: https://magentic.ai/flowlens Any feedback—good, bad, or brutal—is welcome.

    Oct 2025 · magentic.ai

  19. 19IB

    I had 14,000 photos sitting on a drive and wanted an excuse to play with local vision models and Elixir/Phoenix. I originally tried to get LLaVA to tell me if a photo was 'good' or matched my style, but quickly learned that LLMs have terrible taste. I ended up demoting the LLM to just extract metadata, and built a custom CLIP/Ridge Regression pipeline to actually learn my preferences based on how I rate things. The stack is Phoenix/Oban on the orchestrator side, and Python/FastAPI/Instructor for the AI workers. Happy to answer any questions about the architecture,…

    Apr 2026 · qwelian.com

  20. 20SN

    Hey folks, I am finally posting a Show HN post for a project I have been working on for several months now, and it's in a state where I already get a lot of value myself, so I am happy to share broadly. The pitch line is: "Skybear.NET is a managed platform automating Synthetic HTTP API testing." At the moment, the main source file format supported for your API tests are Hurl.dev files [1]. Hurl is a CLI tool wrapping `curl` and it's really awesome. At least check that out :) I am not affiliated directly with the Hurl CLI tool, and the platform I am building provides full Hurl compatibility.…

    2024 · skybear.net

  21. 21KY

    Hey HN! I wanted to practice "vibe coding" and see how far and fast I can go by only prompting, without actual coding. I decided to make a simple CLI app that scrapes web docs into a single md file (I was annoyed that LLM keeps writing Tailwind 3 code for a Tailwind 4 project). In just a couple of hours, the CLI app was ready! Then iterated on arguments for another couple of hours. Result: https://github.com/vladstudio/web2llm Then I decided to go further and "productize" the CLI by making a web app for it. Another half-day, and the web app is ready!…

    2025 · web2llm.dev

  22. 22CT

    I had been looking to try <500M parameter language models but you wouldn't find an API to try them anywhere, so I built this cloudflare hosted static website that hosts weights and built an inference runtime for these models that uses WebGPU and runs inference from your browser. These are only so useful in a multi-turn conversation but it's still interesting to see what you can pack in a <250mb model. I tried using ONNX versions earlier, but there were too many quirks of using them with language models and the TPS wasn't too impressive. Inspired by svenflow&#x2F;webgpu-gemma, I put my codex…

    May 2026 · chonklm.com

  23. 23AO

    Hi HN, I'm excited to share some early tinkering on a project, autospec, an open-source QA agent for web applications. Right now it's not fully packaged for use, but I wanted to get the idea out early and am looking for design feedback, suggestions, and open source collaborators to join in. I wrote it over memorial weekend :) autospec uses vision and text language models to explore and generate commonsense e2e tests for web applications. The goal is human-like evaluation: assessing the entire UI as a user would, making decisions based on the actual state of the application at each step, with…

    2024 · github.com

  24. 24UA

    Recently several AI labs have published experiments where they tried to get AI coding agents to complete large software projects. - Cursor attempted to make a browser from scratch: https:&#x2F;&#x2F;cursor.com&#x2F;blog&#x2F;scaling-agents - Anthropic attempted to make a C Compiler: https:&#x2F;&#x2F;www.anthropic.com&#x2F;engineering&#x2F;building-c-compiler A few weeks ago I posted xmloxide, an agent-made Rust replacement for libxml2 made by pointing Claude code at the libxml2 test suite: https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=47201816 curl is arguably the most widely deployed…

    Mar 2026 · github.com

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