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  1. 1KN

    2014 · kimonify.kimonolabs.com

  2. 2FL

    Hi HN! Erik here from Banana (formerly the serverless GPU platform), excited to show you what we’ve been working on next: Fructose Fructose is a python package to call LLMs as strongly typed functions. It uses function type signatures to guide the generation and guarantee a correctly typed output, in whatever basic/complex python datatype requested. By guaranteeing output structure, we believe this will enable more complex applications to be built, interweaving code with LLMs with code. For now, we’ve shipped Fructose as a client-only library simply calling gpt-4 (by default) with json…

    2024 · github.com

  3. 3
    Douzo127

    Free Japanese typing practice organized by JLPT level

    Mar 2026

  4. 4PI

    For far to long ingredient parsers been unavailable to the public. Either due to obsene complexity: https://github.com/nytimes/ingredient-phrase-tagger Or because of the dreaded paywall: https://github.com/mtlynch/zestful-client Wait no longer, I introduce PyIng. An easy to use python package for changing this "2 ounces of spicy melon" into this {name: melon, unit: ounces, qty: 2.0}. https://github.com/whitew1994WW/PyIng

    2022

  5. 5LJ

    Hi HN, Just wanted to share a tool i've been working on to help with my own study routine. It’s a browser extension called Lingoku. The idea is simple: we spend hours browsing the web in English every day. This tool replaces some of the english words with Japanese vocabulary based on your japanese level (Similar to Toucan, but with a better user experience). It’s basically an attempt to make the "i+1" method actually passive, you understand the sentence because it's mostly english, but you pick up Japanese words naturally from the context. It uses an LLM in the backend to make sure the…

    Dec 2025 · lingoku.ai

  6. 6RL

    We've been building data pipelines that scrape websites and extract structured data for a while now. If you've done this, you know the drill: you write CSS selectors, the site changes its layout, everything breaks at 2am, and you spend your morning rewriting parsers. LLMs seemed like the obvious fix — just throw the HTML at GPT and ask for JSON. Except in practice, it's more painful than that: - Raw HTML is full of nav bars, footers, and tracking junk that eats your token budget. A typical product page is 80% noise. - LLMs return malformed JSON more often than you'd expect, especially with…

    Mar 2026 · github.com

  7. 7AT

    Hi HN, I’m part of the team building Sniphi. Sniphi is a modular digital nose that uses gas sensors and machine-learning models to convert volatile organic compound (VOC) data into a machine-readable signal that can be integrated into existing QA, monitoring, or automation systems. The system is currently in an R&D phase, but already exists as working hardware and software and is being tested in real environments. The project grew out of earlier collaborations with university researchers on gas sensors and odor classification. What we kept running into was a gap between promising lab results…

    Mar 2026 · sniphi.com

  8. 8CA
  9. 9MT

    https://github.com/mcp-shark/mcp-shark Site: https://mcpshark.sh/ I built MCPShark, a traffic inspector for the Model Context Protocol (MCP). It sits between your editor/LLM client and MCP servers so you can: • See all MCP traffic (requests, responses, tools, resources) in one place • Debug sessions when tools don’t behave as expected • Optionally run “Smart Scan” checks to flag risky tools / configs

    Dec 2025

  10. 10AS

    Took a stab at building my own string diffing JS package. I built an interactive demo for TypeIt’s website (https://typeitjs.com/build-your-own) a while back. The approach I took to handle user input necessitated a way to calculate the difference between the versions of a user’s text input. I searched around for a package to help me out and found a couple of good ones (like fast-diff), but I either didn’t really like their API or didn’t want to take on a huge new dependency. Instead, I thought I’d give it a shot myself (famous last words). I dove into it having no real formal…

    2022

  11. 11LA

    Hi HN, Working with multiple projects, I got tired of re-explaining our complex multi-node system to LLMs. Documentation helped, but plain text is hard to search without indexing and doesn't work across projects. I built Linggen to solve this. My Workflow: I use the Linggen VS Code extension to "init my day." It calls the Linggen MCP to load memory instantly. Linggen indexes all my docs like it’s remembering them—it is awesome. One click loads the full architectural context, removing the "cold start" problem. The Tech: Local-First: Rust + LanceDB. Code and embeddings stay on your machine. No…

    Dec 2025 · github.com

  12. 12TJ
  13. 13

    Show your waiter what you can't eat in Japanese

    Jun 2026 · tabemasen.io

  14. 14

    Industrial Truck Mounted Cleaning Equipment | Konsolidated

    Apr 2026

  15. 15GA

    Hey HN! I built Gojju, a programming language that cherry-picks my favorite features from 5 languages: - Python: List comprehensions, slicing - Ruby: #{interpolation}, postfix if, blocks - Haskell: |> pipe operator, lambdas \x -> x+1, Maybe/Either - Perl: unless/until, regex literals - JavaScript: Arrow functions =>, spread ... Example: [1, 2, 3, 4, 5] |> filter(\x -> x % 2 == 0) |> map(\x -> x * 2) |> sum Install: `pip install gojju` The name "Gojju" (ಗೊಜ್ಜು) means "essence" or "secret ingredient" in Kannada. Would love feedback on the syntax choices!

    Jan 2026 · hemanth.github.io

  16. 16SM

    This is nothing special but it has been very very nice to kick off cleaning jobs remotely via MCP. Working towards a genuinely smart home and this was a useful step in the right direction.

    Jun 2026 · github.com

  17. 17

    Für strahlend gesunde Haut.

    Jul 2026 · yenkiderm112.blogspot.com

  18. 18

    Scan food labels and decode ingredients instantly with AI

    Jul 2026 · checkfuud.app

  19. 19SB
  20. 20

    Wollen sokken: natuurlijke warmte en ultiem comfort

    Apr 2026 · mongolianmade.nl

  21. 21

    Rédigez vos bilans orthophoniques en moins de 10 minutes

    May 2026 · orthonie.fr

  22. 22LF
  23. 23

    Local-first diff for JSON, cURL, cookies and .http

    Jul 2026 · difflens.io

  24. 24RE

    I have been working on a digital lace pattern exploration tool and sought to gather some feedback. I’m planning on submitting it to the Sveltehack competition ending later this month. Feedback welcome and you can share your own creations as the state is fully encapsulated in the URL hash. If you’d like to know how the sausage gets made, it’s over at https://github.com/mxdvl/mxdvl/pull/237 The state is saved in the URL hash, so you can share creations like so: https://www.mxdvl.com/works/rosace#shape/NoIgpgdgTgXgngcwKwG...

    2023 · dotcom-git-rosace-sveltehack-mxdvl.vercel.app

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