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Show HN: CLI tool for detecting non-exact code duplication with embedding models

Show HN: CLI tool for detecting non-exact code duplication with embedding models

Show HN: A graph paper generator that renders vector PDFs in the browser

Show HN: A graph paper generator that renders vector PDFs in the browser

Show HN: Mail Memories – A desktop app to rescue photos from Gmail

Hey HN, I’m the creator of Mail Memories. Like many of you, I've had my Gmail address for more than 20 years. A few years ago, I got curious and wanted to see what photos were buried deep in my account. I ended up finding lots of "lost" pictures of old friends, family members, and a ridiculous number of vintage memes.<p>I originally built and launched this as a SaaS, but even with code and policies in place that kept users' photos private, I figured everyone would feel more comfortable with a desktop app.<p>So, I threw out the server architecture and completely rewrote it as a 100% local desktop app for Mac and Windows.<p>How it works now: The app connects directly to Google's server from your computer, processes everything entirely on your system, and saves photos straight to your hard drive.<p>You can download your 50 oldest photos for free (no credit card required) just to see what's in there. If you want to download all the pictures in your account, it's a one-time payment of $29. No subscriptions.<p>If you have an old, pre-2010 Gmail account, definitely give it a spin. You'll be surprised at what you find deep in your archive.<p>I'd love to hear your feedback on the layout, scanning performance, or anything else.<p>TL;DR: I turned my SaaS into a local desktop app (Mac/Windows) that recovers decades of forgotten photos from your Gmail. 100% local, no cloud, no subscriptions, no AI.

Show HN: ZeroFS – A log-structured filesystem for S3

Show HN: ZeroFS – A log-structured filesystem for S3

Show HN: PMB – local memory for coding agents that shows if it is used

Show HN: Frond – a frontend runtime for your app's dependency graph

Show HN: Salt – a systems language with Z3 theorem proving in the compiler

Show HN: Pglayers – PostgreSQL extensions as stackable Docker layers

Show HN: Z-Jail – A 130 KB Linux sandbox-C99 with 7 defense layers and zero deps

Show HN: HackerNows – Native iOS HN Client

Show HN: QR code renderer in a TrueType font

In the "Libre Barcode Project" discussion yesterday, 1bpp asked: "Is anyone willing to sacrifice their sanity for the sake of implementing a QR renderer as TTF hinting code?"<p>Yes. I had some tokens to burn and was curious... turns out, it's possible. This was put together by a mix of Gemini, GPT, and Claude (depending on which usage limits kept running out).

Show HN: QR code renderer in a TrueType font

In the "Libre Barcode Project" discussion yesterday, 1bpp asked: "Is anyone willing to sacrifice their sanity for the sake of implementing a QR renderer as TTF hinting code?"<p>Yes. I had some tokens to burn and was curious... turns out, it's possible. This was put together by a mix of Gemini, GPT, and Claude (depending on which usage limits kept running out).

Show HN: GolemUI – Declarative Form Engine

We're a team of three friends who have been working with forms and Open Source for a decade, and we joined forces together to create something where we can apply all of our experience.<p>We recently released GolemUI, an Open Source library to generate forms dynamically from JSON definitions, with a typed layer to simplify authoring.<p>This library has a lot to offer. These are the main characteristics:<p>1. A JSON engine. The form is governed by a JSON definition that you can store in a DB, version, diff, or generate it with LLMs as a validated JSON.<p>2. We provide also 28 headless components (and growing) that you can style with CSS variables. We offer APIs so you can drop in Material, Shoelace, or your own components.<p>3. A DX typed authoring layer on top to write forms programmatically, that generates JSON. So you don't have to write it.<p>4. The same definition can render the UI components in React, Angular, Vue, Lit, or Vanilla JS.<p>5. We also have a deterministic MCP that has tools for to validate the model's output, generate JSONs or code, and ensure that the definition returned by the LLM is always valid.<p>You can find more information here:<p>Happy to hear any feedback from you and answer any questions!

Show HN: GolemUI – Declarative Form Engine

We're a team of three friends who have been working with forms and Open Source for a decade, and we joined forces together to create something where we can apply all of our experience.<p>We recently released GolemUI, an Open Source library to generate forms dynamically from JSON definitions, with a typed layer to simplify authoring.<p>This library has a lot to offer. These are the main characteristics:<p>1. A JSON engine. The form is governed by a JSON definition that you can store in a DB, version, diff, or generate it with LLMs as a validated JSON.<p>2. We provide also 28 headless components (and growing) that you can style with CSS variables. We offer APIs so you can drop in Material, Shoelace, or your own components.<p>3. A DX typed authoring layer on top to write forms programmatically, that generates JSON. So you don't have to write it.<p>4. The same definition can render the UI components in React, Angular, Vue, Lit, or Vanilla JS.<p>5. We also have a deterministic MCP that has tools for to validate the model's output, generate JSONs or code, and ensure that the definition returned by the LLM is always valid.<p>You can find more information here:<p>Happy to hear any feedback from you and answer any questions!

Show HN: Searchable directory of 22k+ products from worker-owned co-ops

Show HN: Searchable directory of 22k+ products from worker-owned co-ops

Show HN: Vaghenu, a meter aware sloka-to-chant, TTS for Sanskrit

A 15-year-old dream has come true today. I started a PhD with the dream of creating a system that chants any Sanskrit shloka perfectly.<p>And here I am opening sourcing Vaghenu, a meter aware sloka-to-chant, TTS for Sanskrit . This is the world's first vrutta-aware, open-source TTS for Sanskrit Chanting. I am making the model weights, training scripts, and even data (that I meticulously collected) public - <a href="https://prathosh.in/vagdhenu/" rel="nofollow">https://prathosh.in/vagdhenu/</a><p>No large AI lab. No big engineering team. No venture-scale budget. Just a professor's conviction that one of humanity's oldest knowledge traditions deserves modern, open infrastructure.<p>The name comes from the Upanishadic phrase: "Vācaṃ dhenum upāsīta" - Like the mythical wish-fulfilling cow, Vāgdhenu is intended to make Sanskrit texts more accessible to students, teachers, researchers, and devotees everywhere.<p>Test out the live demo here and let me know your comments - <a href="https://prathosh.in/vagdhenu/" rel="nofollow">https://prathosh.in/vagdhenu/</a><p>The entire system, from data collection to model building and demos, is built by a single person (your truly) using the powerful harness that we are building at LatentForce.<p>I have attached a sample audio file generated by the system.<p>P.S: Posting on behalf of my friend, their aren't on HN.

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