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AI · alternatives · 2026

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24 alternatives to Generate PCB Footprints from text using AI

Hi HN! This is a little project to generate PCB footprints from text descriptions. It works by teaching an LLM a compressed DSL representation for footprints. I think this is generally a good technique if you're trying to get LLMs to work on spatial problems. Right now I'm focused on reproducing footprint shapes, but after that I'll benchmark the correctness of the footprints using % overlap on known package descriptions, as well as a kicad_mod export I built this because I realized I needed to use AI to help tscircuit catch up to the decades of electronic design tool progress that I'm not…

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Generate PCB Footprints from text using AI launched in 2024; newer entries below may have overtaken it.

  1. 1

    Hey HN! Author of the site here. I tried a few tricks to keep the text-generation part of the site up, but even leaning hard on Huggingface's API and bumping time-outs up, it looks like the site is struggling a bit. I'm going to see if there's anything I can do to keep the text-generation part available, but in the meantime, the pre-generated set should stay pretty stable. Not sure if there's much else I can do without burning a hole in my cloud bills — sorry for the troubles! I've put up a more detailed description of how this works on the GitHub -…

    2022 · thisaidoesnotexist.com · its alternatives →

  2. 2KR

    I got DOOM running in KiCad by rendering it with PCB traces and footprints instead of pixels. Walls are rendered as PCB_TRACK traces, and entities (enemies, items, player) are actual component footprints - SOT-23 for small items, SOIC-8 for decorations, QFP-64 for enemies and the player. How I did it: Started by patching DOOM's source code to extract vector data directly from the engine. Instead of trying to render 64,000 pixels (which would be impossibly slow), I grab the geometry DOOM already calculates internally - the drawsegs[] array for walls and vissprites[] for entities. Added a…

    Nov 2025 · mikeayles.com · its alternatives →

  3. 3
    X-Pilot▲328

    Hi HN, I'm Heshan, founder of X-Pilot. We're building an AI Video Generator for online courses and educational content. Unlike most text-to-video generator that render videos directly from models (which often produce random stock footage unrelated to the actual content), we take a code-first approach: generate editable code layers, let users verify/refine them, then render to video. The Problem We're Solving Most AI video generators treat "education" and "marketing" the same—they optimize for "looks good" rather than "logically accurate." When you feed a technical tutorial or course…

    Apr 2026 · x-pilot.ai · its alternatives →

  4. 4
    TypMo▲154

    Hello HN! I’ve been working on a small tool that helps you move from quick wireframe experiments to solid, production-ready prompts. As a designer, I’ve always felt that getting the structure right early saves a ton of pain later. TypMo leans into that idea by grounding everything in IA-style wireframes- fast to create, easy to iterate, and perfect for figuring out what you actually mean before throwing prompts at AI. I’m now pushing it a step further with a lightweight DSL. Still early, still rough around the edges, but with some AI help it’s starting to feel real. Would love to hear what…

    Dec 2025 · typmo.com · its alternatives →

  5. 5

    Hey HN! I'm Zach from Adam (https://adam.new/). We’re building an AI co-pilot for mechanical CAD software. As part of our broader research, we built a browser-based Text-to-CAD app (https://news.ycombinator.com/item?id=44182206) and are now open sourcing it. This is a React SPA with a Supabase backend. What it does: * Generates parametric 3D models from natural language descriptions, with support for both text prompts and image references * Outputs OpenSCAD code with automatically extracted parameters that surface as interactive sliders for instant dimension…

    2025 · github.com · its alternatives →

  6. 6

    Hey HN, I built ProductMap AI, a tool that automatically identifies features implemented in source code and organizes them in a visual hierarchy. The goal is to help developers quickly understand poorly documented codebases. Link: https://product-map.ai/ I’d love feedback from the HN community! Let me know what you think. Would this be useful for you?

    2025 · product-map.ai · its alternatives →

  7. 7

    Automatically build parts with computer vision.

    2017 · snapeda.com · its alternatives →

  8. 8RA

    I've been begrudgingly working on autorouters for 2 years, looking for new techniques or modern methods that might allow AI to create circuit boards. One of the biggest problems in my view for training an AI to do autorouting is the traditional grid-based representation of autorouting problems which challenges spatial understanding. But we know that vision models are very good at classifying, so I wondered if we could train a model to output a path as a classification. But then how do you represent the path? This lead me down the track of trying to build an autorouter that represented paths…

    Feb 2026 · pattern-pathfinder.vercel.app · its alternatives →

  9. 9

    Generate Seamless Patterns with AI

    2022 · patterned.ai · its alternatives →

  10. 10

    New generation WordArt

    2023 · stockimg.ai · its alternatives →

  11. 11

    Generate beautiful patterns for everything using AI

    2023 · more.graphics · its alternatives →

  12. 12

    Chain text, image and video AI models on a whiteboard

    2025 · its alternatives →

  13. 13
    CodeGuide▲126

    Generate PRDs, specs and wireframes your AI understands.

    Mar 2026 · codeguide.dev · its alternatives →

  14. 14

    Free AI text to CAD generator

    Jun 2026 · textocad.com · its alternatives →

  15. 15

    Prompt to production-ready Hardware designs for manufacture

    May 2026 · vibeengineer.iorchestra.ai · its alternatives →

  16. 16

    I've been exploring the (not so=) amazing potential of AI in coding and have compiled a list of tools. From AI-powered IDEs to code generators, this resource is my contribution to the community. I'm still on the fence about including txt2sql projects, as their functionality seems too basic to me. And I'm personally maintaining this, so your feedback is wellcome.

    2025 · aicode.danvoronov.com · its alternatives →

  17. 17

    Discover the power of Flux Copilot, an AI hardware assistant that can wire up your schematic diagrams effortlessly. Harnessing Generative AI for Cutting-Edge Hardware Design: Embrace the Future

    2023 · flux.ai · its alternatives →

  18. 18EP

    Hi folks, we just released the ability to export our library of schematic symbols and PCB footprints to Mentor PADS. This is a beta release so it would be great to get your feedback. To try it, search for a part on SnapEDA (http://www.snapeda.com), click download and then select "PADS" as the format. You can try it out on this part here directly if you prefer: http://www.snapeda.com/parts/PIC32MX250F128B-I/SS/Microchip/view-part/

    2015 · its alternatives →

  19. 19

    Hi HN, I built ImgEnhancer.ai, an AI-powered tool that lets you: - Upscale low-resolution images with high clarity - Transform styles and aesthetics with filters - Generate brand-new visuals from text prompts I created this because I found existing tools either too slow, low-quality, or complicated for everyday creators. My goal was to make something fast, intuitive, and—hopefully—magical to use. It’s free to try right now. I’d love feedback from this community on: 1. Image quality vs. similar tools 2. Ideas for features that could be valuable 3. Any edge cases or limitations you think are…

    2025 · imgenhancer.ai · its alternatives →

  20. 20

    Download free symbols, PCB footprints, and 3D models for thousands of TE Connectivity components. The largest source of verified PCB libraries.

    2018 · snapeda.com · its alternatives →

  21. 21KC

    If you’ve ever been curious about how GPT actually works under the hood, I built a small project you might find interesting. I implemented a GPT-style transformer from scratch in a single notebook—covering tokenization, embeddings, causal self-attention, training, and autoregressive text generation without relying on high-level abstractions. The focus was on mechanistic clarity rather than scale or performance, and the notebook is structured to read more like a technical walkthrough than an experiment log. Feedback from people who’ve built or studied transformers would be very welcome.

    May 2026 · pythongiant.github.io · its alternatives →

  22. 22BI

    Hello HN, Recently an amazingly beautiful explainer was shared on HN: https://explainers.blog/posts/why-is-the-sky-blue/ I loved it so much that I wished more topics were explained that way. So, I decided to stress-test today's frontier models (Opus 4.6 in Claude Code) to generate similar explainer on any given topic WITH (almost) one shot and minimal nudging. I'm launching with four topics: Fourier transformation, scaling laws in bio, cellular automata and LLMs. I would let you be the judge, but I'm quite liking them. Some things I learned: - Prompting CC to test…

    Feb 2026 · paraschopra.github.io · its alternatives →

  23. 23
    LegoGPT▲23

    AI that designs buildable, stable LEGO models from text

    2025 · avalovelace1.github.io · its alternatives →

  24. 24

    AI Engineering Agent for Hardware Product Design

    2025 · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →