Show HN: Domainpuff.com – Find memorable domain names within your budget https://ift.tt/Kuv4xCr

Show HN: Domainpuff.com – Find memorable domain names within your budget Hi, Bruno here, creator of DomainPuff. Just launched this and would be awesome to have your feedback on it. Just put your business idea on the search box and your budget. It will find memorable domain names that are currently available and within your budget, with the link to acquire the domain if desired. So now you don't have to go back and forth from ChatGPT to NameCheap to find a domain for your next venture. Cheers! https://domainpuff.com/ October 1, 2026 at 01:25AM

Show HN: Strata – an expressive semantic layer that can say no to your LLM https://ift.tt/3IGrdJb

Show HN: Strata – an expressive semantic layer that can say no to your LLM Hello HN, I'm Ajo and I built Strata. I spent 4 years at Netflix solving self service for non-technical business users. I think I cracked it with my unique approach to semantic layer design. The key challenge is balancing expressiveness with ease of use for our non technical colleagues. It just so happens that focus made it work pretty well with LLMs too. Strata is a full stack solution. It includes a semantic layer, dashboards, subscriptions, and google sheets exports. All of it can be done view agent conversation or via MCP. Some key concepts and features: - Names are strict. Only one thing called Revenue can exist in a project. If revenue is mapped to multiple tables, the query grain plus speed will decide table. - Strict naming conventions lends itself to enabling Automatic data blending acrros fact domains. - Partition and Aggregate aware semantic routing. This allows you to load a portion of your data into a faster compute engine like Druid or ClickHose, while keeping full history in trino or something cheaper. The query engine will choose the faster tier if the query can be resolved there. - Complex measures: out of the box support for snapshot, LOD (include/exclude), Compound, and Auto leveling compound measures. - On top of the semantic layer users can create custom calculations that span fact domains. - Another interesting feature is the ability to create cohorts and apply as filter to an entire query or single measure within a query. We are deliberately not building a semantic layer that your BI tools connect to. I think that is a dead end. We have apis, and mcp for anything custom you want to build on top. Try it free on docker: https://strata.do/try/ Docs here to get you going: https://strata.do/docs/ This is an early beta version. It is NOT open source. However, the free tier includes up to 25 users. You should be able to run it entirely on your machine with docker. I would love to hear your feedback. Especially, those working with Looker and Cube. Thanks for reading! https://strata.do/try/ September 30, 2026 at 08:29PM

Show HN: The whole Solar System and every tracked satellite, live in the browser https://ift.tt/E18CGmJ

Show HN: The whole Solar System and every tracked satellite, live in the browser https://space.bl2.net/ September 30, 2026 at 12:38AM

Show HN: A working 3D model of an Enigma machine https://ift.tt/D4teKfr

Show HN: A working 3D model of an Enigma machine I watched the excellent Veritasium video [1] on the Enigma machine, and watched the full animation by Jared Owen [2], but was still a bit confused on how the inner mechanics of an Enigma machine work. I used Astra to build out the inner components through a combination of reference images, writing out hundreds of extremely detailed prompts, and building my own inspection tools to ensure that every part is sized and positioned in a historically accurate way. It's still a work in progress, but would love any feedback on the experience so far! 1. https://www.youtube.com/watch?v=JsBZOcqZerk 2. https://www.youtube.com/watch?v=ybkkiGtJmkM https://enigma.design September 29, 2026 at 10:45PM

Show HN https://ift.tt/oJMnZxD

Show HN This is origintracer a low level observability tool of the modern web stack. It observes nginx, Gunicorn, asynchronous Python, Uvicorn and Django and Langchain. Studies their codebases into great depth and write probes and rules libraries in Python to be used with the open source software: its link GitHub: https://ift.tt/Zx1yCEh September 29, 2026 at 05:28AM

Show HN: A never-ending chess match between Claude and Codex https://ift.tt/Wruw0em

Show HN: A never-ending chess match between Claude and Codex https://ift.tt/jLD7P65 September 29, 2026 at 02:32AM

Show HN: Personal Manga / Story Recaps https://ift.tt/pFtDkIz

Show HN: Personal Manga / Story Recaps I'm working towards manga to anime generation in a cheap way. The entertainment harness is the first step towards that. You can do your own manga recaps using local models or openrouter. And it's very extensible. If you generate a recap and post it online, please attribute it to the entertainment harness and terragohan :). https://terragohan.github.io/entertainment-harness/ September 29, 2026 at 01:05AM

Show HN: PHNTM ONE: Self healing AI assistant running on a Raspberry Pi5 https://ift.tt/nk0V3jJ

Show HN: PHNTM ONE: Self healing AI assistant running on a Raspberry Pi5 https://ift.tt/9klxI7p September 28, 2026 at 11:56PM

Show HN: Gat – Version large files with Git, without an LFS server https://ift.tt/RYcrb8z

Show HN: Gat – Version large files with Git, without an LFS server Hi HN, I built Gat because I wanted one thing from data versioning: check out an old Git commit and recover the datasets, model weights, or assets that belong to it. It's basically a lock file for large files. I’d appreciate any feedback! https://ift.tt/sLRiB1G September 27, 2026 at 10:50PM

Show HN: Lofi Cities – Pixel-art city nights with browser-generated lofi https://ift.tt/bKmXc3Z

Show HN: Lofi Cities – Pixel-art city nights with browser-generated lofi https://loficities.com/ September 28, 2026 at 12:14AM

Show HN: Blender Copilot https://ift.tt/KxpR3Gn

Show HN: Blender Copilot Deepseek generated Blender harness in 7USD. I wanted to remake my 6DoF spaceship flying prototype. What I did not want to do was model the spaceship. Manually. In Blender. So instead of spending a month learning to model, I built a Copilot inside Blender in a day. Which is the same thing, except I still cannot model. A chat panel in the 3D viewport sidebar. I type a sentence. The model writes Python, and it runs against my actual scene, the file open on screen, not a copy that some other process has to keep in sync. Then I sat down and had a conversation with my own addon. Five sentences: 1. Make a scifi looking spaceship. It should look scifi-y 2. Add RCS thrusters to get 6DoF flight 3. Make the RCS thrusters match the scifi look. And also position them properly. 4. Give the entire Spaceship a nice flying animation. Make it smooth. Roll and sway. 5. Add exhaust flames to main thrusters as well as RCS thrusters. animate the RCS thrusters to fire in sync with the animated motion. they should fire the correct ones so that expected motion should happen. 15 minutes. 52 tool calls. A ship with swept wings, a tail fin and a glass canopy. Four sets of steering thrusters, 22 exhaust flames. A full flight animation. The bit I did not expect. It checked every one of its own thrusters to make sure nothing was in the way. Found the rear ones were firing straight into the side of the ship. So it rebuilt them, angled them outward, moved them to the wingtips, and checked them all again. Nobody asked it to do that. It decided exhaust should not be firing into the ship it just built. Total bill for building the tool: $7.18. 3,833 requests, 613M tokens, 97% served from cache. One spaceship: about a seventh of a cent. Now the uncomfortable part. I didn't model a single vertex. I didn't read Blender's addon dev docs. I didn't learn its Python API, or how to draw a panel in it. Everything the tool needed to know, it asked the running Blender instead. I didn't learn how to build an agent harness either. I built one anyway. I didn't become a Blender artist. I became the person who gave hands to a model. Recently I read someone who described his new job: every spec, ticket and fix written by an AI, nobody reading any of it, twelve-hour days spent pressing enter. No sense of victory. I know exactly what he means. I just did the same. I am not proud of the prototype. Gamedevs were known to spend time making game engines before they started making the games. Its different now. No joy. https://ift.tt/ALvzkfj September 26, 2026 at 11:36PM

Show HN: Jev predicting your life choices https://ift.tt/IO9osUX

Show HN: Jev predicting your life choices Built a simple quiz to check whether AI (Jev) can simply learn and predict life choices. Experiment) https://quiz.seek.ws/ September 26, 2026 at 09:54PM

Show HN: Jev Plays Pokémon Red https://ift.tt/HN9P0Xv

Show HN: Jev Plays Pokémon Red Hey HN! Wanted to share a fun project I've been hacking on. Given Jev can make decisions really fast (but not fast enough to play Doom yet sadly), I wanted to try and push it to play a more complex game than Tetris. So I went with Pokémon. I've spent endless hours playing this game as a child so building this was a ton of fun. I open sourced everything in case you want to hack on it yourself here: https://ift.tt/VAukJm9 The game is being streamed live including the tokens and cost - hopefully we get all the badges and don't get stuck in a cave :) https://jev-pokemon.vercel.app/ September 25, 2026 at 07:58PM

Show HN: Paper-docx – agent-native Python-docx fork with 78% fewer DOCX failures https://ift.tt/aBwnDMp

Show HN: Paper-docx – agent-native Python-docx fork with 78% fewer DOCX failures https://ift.tt/cOqebRg September 26, 2026 at 12:35AM

Show HN: I couldn't deal with another Claude Code tab https://ift.tt/XLQBiEg

Show HN: I couldn't deal with another Claude Code tab https://aidash.dev/ September 25, 2026 at 11:52PM

Show HN: Radix – Visual UI for agentic programming https://ift.tt/t2ePXHM

Show HN: Radix – Visual UI for agentic programming Hey HN, I'm Jordan from Radix. Radix is a UI tool for programming agents. You prompt your agent to generate a workspace for a task you're working on and get an interactive widget that persists locally on disk. I built Radix because I always needed tools while I was writing code: tools to test little experiments, to play around with UI, to visualise results etc. Sometimes these would end up as python tools that read and plotted data, or separate React apps spun up just to test a single feature. Lately obviously I've been using Claude artifacts but these are quite limited. I wanted a system where it was easy to leave comments or adapt an artifact without having to give vague descriptions back to the agent, and where ideally I could actually shift away from a chat window as the main interface. I've got a pro version of Radix which I will launch soon. This current version is entirely free and is definitely a beta -- there will be rough edges! Note: There's no telemetry or data captured. Your messages run entirely through your own agent. I require a key but that's just to get an idea of how many people are using it. Everything is stored locally (the workspaces are actually just React apps which you can edit "artisanally" if you want). If you have any questions please reply here or email me hello@radix-os.com Thank you! https://radix-os.com September 25, 2026 at 12:05AM

Show HN: Treepeat – Code similarity detection using Tree-sitter https://ift.tt/oXDVcur

Show HN: Treepeat – Code similarity detection using Tree-sitter treepeat is a tool that finds similarities in your codebase. Find duplicate code blocks meaningful to the language (classes/functions), not just lines. Find near-duplicates: ignore whitespace, strings, high level AST nodes such as function and names. Find structurally similar code: anonymize identifiers, constants, etc. Pull requests welcome: This is very much an proof of concept - I'm happy with it, but I haven't supported very many languages at present. Languages supported: astro, bash, css, go, html, javascript, lua, markdown (plus codeblocks), python, sql, typescript, java, kotlin, rust, yaml https://ift.tt/mQ9ETWp September 22, 2026 at 10:23PM

Show HN: Conway's Game of Life in boot sector https://ift.tt/kDiXV9O

Show HN: Conway's Game of Life in boot sector Hello HN! On these weekends, I was sitting and thinking about where our industry is going, and how fun it was earlier, when we wrote more code than chat messages. The thoughts quickly turned into a wish to build something like we did earlier. In my case, it ended up as something much "earlier" than I had in mind initially... So, Conway's Game of Life running from a 512-byte x86 boot sector. Maybe you will find it interesting. I tried to comment the code as much as possible, which might be especially useful if you are learning assembly. Have fun! https://ift.tt/j6KgtPX September 21, 2026 at 11:58PM

Show HN: I built a post-mortem debugger for native Windows x64/x86 crashes https://ift.tt/c7laxtk

Show HN: I built a post-mortem debugger for native Windows x64/x86 crashes Hello HN! I've spent years debugging Windows crashes with tools that were either friendly but limited (e.g. Visual Studio) or powerful but archaic (e.g. WinDbg). I developed patterns and methods for understanding what was going on, and decided to build it into a much more effective debugging tool called ForensicDbg. I built a modern interface to minimize the friction when debugging. All of the data shown to you is analyzed, interpreted, and presented to you clearly, so you can focus on what matters. Everything is interlinked so you can quickly and intuitivly navigate through the process space. ForensicDbg comes with an MCP server which allows for agenic debugging. The work done to interpret and interlink your data also benefits AI tools. It removes the risk of hallucinations while building a stable foundation for them to work from without spending tokens. If you want to try it out you can sign up and get a free beta license here: https://ift.tt/N8gCnhd https://ift.tt/QY3mhbr September 24, 2026 at 12:45AM

Show HN: Crest – Answer Claude Code approvals from your MacBook's notch https://ift.tt/SuvdBaK

Show HN: Crest – Answer Claude Code approvals from your MacBook's notch https://ift.tt/plHN5iZ September 23, 2026 at 11:18PM