Show HN: We beat Cloudflare's bot detection (open-source stealth browser) https://ift.tt/YyDUmBQ

Show HN: We beat Cloudflare's bot detection (open-source stealth browser) https://ift.tt/4z3Jcjq July 11, 2026 at 05:56AM

Show HN: SubjectiveZero, an open-source agentic node editor for creative coding https://ift.tt/mr3N0GZ

Show HN: SubjectiveZero, an open-source agentic node editor for creative coding Hey there, My name is Clem, I've been a solo indie dev for a couple years now, exploring frontier tech like XR and agentic workflows in the context of creative / interactive work. I've been building creation tools for a while and some common design challenge is to figure out the right level of abstraction for your tool. You can always make it super advanced and complex with low level concepts (shader composition, actual code etc.) but then you get something with a high complexity / learning curve. On the other hand, if you make your tool too high level, it might be easier to use at first, but people will most likely hit a wall eventually and start fighting with your tool to get their edge case done (you see that on mobile a lot actually). With this prototype (called SubjectiveZero), I'd like to imagine that we can kind of move the "slider" on the abstraction layer, meaning that you can actually start with prompts that describe the goal, and you can go as high level (stay with abstract prompts) or low level as you'd like (more specific prompts, or even edit the generated code directly)! The agent orchestration actually understand your context and work along side with you to figure out what could be the best node graph structure for your project (that and some fun little procedural UI done at the node level). If i had to pitch it in 30 seconds, I'd say "Think TouchDesigner and friends but with agent orchestration". When you use it, it will generate real native code (Swift/Metal for now) that you can actually hot reload and iterate on either manually or through agents. It's still an early prototype and macOS only for now, but I'd love to get genuine feedback that could help me drive where this project should go next (or not). Lastly, I'm absolutely open and upfront on the fact that I used agentic coding for this, but as people say: "kept on a short leash". The architecture and specs were relatively well thought out and I personally prefer to be in the loop and review all the code being written to make sure it's going in the right direction. Oh and it's open source :-) Hope you like it! https://ift.tt/Ks2GPwz https://ift.tt/Ks2GPwz July 10, 2026 at 08:53PM

Show HN: Wyrm – Solve algebra by touch, built on an open-source soundness engine https://ift.tt/c39dMLX

Show HN: Wyrm – Solve algebra by touch, built on an open-source soundness engine There is a mobile game called DragonBox. It sort of tricks you into learning algebra by starting with very abstract manipulations of a puzzle that must follow rules... gradually the game teaches you more and more rules and also strips out the more abstract elements until on the last levels you are finally solving real equations. I loved it, it taught my kids algebra.... and it was just fun. Over the years I often thought that there should be a calculator for Algebra that works this way... something where you can drag terms around and cancel & distribute with gestures, but most importantly enter your own problems. It should also do more kinds of problems than DragonBox allowed. So I finally decided to build it. https://dicroce.github.io/wyrm/home.html Here's a video showing it: https://www.youtube.com/watch?v=_STbS4zvIlU . If you'd rather just play with it: there's a limited in-browser demo (real engine, a few example equations, no download) on the landing page — https://dicroce.github.io/wyrm/home.html . The app can be found on iOS ( https://ift.tt/5CI1tEG ) and as of this week on Google Play ( https://ift.tt/0H7RAm2... ). I also decided to open source the underlying math engine so others could build on it: https://ift.tt/P1iHdqQ . My goal for the engine btw is to build it all the way up to Calculus. Monetization is deliberately boring: the engine is free (MIT), and the polished gesture app is $4.99 once. No subscriptions, ads, accounts, or analytics. I'd love feedback on the engine design — especially from anyone who's worked on CAS or proof-assistant-adjacent problems. And if you played DragonBox as a kid and wished it went further: this is for you! https://ift.tt/P1iHdqQ July 9, 2026 at 04:46PM

Show HN: Real-time n-body tree code in CUDA https://ift.tt/wuI09sD

Show HN: Real-time n-body tree code in CUDA Sharing an old project of mine, on my RTX 500 Ada laptop GPU, it can simulate up to 4 million particles at ~400 ms per step using the Barnes-Hut algorithm, saturating the 4GB of VRAM available. The octree construction is fast, as well as the traversal. The major bottlenecks are the VRAM usage (1 million bodies require ~1GB), which could be probably halved by reusing intermediate buffers, and the particle to leaf evaluation, which would benefit from more fp32 FLOPS. Moreover, I still don't have a good heuristic to predetermine the size of the BFS queue, perhaps some sort of memory paging could solve the issue. https://ift.tt/V5k6CwM July 10, 2026 at 09:17PM

Show HN: Getting GLM 5.2 running on my slow computer https://ift.tt/wUr2mso

Show HN: Getting GLM 5.2 running on my slow computer The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context. How it responds in int4 and whether the quality is maintained or not. Until I got to the point, on my computer with 32GB of RAM, I was able to communicate with GLM 5.2 with times that, of course, aren't high in cold start, but even then, we're talking about 0.1 tok/s, but that wasn't important to me. The important thing was the journey to reach this goal and, above all, changing the perspective on the project. I wanted it to work at all costs, even slowly. So I created Colibrì, which was born from a very simple idea, to be honest, but tested in every way, where a 744B Mixture-of-Experts model activates only ~40B parameters per token—and only ~11 GB of those change from token to token (the routed experts). So: The dense part (attention, shared experts, embeddings—~17B params) stays resident in RAM at int4 (~9.9 GB); The 21,504 routed experts (75 MoE layers × 256 experts + the MTP head, ~19 MB each at int4) live on disk (~370 GB) and are streamed on demand, with a per-layer LRU cache, an optional pinned hot-store, and the OS page cache as a free L2. The engine is a single C file (c/glm.c, ~1,300 lines) plus small headers. No BLAS, no Python at runtime, no GPU.No GPU or serious hardware because I don't have that hardware so I can't test it on hardware that is more powerful than my computer.Colibrì is a one-person project, written and tested entirely on a 12-core laptop with 25 GB of RAM — the numbers above are the ceiling of what I can measure at home. Any feedback is welcome! Repo: https://ift.tt/bQ8Xi2v https://ift.tt/bQ8Xi2v July 9, 2026 at 01:35PM

Show HN: Codex Explorer, a local session manager for Codex CLI https://ift.tt/G6Vp92a

Show HN: Codex Explorer, a local session manager for Codex CLI https://ift.tt/zpRKMbi July 9, 2026 at 11:53PM

Show HN: Onboard-CLI, a LLM powered and AST-based tool to visualize codebase https://ift.tt/CNG9Kda

Show HN: Onboard-CLI, a LLM powered and AST-based tool to visualize codebase https://ift.tt/UEXyNsS July 9, 2026 at 01:39AM

Show HN: Skill-extractor turns coding agent transcripts into reusable skills https://ift.tt/JtLaQHI

Show HN: Skill-extractor turns coding agent transcripts into reusable skills https://ift.tt/HK7fx4M July 9, 2026 at 01:33AM

Show HN: REST - Living Without Burnout. A manifesto about sustainable discipline https://ift.tt/lW7iT84

Show HN: REST - Living Without Burnout. A manifesto about sustainable discipline Lately, I’ve been thinking a lot about what gives me energy and what slowly takes it away. Those thoughts eventually turned into a small manifesto I called REST. https://themanifesto.rest/ July 9, 2026 at 01:12AM

Show HN: Hnwork.app – UI for Who is hiring posts https://ift.tt/lALUxfZ

Show HN: Hnwork.app – UI for Who is hiring posts Hey HN, I built a UI on top of the "Who is hiring" posts. Take a look at https://hnwork.app ! One of the downsides of unstructured text posts is the readability due to it being free-form and having little to no format. While there are other tools that have been built over the years to make perusing Who is hiring posts easier, I took a try on making my own (I actually tried to build this at a YC hackathon a few years back, but got around to completing it recently). Features: - Text search and search filters - Original post text with call outs to important information - Removes posts that aren’t on topic (complaints, seeking work, vague or missing contact info) - Analytics - API In addition, job posters can create accounts to submit postings through the app. While I don’t expect posting to move over to this app, it’s what I envisioned what a Who is hiring thread would like as an app: - Structured postings with required fields (e.g., salary range required) - Job posters get notifications about comments on their posts - Job posters get verified through their email before posting (e.g., someone posting a Sony job has a Sony email address) - Companies with multiple job posters can coordinate postings and view past postings - Admins can audit and approve companies and posts Job seekers can also create an account to post comments or get access to a simple API but otherwise browsing doesn’t require any kind of signup/signin. I’m open to feedback: let me know if you’d like me to ingest more data from past months, something is missing or broken, or there’s a new feature you’d like to see. Thanks! https://hnwork.app/ July 9, 2026 at 01:30AM

Show HN: Fork – Let users build features on top of existing applications https://ift.tt/Qbe3KUN

Show HN: Fork – Let users build features on top of existing applications Our initial release is a Chrome extension that builds on top of Gmail and Google Calendar. We keep limited trace activity of coding sessions for 30 days to troubleshoot and improve our offering. No data (events, emails) from Google is ever logged or retained. 50 second demo: https://www.youtube.com/watch?v=JQ292bncO_c Chrome extension (free + no login): https://ift.tt/GBlcWA4... We have a lot to learn and build. Would love any and all feedback! Paul & Dalton https://withfork.co/ July 7, 2026 at 11:47PM

Show HN: Record, replay, and improve AI agents in production https://ift.tt/DgRMn3C

Show HN: Record, replay, and improve AI agents in production At the AI Engineering World's Fair a big part of the conversation was to nail the self improvement loop. Our take on this is to record state of the agent execution with a durable runtime, then allow users to replay from state checkpoints and run 'what-if' experiments. It's OSS and free to use. Would love some feedback from the community. https://ift.tt/dKjtxMD July 6, 2026 at 10:56PM

Show HN: Handoff – a verified context bridge between Claude Code sessions https://ift.tt/5JoXiBI

Show HN: Handoff – a verified context bridge between Claude Code sessions https://ift.tt/ozrv3eP July 5, 2026 at 10:48PM

Show HN: I built an encrypted BLE dongle for pasting stuff to air-gapped devices https://ift.tt/V8miX0g

Show HN: I built an encrypted BLE dongle for pasting stuff to air-gapped devices Definitely one of those "20 minute adventure gone wrong" projects where all I wanted initially was a quick wireless rubber ducky for bitlocker keys and the like and then I kept adding stuff like AES-256..... Currently working on adding WebAuthn/FIDO support because the hardware is already there and scope creep is a lifestyle at this point. Would love feedback, especially on the security side. Repo and PCB files are fully open source. https://ift.tt/tB3ZcD6 July 5, 2026 at 02:43AM

Show HN: Gemma 3 inference in pure C++ with Metal acceleration https://ift.tt/OLeSf1w

Show HN: Gemma 3 inference in pure C++ with Metal acceleration https://ift.tt/kHWniYq July 4, 2026 at 09:24PM