Show HN: Fleet – a local-first console for managing Dockerized Hermes AI Agents https://ift.tt/Ea9ikur

Show HN: Fleet – a local-first console for managing Dockerized Hermes AI Agents https://ift.tt/ZcVaitW June 30, 2026 at 02:01AM

Show HN: The UNESCO Tsunami Warning Emails Are Gone https://ift.tt/0ip3sAX

Show HN: The UNESCO Tsunami Warning Emails Are Gone This key piece of tsunami warning and safety was discontinued this morning and evidently there's no way to get it back. :/ https://ift.tt/XoKwMxi June 29, 2026 at 11:36PM

Show HN: Use-zerostack – delegate any task to a lightweight coding agent https://ift.tt/GfmJEcv

Show HN: Use-zerostack – delegate any task to a lightweight coding agent https://ift.tt/TueFbAJ June 29, 2026 at 01:03AM

Show HN: NanoEuler – GPT-2 scale model in pure C/CUDA from scratch https://ift.tt/2KW9P3X

Show HN: NanoEuler – GPT-2 scale model in pure C/CUDA from scratch Hi everyone, I started working on nanoeuler after the ban of anthropic's fable because my ambition and dream is to work in the AI field in anthropic. The two interesting reasons that led me to create nanoeuler were (1) interfacing with llm does not mean understanding how they are composed and (2), working on llm with a very low-level layer to understand the correlation between parameters and data and growth of the model and how the GPU works and how some layers can be optimized. So I started working on it with a research aspect by making nanoeuler grow more and more but doing one step after another starting from Shakespeare.txt and understanding what a text generation model understands at 23 million parameters. For example, nanoeuler at that number had understood that Name: started a line and wrote that line with sense. I wrote everything in CUDA because I wanted to not use any intermediary between the model in training and inference and what it had to do. Then the use of SFT and much more, even if in small ways, were really useful to understand the various step to make an llm like a chatbot.Any feedback, help, or suggestions are absolutely welcome! https://ift.tt/gQBjXKm June 29, 2026 at 01:08AM

Show HN: Caliper – pass@k reliability testing for Claude Code and Codex skills https://ift.tt/zc2jOVN

Show HN: Caliper – pass@k reliability testing for Claude Code and Codex skills Skills for Claude Code and Codex are hard to test. What I mean by hard is that there's no standard way to do it. You evaluate the skill once on something, it looks like it works. You publish it. Then the new super model releases (GLM 5.2 anyone?), it will quietly break for some part, and you won't find out until your users complain. I also faced the same problem, so I tried to build something lightweight to stop doing that. Caliper. It's a local and lightweight harness that runs a skill k times in isolated environments and gives you a pass@k score (How much times it succeeded in these k times). As a non-deterministic technology, you can't just say "it worked once". You need to answer how much it passed in k times. You define success in a YAML spec. I picked YAML to keep a schema and make it still readable for a human. You either use a LLM judge, a Python assertion, or both: Here's an simple evaluation example with a JSON extraction, so you write this in a YAML file: tasks: - name: Extracts action items as clean JSON prompt: "Read /tmp/transcript.txt and write the action items to /tmp/actions.json." expect: "A valid JSON array where every item has owner, task, due. No markdown fences." assert: | import json items = json.load(open("/tmp/actions.json")) assert isinstance(items, list) assert all({"owner","task","due"} <= i.keys() for i in items) Then with the CLI, you'll run it: caliper run extract-actions.eval.yaml --k 5 --baseline What's cool about the --baseline flag is that it will re-runs everything without the skill, so you can see whether the skill is doing the work or the base agent was going to pass anyway: ID Task k(5) pass@k task-1 Extracts action items as JSON 5/5 100% PASS With skill 100% No skill 60% Delta +40% Most models know how to get the JSON right most of the time (JSON extraction was solved by 2 years old already). But that's it, "most of the time" is the bug. That delta shows how the skill actually helped. (It's sometimes 0%, sometimes -100%!) I also created two skills you can get started right away with your favorite harness, e.g. Claude Code, Codex or Pi: - evaluate-skill: run and manage evals without leaving your workflow - grill-skill: reads your SKILL.md, interviews you about what "good" looks like, writes a 3-task spec (happy path, edge case, adversarial), and runs it You can install the skill with the command: npx skills@latest add edonadei/caliper I for now support claude-code, codex, pi, claude-api, openai-api. You can run the agent and the judge as separate backends, so you can run a skill on one and judge with another. GitHub: https://github.com/edonadei/caliper PyPI: https://pypi.org/project/caliper-eval/ Of course, it's a first step. I think the autorater layer can be vastly improved, more handholding to create and iterate on evaluation specs, supporting more harness, why not including this layer into a self-improvement bigger system? If you're also building agentic evaluations, I'm genuinely interested to hear how you are handling that. https://github.com/edonadei/caliper June 28, 2026 at 11:12PM

Show HN: E3d-pod2vid – AI pipeline that turns podcasts into YouTube-ready videos https://ift.tt/pQgLkKO

Show HN: E3d-pod2vid – AI pipeline that turns podcasts into YouTube-ready videos turn your .mpa files into animated videos. https://ift.tt/VhIXu35 June 28, 2026 at 03:39AM

Show HN: Wind particles on Mapbox from a single EXIF JPEG https://ift.tt/bvliysU

Show HN: Wind particles on Mapbox from a single EXIF JPEG https://ift.tt/i2U0atE June 27, 2026 at 11:46PM

Show HN: A Living Neural Web in HTML5 Canvas https://ift.tt/VXorU0M

Show HN: A Living Neural Web in HTML5 Canvas https://techoreon.github.io/verpad/canvas-playground.html June 27, 2026 at 10:05PM

Show HN: Puzzle with Strangers. A free multiplayer jigsaw https://ift.tt/HDnN2bZ

Show HN: Puzzle with Strangers. A free multiplayer jigsaw I built this over the last few days. Me and handful of friends are successfully hooked. I recently went to a — for lack of a better word – social/collaborative performance at an art gallery in Berlin where a group of artists filled a huge industrial hall with wooden 10x10cm cubes for people to build structures with. It was beautiful how universal the concept of playing with wooden blocks is and how ephemeral the structures were, people of all ages were put back into a childlike play. The thought about what kind of games need zero explanation stuck with me and i built an anonymous multiplayer jigsaw. We've already spent hours in there and you're invited now as well. Hope you enjoy. https://ift.tt/vj8UY2b June 26, 2026 at 10:17PM

Show HN:Every Team Is Building the Same Cache https://ift.tt/4pYJ9NC

Show HN:Every Team Is Building the Same Cache https://ift.tt/FcwphYl June 26, 2026 at 03:10AM

Show HN: No chair fixed my back, so we built one that won't let you sit still https://ift.tt/p4I8kTe

Show HN: No chair fixed my back, so we built one that won't let you sit still https://ift.tt/pQAH0fr June 26, 2026 at 12:36AM

Show HN: OpenKnowledge – open source AI-first alternative to Obsidian/Notion https://ift.tt/GZhLYtq

Show HN: OpenKnowledge – open source AI-first alternative to Obsidian/Notion Hi HN, Nick here. We’re launching OpenKnowledge ( https://ift.tt/km0HdjE ), a “what you see is what you get” markdown editor that has direct integrations with Claude, Codex, and Cursor. Available as MacOS app or CLI. Fully free/local and OSS ( https://ift.tt/lmswRG4 ). We built this because we wanted a “Google docs” like experience for writing and sharing markdown files across our team. Obsidian is the best alternative we tried, but found it doesn’t have a true “what you see is what you get” UI and it didn’t integrate well with Claude/Codex outside of community plugins. So we built OpenKnowledge. It takes shape as: 1. A MacOS app with a file navigator, the WYSIWYG editor, and link explorer. 2. Integrations with the Claude, Codex, and Cursor desktop apps. The agents can open an OpenKnowledge editor within their embedded web browsers for a side-by-side experience. 3. Built-in mcps, skills, and RAG for LLM-wiki and “AI Second Brain” scenarios + spec writing 4. An embedded terminal and CLI for TUI-first users OSS stack includes: Tiptap/prosemirror, CodeMirror, yjs (CRDT), Electron (MacOS app), Orama, remark/rehype/micromark/mdast, @pierre/trees On the architecture side, the interesting eng. challenges included: 1. A pipeline to convert ProseMirror to markdown in a bidirectional lossless way. ProseMirror uses ASTs, which are not designed to have byte-fidelity. 2. A dual-observer CRDT to keep the ProseMirror and markdown state in-sync. The CRDT + git also power a collaborative experience that shows what Agents are doing in the markdown, have undo/redo, and version history. The “Share” and cloud-sync functionality are geared for team collaboration. They feel “no-code” but leverage git/GitHub under the hood, which also means data stays fully private. In that spirit, we made OpenKnowledge open source for anybody who’s curious or who’d like to contribute. We’re actively thinking about plugins/extensibility and what’s next. If you have suggestions or feedback, would love to hear it. https://ift.tt/lmswRG4 June 25, 2026 at 09:34PM

Show HN: LookAway, a Mac break reminder that knows when not to interrupt https://ift.tt/wrZbBMy

Show HN: LookAway, a Mac break reminder that knows when not to interrupt Hello, I'm Kushagra and I am the indie developer behind LookAway (I've posted about it earlier but it has received quite a lot of updates since the last time so I am posting it again). LookAway is a native break reminder for macOS that doesn't interrupt. I built it because I work from home and I spend a lot of time in front of my screens. It's very easy for me to get lost in the flow and I can end up sitting for hours. Due to this, I started facing issues like eye strain and back pain by the end of the day. The solution to this was simply taking enough breaks throughout the day. But remembering to take breaks was difficult, especially when I was in the flow. I tried some reminder apps but the problem with those was that they always interrupted me at the worst moments. So I ended up not using them. LookAway is designed not to interrupt. It gives enough heads up before a break so that you're not caught off-guard. It's also context-aware and it automatically pauses when you go into a meeting, start watching a video, record screen, and much more. It even waits for you to finish typing or dictating when a break is due. One thing worth mentioning is the free iOS counterpart LookAway Mirror. When your Mac goes on a break, your iOS devices can also mirror the same break so you don't end up scrolling your phone screen during the Mac break. I've spent a lot of time in making LookAway the least annoying break reminder app and I would love to know your thoughts. It's a native Swift app so it doesn't take much resources (150MB RAM and <1% CPU when idle). It's available to download from the website (lookaway.com), Setapp, and the App Store. Thank you! https://lookaway.com June 24, 2026 at 06:59PM

Show HN: Lelu – gate OpenAI agent actions on confidence and prompt injection https://ift.tt/ogje6za

Show HN: Lelu – gate OpenAI agent actions on confidence and prompt injection https://ift.tt/HB3UzGa June 25, 2026 at 12:09AM

Show HN: Follow the Thread – a calmer, typographic way to read Wikipedia https://ift.tt/ZQ2Dx9y

Show HN: Follow the Thread – a calmer, typographic way to read Wikipedia https://ift.tt/PigdOXU June 24, 2026 at 10:46PM

Show HN: The Cascade Graph – An interactive map of AI and energy constraints https://ift.tt/O47EcUS

Show HN: The Cascade Graph – An interactive map of AI and energy constraints Hello, I wanted to share with you all a interactive map of the economics and physics constraints of the AI buildout. It has macro drivers, industrial chokepoints, and where that shows up in markets. I've added 393 nodes and 562 edges to capture other supply / physics constraints as well. There's no sign up, and no pay wall, it's all free. Please let me know what you think! https://ift.tt/Wqsz6Dp June 23, 2026 at 08:52PM

Show HN: I created agent skill based on Peter Lynch's books https://ift.tt/p0wT5nA

Show HN: I created agent skill based on Peter Lynch's books For the last few months I have been analysing Peter Lynch’s books on stock picking and doing prompt engineering to check if AI could create useful stock analyses. To my surprise it started making reports that allow me to understand companies much faster with well cited sources. I hope you find it interesting and useful :) Perter Lynch’s books I analyzed: Learn to earn, One up on Wall Street, Beating the street https://ift.tt/OuT2bgJ June 24, 2026 at 12:32AM

Show HN: Loft gives thumb-keys and split-layout on a standard laptop or keyboard https://ift.tt/pc2OxM1

Show HN: Loft gives thumb-keys and split-layout on a standard laptop or keyboard I've put up a homepage for my keyboard layout, LOFT, and thought I'd share in case anyone found it interesting... LOFT is free on macOS and remaps your laptop and standard keyboard into the thumb-keyed, split-layout, ergonomic dream you've been seeking! It positions your hands up and out in a creative way to get you all the goodies you thought you'd need some garage-built, geek-contraption for. All on a standard ANSI keyboard. Maybe of interest is that the site's keyboard graphics are all generated HTML+CSS via Hugo partials. https://ift.tt/bZ5PcIu June 23, 2026 at 08:20AM

Show HN: Durable Agent Sessions API (Preview) https://ift.tt/r7FUYks

Show HN: Durable Agent Sessions API (Preview) https://ift.tt/51rLRt3 June 23, 2026 at 07:07AM

Show HN: Kitcat 2.0 – A Matplotlib back end for terminal plotting https://ift.tt/2Fo34f5

Show HN: Kitcat 2.0 – A Matplotlib back end for terminal plotting https://ift.tt/rMFy7Xa June 22, 2026 at 11:00PM

Show HN: Pure Effect – Reproduce production bugs on your laptop without a DB https://ift.tt/0JPUXjn

Show HN: Pure Effect – Reproduce production bugs on your laptop without a DB Hi HN, I think it's safe to say that the majority of developers don't give a second thought to writing code with I/O tangled in business logic. It's all too common to see code like: const user = findUser(email); if (!user) await saveUser(user); Now, you may ask: what's the big deal? When we write code like this, two things happen: 1. It gets harder to debug production bugs. Unless you have the exact same database and remote API services to connect to, you may fail to reproduce the bug. 2. You have to use mocks and fakes in your tests, or use test containers, which only help somewhat, and they are slow! To solve these issues, I built Pure Effect, a tiny TypeScript/JavaScript effect library. The core idea is simple: if a function performs I/O, it isn't pure. But if it returns a description of the I/O it wants to perform, it is. So instead of await findUser(email), you return a Command object that says, "I would like to call this function, and when it finishes, here's what to do next." Your business logic becomes a pure function. Same input, same output, every time. The database never gets touched until the interpreter (runEffect) runs. When I first started the library, I didn't expect just how far that one idea would stretch. Once your pipelines are just data, a lot of wonderful things become possible: - No need for mocking libraries. You walk the tree in tests and assert on its structure: assert.equal(flow.cmd.name, 'cmdFindUser'). Nothing is executed. - Wrap any effect with Retry(effect, { attempts: 3, delay: 200, backoff: 2 }). The configuration is plain data, so you can assert on it in tests. - Every command's input and output flows through the interpreter, so you get a full execution trace for free. You can write a simple timeTravel() function that replays it locally without touching any I/O. Perfect for debugging complex production bugs. - An onBeforeCommand hook sits between your business logic and the interpreter. Since it sees every intended side effect before it fires, it can be used to enforce runtime guardrails. You can quarantine destructive calls before they happen for example. - You can review AI-generated code before it runs. Since Pure Effect pipelines are plain data, you can inspect what the generated code intends to do before it touches anything. There are just six primitives: Success, Failure, Command, Ask, Retry, and Parallel, plus effectPipe and runEffect. Zero dependencies. Under 1 KB minified and gzipped. How it compares to Effect-TS Effect-TS is the full-featured option in this space and has a large ecosystem. Pure Effect offers a different tradeoff. It covers the 80% case: testable pipelines, dependency injection, retry, and OpenTelemetry hooks, all in under 1 KB with zero dependencies and no new vocabulary to learn. Effect-TS is a framework you build around. Pure Effect, on the other hand, is a pattern you drop into existing code. I've been using Pure Effect in production since December. It's at v0.8.0, not 1.0 yet, but stable enough that I wanted to put it out there and hear what people think. GitHub: https://ift.tt/QSyexEs I wrote five posts that document how Pure Effect evolved. They are tagged at https://ift.tt/TfcXLNw if you want the longer story. https://pure-effect.org June 21, 2026 at 11:06PM

Show HN: DebugBrief – turn debugging sessions into reports, no AI https://ift.tt/F3yUf2V

Show HN: DebugBrief – turn debugging sessions into reports, no AI https://ift.tt/ltmZE45 June 22, 2026 at 01:27AM

Show HN: CleverCrow: give tokens to your favorite projects https://ift.tt/F9h2m7V

Show HN: CleverCrow: give tokens to your favorite projects Howdy all. I'm Zack :wave:. I've been thinking about the problem of misguided AI pull requests and figured I'd throw a possible solution out there for feedback. Basically, CleverCrow lets supporters give tokens to a GitHub repo (or set of issues in that repo) for the maintainers to use to build/fix stuff. The fun implementation challenges have been around implementing the pooling dynamics and keeping the maintainers in charge while the backers are motivated to support their work. https://clevercrow.io June 22, 2026 at 12:36AM

Show HN: An n8n alternative where coding agents build the workflows, not humans https://ift.tt/vgkmR29

Show HN: An n8n alternative where coding agents build the workflows, not humans n8n is built for humans dragging nodes on a canvas. That breaks down at B2B scale (embedding in a product, multi-tenant scalability, etc). n8n does have an MCP server so agents can create workflows too, but it outputs raw JSON. That's fine for n8n's engine, but painful for a coding agent (or a human reviewing its output) to read, write, diff, or debug. I'm building an alternative where workflows are authored by a coding agent in [a more dev-legible format] instead of JSON blobs, and execute it at scale. https://velane.sh/ June 21, 2026 at 12:14AM

Show HN: We post-trained a model that pen tests instead of refusing https://ift.tt/MoCkSfW

Show HN: We post-trained a model that pen tests instead of refusing Anthropic and OpenAI's publicly available models are explicitly guard-railed so that they refuse offensive tasks. And their cyber-focussed models are gated for enterprises. This leaves SMEs and mid market open to major vulnerabilities. AI can be used as both an adversarial and defensive tool in the world of cyber. A worst case outcome is if only the adversaries have access. Meanwhile, most existing AI cyber tools are just wrappers. The problem is that they still have all the guardrails on from the foundation model where they will inherit its refusals. For this project we've post-trained a specific model on a decade of capture-the-flag contests. This won't be made available to anyone and everyone, but we do believe that responsible SMEs and midmarket companies also need access to these tools in order to identify key vulnerabilities in their systems; not just enterprises. We have developed two modes that run over a CLI: • Security scan: a read-only audit of your local codebase for vulnerabilities. It only reports what it can tie to a specific file and line, so you're not wading through vibes-based findings. • Pen test: an active adversarial mode that will try to break a live system in a sandboxed environment. It proves each vulnerability by running the exploit and showing the request it sent and the response your code gave back, not a confidence score. Currently gated. To show what the scan does, we pointed it at Bank of Anthos and it found an integer overflow in the transfer path: amount is an int, and amount + fee can overflow negative, so the balance check passes and you move funds you don't have. Plus the usual auth and secrets issues. (Bank of Anthos is Google's open-source bank. It's a known app and some of it is intentionally weak, which is the point: you can clone it and re-run the scan yourself instead of trusting a screenshot) How the harness works: Along with the model we built the harness to support this. The harness runs on a multi-agent swarm: an orchestrator splits the job across subagents running in parallel, each owning a slice, then synthesising one report. The CLI is a local binary (brew/curl). It reads your code locally, then sends context to our inference API over TLS tcpdump it and you'll see exactly what leaves and where. Install is free; and you can run a scan for free up to 2m tokens, then need to pay for tokens beyond this. For full disclosure this is a product part of Cosine (YC W23) Up for debate: tool safety, e.g. domain verification is one method that proves control but not necessarily permission. How would you gate a pen-test tool given that? https://ift.tt/JEgxUrb June 20, 2026 at 07:19PM

Show HN: Jumpjet – a WASM runtime for game developers https://ift.tt/NLsyDSh

Show HN: Jumpjet – a WASM runtime for game developers I built Jumpjet because I realized that engine and indie game developers are always repeating the same work: building the core infrastructure that touches the OS. Webassembly solves this in the Component Model by enabling interop between packages written in different languages. And in my opinion it's sort of the perfect fit for Jumpjet's model: providing a chassis without an engine. Jumpjet works by defining a very close mapping of WebGPU (and a few other WebIDL features) to WIT so that they can be used in any language that can target the wasm Component Model. Your game then runs as a guest application in Jumpjet's host runtime (powered by wasmtime), which shrinks final bundle size considerably versus something like Electron. Right now a bare bones game in Jumpjet is about 40mb. Right now the project is in an alpha or possibly pre-alpha state, it's not production ready. On the commercial side, I think there's an opportunity for cloud storage, game server hosting, a package manager and/or marketplace, distribution, and more. Right now you can target macOS, Windows, Linux, Android and iOS. (I haven't done any real testing on mobile so good luck.) The languages you can use will depend on their support for generating bindings from .wit files. There are a few templates available, I recommend one of the Rust ones. If you are a game developer or just like tinkering, I'd love for you to try the project out and tell me what you think! https://jumpjet.dev June 20, 2026 at 01:22AM

Show HN: Continuous Nvidia CUDA PC Sampling Profiler https://ift.tt/Jn9zL1T

Show HN: Continuous Nvidia CUDA PC Sampling Profiler Blog post about how we extended our open source profiler to include support for continuous production PC sampling. https://ift.tt/eFj7AQz June 15, 2026 at 09:19PM

Show HN: NanoEuler – GPT-2 scale model in pure C/CUDA from scratch https://ift.tt/lgkIsdy

Show HN: NanoEuler – GPT-2 scale model in pure C/CUDA from scratch https://ift.tt/7TiU0gX June 19, 2026 at 11:48PM

SHOW HN: I built a "living proof-of-work" profile for builders https://ift.tt/dxzhQ7T

SHOW HN: I built a "living proof-of-work" profile for builders https://kritive.com June 19, 2026 at 01:50AM

Show HN: I built a daily flag quiz in honor of the World Cup https://ift.tt/Ys14ql8

Show HN: I built a daily flag quiz in honor of the World Cup https://orbisearth.web.app/ June 19, 2026 at 01:45AM

Show HN: Run Agent Skills with mistral.rs v0.8.10: /v1/skills support and more https://ift.tt/yLNsz86

Show HN: Run Agent Skills with mistral.rs v0.8.10: /v1/skills support and more Hey all! I'm the maintainer of mistral.rs. I just landed support for OpenAI-compatible Agent Skills via a /v1/skills endpoint, and it works with local open models. Until now Skills have basically been locked to closed models, and with the ability to have private, local intelligence becoming increasingly important, but this feature allows you to do XYZ with local models. It's fully compatible with OpenAI's /v1/skills API, so you can drop mistral.rs into your existing code with minimal difficulty. We support the accompanying tools too: /v1/files or input_file for attaching files to your prompts, and mistral.rs also allows models to send generated files back using the OpenAI-compatible method. It's also easier than ever to try mistral.rs: we are including prebuilt binaries for NVIDIA CUDA, Apple Silicon, and CPU! # Linux/Mac > curl --proto '=https' --tlsv1.2 -sSf https://ift.tt/97azeRy... | sh # Windows > irm https://ift.tt/97azeRy... | iex Then: mistralrs serve --agent --isq 4 -m google/gemma-4-E4B-it Super excited for you to try this out and any feedback! Do you have any suggestions for what you would like to see in the next releases? Check out the GitHub: https://ift.tt/R1mGktC Docs & Quickstart: https://ericlbuehler.github.io/mistral.rs/ June 18, 2026 at 12:33PM

Show HN: NGB, an open-source .NET platform for document-driven business apps https://ift.tt/dhvo5eA

Show HN: NGB, an open-source .NET platform for document-driven business apps https://ift.tt/QVz54Nc June 18, 2026 at 11:20PM

Show HN: I built a spelling app for kids with my 7-year-old https://ift.tt/wrNxyW5

Show HN: I built a spelling app for kids with my 7-year-old Hello HN! I made an iPad app with my seven-year-old daughter to make learning spelling fun. https://spellabee.com/ We play Spelling Bee type games in our car rides, and she wanted to learn more words that way. So we built a simple app that teaches 10 words at a time, and lets the kids practice and master these 10 words. The full word list in the app is static, and it gets progressively harder as the kid goes through the levels. There are no AI features in the app. I do not collect emails inside the app or have third party trackers. Based on feedback (reviews) and aggregate usage data I plan on updating the app with new word sets. Although the app does not have any AI features I used AI to build the app itself. I used Claude to code the app using Flutter, do etymology research, and understand what alternative apps that are in the App Store. While the LLMs were good at providing a lot of information, I had to synthesize it and play a strong Product Manager role to drive the vision and keep the app simple. My daughter provided a lot of feedback and helped simplify the app and refine the UX. The "Bee Stage" design was inspired by her drawing. Without AI tools, it would have been almost impossible for me to build and launch this app. But it still required a lot of decision-making and prioritization to get the product out of the door. I strongly believe that while AI is a powerful tool, human taste is the differentiator in well made products. If you have a kid in K-5 who is interested in spelling bee type games, give it a try and I would love to hear any feedback you may have as a parent. App store: https://ift.tt/Cr8V7os... https://spellabee.com/ June 18, 2026 at 03:06AM

Show HN: Mantyx – Batteries included managed agent runtime https://ift.tt/XeaOqYS

Show HN: Mantyx – Batteries included managed agent runtime https://mantyx.io/ June 17, 2026 at 10:31PM

Taken with Transportation Podcast: On the World Stage

Taken with Transportation Podcast: On the World Stage
By Melissa Culross

Director of Transportation Julie Kirschbaum (left) joins Mayor Daniel Lurie at a World Cup kickoff event in the Haight Ashbury. San Francisco once again is on the world stage now that the FIFA World Cup 26™ is in town. And we’ve got World Cup fever on the Taken with Transportation podcast. Let's go San Francisco We sit down with San Francisco Mayor Daniel Lurie in our new episode, “On the World Stage,” and ask him how the city got ready for the tournament. “We’ve been spending months and months preparing,” Mayor Lurie says. “San Francisco and the Bay Area know how to do big events, and we are...

Published 2026-06-17T00:00:00Z
https://ift.tt/ltQ2PTX

Show HN: Sabela – A Reactive Notebook for Haskell https://ift.tt/6goYl8u

Show HN: Sabela – A Reactive Notebook for Haskell Sabela is a reactive notebook for Haskell. The name is the Ndebele word for "to respond." Cells respond to each other on change. Initially it was meant as a tool for working with data but it has turned out to have a lot of pedagogical value outside of data analysis work. There is a gallery to read through on the website and a number of examples in the repo showcasing things like: * Python interop * Widgets and animation * Exploratory data analysis If you find any of this interesting please try it out. Any feedback is welcome. https://ift.tt/YWOC380 June 14, 2026 at 02:03PM

Show HN: Pen and paper resource development game with an emergent world https://ift.tt/wcuM2Rh

Show HN: Pen and paper resource development game with an emergent world I've been working for a while on trying to curate a game that has the emergence of procedurally generated computer games but that can be played with only pen and paper. Here I present the best version I've been able to come up with that is simple and emergent. I've really enjoyed being able to engage with this sort of game while not feeling like my brain in rotting. I recon my numeracy improves while playing it. https://ift.tt/qS3R5hm June 16, 2026 at 11:19PM

Show HN: StarScope – Free astronomy dashboard for observers outside the US/UK https://ift.tt/LgOr41F

Show HN: StarScope – Free astronomy dashboard for observers outside the US/UK https://starscope.live/feed June 16, 2026 at 12:51AM

Show HN: A pure-Ruby X11 terminal https://ift.tt/8J3YNAL

Show HN: A pure-Ruby X11 terminal I use this as my regular xterm replacement... Why? Because I can. It's pure-Ruby down to the font-renderer, and the X11-bindings. (I also run a Ruby WM, a Ruby editor, file manager, and more, so this is just par for the course of my descent into madness) It supports double-width and double-height text, unicode (but double-width characters may currently be rescaled down), layering fonts, special rendering of box-drawing characters (to ensure they seamlessly scale and connect, and has reasonably complete vt-100/vt-102 emulation. The whole thing is available as a Rubygem and comes with an ANSI text backend, so you can run your terminal in your terminal. The bulk was written manually, but the last few days I had Claude write a test harness to shake out a bunch of bugs, and start refactoring and cleaning up the code base (it's still full of warts). https://ift.tt/wZbnNU8 June 15, 2026 at 11:45PM

Show HN: Trace – Offline Mac meeting transcripts you can flag mid-call https://ift.tt/386v4bj

Show HN: Trace – Offline Mac meeting transcripts you can flag mid-call I'm the developer of Trace, a non-intrusive, shortcut-driven Mac app that records and transcribes your meetings on-device. I know, another meeting transcription app. Please bear with me though, I'm confident that this is at least a little novel. I primarily built Trace for myself. I'd been using MacWhisper, but there was enough fiddling before each call that I'd forget to start it and walk out of an hour-long meeting with nothing written down. So the things I cared about most were that it's quick to activate and stays out of the way. You activate Trace by pressing a global shortcut (configurable), which reveals a small bar at the bottom of your screen (there's also a keystroke and/or option to hide it entirely if you'd rather not see it at all). As I was building it I wanted to bake in a couple of workflows I'd wished for in other transcription apps. 1. Mid-meeting you can press another global shortcut to mark a "key moment" and type a note. The note shows up in the resulting transcript inline at that timestamp. I wanted to add this because I kept catching myself thinking "wait, that bit matters" in meetings and reaching to jot it down in a separate app like Obsidian, which I then needed to add context to, which took me out of the meeting. I use it all the time. If I paste the transcript into an LLM afterwards (which I find myself doing more and more these days) the important moments are flagged so it doesn't gloss over them. This is more noticeable in longer meetings with lots of topics. 2. With another keyboard shortcut you can summon a rough live recap (subtitles, basically) to quickly recap what's just been said. Trace uses standard macOS microphone and system recording APIs to capture both sides of the conversation as two separate tracks and then runs the system side through on-device diarization to identify speakers. Right now we only label them as "Speaker 1", "Speaker 2", etc but there are plans for speaker labelling in the future. You can also show a "live recap" as the call is happening to review what someone just said. All transcription models run on your machine. To be clear though, Trace doesn't do any of the summarising itself, it just produces a markdown transcript, so if you want summaries then you need to pass the output to an AI. The app is sandboxed and your audio/transcripts are never uploaded anywhere - they just exist as audio files and markdown on disk. The only network call Trace is required to make is on the first run to download the speech and speaker models (around 500MB) from Hugging Face, and after that it can be used fully offline. If enabled, a Google Calendar integration can auto-name sessions but that needs a network connection. The app is £9.99 on the macOS App Store. I've been using it every day for months now and I'm super happy with how it's improved my workflow. Feedback very welcome. https://traceapp.info June 14, 2026 at 02:11AM

Show HN: Philosophy for Kids https://ift.tt/ylwrQVk

Show HN: Philosophy for Kids Sometimes my son asks me 'why' questions that could be answered well by a kid-friendly philosophy article. But I don't know where to find those, so I ask Claude or ChatGPT, and have a specific workflow for getting the type of output I want. I figured other people might find those AI-generated articles helpful, so I put them here: https://ift.tt/jA0VWvk There's a search box at the top. https://ift.tt/jA0VWvk June 14, 2026 at 11:45PM

Show HN: Discover Wikipedia articles popular on Hacker News https://ift.tt/3RFtzmg

Show HN: Discover Wikipedia articles popular on Hacker News https://ift.tt/K9USxNn June 14, 2026 at 11:24PM

Show HN: Slopsome – a VRAM fit calculator and tok/s database for local LLMs https://ift.tt/NC864vk

Show HN: Slopsome – a VRAM fit calculator and tok/s database for local LLMs https://slopsome.com June 14, 2026 at 01:14AM

Show HN: Galdor – a Go LLM agent framework with built-in tracing and replay https://ift.tt/O0F3neJ

Show HN: Galdor – a Go LLM agent framework with built-in tracing and replay https://ift.tt/n4eFwxp June 14, 2026 at 12:34AM

Show HN: Turn your name into a tree in an infinite procedural shanshui landscape https://ift.tt/3YzKlOe

Show HN: Turn your name into a tree in an infinite procedural shanshui landscape Hi HN! I made this after collecting hundreds of "name → tree" submissions at ITP. Live: https://ift.tt/w57FPsY Source: https://ift.tt/5RgkYSE Plant a tree: https://ift.tt/ZftDg7b Pan and zoom an infinite procedural landscape. Each name is converted to ASCII codes, which grow into a unique tree (breadth-first branching; repeated digits become mathematical roses). Mountains use midpoint displacement + Perlin noise, with SVG radial gradients in the blue/green/gold palette from Wang Ximeng's "A Thousand Li of Rivers and Mountains." Inspired by Lingdong Huang's {Shan, Shui}* ( https://ift.tt/v3ZmyRc ). Every tree is someone's name, signed with an APack stamp ( https://ift.tt/gLYtarV ). Try planting your name, then pan along the ridgeline to find it. "My trees" lets you jump back to ones you planted. Happy to answer questions about the terrain algo, name→tree encoding, or the Riso print we tiled at ITP Winter Show! https://ift.tt/w57FPsY June 10, 2026 at 08:09PM

Show HN: Nenya – A lightweight, highly secure AI API Gateway/Proxy written in Go https://ift.tt/G61mPiT

Show HN: Nenya – A lightweight, highly secure AI API Gateway/Proxy written in Go https://ift.tt/YB0eFl7 June 12, 2026 at 11:02PM

Show HN: Geiger – A blast radius triage tool for any credential https://ift.tt/iF20Tr8

Show HN: Geiger – A blast radius triage tool for any credential https://ift.tt/YbBDp7e June 13, 2026 at 12:24AM

Show HN: Vilvona AI – Self-Hosted AI Assistant with Tamil and Hindi UI https://ift.tt/oruzhWC

Show HN: Vilvona AI – Self-Hosted AI Assistant with Tamil and Hindi UI https://ift.tt/Ckn39Og June 12, 2026 at 11:56PM

Show HN: AVP – an agent can't leak a secret it never had https://ift.tt/W64d1Tx

Show HN: AVP – an agent can't leak a secret it never had A process can't leak a secret it never had. Shai-hulud, prompt-injection - you name it. They cannot steal what your agent (or an process) don't have. I run coding agents (Claude Code, Codex) on my own machines most of the day. Every one of them wants real API keys in env and I was scratching my head for the last few months how to contain it. The usual answer to this is a firewall. I don't buy it. A firewall tries to contain a secret the process is still holding, and the rules are painful to maintain. AVP gives the agent a placeholder and injects the real value at the last moment, on the wire: ``` # the agent's env holds only a placeholder STRIPE_API_KEY=avp-placeholder # agent sends: Authorization: Bearer avp-placeholder # AVP forwards upstream: Authorization: Bearer sk_live_...real... ``` Keep your passwords in your vault where they belong. AVP initially relies on Bitwarden as a secret manager. It's MIT licensed. Appreciate any feedback. https://ift.tt/tHA8djv June 12, 2026 at 12:40AM

Let Muni Move You Through the Summer

Let Muni Move You Through the Summer
By Melissa Culross

San Francisco is a magical place all year, including and especially during summertime. (Photo credit: Unsplash) There’s nothing like summer in San Francisco. You may need a jacket thanks to the fog and cool conditions, but summer still heats up in the city, despite any weather forecast. There is so much to do, especially this year. And thanks to Muni and our entire transportation system, getting to summer events is easy. You can hop on a bus, train or streetcar and enjoy the season. If you drive, walk or bike, you can count on our parking control officers to keep traffic moving and help you...

Published 2026-06-11T00:00:00Z
https://ift.tt/3v2F4Oq

Show HN: Stillwind – High Resolution Electronic Component Search https://ift.tt/1Afjp6o

Show HN: Stillwind – High Resolution Electronic Component Search We’ve spent the last couple of months building Stillwind Search, a search engine for electronic components that helps users find parts that fit even the most complex set of specifications. After talking to the people that actually build PCBs we found out that finding the exact part you are looking for, is consuming enormous amounts of times, is very tedious and then often doesn’t yield the best results. So we tried to cut down this search time by just requiring a (broad) description of the specifications and we find the correct part in minutes, not hours. This is possible through our own database of parts and their properties. We used LLMs to extract every parameter about a part into >1k schemas, collectively covering more than 130k properties. This depth of properties could no longer be visualized, so the database is queried interactively by an AI agent (Sonnet 4.6) to find the needle in the haystack of parts. Before results are shown, we use another model to verify the data (that’s why it might take a moment before the first results appear). We currently have almost all microcontrollers, sensors, and other advanced ICs on the market, as well as a wide selection of passives and generic parts. We are working on adding more parts and are more than happy to take suggestions. I know that folks on HN like technical details on how this works, so let me give a short overview: Frontend: SvelteKit + Cloudflare Workers + Hyperdrive Backend: PostgreSQL 18 (with io_uring) database, with extensions on NVMe drives hosted on a beefy server. We appreciate all feedback and are happy to answer any questions :) Btw: We are already working on a way that you can search combinations of parts, finding the optimal combination of parts. https://stillwind.ai June 11, 2026 at 11:42PM

Show HN: A police department for your Claude Code agents https://ift.tt/uWyDxpE

Show HN: A police department for your Claude Code agents https://ift.tt/Wc2LMAg June 11, 2026 at 11:17PM

Show HN: Atlasphere – Live Infrastructure Diagrams https://ift.tt/TkrS0Xw

Show HN: Atlasphere – Live Infrastructure Diagrams Hi HN. My name is Andrey. On a regular business day, I'm a software engineer working at AWS. Outside of work hours, I spend time on my hobby - writing code. I was once building a pet project that allowed customers to spin up fully synchronized blockchain nodes within just a few minutes. The backend was split into a control plane and a data plane, each with its own AWS account. Later I added two more AWS accounts. One for shared RPC nodes. One for the Analytics Service. Since I love to visualize things, I used drawio to visualize the architecture. With time, I noticed a pattern. I'd write some code, add a few lambda functions, update my drawio diagram, write more code, introduce a few more resources, test things, see that everything works fine and go to sleep with a smile on my face. Next week I'd check my diagram, and shockingly, it's missing some of the resources! This kept happening for a few more weeks until I decided to fully abandon the project until my infrastructure diagrams could stay in sync with my cloud account. That's how Atlasphere.io was born. I've been working on it for the past 6 months and I think the product is ready for some feedback :) A few notes: - Atlasphere uses a ReadOnly IAM role to scan your AWS account (my account reaches your account through a trust relationship). - The number of services is currently limited (WIP) - It's a macOS app - It's NOT an Electron app, i use Rust + Webview What am I looking for? All I really need is for someone to try the app and tell me what they like about it and what they absolutely hate about it, haha! The website is https://atlasphere.io/ June 9, 2026 at 06:05PM

Show HN: Extend UI – open-source UI kit for modern document apps https://ift.tt/zlbSIJO

Show HN: Extend UI – open-source UI kit for modern document apps We're open-sourcing 14 components & examples today for PDF, DOCX, and XLSX viewers, plus bounding box citations, file upload, e-signature, and more. It's MIT licensed and fully customizable. Demo video here: https://ift.tt/ZqPCOvn When we started, we tried every file viewer and document component library we could find. Unfortunately, none of them had all the functionality (and polish) that we wanted, so we ended up building our own for https://extend.ai/ . It was only ever meant to be internal, but enough customers kept asking for it that we decided to open source it. It's useful for building document processing agents, real-time user facing document intake flows, or all kinds of internal tooling. We naively thought this would be a solved problem. Turns out, making PDF/XLSX/DOCX viewers that work at scale is not trivial...we use and maintain it for Extend ourselves, so we've fixed a lot of edge cases that came up while running millions of pages / day through our own system. Our hope is that with our resources + community support, it'll keep getting better over time. https://ift.tt/Cvzqs08 June 10, 2026 at 09:39PM

Show HN: OpenYabby, voice-controlled multi-agent orchestrator for Claude Code https://ift.tt/Xl9gciQ

Show HN: OpenYabby, voice-controlled multi-agent orchestrator for Claude Code https://ift.tt/veUXNcB June 10, 2026 at 01:38AM

Show HN: Transit-format (JSON/MessagePack) reader/writer in C https://ift.tt/6IkfPxJ

Show HN: Transit-format (JSON/MessagePack) reader/writer in C Transit.c is an addition to the set of libraries to support transit data interchange format written in C11. It supports full 0.8 specification of cognitect's transit-format: JSON, JSON-Verbose and MessagePack encodings, all ground and extension types, compression via keys caching, extensibility via custom tag handlers. https://ift.tt/ehMy5Gs June 8, 2026 at 03:05PM

Show HN: Nodea, an open-source AI canvas for working through complex projects https://ift.tt/P1mB2Xb

Show HN: Nodea, an open-source AI canvas for working through complex projects https://nodea.ai/demo June 9, 2026 at 11:14PM

Show HN: Stop returning raw JSON from MCP servers, build rich inline UIs https://ift.tt/AYnH1DQ

Show HN: Stop returning raw JSON from MCP servers, build rich inline UIs https://ift.tt/d3EV8Mp June 9, 2026 at 12:07AM

Getting Around San Francisco During FIFA World Cup 26™: Your Go-to Guide

Getting Around San Francisco During FIFA World Cup 26™: Your Go-to Guide
By

Let Muni take you where you need to go. Explore the city and connect with soccer fans during FIFA World Cup 26™. Our teams at the SFMTA are here to help you enjoy FIFA World Cup 26™ festivities across the San Francisco Bay Area. Whether you’re visiting the city or a long-time local, you can count on us to get you where you want to go. Our operators at Muni are ready to get you to the city’s lively venues and local businesses. They’ll also connect you with the transit agencies that go directly to the World Cup Bay Area stadium. Our parking control officers will help keep traffic flowing and...

Published 2026-06-08T00:00:00Z
https://ift.tt/4EF9k2s

Show HN: A minimal, ad-free World Cup web-app for fixtures and live scores https://ift.tt/5elCxdw

Show HN: A minimal, ad-free World Cup web-app for fixtures and live scores Hi all! With the World Cup around the corner, and being a football fan, I went looking for apps that would give me a detailed overview of groups, matches categorized by group or team, a daily timeline of when games happen that day (especially useful for us in Europe, since some games run pretty late), and a way to follow my favorite team or teams. The problem I ran into was that most apps out there are pretty bloated — like, really bloated. The ones that weren't either didn't focus on the World Cup specifically, or were ridden with betting ads and ads in general. So I built a very minimal ad-free (mostly tailored for myself) World Cup web app for fixtures and live scores. The fixture data comes from the openfootball/worldcup.json project - https://ift.tt/68sKR1A . I hope you find it helpful, would love any feedback. https://ift.tt/P87MqHG June 8, 2026 at 11:04PM

Show HN: A Minecraft builder skill for coding agents https://ift.tt/slRyJAS

Show HN: A Minecraft builder skill for coding agents https://ift.tt/r4pswJC June 8, 2026 at 08:21PM

Show HN: An mkv player that uses WASM to render you videos https://ift.tt/v4BOWqp

Show HN: An mkv player that uses WASM to render you videos hello HN i want to share this wasm experience i built for a universal mkv player on the web using wasm to ship a lean decoder only ffmpeg build, thus way codecs unsupported by the browser can be played I wonder if this holds any value to anyone anymore https://parallax.kinosoft.moe/ June 8, 2026 at 05:27AM

Show HN I scraped 743 large employers' careers pages to find their ATS https://ift.tt/isy2JHz

Show HN I scraped 743 large employers' careers pages to find their ATS https://ift.tt/Meb1zIr June 7, 2026 at 11:15PM

Show HN: I Derived a Pancake https://ift.tt/y2cPf5W

Show HN: I Derived a Pancake After 25 years of making other people's pancake recipes - always yearning for more tang, more fluff, and more predictability - I decided to derive the pancake recipe from the chemistry. You mark checkboxes for what you have on hand (ricotta, sour cream, kefir, buttermilk, yogurt, cottage cheese, lemon, cream of tartar, etc.) and it computes the best recipe based on targets for acid, fat, salt, sugar, and CO2. My particular favorite are the yeast-raised lemon ricotta kefir pancakes - the best I've ever had. The math is done in a small pure-ESM library: ingredient composition to component masses and acid moles, a stoichiometry layer, and a bisection solver for the target deficits. I'm not a chemist, so if something is off, tell me and I will fix it! https://ift.tt/RcC2iYs June 5, 2026 at 12:12PM

Show HN: Nightwatch, The open-source, read-only AI SRE https://ift.tt/cOQVJXg

Show HN: Nightwatch, The open-source, read-only AI SRE nightwatch is a local-first, read-only layer on top of your monitoring. it groups alert storm into incidents, flags noisy checks and has an agent that can investigate for you live systems. You can e.g. jump from the incident into the agent directly. the reason for this weekend project is that we had a kubernetes upgrade that went wrong, and at some point a rollback wasn't possible anymore, so it had to be fixed live during the night while several problems came together. We run a lot of different systems, on-prem and several Kubernetes clusters, and in a situation like that you spend most of the time just figuring out what is actually broken and where. So i thought that it would be pretty cool to have eyes in the dark in each system that can talk to your "brain". so the idea is to put a baby owl into each environment. Each owl runs where the systems live, keeps that environment's credentials local, and only dials outbound to a central brain, so there is no inbound hole into prod. It exposes a set of read-only skills, and the agent uses them to gather evidence and form a root-cause hypothesis, so the on-call engineer starts with a head start instead of from zero. read-only for now, i don't trust it near prod yet and honestly neither should you. llocal-first for easy self-hosting and to keep credentials on your side. the clustering and recommendations run fully offline with no llm at all. the agent needs a tool-calling llm, you can point it at a remote one, or self-host one (ollama etc.) if you want to stay fully offline. for non selfhosters: before every remote llm call, nightwatch strips real secrets (unrestorable) and swaps identifiers like ips, hostnames and paths for reversible placeholders, so the model only sees masked data while real values are restored only in the proposed commands and tool calls Would love if you try it in your Systems https://ift.tt/kFlmA0t June 8, 2026 at 01:54AM

Show HN: Dap-mux – Connect your editor and REPL to the same debug session https://ift.tt/7V4d6hF

Show HN: Dap-mux – Connect your editor and REPL to the same debug session I have been coding over four decades, in many languages, on many projects (including Firefox, Final Cut Pro, the Newton, and Fullwrite Professional if you can remember that far back; all these using my "dead-name"). I wrote something small and simple to scratch an itch. It's the UNIX philosophy: small "one-trick ponies", each *really* good at their one trick, then the user can hook them together to solve actual problems. I'm a CLI guy, and for almost everything, I already have this. But not for debugging. The itch I scratched was the connector that enables this philosophy for debugging. That thing is dap-mux. A DAP multiplexer turning a one-to-one protocol into a cooperating session of as many tools as you need to get it done! How it started: Helix and Python for me (and sometimes IPython), with the rest of my team using PyCharm (which I have long loved!). My team's problem is that they want the PyCharm debugger, and so must be satisfied with the JetBrains editor. *My* problem was I could use a full-blown debugger *or* I could have IPython *or* I could have Helix (or sometimes an unsatisfying combination of Helix and the debugger). That was my "itch". DAP (Debug Adapter Protocol) is the tantalizing answer, except it isn't. DAP is what editors (that don't want to write their own debuggers) are starting to adopt. The problem with DAP is it's one-to-one. One editor connects to one debugger. Done. Not a solution to my problem. And then suddenly, it *was* the solution. I realized that a DAP multiplexer would let you connect any DAP-aware editor to any debugger for any language, and simultaneously to a REPL, another session of your editor (or a different editor)! With the side benefit that now, like screen or tmux, since each process is its own thing: sessions are durable. Just restart whatever crashed and you're back where you were! There were hard parts: sequencing, late joiners, state management. Different end-points working on different actions in different sequences but with the same message ids. I solved these problems something like how NAT works. Instead of translating network addresses, though, I'm translating the sequence numbers of each client into something global and ordered, then correctly routing replies back to the end-point awaiting them, while mapping the sequence numbers for those replies back into the space of that end-point. Knowing the current state of the debugger, and replaying that as a message sequence to late joiners lets you start/connect the clients in any order. I chose Python: asyncio fits the I/O-router pattern perfectly, and it lets the IPython extension run in-process rather than over IPC. There are problems not yet solved: for instance, I think configuration in the clients and/or the startup sequence is too complicated. But it functions! I got what I wanted! The combination I use every day: Python + debugpy + Helix + IPython, all connected simultaneously. Step with `%n` or `%s`, evaluate expressions with `%eval`, watch Helix track the current line in real time. Rust with codelldb is the second confirmed combination — I debugged a Dijkstra implementation with Helix and a third-party DAP observer tool both connected to the same codelldb session. A community member, Sean Perry, has already built [dap-observer]( https://ift.tt/kt1qRuQ ), which renders the current frame's variables as a navigable terminal tree. *This* was my exact dream! Small, focused, connectable tools all playing together! There's so much left to try: other editors, other debug adapters, Windows, other languages. None of this has been touched yet. The most helpful thing now is people testing it with their own setup and reporting what they find. It's time to play! `uv tool install 'dap-mux[ipython]'` for Python + IPython. `uv tool install dap-mux` for headless use with any language and adapter. No need for any part of the Python ecosystem. https://ift.tt/9p7Qd3s June 7, 2026 at 02:43AM

Show HN: I ported Xonotic (arena FPS) to WebAssembly with full P2P multiplayer https://ift.tt/Aq6NPeg

Show HN: I ported Xonotic (arena FPS) to WebAssembly with full P2P multiplayer https://dpgame.xonotic.workers.dev/ June 7, 2026 at 12:59AM

Show HN: Resonate – Low-latency, high-resolution spectral analysis https://ift.tt/l7J9esp

Show HN: Resonate – Low-latency, high-resolution spectral analysis Last April I shared about my Resonate project here ( https://ift.tt/YEM61nI ) A lot has happened since: the work I presented in much more detail at last June's International Computer Music Conference (ICMC) got best paper award. I also gave a talk at the Audio Developer Conference in Bristol last November, the video is on YouTube). This year's work, which I recently presented at this year's ICMC, starts with known techniques from the phase vocoder literature to build self-tuning filter banks that extract very efficiently the frequency components that are actually present in the input signal. Overview on the project website, more details in the papers, including applications to super-resolution spectrograms and re-synthesis experiments. As many people have pointed out, none of the techniques I have used are new (some of them even have different names across different fields), but I haven't seen them applied together in this way, and to me the results are incredibly satisfying and sometimes look magical. See for example this demo: https://youtu.be/LasdoIJJkw8 Of course the best way to experience in person is through the free demo app: https://ift.tt/K76V0AW Looking forward to feedback from the community! https://ift.tt/mcW0VBS June 6, 2026 at 11:39PM

Show HN: I nerfed our coding agents on purpose https://ift.tt/QYc7o41

Show HN: I nerfed our coding agents on purpose Tl;dr: I trained a classifier to route to the least expensive model and reasoning depth to complete the request. Coupling that with additional automated token efficiency techniques has yielded 3x usage for the same spend. For anyone interested in trying it themselves: https://nerfguard.com Various teammates and I switched over to Codex from Claude Code recently. We still bounce between the tools, but Codex’s speed and steerability coupled with performance gains were hard to ignore. One of the downsides was that the per token pricing kicked in way sooner. This is happening across the board, but we felt it in Codex more acutely. We’re a startup filled with people who work around the clock and are obsessed with building — naturally our daily bill alone was striking. Luckily we’re going after a big mission and speed matters significantly more than marginal token spend on the edges. Still, it got us thinking about how it was ludicrous that while our product has a side effect of decreasing token spend and speeding up agentic workflows by many orders of magnitude, we were using these top tier models for all types of internal coding tasks without any of those optimizations. The waste felt pretty ridiculous — the most glaring culprit was that we were seemingly using the max intelligence model on max reasoning for every task even when the task clearly didn’t require it. As a company who spends a lot of time on cached intelligence, it was also easy for us to see how there was plenty of other low hanging fruit as well. So, on a recent weekend, I quickly built a tool to optimize our usage. At its core is a very fast classifier that classifies your requests to the least intelligence required for the task and includes some nice token optimizations on top. The result is roughly the same quality for multiples lower token spend. But even more exciting for us, is that the properly bin packed intelligence and reasoning levels meant our speed also went up considerably. This wasn’t negligible. We’ve observed up to 3x savings and hours per day per person in saved time that we would have otherwise been waiting on tool turns and coding agent responses. For us, that means improved engineering velocity and significantly higher usage for the same spend. It also means more usage before getting throttled. As I told friends about this, they also wanted to start using it to maximize the usage they could get out of their coding agent plans. There are now engineers across many of the most cutting edge AI companies using this tool to optimize their token utilization in this way. Not just to save money, but to maximize output. Turns out that the best way to avoid getting nerfed by Claude is to intentionally nerf yourself selectively. We decided to release it for the rest of the builder community to use as well. You can now turn on Nerfguard for yourself and start getting more usage today. June 6, 2026 at 04:49AM

Show HN: OWASP VulnerableApp Modern Extensible and Scalable vulnerable app https://ift.tt/VP09O8J

Show HN: OWASP VulnerableApp Modern Extensible and Scalable vulnerable app https://ift.tt/sdChPX5 June 6, 2026 at 01:49AM

Show HN: I rebuilt a tiny old volleyball game I loved https://ift.tt/tE6apCl

Show HN: I rebuilt a tiny old volleyball game I loved https://volleyhop.com/ June 6, 2026 at 01:42AM

Show HN: Bash Runtime for AWS Lambda https://ift.tt/MotXugz

Show HN: Bash Runtime for AWS Lambda Hi HN, I built a Bash runtime for AWS Lambda to make writing glue code simpler and faster. Sometimes, all you need is a bit of `sed`, `awk`, maybe a loop and a few HTTP API calls, and this runtime gives you all the tools to do that. It comes bundled with `jq` and `curl` so you can handle JSON payloads and string together HTTP API calls right out of the box, including calling AWS services with `curl --aws-sigv4`. In keeping with the theme, the Lambda handler contract is also made as simple as practical: read from stdin, write to stdout, return 0 for success and non-0 for error. You can run shell scripts, call binaries (either what's available in `al2023.provided` or you can package your own static binaries with your handler), or a combination of both. If you remember nodding along to Adam Drake's post about how bash and coreutils can be faster than a Hadoop cluster, I hope you give this a whirl and find it useful. The runtime is packaged as a Lambda layer, so it should drop right into your normal AWS infrastructure. https://ift.tt/lEcHeyn June 6, 2026 at 12:42AM

Show HN: Bot or Not – Spot AI-generated randomness https://ift.tt/MUswigI

Show HN: Bot or Not – Spot AI-generated randomness https://play-bot-or-not.vercel.app/ June 5, 2026 at 01:26AM

Show HN: Cost.dev (YC W21) – making agents cost-aware and cheaper to call https://ift.tt/Omtavou

Show HN: Cost.dev (YC W21) – making agents cost-aware and cheaper to call We launched Infracost on HN five years ago ( https://ift.tt/63xg7p0 ) where our CLI generated cost estimates for infra-as-code, e.g. "this Terraform PR adds $400/mo". The idea was to shift cloud costs (FinOps) left, so engineers get visibility of costs before deployment and make better decisions. Earlier this year we started seeing agent traffic in our logs and it looked like coding agents were calling our CLI. But that CLI wasn't designed with coding agents in mind. We went down a philosophical rabbit hole to see if a CLI is even needed anymore given that Claude, Copilot et al. already follow best practices. Ultimately we decided to create a new CLI from the ground up with coding agents in mind for two reasons: 1. We optimized the CLI for agent callers and cut Claude's output token usage by up to 79% and API cost by up to 67% versus a bare-Claude baseline. We wrote a blog documenting our lessons on optimizing user token usage when designing a CLI, e.g. using predicate flags so the agent doesn't compose jq | python | wc pipelines, output format that strips JSON's redundant field names. The blog is here: https://ift.tt/NV0lH67... 2. With cloud costs, precision matters. Telling a coding agent "make this Terraform cost-optimized" can be expensive and lossy. You burn tokens loading code and policy context into every conversation. Your agent could make up a price and you wouldn't know because it's difficult to verify that across the ~10M price points that AWS, Azure and Google have. The CLI runs static analysis on the code, uses the latest prices from cloud vendors, and passes that context to the coding agent. So that's what we're launching today - Cost.dev: https://cost.dev/ . - It runs locally. Your code never leaves your machine, you get a fast feedback loop, and you're not burning API calls per character when you want to fetch prices. - The CLI does the deterministic work. Fetching price points, scanning the code, validating fixes. The coding agent does the natural-language part. You don't have to trust the LLM to remember the rules, and can verify it called the right CLI command. - It provides a consistent rule layer across every tool you use. Get cost estimates in your IDE and your coding agent with a single install. We support Claude Code, GitHub Copilot, Cursor, Windsurf, OpenAI Codex, Gemini CLI, as well as IDEs like VS Code and JetBrains Before we keep building more in that direction, I want to sanity-check with HN: is "agents writing IaC in prod" actually a thing yet, or am I betting on a future that's still a year out? I know software developers are using coding agents heavily, but are platform/infra folks doing that for prod too? Also, if you have any feedback on Cost.dev, I'd love to hear it! https://cost.dev/ June 4, 2026 at 05:00PM

Show HN: Fork of Rsync https://ift.tt/KSHcWhG

Show HN: Fork of Rsync Hello. After hearing of the problematic LLM commits in rsync, I made a fork of rsync. I decided to fork it off release 3.4.1, since I heard that's the last release without the LLM code. https://ift.tt/soL9pir June 4, 2026 at 03:50AM

Show HN: Lint Your Markdown with ESLint https://ift.tt/PWeMjKB

Show HN: Lint Your Markdown with ESLint https://ift.tt/fEpcN8n June 3, 2026 at 07:17PM

Show HN: I created a React alternative using web componnents https://ift.tt/fdjxwiO

Show HN: I created a React alternative using web componnents https://ift.tt/Ey0lqbz June 4, 2026 at 01:30AM

Show HN: Live breath detection and biofeedback from a phone microphone https://ift.tt/UuOR5HQ

Show HN: Live breath detection and biofeedback from a phone microphone https://ift.tt/V3yLOlU June 2, 2026 at 09:32PM

Citywide Muni Goal Rush Connects Soccer Fans Starting June 11

Citywide Muni Goal Rush Connects Soccer Fans Starting June 11
By Nashelly Chavez

The Muni Goal Rush is a new citywide crawl that connects soccer fans across San Francisco from June 11 - July 19. A new citywide crawl — the Muni Goal Rush — is coming to San Francisco! This crawl invites you to root for your favorite teams and explore the city during the FIFA World Cup 26™ SF Bay Area. From June 11- July 19, experience world-class soccer, public transit and the best of nine San Francisco neighborhoods. With amazing prizes and the opportunity to explore, you won't want to miss out. How to play First, pick up a Muni Goal Rush game card. Find it at any of the participating...

Published 2026-06-02T00:00:00Z
https://ift.tt/nfb1h5B

Show HN: RePlaya – self-hosted browser session replay with live tailing https://ift.tt/sb7dprX

Show HN: RePlaya – self-hosted browser session replay with live tailing Hi HN, I'm one of the founders of s2.dev. RePlaya ( https://ift.tt/2dx9n7F ) is a self-hosted browser session replay tool using rrweb ( https://ift.tt/ZtnyMEk ). It occurred to me that a durable stream per session would be a much neater architectural foundation for much of what you'd want from such a tool. As a unique feature, it also made live tailing straightforward because the player can read from the same stream the recorder is appending to. The alternative architecture is likely an ingest firehose which is then indexed, with associated complexity and latency. You'd have to string together multiple data systems like a message queue, a metadata database, and blob storage and/or an OLAP database. Here the only dependency is S2, which has an open source version you can self-host called s2-lite ( https://ift.tt/RdGn7IH ). How it works: - one S2 stream per browser session - large rrweb events (like a full snapshot) get framed across multiple binary S2 records and reassembled on read - active sessions are tailed with an S2 read session, and bridged to the browser over SSE - session listing relies on stream names encoding reverse timestamps, as S2 returns a lexicographic order listing - relying on fencing tokens so a stopped session can't be written to again by a late recorder - retention and GC are handled via S2 stream config, so no background job needed Curious to hear from folks on the tool or the stream-per-session model! https://ift.tt/2dx9n7F June 2, 2026 at 11:10PM

Show HN: A free Linux adaptation of NETworkManager by BornToBeRoot https://ift.tt/Bw9gWl6

Show HN: A free Linux adaptation of NETworkManager by BornToBeRoot https://ift.tt/8FSCGHx May 30, 2026 at 10:10PM

Show HN: Trumpstonks – every company Trump's named, backtested vs. the S&P https://ift.tt/drytV5n

Show HN: Trumpstonks – every company Trump's named, backtested vs. the S&P https://ift.tt/buoj9Ga June 1, 2026 at 11:00PM

Show HN: Zaxy v1.0 https://ift.tt/GUhlT8M

Show HN: Zaxy v1.0 https://docs.zaxy.io/ June 1, 2026 at 02:49AM

Show HN: Llmff v1.0 FFmpeg for Inference https://ift.tt/5IowBZj

Show HN: Llmff v1.0 FFmpeg for Inference https://ift.tt/Pt9mJSQ June 1, 2026 at 02:50AM

Show HN: Streambed – Stream Postgres to Iceberg on S3, Supports Postgres Wire https://ift.tt/DO8ez9V

Show HN: Streambed – Stream Postgres to Iceberg on S3, Supports Postgres Wire https://ift.tt/12HxmMR June 1, 2026 at 12:13AM