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

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