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Show HN: DAC – open-source dashboard as code tool for agents and humans

Hi all, this is Burak.<p>When agents became a reality one of the first things I wanted to do was to automate building dashboards. The first, and the most obvious, wall that I ran into was that a lot of the tools were just driven by UI. This meant that without the agents handling browser UIs and whatnot, it wasn't possible to have the agents do that. In addition, it would be impossible to review any of the changes the agent would make.<p>The first instinct there is to get your agent to build a React app for the dashboard. This works beautifully for the happy path, but I quickly ran into other issues there: - every dashboard turns out to be different - have to implement a backend to centralize the query execution - there is no centralized mechanism to control the rules and standards around visualizations - there is no way to get a semantic layer working with the dashboards easily<p>In the end, agents ended up reinventing the wheel for every new dashboard, even under the same project. Building a standardized, local project for these turned out to be building a BI tool from scratch.<p>After trying these out, I asked myself: what if the dashboards were built for agents as the primary user?<p>A product like that would need to have a couple of features: - First of all, everything needs to be driven by version-controllable text. YAML is fine. - Changes to the dashboards should be easy to review and understand by humans. - Agents are great at writing code, it'd be great if this were driven by code to have dynamic stuff: JSX would be great. - Static analysis being a first-class citizen: validate dashboards before deploying. Agents can check their work too. - A standardized way of deploying these based on a couple of files in a folder: operationally very simple. - Built-in semantic layer to standardize metrics.<p>That's what I ended up building: dac (Dashboard-As-Code) is an open-source tool and a spec to define dashboards, well, as code. It contains an implementation in Go that can be deployed as a single binary anywhere. The dashboards are defined in YAML and JSX, YAML for static stuff, JSX for dynamic dashboards. You can run queries at load time to define conditional charts, generate tabs on the fly per customer, or list charts for each A/B test you are running.<p>I built it in Go because I do love Go, and I think it is the greatest language at the moment to work with AI agents.<p>dac runs as a single binary, you can get started with a `dac init` command and it'll automatically create some sample dashboards for you based on duckdb. It supports 10+ SQL backends, with more to come. It supports validation, custom themes and whatnot.<p>You can see it here: <a href="https://github.com/bruin-data/dac" rel="nofollow">https://github.com/bruin-data/dac</a><p>I would love to hear what can be improved here, please let me know your thoughts.

Show HN: Pollen – distributed WASM runtime, no control plane, single binary

Show HN: Pollen – distributed WASM runtime, no control plane, single binary

Show HN: Apple's SHARP running in the browser via ONNX runtime web

Hi HN, author here. SHARP is Apple's recent single-image 3D Gaussian splatting model (<a href="https://arxiv.org/abs/2512.10685" rel="nofollow">https://arxiv.org/abs/2512.10685</a>). Their reference code is PyTorch + a pretty heavy pipeline; I wanted to see if it could run in a browser with no server hop, so I exported the predictor to ONNX and ran it via onnxruntime-web with the WebGPU EP.<p>What works: drop in an image, get a .ply you can download or preview live, all on your machine — your image never leaves the tab. The model is large (~2.4 GB sidecar) so first load is slow on a cold cache, but inference itself is a few seconds on a recent Mac.<p>Caveats: SHARP's released weights are research-use only (Apple's model license, not the code's). I host the exported ONNX on R2 so thedemo "just works", but you can also export your own from the upstream Apple repo and upload locally.<p>Happy to talk about it in the comments :)

Show HN: Apple's SHARP running in the browser via ONNX runtime web

Hi HN, author here. SHARP is Apple's recent single-image 3D Gaussian splatting model (<a href="https://arxiv.org/abs/2512.10685" rel="nofollow">https://arxiv.org/abs/2512.10685</a>). Their reference code is PyTorch + a pretty heavy pipeline; I wanted to see if it could run in a browser with no server hop, so I exported the predictor to ONNX and ran it via onnxruntime-web with the WebGPU EP.<p>What works: drop in an image, get a .ply you can download or preview live, all on your machine — your image never leaves the tab. The model is large (~2.4 GB sidecar) so first load is slow on a cold cache, but inference itself is a few seconds on a recent Mac.<p>Caveats: SHARP's released weights are research-use only (Apple's model license, not the code's). I host the exported ONNX on R2 so thedemo "just works", but you can also export your own from the upstream Apple repo and upload locally.<p>Happy to talk about it in the comments :)

Show HN: Apple's SHARP running in the browser via ONNX runtime web

Hi HN, author here. SHARP is Apple's recent single-image 3D Gaussian splatting model (<a href="https://arxiv.org/abs/2512.10685" rel="nofollow">https://arxiv.org/abs/2512.10685</a>). Their reference code is PyTorch + a pretty heavy pipeline; I wanted to see if it could run in a browser with no server hop, so I exported the predictor to ONNX and ran it via onnxruntime-web with the WebGPU EP.<p>What works: drop in an image, get a .ply you can download or preview live, all on your machine — your image never leaves the tab. The model is large (~2.4 GB sidecar) so first load is slow on a cold cache, but inference itself is a few seconds on a recent Mac.<p>Caveats: SHARP's released weights are research-use only (Apple's model license, not the code's). I host the exported ONNX on R2 so thedemo "just works", but you can also export your own from the upstream Apple repo and upload locally.<p>Happy to talk about it in the comments :)

Show HN: Apple's SHARP running in the browser via ONNX runtime web

Hi HN, author here. SHARP is Apple's recent single-image 3D Gaussian splatting model (<a href="https://arxiv.org/abs/2512.10685" rel="nofollow">https://arxiv.org/abs/2512.10685</a>). Their reference code is PyTorch + a pretty heavy pipeline; I wanted to see if it could run in a browser with no server hop, so I exported the predictor to ONNX and ran it via onnxruntime-web with the WebGPU EP.<p>What works: drop in an image, get a .ply you can download or preview live, all on your machine — your image never leaves the tab. The model is large (~2.4 GB sidecar) so first load is slow on a cold cache, but inference itself is a few seconds on a recent Mac.<p>Caveats: SHARP's released weights are research-use only (Apple's model license, not the code's). I host the exported ONNX on R2 so thedemo "just works", but you can also export your own from the upstream Apple repo and upload locally.<p>Happy to talk about it in the comments :)

Show HN: State of the Art of Coding Models, According to Hacker News Commenters

Hello HN,<p>I was away from my computer for two weeks, and after coming back and reading the latest discussions on HN about coding assistants (models, harnesses), I felt very out of the loop. My normal process would have been to keep reading and figure out the latest and greatest from people's comments, but I wanted to try and automate this process.<p>Basically the goal is to get a quick overview over which coding models are popular on HN. A next iteration could also scan for harnesses that people use, or info on self-hosting or hardware setups.<p>I wrote a short intro on the page about the pipeline that collects and analyzes the data, but feel free to ask for more details or check the Google Sheet for more info.<p><a href="https://hnup.date/hn-sota" rel="nofollow">https://hnup.date/hn-sota</a>

Show HN: State of the Art of Coding Models, According to Hacker News Commenters

Hello HN,<p>I was away from my computer for two weeks, and after coming back and reading the latest discussions on HN about coding assistants (models, harnesses), I felt very out of the loop. My normal process would have been to keep reading and figure out the latest and greatest from people's comments, but I wanted to try and automate this process.<p>Basically the goal is to get a quick overview over which coding models are popular on HN. A next iteration could also scan for harnesses that people use, or info on self-hosting or hardware setups.<p>I wrote a short intro on the page about the pipeline that collects and analyzes the data, but feel free to ask for more details or check the Google Sheet for more info.<p><a href="https://hnup.date/hn-sota" rel="nofollow">https://hnup.date/hn-sota</a>

Show HN: State of the Art of Coding Models, According to Hacker News Commenters

Hello HN,<p>I was away from my computer for two weeks, and after coming back and reading the latest discussions on HN about coding assistants (models, harnesses), I felt very out of the loop. My normal process would have been to keep reading and figure out the latest and greatest from people's comments, but I wanted to try and automate this process.<p>Basically the goal is to get a quick overview over which coding models are popular on HN. A next iteration could also scan for harnesses that people use, or info on self-hosting or hardware setups.<p>I wrote a short intro on the page about the pipeline that collects and analyzes the data, but feel free to ask for more details or check the Google Sheet for more info.<p><a href="https://hnup.date/hn-sota" rel="nofollow">https://hnup.date/hn-sota</a>

Show HN: Destiny – Claude Code's fortune Teller skill

Destiny is the Claude Code's plugin that gives you a real fortune reading.<p>Type /destiny to see today's destiny!<p>It uses the actual classical East Asian astrology system. You enter your birthday once, then /destiny gives you today's reading anytime.<p>Two layers, kept honest:<p>1. The numbers (your eight-character birth chart, today's day pillar, the hexagram for the moment, five-element relationships) are computed by a Python script. Same person + same day = identical output. You can verify against any traditional calendar source.<p>2. The prose (today's stars, character sketch, life arc, advice) is written by Claude, applying centuries-old reading conventions to that fixed data. Not LLM-hallucinated horoscope.<p>If you have fun with it, a star would mean a lot.

Show HN: Site Mogging

Hi HN,<p>I've been playing around with Cloudflare's Browser Run and Workers AI to create this funny "website vs website"-website.<p>Google's Gemma 4b model is actually quite good at vision.

Show HN: AI CAD Harness

Hi HN, I'm Zach, one of the co-founders of Adam (<a href="https://adam.new">https://adam.new</a>).<p>We've been on HN twice before with text-to-CAD/3D experiments [1][2]. The honest takeaway from those threads: prompt-to-3D model web apps are fun, but serious mechanical engineers don't want a black box that spits out an STL. They want help inside the CAD tool they already use, with full visibility and control over the feature tree.<p>So we built that. Adam is now a harness that integrates directly with your CAD. It reads your parts, understands the existing feature tree, and edits it for you agentically. We are now live in beta on Onshape and Fusion! [3]:<p>Install link Autodesk Fusion: <a href="https://fusion.adam.new/install">https://fusion.adam.new/install</a><p>Install link PTC Onshape: <a href="https://cad.onshape.com/appstore/apps/Design & Documentation/690a8dc864e816c112aa66a0" rel="nofollow">https://cad.onshape.com/appstore/apps/Design & Documenta...</a><p>Things people are using it for today: - "Merge redundant features and clean up my tree" - "Rename every feature so the tree is actually readable" - "Round all internal edges with a 2mm fillet" - “Parametrize my model” - Along with of course, using Adam to generate CAD end-to-end!<p>A few things we care about that aren't obvious from the listing:<p>1. From the start we have always believed in CAD as code as the right abstraction. Our harness leverages Onshape's FeatureScript and Python in Fusion heavily.<p>2. We run an internal CAD benchmark across frontier models. There has been a massive jump in the spatial reasoning capabilities of recent models, particularly GPT 5.5 and Opus 4.7 [4] [5]<p>3. We open-sourced our earlier text-to-CAD work [6]<p>A note on the Anthropic Autodesk connector that shipped a couple days ago [7]: We think it's great for the space and validates the direction.<p>Where Adam is different: - Model-agnostic. We pick whichever frontier model is winning on each task type from our own internal bench, instead of being tied to one lab. - We live natively in your CAD apps and are actively building integrations across all programs<p>What would you want an in-CAD agent to do that nothing does today?<p>[1] <a href="https://news.ycombinator.com/item?id=44182206">https://news.ycombinator.com/item?id=44182206</a><p>[2] <a href="https://news.ycombinator.com/item?id=45140921">https://news.ycombinator.com/item?id=45140921</a><p>[3] <a href="https://x.com/adamdotnew/status/2050264512230719980?s=20" rel="nofollow">https://x.com/adamdotnew/status/2050264512230719980?s=20</a><p>[4] <a href="https://x.com/adamdotnew/status/2044859329329893376?s=20" rel="nofollow">https://x.com/adamdotnew/status/2044859329329893376?s=20</a><p>[5] <a href="https://x.com/adamdotnew/status/2047795078912172122?s=20" rel="nofollow">https://x.com/adamdotnew/status/2047795078912172122?s=20</a><p>[6] <a href="https://github.com/Adam-CAD/CADAM" rel="nofollow">https://github.com/Adam-CAD/CADAM</a><p>[7] <a href="https://x.com/claudeai/status/2049143440508616863?s=20" rel="nofollow">https://x.com/claudeai/status/2049143440508616863?s=20</a>

Show HN: Perfect Bluetooth MIDI for Windows

Hi HN, I'm Erwin. I built a small free open-source utility that bridges Bluetooth LE MIDI keyboards into the new Windows MIDI Services stack so any DAW or Web MIDI app can use them as if they were wired.<p>I bought a Roland FP-90X piano partly because it had Bluetooth MIDI. On my Windows 11 PC, pairing succeeded, but my DAW couldn't see the keyboard, and notes I sent from the PC never made the piano sing. After a regrettable number of evenings, I'd separated this into three independent bugs stacked on top of each other.<p>The first one is the famous one: Windows only natively exposes BLE-MIDI through the WinRT API, which almost no DAW polls. So even when pairing succeeds, MIDI apps still don't see the device. The usual workaround is MIDIberry + loopMIDI, but I couldn't get that combination to work reliably in my case, and I wanted a single-app solution. The new Windows MIDI Services stack ships with a feature called loopback endpoints: anything written to one comes out the other, and any winmm/WinRT/WMS app sees them as normal MIDI ports. So the app does WinRT BLE-MIDI in, WMS loopback out. That solved direction one, piano to PC.<p>Direction two, PC to piano, still didn't work. NoteOn writes were getting ATT-acked, but the piano stayed silent. I tried both write modes (some BLE-MIDI firmware silently drops one or the other), poked the proprietary ISSC characteristic. Every variant ATT-acked, every variant produced silence. So the bytes were reaching the piano. Something above the GATT layer was discarding them.<p>After ruling out pairing, encryption, write-mode, and proprietary characteristics, the only obvious lever left was the MIDI channel itself. The FP-90X has a panel setting called Transmit Channel, default 1. Yet it turns out the FP-90X actually receives on channel 4 (and it can't be changed). Notes I sent on channel 1 were being GATT-acked and silently dropped at the synth engine because they weren't on the channel the engine was listening to. Zero feedback at any layer. The fix had to live up at the application layer, so I added a Detect button that plays N test notes ascending on each channel from 1 to 16: you count the notes you actually hear, and that number is the receive channel. Saved per BLE MAC, about 75 seconds, done forever per piano.<p>Tech stack: .NET 10, Avalonia for the UI (the BLE/MIDI side is Windows-only but the UI layer is portable), Microsoft.Windows.Devices.Midi2 packages for WMS, Windows.Devices.Midi (WinRT) directly for BLE rather than relying on Korg's older WinMM driver. MIT, single self-contained ~21 MB exe, no installer, no telemetry, no account.<p>I built it for myself and use it with my FP-90X to play through a few apps and Web MIDI sites. Pete from the Microsoft Windows MIDI Services team commented positively on the BLE integration when I shared it on r/synthesizers (<a href="https://www.reddit.com/r/synthesizers/comments/1szvuiq/comment/oj5ew9b/" rel="nofollow">https://www.reddit.com/r/synthesizers/comments/1szvuiq/comme...</a>).<p>Site (with screenshots): <a href="https://mayerwin.github.io/Perfect-Bluetooth-MIDI-For-Windows/" rel="nofollow">https://mayerwin.github.io/Perfect-Bluetooth-MIDI-For-Window...</a><p>Source: <a href="https://github.com/mayerwin/Perfect-Bluetooth-MIDI-For-Windows" rel="nofollow">https://github.com/mayerwin/Perfect-Bluetooth-MIDI-For-Windo...</a><p>Long-form technical writeup with the full debugging story: <a href="https://dev.to/mayerwin/why-your-bluetooth-midi-keyboard-silently-drops-notes-on-windows-2i84" rel="nofollow">https://dev.to/mayerwin/why-your-bluetooth-midi-keyboard-sil...</a><p>Personally tested with my FP-90X only. The BLE side is generic, so other keyboards (WIDI Master, CME, Yamaha MD-BT01, Korg microKey Air, ROLI Seaboard, etc.) should work, but I haven't confirmed individually. Device test reports, issues, and PRs very welcome.

Show HN: Winpodx – run Windows apps on Linux as native windows

Show HN: GhostBox – Borrow a disposable little machine from the Global Free Tier

I built this because I was always creating machines on GH actions to test builds on different OS, and I wanted a tight CLI that could do it. I always saw Actions as this great resources and ephemeral machines you could do dev work in just were a natural way for me to work, so this grew out of that workflow.<p>I didn't expect it to blow up, so it wasn't 100% finished when I posted it. But it should stabilize pretty quickly.<p>Happy to know what you think and talk about it.

Show HN: WhatCable, a tiny menu bar app for inspecting USB-C cables

USB-C cables can be a mess. One cable charges at 5W, another does 100W and Thunderbolt 4, and they look identical in the drawer.<p>WhatCable sits in your menu bar and reads the cable data your Mac already has access to. Plug in a cable and it tells you in plain English what it can actually do: charging wattage, data speed, display support, Thunderbolt, etc.<p>Built in Swift/SwiftUI. Open source, free, no tracking.<p>GitHub: <a href="https://github.com/darrylmorley/whatcable" rel="nofollow">https://github.com/darrylmorley/whatcable</a>

Show HN: TRiP – a complete transformer engine in C built from scratch just by me

Show HN: I wrote a DOOM clone in my own programming language

Show HN: My retired dad and I made a daily, somewhat difficult, quiz

My dad makes the questions, I made the site.<p>I think the genre and the level of difficulty is suited for HN. Hope you enjoy.<p>(I promise no AI-generated questions, they are all hand made!).