Postingan

Show HN: Multiplayer, a debugging agent to run locally next to your coding agent https://ift.tt/aVv1MOh

Show HN: Multiplayer, a debugging agent to run locally next to your coding agent We built Multiplayer because we kept running into the same problem: coding agents connected to existing observability stacks inherit all the limitations those stacks were built with. Sampled traces, aggregated metrics, context that stops at service boundaries, missing request/response content from deep within the system. The PRs they produce look plausible and fail in production (i.e. “PR slop”). Multiplayer runs locally alongside Claude Code (Codex, Copilot, and Cursor coming soon) and captures full-stack, unsampled session data across your entire system. We collect everything from frontend user actions to backend traces and logs, including request/response content and headers. It’s all the things most observability tools either sample out or don't capture at all. We only save data when something goes wrong, so you're not paying to store everything your system produces around the clock. When an is...

Show HN: Hallucinate – Massively Multiplayer Online Rave https://ift.tt/VBahmtv

Show HN: Hallucinate – Massively Multiplayer Online Rave https://ift.tt/jhHyUEA https://hallucinate.site May 28, 2026 at 10:50AM

Show HN: Hodor – a 701KB native macOS prompt launcher for AI tools https://ift.tt/PD4jIkw

Show HN: Hodor – a 701KB native macOS prompt launcher for AI tools Hodor is a tiny macOS app that launches saved AI prompts into any text field — from the screen edge, keyboard shortcut, or keyword such as ;git. I work with different AI tools every day, and had prompts scattered across Raycast snippets, Apple Notes, and Notion — notes that kept getting longer and unmanageable. Raycast snippets are useful, but cumbersome to browse and edit. I wanted one local place to save and review them, and one click to paste them into whatever AI tool I'm using. The test I set was whether I could actually stop using Raycast snippets for this. I think I fulfilled my goal. Hodor has been my daily tool for 3 months now. The app is 701 KB — SwiftUI + SwiftData, no web views. Zero network requests anywhere in the code: no analytics, no telemetry, no update checks. You can verify - search the source for URLSession, it's not in code. Runs on macOS 15+, with native Liquid Glass on macOS 26+. Free an...

Show HN: Demon – open-source real-time music diffusion engine, 25Hz local GPU https://ift.tt/pXwYJHk

Show HN: Demon – open-source real-time music diffusion engine, 25Hz local GPU YO, I’m Ryan, lead author. I’ve been contributing open source generative audio stuff for a while now, audio reactive Comfy nodes, extended ACEstep support in Comfy, etc.. I just opened-sourced a new audio project that I've been working on for a few months and I want to tell y'all about it. WHAT IS IS DEMON: Diffusion Engine for Musical Orchestrated Noise This is StreamDiffusion but with audio instead of images, and ACEStep 1.5 instead of Stable Diffusion. It’s responsive enough that you can play it like an instrument, and remix in near real-time. I also distilled the ACEStep VAE: it’s faster at the expense of some quality. I also trained something like 200 lora/dora for ACEStep 1.5 and 1.5XL: I will release these in batches of 5 or 10 or something WHY IT IS Two reasons: 1) Making music is an inherently real-time activity 2) Why not bro SOME RUNTIME CAPABILITIES -Real-time remixing of songs -Denoise, ...

Show HN: Gochan – A library of channel architectures for Go, inspired by Rust https://ift.tt/kTBWwYS

Show HN: Gochan – A library of channel architectures for Go, inspired by Rust Hi All, I felt like I was re-inventing the wheel by bolting similar channel architectures onto different Go structs repeatedly so I decided to extract some common types into into one library so that they would be easier to re-use: - oneshot - spsc - spmc - mpsc - mpmc - broadcast - watch The types are inspired by Rust channels so if you're coming from Rust they should feel familiar. So far I'm really enjoying using them but it'd be great to get some external feedback if you have time! https://ift.tt/Xn7TbPh Andres https://ift.tt/Xn7TbPh May 27, 2026 at 11:06PM

Show HN: NeuroFlow 55.8x video inference speedup for Vision Transformers PyTorch https://ift.tt/pfNxjk2

Show HN: NeuroFlow 55.8x video inference speedup for Vision Transformers PyTorch https://ift.tt/Kk6jGZ1 May 26, 2026 at 11:04PM