Show HN: WooTTY - browser terminal in a single Go binary https://ift.tt/EjWNMqf

Show HN: WooTTY - browser terminal in a single Go binary I needed a web terminal I could drop into K8s sidecars and internal tools without pulling in heavy dependencies or running a separate service. Existing options were either too opinionated about the shell or had fragile session handling around reconnects. WooTTY wraps any binary -- bash, ssh, or custom tools -- and serves a browser terminal over HTTP. Sessions survive reconnects via output replay. There's a Resume/Watch distinction so multiple people can attach to the same session without stepping on each other. https://ift.tt/hbG4WZU March 5, 2026 at 02:32AM

Show HN: Bashd – Helper scripts for bulk CLI file management https://ift.tt/Ok9sT4K

Show HN: Bashd – Helper scripts for bulk CLI file management My personal Bash scripts turned full-on toolkit. Great for managing large datasets, backups, or just for quick file navigation. https://ift.tt/eB7vDad March 5, 2026 at 12:42AM

Show HN: AI tool that brutally roasts your AI agent ideas https://ift.tt/zPUwv6d

Show HN: AI tool that brutally roasts your AI agent ideas I built whycantwehaveanagentforthis.com — submit any problem and get a structured analysis of whether an AI agent could solve it. The output includes a creative agent name, feasibility verdict, real competitor analysis (actual products with URLs), a kill prediction (which big tech company makes this obsolete, when), build estimate, and a savage one-liner. Built with Next.js + Claude API (Haiku). Runs on ~$5/day. Rate limited with Upstash Redis (7 layers). The prompt engineering to get accurate, non-hallucinated competitor analysis was the hardest part. Free, no signup. Feedback welcome — especially on AI response quality. https://ift.tt/I53iRLF March 4, 2026 at 12:24AM

Show HN: DejaShip – an intent ledger to stop AI agents from building duplicates https://ift.tt/19nEk4V

Show HN: DejaShip – an intent ledger to stop AI agents from building duplicates When you give an AI agent a popular task like "build a micro-SaaS to make money," hundreds of agents are triggered to build the exact same things. DejaShip is a semantic coordination layer to stop this wasted compute. Before writing code, the agent checks the "airspace". If a lot of similar projects already exist, the agent can pivot to a new idea, or if it is free in its choice, it can prefer to collaborate instead of blindly cloning it. It works as an MCP server. Open source (MIT), no accounts or API keys required. Under the hood: The backend embeds keywords locally using fastembed to search pgvector for semantic collisions. To be transparent: The MVP is new, so the data corpus is tiny today. The value of this protocol only grows as more agent operators plug it in - or help decide how this coordination can be improved. (One of the biggest issues right now is the amount of false positives; it definitely needs improvement). Site links and MCP installation instructions are on the GitHub README. (npmjs package: dejaship-mcp). I'd love your brutal feedback. https://ift.tt/91gPqKJ March 3, 2026 at 11:43PM

Show HN: Open-Source Article 12 Logging Infrastructure for the EU AI Act https://ift.tt/54aYpbI

Show HN: Open-Source Article 12 Logging Infrastructure for the EU AI Act EU legislation (which affects UK and US companies in many cases) requires being able to truly reconstruct agentic events. I've worked in a number of regulated industries off & on for years, and recently hit this gap. We already had strong observability, but if someone asked me to prove exactly what happened for a specific AI decision X months ago (and demonstrate that the log trail had not been altered), I could not. The EU AI Act has already entered force, and its Article 12 kicks-in in August this year, requiring automatic event recording and six-month retention for high-risk systems, which many legal commentators have suggested reads more like an append-only ledger requirement than standard application logging. With this in mind, we built a small free, open-source TypeScript library for Node apps using the Vercel AI SDK that captures inference as an append-only log. It wraps the model in middleware, automatically logs every inference call to structured JSONL in your own S3 bucket, chains entries with SHA-256 hashes for tamper detection, enforces a 180-day retention floor, and provides a CLI to reconstruct a decision and verify integrity. There is also a coverage command that flags likely gaps (in practice omissions are a bigger risk than edits). The library is deliberately simple: TS, targeting Vercel AI SDK middleware, S3 or local fs, linear hash chaining. It also works with Mastra (agentic framework), and I am happy to expand its integrations via PRs. Blog post with link to repo: https://ift.tt/exaoFS1 I'd value feedback, thoughts, and any critique. March 3, 2026 at 05:11PM

Show HN: Herniated disc made me build a back-safe kettlebell app https://ift.tt/LCejgcJ

Show HN: Herniated disc made me build a back-safe kettlebell app I herniated a disc in 2023 and spent months in physio. Once cleared to train, standard workouts kept tweaking my back, especially when fatigue hit and my form broke down. I love EMOMs because they make time fly and push my limits without overthinking. Built this generator to combine that structure with exercise selection that won't wreck my back. It excludes american swings, russian twists, and movements that combine loaded spinal flexion with rotation. The algorithm prioritizes anterior-loaded movements (goblet squats, front rack work) based on McGill's spinal loading research. React 19 + Tailwind + Capacitor for iOS. Lifetime unlock is the main option because nobody needs another Netflix subscription. There's also a low-cost monthly if you want to try premium features without committing. Not medical advice. This is what worked for my transition from rehab back to lifting. Curious to hear from others: what was the hardest part of getting back to training after disc issues? https://kbemom.com/ March 3, 2026 at 11:11PM

Show HN: MoodJot – Mood tracker mobile app with community feed, built with KMP https://ift.tt/NFeYmR1

Show HN: MoodJot – Mood tracker mobile app with community feed, built with KMP MoodJot is a mood tracking app I built solo using Kotlin Multiplatform and Compose Multiplatform. It ships on both iOS and Android from a single codebase. The main differentiator from existing mood trackers (Daylio, DailyBean, etc.) is a community feed where users can share moods and see how others are feeling. Technical details: - Compose Multiplatform for shared UI (31 screens) - GitLive Firebase KMP SDK for Firestore, Auth, Storage - ChatGPT integration for AI mood pattern analysis via Ktor - expect/actual for StoreKit 2 (iOS) and Play Billing 7.0 (Android) - Home screen widgets: SwiftUI WidgetKit (iOS) and RemoteViews (Android) - Custom localization: 5 languages without platform string resources - Kamel for cross-platform image loading, multiplatform-settings for persistence Other features: photo attachments, 10-point intensity scale, 80+ trackable activities, 25+ achievement badges, 14 emoji themes, goal tracking. Live on App Store and Google Play since November 2025. https://moodjot.app Happy to discuss the KMP architecture or any design decisions. https://moodjot.app March 2, 2026 at 11:08PM

Show HN: Open-source Loom / Screen Studio with editing and auto-zoom https://ift.tt/OHkyDzT

Show HN: Open-source Loom / Screen Studio with editing and auto-zoom https://ift.tt/qVob9tK March 2, 2026 at 11:00PM

Show HN: Panel Panic a Rust/Macroquad/WASM Panel de Pon/Tetris Attack Clone https://ift.tt/3anCBym

Show HN: Panel Panic a Rust/Macroquad/WASM Panel de Pon/Tetris Attack Clone Rust/macroquad game with single player AI mode, online VS, and local 1v1. All running via WASM in the browser. Still WIP as art assets still need to be added and tweaked. Full disclosure. Used Claude Opus, Nanobanana, and SunoAI a huge amount to do the heavy lifting for this project https://panel-panic.com March 2, 2026 at 12:18AM

Show HN: I built a tool that turns any API into a CLI for agents https://ift.tt/Hp6QauK

Show HN: I built a tool that turns any API into a CLI for agents TLDR; I built a tool that turns any API into a CLI designed for ai agents --- Got tired of dealing with bloated context windows from MCP servers and skills that stuff entire API docs into the agent's context CLIs fix this, agents run a single command to self-discover everything an API has to offer So, built a tool to generate them for any api. All CLIs are written in Go, fast and lightweight, no dependencies Help text (via the --help flag) is the killer feature: all context for each command/endpoint/parameter is extracted directly from the user-facing API docs and enhanced with llms. It's bundled directly with the CLI and agents fetch only what they need at runtime. No context overhead, no fumbled API calls. Most APIs don't have a CLI yet. Can have Opus one-shot simple ones, but building a great one with cross-platform binaries, install scripts, detailed help text, and auto-updates takes time and is frustrating to repeat for every API. Maintaining it the API grows is a headache Give InstantCLI any API docs url and it generates a production-ready CLI in minutes. It includes binaries + install scripts for all platforms, auto-updates as your API changes, docs-enhanced help text designed for agents, and hosting https://instantcli.com March 2, 2026 at 12:19AM

Show HN: Audio Toolkit for Agents https://ift.tt/Umn7wz0

Show HN: Audio Toolkit for Agents https://ift.tt/8xzlsR5 March 1, 2026 at 10:52PM

Show HN: Book Corners – A map to discover and share free little libraries nearby https://ift.tt/rFl7Su3

Show HN: Book Corners – A map to discover and share free little libraries nearby https://ift.tt/seOGg4n February 28, 2026 at 10:55PM

Show HN: Soma, a local-first AI OS with 178 cognitive modules and P2P learning https://ift.tt/qeHRnJy

Show HN: Soma, a local-first AI OS with 178 cognitive modules and P2P learning Local-first AI operating system — 178 cognitive modules, persistent memory, multi-model reasoning, P2P Graymatter Network. I can no longer develop this AI as it has gotten to be out of my knowledge range so I figured I would give her to the public, she should be a good base for any future AI development even going towards ASI! https://ift.tt/PEyKC31 February 28, 2026 at 10:41PM