Show HN: Breathe CLI – Paced resonance breathing in the macOS terminal https://ift.tt/4MUhRn6

Show HN: Breathe CLI – Paced resonance breathing in the macOS terminal I built a terminal app that paces slow breathing at 6 breaths per minute for vagal tone training. It's a single Python file, stdlib only, no dependencies — just run breathe and follow the bar. I'm a cardiology patient (HFrEF). Slow breathing at resonance frequency is one of the few non-pharmacological interventions shown to improve cardiac vagal tone and baroreflex sensitivity (Bernardi et al., Circulation 2002; Lancet 1998). I wanted a frictionless daily habit tool — no app store, no account, no subscription, just open terminal and go. Design constraints, all grounded in the clinical literature: - No breath retention — Valsalva risk in cardiac patients - No rapid breathing — minimum 8-second cycles - Exhale ≤ 2x inhale — no evidence for extreme ratios - Immediate exit, always — q or Ctrl+C restores the terminal even on crash The README includes a resonance frequency measurement protocol for anyone with a chest-strap HRV monitor who wants to find their individual optimum instead of using the 6 bpm default. macOS only (uses afplay for audio cues). MIT licensed. pip install breathe-cli or brew tap marekkowalczyk/breathe && brew install breathe. https://ift.tt/qtoRxdF May 30, 2026 at 05:30PM

Show HN: Komi-learn – continuous memory and self-improvement for coding agents https://ift.tt/Shiqmks

Show HN: Komi-learn – continuous memory and self-improvement for coding agents https://ift.tt/K4FqJiS May 31, 2026 at 02:11AM

Show HN: OWASP Agent Memory Guard – Stop AI Agent Memory Poisoning https://ift.tt/dpH7ets

Show HN: OWASP Agent Memory Guard – Stop AI Agent Memory Poisoning https://ift.tt/6AHMGmt May 31, 2026 at 12:17AM

Show HN: I made a Gemma 4 Mac app that names screenshots with local AI https://ift.tt/OQAk6va

Show HN: I made a Gemma 4 Mac app that names screenshots with local AI I made my first macOS utility app that ships with a bundled Gemma 4 model, specifically the Gemma E4B one. It made my app DMG have 5.3 GB in size, but I think it is a small size for the power that this free local model can provide. It runs fine on CPU, but can also run on Apple Silicon GPU, although I did not notice any performance improvements with GPU (tested on a M5 chip). I think these local lightweight and multimodal models will open multiple possibilities for new software tools where privacy is essential. https://snapname.app May 30, 2026 at 10:40PM

Show HN: Jynx, a matchmaking app to find gaming teammates https://ift.tt/XznqpOw

Show HN: Jynx, a matchmaking app to find gaming teammates TL;DR: Jynx is a gaming social platform that matches you with compatible teammates based on skill level, play style and schedule. Swipe to find players (Tinder-style), create or join game sessions (LFG), chat, and build your squad. 214k lines of Dart, 23 feature modules, built entirely with Claude Code as my entry into agentic engineering. Live on App Store and Play Store: https://ift.tt/d2WI1sq https://ift.tt/lYdMgeS... --- Hi HN, long time lurker, first time poster, be gentle. Developer by day, vibe coder by night: Jynx is the project I used to ease into agentic engineering. AI talks are mitigated, at best. But I'll talk about my experience here. Forgive my erratic style, it is what it is. Working with Claude from the very beginning, it's been a blast. I had the "chance" to have the time necessary to learn and use AI a lot. Lots of different techniques that quickly became completely obsolete today. Without LLMs, it would have been extremely hard to have the same app than I have today. I used Flutter (Dart) to avoid having to dev and maintain two codebases. It is not a language I knew. Learning the language first would have severely hindered the process. For me, from copy/paste to using MCP then Roo Code, then Claude Code was an ecstatic process. I always loved having ideas but the time it would take me to build the thing and test it always felt too long. Not anymore. So we carefully designed, iterated and implemented the two codebases for Jynx. One for the flutter app, one for the firebase backend. I chose Firebase to avoid having to maintain a server and be able to focus on the UI/UX of the app. We started thinking about it in December 2024 and started devs early 2025; not working on it full time at all. We really poured our heart into it and we truly tried to make it as secure as possible. Even though we mean business, it is a passion project. By using the excuse of learning agentic flows, I took the time to inspect each aspects of the app's systems thoroughly. Tech stack: - Flutter 3.41 / Dart 3.11 (single codebase, iOS + Android) - Firebase (Firestore, Cloud Functions in TypeScript, Auth, Storage, FCM) - Riverpod 3.1 + Freezed + json_serializable for state management & immutable models - Drift for encrypted local SQLite caching (offline-first architecture to optimize Firebase costs) - Clean Architecture with feature modules and mixin-based repositories - Sentry + Firebase Crashlytics for production error reporting - Freerasp for runtime app self-protection (tamper detection, root/jailbreak) Agentic engineering artifacts: - Claude Code (Claude + GLM) as primary coding agent - 22 hooks, 18 skills, 13 instincts, 8 rule files, custom subagents, slash commands, MCP servers and plugins (instincts system from Affaan's https://ift.tt/SgdrcHw ) - GitNexus - MemPalace for persistent context across sessions Stats: 1,239 Dart files, 214k lines of code (excluding generated boilerplate), 30k lines of comments across the Flutter codebase. I made a detailed cheatsheet document about my whole setup if you want it. I could post it or you DM me. If you have questions, ask away, I'll gladly answer. Test it and tell me what you think of it honestly, I won't get offended! Take care, Antoine https://jynx.app/ May 30, 2026 at 10:45AM

Show HN: Helios – what plug-in solar could generate for any address in Britain https://ift.tt/gB3fPvb

Show HN: Helios – what plug-in solar could generate for any address in Britain Plug-in solar panels (no electrician needed) have just become legal in the UK and will go on sale soon. Helios estimates how much electricity a typical installation could generate at a given address and what that's worth against your tariff. It uses UK government LIDAR data to reflect the actual skyline, so it knows whether there's a building or a hill blocking the sun. Caveats: - Outside LIDAR coverage (most of Scotland and Wales) it falls back to a synthetic horizon (less accurate). - Trees and recent developments (post-2022 or so) may not be in the data, and some address placements could be off (geocoding via OSM). Feedback on the shading model especially welcome. https://ift.tt/4Km3PRU May 30, 2026 at 08:08AM

Show HN: I built an Android OS in the browser https://ift.tt/5jsNUIL

Show HN: I built an Android OS in the browser https://mobilegym.dev/ May 30, 2026 at 02:40AM