Show HN: MasqueradeORM – Memory Efficient Node ORM: Just Write Classes https://ift.tt/KgCXx98

Show HN: MasqueradeORM – Memory Efficient Node ORM: Just Write Classes https://ift.tt/ekyqx6Z February 25, 2026 at 12:41AM

Show HN: Ghist – Task management that lives in your repo https://ift.tt/gUbtJRh

Show HN: Ghist – Task management that lives in your repo https://ift.tt/Wts4IwS February 24, 2026 at 11:55PM

Show HN: EloPhanto – A self-evolving AI agent that builds its own tools https://ift.tt/bgVKYSt

Show HN: EloPhanto – A self-evolving AI agent that builds its own tools I built EloPhanto because I wanted an AI agent that could actually execute tasks on my machine with full visibility — not a black box API call. It runs locally and controls a real Chrome browser (47 tools) using your existing sessions. The standout feature: when EloPhanto encounters a task it doesn't have a tool for, it autonomously writes the Python code, tests it, reviews itself, and integrates the new tool permanently. It's now built 99+ tools for itself this way. Other features: - Multi-channel gateway (CLI, Telegram, Discord, Slack) with unified sessions - MCP tool server support (connect any MCP server) - Document & media analysis (PDF, images, OCR, RAG) - Agent email (own inbox for service signup/verification) - Crypto payments wallet (Base chain, spending limits) - TOTP authenticator (autonomous 2FA handling) - Evolving identity that learns from experience - Skill system with EloPhantoHub marketplace (28 bundled skills) It's open source (Apache 2.0), local-first, and designed to be your personal AI operating system. The project is very new — currently at 6 stars on GitHub. I'd love to get feedback on the architecture, the self-development approach, or what features you'd want in a local agent. https://ift.tt/xYzytgK February 23, 2026 at 10:28PM

Show HN: TTSLab – A voice AI agent and TTS lab running in the browser via WebGPU https://ift.tt/0vW7Tsc

Show HN: TTSLab – A voice AI agent and TTS lab running in the browser via WebGPU I built TTSLab — a free, open-source tool for running text-to-speech and speech-to-text models directly in the browser using WebGPU and WASM. No API keys, no backend, no data leaves your machine. When you open the site, you'll hear it immediately — the landing page auto-generates speech from three different sentences right in your browser, no setup required. You can then try any model yourself: type text, hit generate, hear it instantly. Models download once and get cached locally. The most experimental feature: a fully in-browser Voice Agent. It chains speech-to-text → LLM → text-to-speech, all running locally on your GPU via WebGPU. You can have a spoken conversation with an AI without a single network request. Currently supported models: - TTS: Kokoro 82M, SpeechT5, Piper (VITS) - STT: Whisper Tiny, Whisper Base Other features: - Side-by-side model comparison - Speed benchmarking on your hardware - Streaming generation for supported models Source: https://ift.tt/hB5p9ow (MIT) Feedback I'd especially like: 1. How does performance feel on your hardware? 2. What models should I add next? 3. Did the Voice Agent work for you? That's the most experimental part. Built on top of ONNX Runtime Web ( https://onnxruntime.ai ) and Transformers.js — huge thanks to those communities for making in-browser ML inference possible. https://ttslab.dev February 23, 2026 at 10:52PM

Show HN: Drowse – Nix dynamic derivations made easy https://ift.tt/EzSsnJ3

Show HN: Drowse – Nix dynamic derivations made easy https://ift.tt/DR0xN7y February 22, 2026 at 10:18PM

Show HN: I quit MyNetDiary after 3 years of popups and built a calorie tracker https://ift.tt/EYVg35N

Show HN: I quit MyNetDiary after 3 years of popups and built a calorie tracker After three years of hitting the same upgrade popup every time I opened MyNetDiary just to log lunch, I finally gave up searching for an alternative and built one myself. The whole thing is a single HTML file. No server, no account, no login, no cloud. Data lives on your device only. You open it in a browser, bookmark it, and it works — offline, forever. The feature I'm most proud of is real-time pacing: it knows your eating window, the current time, and how much you've consumed, and tells you whether you're actually on track — not just what your total is. Free trial, no signup required: calories.today/app.html Built this for myself after losing weight and just wanting to maintain without an app trying to sell me something every day. If that sounds familiar, give the trial a shot. https://calories.today/app.html February 22, 2026 at 11:41PM

Show HN: Blindspot – a userscript to block tab-switch detection https://ift.tt/XfMunP9

Show HN: Blindspot – a userscript to block tab-switch detection A Tampermonkey userscript that disables in-browser anti-cheat mechanisms (BlurSpy, honest-responder). https://ift.tt/ThleUYw February 21, 2026 at 09:04PM

Show HN: ClaudeUsage – macOS menu bar app to track your Claude Pro usage limits https://ift.tt/D65rhFX

Show HN: ClaudeUsage – macOS menu bar app to track your Claude Pro usage limits https://ift.tt/7qfutxe February 21, 2026 at 10:44PM

Show HN: Celeste game installs as ELF binary (42kB) on ESP32/breezybox [video] https://ift.tt/1NkwMPm

Show HN: Celeste game installs as ELF binary (42kB) on ESP32/breezybox [video] https://www.youtube.com/watch?v=nufOQWBmwpk February 21, 2026 at 12:26AM

Show HN: Flask Is My Go-To Web Framework https://ift.tt/ErlFe6V

Show HN: Flask Is My Go-To Web Framework https://ift.tt/eUgoJBS February 20, 2026 at 06:41PM

Show HN: Hi.new – DMs for agents (open-source) https://ift.tt/VquKM8i

Show HN: Hi.new – DMs for agents (open-source) https://www.hi.new/ February 20, 2026 at 04:20AM

Show HN: Astroworld – A universal N-body gravity engine in Python https://ift.tt/MJwrvFR

Show HN: Astroworld – A universal N-body gravity engine in Python I’ve been working on a modular N-body simulator in Python called Astroworld. It started as a Solar System visualizer, but I recently refactored it into a general-purpose engine that decouples physical laws from planetary data.Technical Highlights:Symplectic Integration: Uses a Velocity Verlet integrator to maintain long-term energy conservation ($\Delta E/E \approx 10^{-8}$ in stable systems).Agnostic Architecture: It can ingest any system via orbital elements (Keplerian) or state vectors. I've used it to validate the stability of ultra-compact systems like TRAPPIST-1 and long-period perturbations like the Planet 9 hypothesis.Validation: Includes 90+ physical tests, including Mercury’s relativistic precession using Schwarzschild metric corrections.The Planet 9 Experiment:I ran a 10k-year simulation to track the differential signal in the argument of perihelion ($\omega$) for TNOs like Sedna. The result ($\approx 0.002^{\circ}$) was a great sanity check for the engine’s precision, as this effect is secular and requires millions of years to fully manifest.The Stack:NumPy for vectorization, Matplotlib for 2D analysis, and Plotly for interactive 3D trajectories.I'm currently working on a real-time 3D rendering layer. I’d love to get feedback on the integrator’s stability for high-eccentricity orbits or suggestions on implementing more complex gravitational potentials. https://ift.tt/wOhUEuP February 20, 2026 at 02:57AM

Show HN: PostForge – A PostScript interpreter written in Python https://ift.tt/SqIHuaF

Show HN: PostForge – A PostScript interpreter written in Python Hi HN, I built a PostScript interpreter from scratch in Python. PostForge implements the full PostScript Level 2 specification — operators, graphics model, font system, save/restore VM, the works. It reads .ps and .eps files and outputs PNG, PDF, SVG, or renders to an interactive Qt window. Why build this? GhostScript is the only real game in town for PostScript interpretation, and it's a 35-year-old C codebase. I wanted something where you could actually read the code, step through execution, and understand what's happening. PostForge is modular and approachable — each operator category lives in its own file, the type system is clean, and there's an interactive prompt where you can poke at the interpreter state. Some technical highlights: - Full Level 2 compliance with selected Level 3 features - PDF output with Type 1 font reconstruction/subsetting and TrueType/CID embedding - ICC color management (sRGB, CMYK, Gray profiles via lcms2) - Optional Cython-compiled execution loop (15-40% speedup) - 2,500+ unit tests written in PostScript itself using a custom assertion framework - Interactive executive mode with live Qt display — useful for debugging PS programs What it's not: A GhostScript replacement for production/printer use. It's interpreted Python, so it's slower. But it handles complex real-world PostScript files well and the output quality is solid. I'd love feedback, especially from anyone who's worked with PostScript or built language interpreters. The architecture docs are at docs/developer/architecture-overview.md if you want to dig in. https://ift.tt/zuH4Rq2 February 19, 2026 at 11:21PM