ConvertCalm
Convert, compress, and export media, 100% offline
What it does
ConvertCalm is a native macOS media studio for images, video, and audio. Batch-convert PNG, WebP, HEIC, and AVIF with up to 90% compression, hardware-accelerate video conversion, trim clips, generate GIFs, and extract or mute audio. One-click presets for Instagram Reels, TikTok, YouTube, and Twitter. Built for creators who want speed without the cloud: everything runs 100% offline, and EXIF/metadata is stripped automatically. One-time purchase, no subscriptions.
ConvertCalm is a 100% native macOS media studio. Batch convert images (PNG, WebP, HEIC, AVIF) and now video & audio (MP4, MOV, MKV, WebM, M4A) with hardware-accelerated, local-first privacy.
Lightning-fast, local-first conversion for macOS. Batch process images (PNG, WebP, HEIC, AVIF) and now video & audio (MP4, MOV, MKV, WebM, M4A) with hardware acceleration, saving up to 90% space with zero quality loss. Conversión ultra-rápida y 100% local para macOS. Procesa por lotes imágenes (PNG, WebP, HEIC, AVIF) y ahora video y audio (MP4, MOV, MKV, WebM, M4A) con aceleración por hardware, ahorrando hasta 90% de espacio sin pérdida de calidad. Hardware-accelerated conversion, trimming, and audio tools, built right into ConvertCalm. Conversión, recorte y herramientas de audio con aceleración por hardware, integradas directamente en ConvertCalm. Leverage native Apple Silicon (M1–M4) and…from damilantech.com
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Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com