Familiar Player vs ThermVoltSilicon

Familiar is a self-hosted music player that understands the sound of your music, not just its metadata. Ask for "something that sounds like rain on a window" and it actually works. Point Familiar at your own home server (macOS Docker, Linux, Synology, OpenMediaVault — whatever you run). Nothing leaves your network. No cloud accounts, no subscriptions, no tracking. • AI chat and playlist creation — Powered by the Claude API using your own key. Describe a mood, a setting, a vibe; Familiar pulls from your library. • Semantic audio search — CLAP embeddings let you match by how music sounds, not just artist or genre. • Deep feature analysis — BPM, key, energy, brightness, danceability, valence, instrumentalness, and more, extracted on your server. • Ambient mode — continuous drone plus ghostly snippets from your library, tuned to the current key. • Community analysis cache — opt in to share anonymized audio fingerprints so others skip hours of analysis, and benefit from theirs. • Smart playlists — rules-based playlists that update automatically as your library changes. • Offline playback, lock-screen controls, synced lyrics (LRCLIB), Last.fm scrobbling. • Works with FLAC, ALAC, MP3, AAC, Ogg, Opus. Familiar is open-source (MIT) and requires you to run your own backend. Setup guides for Docker, macOS, and common NAS platforms are on GitHub.

ThermVoltSilicon is a precise digital recreation of classic silicon diode-based overdrive circuits. It delivers the tighter, brighter, and more articulate character typical of silicon clipping stages, while faithfully modeling analog imperfections such as power supply sag, battery voltage variation, and temperature-dependent diode behavior. Built with the MIT-licensed Patina DSP engine, this AUv3 plugin combines circuit-accurate modeling with modern features for both vintage tone enthusiasts and contemporary producers. FEATURES • Silicon diode clipping with realistic forward voltage and temperature response • Authentic power supply sag and voltage variation (9V / 18V modeling) • Temperature control (15–75°C) affecting diode behavior • Inst / Line input modes with appropriate impedance and gain staging • Switchable Boost stage (+20dB) • Variable high-pass filter • Classic analog-style tone control • 2x / 4x high-quality oversampling • Very low CPU usage, optimized for iOS • AUv3 support with smooth parameter automation SUITABLE FOR • Electric guitar (tight crunch to singing lead) • Bass guitar • Synthesizers & drum machines • Keyboards • Vocals & parallel saturation • Lo-fi, indie, rock, and modern production COMPATIBILITY • AUv3 Plugin • iPhone & iPad (iOS 15+) • AUv3 hosts.