DropTrack is a music promotion platform that helps independent artists, labels, managers, DJs, playlist curators, blogs, radio contacts, and fans discover and engage with new releases. The platform supports targeted submissions, email campaigns, Spotify playlist placement, AI-generated press materials, and analytics for tracking who opened, played, downloaded, commented, or returned to a track. Artists can use DropTrack’s Music Analyzer to evaluate readiness, mood, genre, similar artists, and next steps before investing in promotion. DropTrack also helps users create album art, press releases, bios, track versions, and timestamped comments to prepare a more professional release. Labels and managers can manage multiple artists, run unlimited campaigns, use genre-based contact lists, and measure engagement across releases. Built for music promotion workflows, DropTrack helps artists and music teams get tracks ready, reach the right industry contacts, and follow up based on real listener behavior.
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Muzaic: AI Music Architect for Professional Video
Stop fighting with stock music. Creators often spend 10 minutes editing and 40 minutes hunting for tracks that don't fit. Muzaic is a professional web tool for agencies and serial creators that generates custom soundtracks in seconds. Our AI analyzes your video’s vibe and tempo to match the emotion perfectly.
Try for Free: Generate unlimited tracks to find the perfect sound. Includes 3 free AI video analyses to get you started.
Match-First Pricing:
- One Soundtrack ($2): 1 professional track integrated with your video + 3 additional AI analyses.
- Creator ($19/mo): Unlimited downloads and unlimited AI analyses. Built for high-scale production and agencies.
Key Features:
Pro Quality: 192kbps audio that sounds like a studio production.
Commercial Freedom: 100% royalty-free for ads, YouTube, and clients.
Serial Workflow: Maintain style consistency across video series.
Stop searching. Start creating
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Happy Shrimp 1.0
Happy Shrimp 1.0 is an AI music generation model designed to turn vague ideas into fully produced songs from a single prompt. Users can start with an emotion, story concept, target genre, or creative direction, without needing technical music knowledge such as BPM, key signature, or instrumentation. The model supports text-to-music generation for complete vocal songs and instrumental compositions, producing melody, arrangement, lyrics, and vocals from scratch or using lyrics supplied by the user. Built with broad musical knowledge, it understands creative aesthetics across genres, regions, eras, and cultural contexts, translating descriptive prompts into structured musical outputs. It performs across styles including Chinese music, pop, R&B and soul, hip hop, rock, funk, electronic, classical, and jazz. Using world knowledge and music-domain reasoning, the model represents both the “grammar” of music.
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