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Generative media catalog with social interactions, search, and recommendations

Gal is an open-source generative media catalog that lets users browse, search, and interact with AI-generated videos and images. It uses LLMs (via Codex GPT-5.6) to build the full-stack application, including social features like likes and comments, personalized recommendations, and a search interface. The project aims to provide a YouTube-like experience for generative content.

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1 engagement·1 source·Sat, Jul 11, 2026, 05:04 AM
Built with the samsar-js library and Codex GPT-5.6 (Sol, Luna), the app was created entirely through hand-prompted code generation in about 50 prompts across 5 sessions. It includes a media gallery with social interactions (likes, comments), search, and personalized recommendations. The project is fully open-source under MIT license. No traction signals mentioned.

Entities

GitHub(company)Luna(model)Sol(model)samsar-js(tool)Codex GPT-5.6(model)

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