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SLOP State Layer for Observable Programs
A protocol for AI to observe and interact with app state
AI agents either parse screenshots (expensive, lossy) or make blind tool calls (no context). SLOP fixes this: apps expose a semantic state tree that AI subscribes to with incremental updates. Actions are contextual: they live on the nodes they affect and appear/disappear as state changes. Ships with a 13-doc spec, 14 SDK packages (TypeScript, Python, Rust, Go), React/Vue/Svelte/Solid/Angular adapters, Chrome extension, desktop app, and CLI. MIT licensed. State-first, not action-first.
About SLOP State Layer for Observable Programs on Product Hunt
“A protocol for AI to observe and interact with app state”
SLOP State Layer for Observable Programs was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #93 on the daily leaderboard. AI agents either parse screenshots (expensive, lossy) or make blind tool calls (no context). SLOP fixes this: apps expose a semantic state tree that AI subscribes to with incremental updates. Actions are contextual: they live on the nodes they affect and appear/disappear as state changes. Ships with a 13-doc spec, 14 SDK packages (TypeScript, Python, Rust, Go), React/Vue/Svelte/Solid/Angular adapters, Chrome extension, desktop app, and CLI. MIT licensed. State-first, not action-first.
Who hunted SLOP State Layer for Observable Programs?
SLOP State Layer for Observable Programs was hunted by Diego Carlino. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Diego Carlino