llm-kb
← Back to products
Productlaunched

Searchable registry of 10k+ shadcn UI blocks for AI agents

A searchable directory that indexes over 10,000 shadcn UI blocks from dozens of community registries. It solves the problem of developers wasting time digging through scattered registries or burning tokens to generate UI components from scratch. The platform likely uses LLMs to power search or agent integration, enabling AI agents to fetch UI blocks on demand.

Visit project ↗
3 engagement·2 sources·Mon, Jul 13, 2026, 07:00 AM
The product aggregates shadcn UI blocks from multiple community registries into a single searchable interface. It addresses the fragmentation of the shadcn ecosystem, where blocks are spread across dozens of sites with poor SEO. Developers can find specific blocks without manual digging, and AI agents can programmatically retrieve blocks to assemble UIs. Tech stack: likely built with shadcn itself, possibly using a vector database for search. Traction: posted on Reddit with low engagement (1 upvote).

Entities

shadcn(tool)shoogle.dev(company)

Related

Product

Fudge: web-design reference database for AI agents

Fudge is a web-design reference database that lets AI agents search over 1,600+ websites for design inspiration instead of generating generic interfaces from scratch. It solves the problem of AI producing bland, template-like designs by providing real-world references.

2 engagement·1 source·reddit
Mon, Jul 13, 2026, 07:28 AM
Product

MCP server feeding live design tokens from real products to LLM agents

An MCP server that provides structured design tokens (colors, typography, spacing, etc.) extracted from live DOM of real products like Linear and Supabase. LLM code agents use these tokens via MCP to generate UI that matches a specific product's design system, avoiding generic outputs. Solves the problem of agents producing bland, average UI by giving them concrete design references.

3 engagement·1 source·reddit
Sat, Jul 11, 2026, 04:52 PM
Product

AI agent that monitors online signals to surface early-stage ideas and trends

An AI agent that continuously monitors online platforms (e.g., Reddit, Twitter, product hunt) for early signals of emerging ideas, tools, or trends. It uses LLMs to analyze posts, comments, and engagement patterns to identify concepts that are gaining traction before they become mainstream. The product helps entrepreneurs, investors, and creators spot opportunities early.

3 engagement·1 source·reddit
Mon, Jul 13, 2026, 06:40 AM
Product

Collaborative context-sharing memory platform for AI agents and teams

A platform that enables AI agents and human teams to share and persist context across sessions. It uses LLMs to manage memory, allowing agents to recall past interactions and collaborate on tasks. Solves the problem of fragmented context in multi-agent systems and team workflows.

2 engagement·1 source·hackernews
Sun, Jul 12, 2026, 10:28 PM
Product

Self-updating wiki from uploaded files

Almanac is a tool that automatically creates and updates a wiki from user-uploaded source files. It uses LLMs to organize and summarize the content, making it easy for individuals or teams to maintain a shared knowledge base. The product is designed to be agent-native, allowing interaction through AI assistants like CC or Codex.

2 engagement·1 source·hackernews
Sun, Jul 12, 2026, 09:45 PM