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7 projects
Generate MCP endpoints and llms.txt files to make any website queryable by AI agents.
AshHackerNews · HN
AgentReady – MCP server that makes any docs site queryable by AI agents
Inspect AI reasoning traces and evaluate model groundedness in your AI systems.
malik_dixon1 · Product Hunt
TraceLogicAI: AI Architecture Evaluation Compare AI architectures with evidence, not guesswork
AI generates branded proposals, invoices, and professional documents as PDFs in 60 seconds.
@AadyaAI · X
Aadya AI turns a client conversation into a branded, ready-to-send proposal or invoice PDF in 60 seconds — no templates, no formatting, no chasing.
Give AI agents a structured way to request human approval with safe retries and verification.
@GetAgentHail · X
AgentHail — a control layer for AI agents to request approval, execute work, and return verifiable results. Would you sign up or leave?
Turn event handshakes into closed deals. Scan business cards, capture leads & automate follow-ups after events, meetings, and networking sessions.
@Joyerz5 · X
Create AI employees to handle chats, phone calls, emails, and lead booking from your website.
@Nathaniel148600 · X
BuildAI — Create an AI employee from your website in under a minute. And deploy it as a Widget, API, or AI phone agent.
Backend-as-a-service with MCP server, REST APIs, and row-level security for AI apps.
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation
