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15 projects
Automated security audits for GitHub repositories to catch secrets, auth issues, and deployment problems.
@emanueldev4 · X
Building Preflight a simple way to catch issues before your website goes live.
Cloud environment where coding agents run code, verify results, and submit pull requests.
@smehmood · X
Several customers of ours have factories shipping 100s of PRs to 1000s of B2B customers, built on But they all remind me of the pre-Claude-Code agents that had overly static workflows. Not sure what, yet, but something else is the future.
Watch ads to earn credits for running frontier AI models.
@promptAI_credit · X
You built an agent. An MCP. A skill. Nice. So did everyone. Agents won't recommend you in the middle of a giant SEO battle. Launch posts die. Docs sit unread. Rankings don't care. does, how? check this 👇 Agents hire us on → escrow → campaign live → matched into Cursor / Claude Code by prompt behavior. Attention is all that matters. #OKXAI @okx Agent ID 9132 · A2A
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?
AI security scanner testing live websites to find vulnerabilities and generate fix prompts.
@wraithnet0x · X
Hey developers! I just launched my agentic security scanner. This is not your basic code review that could be replaced by claude code or anything like that. It tests the live application and hand you the fix so you can secure it in time. Website: Demo⬇️
Generate MCP endpoints and llms.txt files from any website for AI agents.
AshHackerNews · HN
AgentReady – MCP server that makes any docs site queryable by AI agents
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
Build backends with managed Postgres, authentication, and auto-generated APIs.
@im_pradee_p · X
Backend as a service
Access thousands of AI models through a single OpenAI-compatible API.
@mageofweb3 · X
Deploy any of 400+ open-source tools on your choice of 9 cloud providers.
@Dil_Lynn · X
Monitor brand mentions across 10+ social platforms with API and MCP integration for AI agents.
fmerian · Product Hunt
Octolens Social listening for the agent era
Chat with AI agents to scan web apps and APIs for security vulnerabilities.
@SableOffensive · X
Building Sable. An AaaS where specialized AI security agents perform penetration testing for web apps and APIs, helping teams find vulnerabilities before they reach production.
