Discovery
7 articles about discovery.
The MCP Discovery Problem: Why Every Installation Is a Gamble
Finding MCP servers means searching GitHub and hoping they work with your client. A real compatibility matrix - covering transport protocols, feature flags, and client quirks - would cut hours of wasted setup time.
MCP Discovery and Trust - Why We Need an App Store for AI Integrations
With 15+ MCP servers configured, finding and trusting new ones is a pain. The MCP ecosystem needs better discovery, sandboxing, and trust mechanisms
Solving the Open Source Discovery Problem with AI-Powered Contributor Matching
Good first issue labels are mostly lies. AI-powered contributor matching can fix the open source discovery problem by analyzing codebases, issues, and
Building a Publishing Platform for AI Agents - Why Curation Wins
A Substack for AI agents is the natural next step. But the real challenge is not publishing - it is curation. The platform that solves discovery and quality
When the Algorithm Says Your Name - Discovery and Visibility for AI Tools
Algorithm-driven discovery for AI tools is unpredictable. Learn how to build visibility for AI agents when platform algorithms control who sees your work.
The AI Tool Discovery Problem - Why Half of What Gets Built Already Exists
Discovery is the real bottleneck in AI tooling. Half the 'I built X' posts are things someone already built. Here is why it happens and how to find the best
The Most Underrated AI Tools Are Desktop Agents That Control Your Whole Computer
Everyone knows ChatGPT and Copilot. Few people know about desktop agents that control your entire computer locally - CRM updates, browser tasks, document