Match Bear (matchbear.ai) is an AI job-market companion: conversational search that goes beyond keyword matching to surface roles aligned with your strengths, goals, and story - so you spend less time on listings that do not fit.
  • Designed AI orchestration pipelines that classify intent, gather context, trigger synchronous and asynchronous LLM/retrieval calls, and stream results over a single persistent connection via event-based messaging.
  • Built secure and seamless guest-to-user conversion: anonymous chat history and uploads persist into the registered account when a visitor signs up.
  • Created tmt-mcp, an open-source MCP orchestrator that drives coding and DevOps through GitHub Issues, raising release frequency 2.5× in its first week with zero bugs introduced.
  • Delivered a CMS with QA and annotation tools to review application flows, empowering non-technical team members to QA, annotate LLM responses, and monitor token usage per chat intents.
  • Supported team vibe-coders to turn prototypes into production-ready features.

Started: 2025-08-01

Launched/Lasted: 2026-06-01

Industries: Career Services, Recruiting, Artificial Intelligence, SaaS

Team: E.A.Taylor: Design, Front-End, Back-End, Business Development. Matt (Hawk) Knight: Business Developer & Expert Vibe Coder. Maria Denna: Product Development

Companies/Brands: Taylor Made Traffic, Match Bear