About ProfileClaw
Why we are building the career context layer for AI agents — and who is behind it.
Last updated: 2026-09-22
Our mission
AI agents are becoming real co-workers: they schedule interviews, draft applications, negotiate offers, and manage your professional relationships. But almost none of them know who you are.
ProfileClaw (职虾) closes that gap. We build a career context layer — one structured, consent-driven profile of your experience, skills, preferences, and constraints that any agent you approve can read. Instead of re-explaining yourself to every new tool, you maintain one source of truth, and your agents stay in sync with it.
What we believe
- You own your profile. Nothing is shared without your explicit consent, and every read by every agent is logged.
- Structure beats prose. A profile split into raw answers, dimension scores, and narrative summaries lets agents read exactly what was shared — and nothing more.
- Portability is non-negotiable. Your data is yours to export, correct, or delete at any time.
What we are building
- Assessments — structured evaluations that turn your experience into dimension scores agents can reason over.
- Integrations — connectors for the tools where your career already lives: Google Workspace, Notion, Slack, GitHub, Linear, and more.
- API & MCP — a REST API and an MCP server so any agent client can read your context with your permission.
Get in touch
We read everything. Reach us at hello@profileclaw.com for product questions, or trust@profileclaw.com for privacy and data requests.