Mental Health x AI
分享你所知，找到你所需。
A professional discovery and matching platform for Mental Health x AI. Share signals through knowledge, work, papers, questions, and comments so XinFora can recommend relevant people and consent-based introductions.
Not a therapy, diagnosis, crisis, or clinical consultation service.
Core Loop
Register
First-party email/password account, no social login required.
Describe identity and goals
Roles, skills, interests, languages, region, and collaboration goals.
Browse signals
The feed is a learning curve, not a public chat room.
Share insight/work/paper/question
Sharing is the main growth behavior and visibility signal.
Improve recommendations
Clicks, saves, comments, and shares increase match quality.
Request consent-based intro
Contact details stay private until the recipient consents.
Content policy
Public sources only
news, papers, repos, and work records link to sources
Storage mode
Postgres or file
DATABASE_URL first, JSON file fallback locally
Access model
Global + Hong Kong
deployment-portable app config
Clinical boundary
Not clinical care
no therapy, diagnosis, treatment, or crisis service
Safety note: XinFora AI is a professional knowledge-sharing and collaboration platform. It does not provide therapy, diagnosis, medical advice, treatment, clinical consultation, crisis counseling, or emergency services.
Content Signals
OpenAI described ongoing mental-health-related safety work, including well-being governance, family protections, and a planned trusted contact feature.
Useful for tracking how large AI platforms are framing mental-health safety boundaries.
Sword Health introduced MindGuard, a family of safety classifiers and evaluation assets for mental-health AI conversations, with explicit research and human-oversight limitations.
A close public example of safety infrastructure rather than a therapy product.
Recommended People
Clinician / Digital Psychiatry Researcher · United States · Boston
Publicly listed researcher connected to digital psychiatry and mental-health AI evaluation work. This is not an onboarded XinFora user account.
Why this match
Public author/source record relevant to clinical safety benchmarking and digital psychiatry.
Clinical safety benchmarking researcher · United States · Boston
Public source record for reproducible clinical safety benchmarking work. This is not an onboarded XinFora user account.
Why this match
Public paper and GitHub repository are directly aligned with reproducible mental-health LLM safety evaluation.
Role, skills, interests, language, region, shares, comments, saves, and intro outcomes.
Better visibility, better recommendations, and lower friction for relevant intro requests.
No direct contact exposure. The recipient chooses accept, decline, or more context.
No automatic professional verification badge and no clinical claims without human review.