Health & Social Network
- Profiles, follows, posts and blogs
- Questions, answers and discussions
- Topic communities and groups
- Challenges and progress sharing
- Events and expert content
Preview · Research & infrastructure stage
A global network for better human health, capability and longevity.
An AI-powered social and scientific collaboration platform connecting people, knowledge, data and researchers to accelerate responsible innovation in human healthspan, medicine, biotechnology and the science of longevity.
The idea
People join to improve themselves. Researchers join to move science forward.
Healthspan Network connects a broad consumer health community with serious scientific collaboration. Fitness, nutrition, skin and brain health bring people in; knowledge, evidence and research workspaces take them deeper.
Scientific & Research Network
- Researcher and expert profiles
- Private, team and public workspaces
- Literature, datasets and hypotheses
- Knowledge graph and AI research assistants
- Researcher matching and research challenges
Follow the build
Code, models and datasets for the project are shared in the open as they take shape.
Scope
Broad entry points, deep science.
- Longevity & healthspan
- Fitness & strength
- Nutrition & routines
- Skin & appearance
- Brain & cognition
- Medicine & healthcare
- Biotechnology
- Genome engineering
- AI for science
Eight pillars
What the platform does
Connect
Find people, communities, experts and teams.
Learn
Understand health and science at the right level.
Improve
Build evidence-informed healthy routines and capabilities.
Share
Publish experiences, ideas, questions and knowledge.
Research
Create and collaborate on structured research projects.
Discover
Find evidence, gaps, datasets and opportunities.
Create
Turn ideas into projects and collaborations.
Accelerate
Use AI to organize, analyze and connect knowledge.
North-star loop
Social activity is the top of the research funnel.
- Question
- Discussion
- Evidence
- Knowledge
- Hypothesis
- Collaboration
- Research
- Result
- New Knowledge
…and back to the next question, with better AI each time around.
Trust layer
Not all claims are equal, so the product says so.
Every scientific item carries its evidence type, provenance and uncertainty.
- Peer-reviewed research
- Clinical evidence
- Human observational
- Animal / cell evidence
- Computational prediction
- Expert opinion
- Community hypothesis
- AI-generated hypothesis
Experience is not evidence
What people experience, what science supports, and what researchers hypothesize are always kept visibly separate.
Trust and privacy first
Consent, permissions, provenance and auditability are core product features, not afterthoughts.
AI that explains
AI is grounded in citations, clearly labeled and honest about uncertainty. Humans stay responsible for scientific judgment.
Not a doctor
Not a medical replacement, not an autonomous doctor, and not an "immortality" service.
Built by
David Chan
Founder & Product Builder · Singapore. Researching the idea and building the project infrastructure.
More about me →