Skip to content
AI News HubLIVE
In-site rewrite2 min read

Show HN: Personal Biohacking Lab

Summary

SelfAssay is a platform that combines peer-reviewed studies, real-world reports, and a curated knowledge graph to provide evidence-based reasoning for biohackers, with cited sources and calibrated confidence.

SourceHacker News AIAuthor: ainthusiast
Show HN: Personal Biohacking Lab
Report an error

The correction channel is not available yet. You can copy the article reference below for later.

Correction instructions
Read article

Platform

One operating system for your whole stack.

From the weekly bench to fully-cited dossiers, every feature turns scattered protocols and bloodwork into grounded, cohort-backed signal.

Decision support, not medical adviceAnimations are simplified; real features are more comprehensive

Capability comparison: SelfAssay versus general AI, supplement databases, forums, and your clinician.

CapabilityGeneral AISupplement DBsForumsYour clinicianSelfAssay

Grades effectiveness and safety, per compoundPartialPartialNoNoYes

Real-world outcomes at scale, not just studiesNoNoPartialPartialYes

Reasons over your specific stackPartialNoNoPartialYes

Flags interactions across your whole combinationPartialPartialNoPartialYes

Measures whether it's working for you (n-of-1)NoNoNoPartialYes

Every claim cited, or it refuses when thinNoPartialNoPartialYes

Calibrated confidence, not false certaintyNoPartialNoYesYes

Private, member-owned data (export & delete)NoNoNoPartialYes

Each is good at what it’s for. SelfAssay is the only one built to reason over your whole stack with cited evidence, and refuse when it can’t.

Provenance you can see

Truth is in the provenance.

Real-world reports, peer-reviewed literature and a curated knowledge graph, plus clinical trials, pharmacokinetics, adverse-event and FDA-label signals. Every answer is traceable to its source, with its method and sample size shown.

SelfAssay

Peer-reviewed

studies

114K+

Real-world

reports

181K+

Knowledge graph

relations

186K+

Evidence routed to one answer

SelfAssay

Peer-reviewed

114K+

studies

Real-world

181K+

reports

Knowledge graph

186K+

relations

Biomarkers

Pharmacokinetics

Bioactivity

Adverse events

FDA labels

Clinical trials

181K+

Classified user reports

114K+

Peer-reviewed studies

186K+

Knowledge-graph relations

450+

Compounds graded

01

Triangulated, not single-source

Every signal is cross-checked across classified real-world cohorts, peer-reviewed literature, and the curated knowledge graph; agreement and conflict are both surfaced.

You see corroboration, not just citation.

02

Every claim carries its receipts

Source, method and sample size shown inline. No naked assertions. If it’s stated, you can trace where it came from.

Follow the trail from claim to original data.

03

Confidence is calibrated

Strength of evidence is graded; weak signals are labelled weak. Precision is never overstated to sound more certain than the data allows.

You get the truth, with its uncertainty.

04

“Not enough data” is a valid answer

When grounding fails, SelfAssay says so plainly, and names what evidence would change the answer. It never fills the gap with a guess.

Better to be clear about limits than confidently wrong.

Key points and analysis

Article intelligence

ResearchersAdvanced

Key points

  • Aggregates over 114K studies and 181K reports with traceable citations
  • Cross-validates signals across multiple sources to show corroboration or conflict
  • Calibrates confidence levels, labeling weak signals as such
  • Transparently states when data is insufficient and what evidence would change the answer

Highlights and analysis are generated automatically and may contain errors. Check the original source.