Stochi
Supplement tracking with interaction warnings and pharmacokinetic modeling
Biohackers and health-conscious individuals often take multiple supplements without understanding potential interactions, timing conflicts, or dangerous dosage combinations. Existing resources require manual cross-referencing across fragmented medical databases, leaving users unaware of risks like zinc-induced copper deficiency or iron absorption competition.
The platform required modeling complex pharmacokinetic behaviors including saturable absorption (Michaelis-Menten kinetics) for supplements like Vitamin C and Magnesium. Additionally, the system needed to provide instant search without server round-trips while maintaining a comprehensive knowledge base backed by actual research.
Stochi combines a Go microservice for sub-millisecond pharmacokinetic calculations with a Next.js frontend featuring client-side semantic search using quantized LLMs in Web Workers. The RAG pipeline surfaces research-backed answers while deterministic safety guardrails enforce FDA limits on toxic supplements regardless of AI suggestions.
Pharmacokinetic Modeling Engine
1,000+ supplements · sub-ms calculationsBuilt a Go microservice performing sub-millisecond calculations for 1,000+ supplements. Most follow exponential decay, but supplements like Vitamin C and Magnesium saturate at high doses, requiring Michaelis-Menten equations solved analytically using the Lambert W function.
Client-Side AI Search
90% queries offline · 23MB modelImplemented zero-latency search using quantized LLMs (Transformers.js) running entirely in Web Workers. This eliminates server costs for 90% of queries while enabling offline PWA support with the all-MiniLM-L6-v2 model (~23MB).
RAG Research Pipeline
1536-dim embeddings · cited answersBuilt a retrieval-augmented generation system using Llama to rewrite medical queries, search relevant research chunks from scraped Examine.com data stored in pgvector, and generate answers backed by actual citations with automatic safety guardrails.
Deterministic Safety Layer
FDA-compliant · hard safety limitsEnforced toxicological safety across all supplements with hard-coded FDA limits (Zinc 40mg, Iron 45mg, Vitamin D 10,000 IU) that bound all AI-generated suggestions. Soft limits trigger warnings for low-risk supplements while hard limits cannot be overridden.