SupplementFaqs
AI-Powered Supplement Analysis
What it does
Get expert-level analysis of any supplement with a simple URL. Understand ingredients, benefits, and potential concerns to make the best choice for your health.
Does a similar job
all alternatives →- IVI've been using AI to analyze every supplement on the marketJan 2026 · pillser.com · ▲94
Hey HN! This has been my project for a few years now. I recently brought it back to life after taking a pause to focus on my studies. My goal with this project is to separate fluff from science when shopping for supplements. I am doing this in 3 steps: 1.) I index every supplement on the market (extract each ingredient, normalize by quantity) 2.) I index every research paper on supplementation (rank every claim by effect type and effect size) 3.) I link data between supplements and research papers Earlier last year, I took pause on a project because I've ran into a few issues: Legal: Shady…
SupplementsAIJun 2026 · supplements-ai.vercel.app · ▲3Evidence-based supplement advice from real PubMed studies
- STSupplementDEX – The Evidence-Based Supplement DatabaseMar 2026 · supplementdex.com · ▲17
Hi this is a work in progress but it works to determine supplement efficacy for 500 conditions at the moment. Things you can do: - search for a condition -> find which supplements are effective -> see which studies indicate they are effective -> read individual study summaries - search for a supplement -> see effectiveness table, dosing, safety, dietary sources, mechanisms of action (+ browse all original sources) let me know what you think
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Launched alongside, April 2025
the whole month →- IB
Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…
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