WhatToTrust™
science-based supplement scoring platform
What it does
WhatToTrust™ is the first science-based supplement scoring platform, evaluating the science behind supplements, vitamins, functional beverages, and skincare—not certifications or marketing claims. Founded by Canomiks co-founders Leena Pradhan-Nabzdyk, PhD (Harvard Medical School), Manoj Bhasin, PhD (Emory University School of Medicine), and Frank W. LoGerfo, MD (Harvard Medical School), bringing deep scientific expertise to consumer wellness.
Empowering Your Wellness Product Buying Decision With Our Science-Based WhatToTrust™ Product Scores.
WhatToTrust TM scores are calculated based on the research, scientific methods, and key tests involved in the development, validation, and production of wellness products. When developing scientifically validated wellness products, it's essential to research each ingredient for its efficacy. For multi-ingredient formulations it's equally important to validate the entire formula for efficacy, ensuring the final product is both safe and effective. Not all companies conduct research on their own ingredients and formulations to ensure efficacy. Sometimes companies rely on borrowed research conducted by others on similar ingredients and products to support their claims. For well-established…from whattotrust.com
Does the same job
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Hi HN, I built Eigendrum, a web tool that solves the 2D wave equation for arbitrary shapes so you can hear what they sound like as drums. How it works: * Solves -∇²u = λu using finite element analysis (Kφ = λMφ) on a triangle mesh. * Validated to <0.1% error against closed-form solutions for circles (Bessel zeros) and rectangles. * Sound model factors in strike location, Rayleigh damping, and mallet width. * Includes Kac drums I & II to demonstrate identical sound spectra from different geometries. * No frameworks, build steps, or dependencies. Repo and tests:…
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Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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