Show HN: I've been using AI to analyze every supplement on the market (pillser.com)
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 companies are sending C&Ds letters demanding their products are taken down from the website. It is not something I had the mental capacity to respond to while also going through my studies. Not coincidentally, these are usually brands with big marketing budgets and poor ingredients to price ratio.
Technical: I started this project when the first LLMs came out. I've built extensive internal evals to understand how LLMs are performing. The hallucinations at the time were simply too frequent to passthrough this data to visitors. However, I recently re-ran my evals with Opus 4.5 and was very impressed. I am running out of scenarios that I can think/find where LLMs are bad at interpreting data.
Business: I still haven't figured out how to monetize it or even who the target customer is.
Despite these challenges, I decided to restart my journey.
My mission is to bring transparency (science and price) to the supplement market. My goal is NOT to increase the use of supplements, but rather to help consumers make informed decisions. Often times, supplementation is not necessary or there are natural ways to supplement (that's my focus this quarter – better education about natural supplementation).
Some things that are helping my cause – Bryan Johnson's journey has drawn a lot more attention to healthy supplementation (blueprint). Thanks to Bryan's efforts, I had so many people in recent months reach out to ask about the state of the project – interest I've not had before.
I am excited to restart this journey and to share it with HN. Your comments on how to approach this would be massively appreciated.
Some key areas of the website:
* Example of navigating supplements by ingredient https://pillser.com/search?q=%22Vitamin+D%22&s=jho4espsuc
* Example of research paper analyzed using AI https://pillser.com/research-papers/effect-of-lactobacillus-...
* Example of looking for very specific strains or ingredients https://pillser.com/probiotics/bifidobacterium-bifidum
* Example of navigating research by health-outcomes https://pillser.com/health-outcomes/improved-intestinal-barr...
* Example of product listing https://pillser.com/supplements/pb-8-probiotic-663
25 comments
[ 3.0 ms ] story [ 55.2 ms ] threadI'd love to see a project that actually analyzes every supplement on the market to make sure it actually contains what it claims to, contains it at the listed dosage, and to show anything else found (heavy metals for example). That's not something AI can do for us though since it'd involve physically collecting and testing samples.
That means I can dump woodchips into capsules and sell them as Multivitamins with 12 vitamins & minerals, and nobody would be the wiser.
There is more rigorous testing being done in underground steroid + peptide communities than in legal nutritional supplements.
Crazy world where you can trust vialed peptides from China more than something you bought on Amazon...
Costco (https://www.costco.com/p/-/kirkland-signature-extra-strength...) sells Vitamin D at less than half that price. On Amazon, the two pack of those is even cheaper.
Just an observation.
It's nice to see an AI-centric Show HN product that uses proper evals and cares about data quality.
How did you build your initial data set that you're using for the evals? Bootstrapping a high quality data set is one of the hardest parts of really knowing how an AI product is performing.
That's surprising because it seems like you just have a review site? What's the issue? Or is it just bs threats?
2. I tried using that site and immediately saw problems and broken behavior. The "Ask AI" feature (sounds pretty key?) literally did nothing. and doing a search for say aspirin yielded results that... had no aspirin! no brainer to bail out fast
Cripes.
Thank you for sharing the example that you've found!
Have a look at https://examine.com as the closest site I can think of in this space, and check out their revenue models.
Well done!
I think it will be nice if there is a summary of that somewhere on the website. It was the first thing I was looking for.