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Show HN: I've been using AI to analyze every supplement on the market

https://pillser.com/
9•lilouartz•6h ago
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 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

Comments

wordglyph•3h ago
This is fantastic! I've been doing this manually for years. My main focus is always what does the research show about xyz supplement on gut bacteria.
lilouartz•1h ago
I would love to get your feedback on what data to prioritize and how to make it easier to browse.

I've learned from my last sprint that this project can get overwhelming. So now I am making it my priority to build a community of people I can reach out to for feedback and direction. If supplements is your thing, I would greatly appreciate being able to chat with you from time to time (even if it just a quick email!)

I am at lilouartz@gmail.com

autoexec•1h ago
This seems more like cataloguing than analyzing

I'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.

lilouartz•1h ago
That's my dream!

That's where I want to take this project.

At the moment, my focus is on what I can do by aggregating and analyzing the available data. Extracting ingredients, normalizing them, normalizing quantities across every supplement, etc. This has already proven to be a lot bigger undertaking than I could have imagined at the beginning of this journey. I had learn a lot about databases, scraping, LLMs, and evals. But it has been a tremendously fun (if sometimes overwhelming) journey.

First, I need to figure out how to monetize what I've built so far. And maybe I cannot, in which case I will start over. But I am trying to find my niche that people uniquely value. So far I found that there are is a pull from people chasing deals (e.g. finding products containing specific ingredients with the highest price per mcg) and people seeking for niche ingredients. This is not exactly the target audience I had in mind when building this, but I am glad they are finding value.

Evolving into performing actual lab tests and producing our own high-quality supplements is my dream.

gavinray•44m ago
Unfortunately, none of these data are usable because (in the US, at least) there is no oversight on labeling accuracy for nutritional supplements.

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...

lilouartz•21m ago
That's true. US is a wild wild west in that regard. However, I am working next to clearly label which supplements have COA vs which are unverified.

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