Built for people who take their skin seriously
I kept a cabinet full of products I couldn't evaluate. Every recommendation I read was generic — it had nothing to do with how my skin actually responded. SkinAtlas started as a personal spreadsheet, turned into a side project, and is now something I actually use every day.
Why SkinAtlas exists
Most skincare tools tell you about a product in isolation. They'll decode an ingredient list, or flag a potentially irritating compound, but they stop there. They don't know what else is in your routine, or how your skin actually responded when you added that product three weeks ago. SkinAtlas tries to close that loop — connecting what you use, what's in it, and how your skin does over time, so you can learn what works for your skin specifically, not for skin in general.
How it works
Add the products you use and SkinAtlas decodes their ingredients against a hand-curated knowledge base: what each ingredient does, what it pairs well with, what it conflicts with. Log your skin daily (takes about ten seconds), and over time the correlation engine starts finding patterns: your rating tends to improve when you use X, and dip when Y shows up in your routine. The AI Copilot can answer questions about your actual products and history — not generic skincare advice, but answers grounded in your own data.
What's coming
The correlation engine is live but the insights surface is still early. A photo-based skin observation tool is in the works — it'll describe visible traits like texture, hydration level, and congestion from a close-up photo, without making any medical claims. A Pro tier is planned that will unlock deeper insights and unlimited AI Copilot access. There's no launch date yet. If you want to know when it ships, the best place to hear about it is the What's New page or the contact form.
Who's behind it
SkinAtlas is a solo project built and maintained by Rika Lim. It's not backed by a brand, a supplement company, or an affiliate program. The ingredient knowledge base is curated from published research — no sponsored ingredients, no paid placements. If something is flagged as a risk, it's because the literature says so, not because a competitor paid for visibility.