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Lumona replaces the Reddit-Google-YouTube loop with a single query – describe your skin concern, get pre-filtered product results that actually match.
ENTRY ANGLES
Category-specific product search engines (starting with skincare, expanding to other verticals) · Specialized ingredient/product databases for each vertical · Vertical-targeted marketing campaigns with better ROI than broad approaches
VERTICALS
CAPABILITIES
Building vertical-specific data infrastructure and ingredient databases, Product search and aggregation technology, Vertical-targeted marketing and customer acquisition
Lumona is a search engine for skincare products – find exactly what you need by describing your skin concern, and the results come pre-filtered by relevance.
The idea was born from the founder's teenage struggle with acne. Finding the right cleanser or treatment was a project in itself: search Google, then cross-reference Reddit threads, then watch YouTube reviews, then start over. Every wrong purchase made things worse.
Lumona cuts through that loop. Enter a query – say, "moisturizer for oily skin with redness" – and it surfaces products with links to relevant YouTube reviews and Reddit discussions, already ranked by mention frequency across those sources.
Depending on the query, Lumona also suggests key ingredients to watch for. Searching for an anti-aging face cream? It'll flag retinol, peptides, hyaluronic acid, and vitamin C – and offer to run sub-searches for products containing each.
Click any product and the ingredient list is there, categorized by impact: beneficial, potentially irritating, clearly harmful, or neutral. It's the kind of context a knowledgeable friend would give you before you bought something.
Right now, Lumona monetizes through Amazon affiliate links. If a user clicks through and buys, Lumona takes a commission.
Lumona is currently in Y Combinator, which comes with the standard $500K investment. The search engine launched two weeks ago.
Vetted – [covered previously](/review/bolshaja-problema-bolshogo-vybora) in 2022 – is building a similar product-search concept across all categories, though it has since pivoted from web search to a browser extension and mobile app. It raised $14M.
Brandefy ([covered here](/review/kupit-za-80-ili-za-8) in 2023) tackled the same skincare discovery problem from a different angle – finding cheaper dupes for expensive products. It built both a search engine and a community of deal-hunters, raised $3.7M, and has since shifted focus toward launching its own private-label line. The search engine and community now serve as tools for spotting market gaps and driving awareness for the brand's own products.
Descriptions and reviews help, but nothing beats trying something first. Samplico ([covered here](/review/chtoby-kupit-nuzhno-poprobovat)) – the international version of Turkish startup Denebunu – lets users receive free product samples, raising $1.8M for its global expansion. Smytten ([covered here](/review/poprobuj-chtoby-kupit-chtoby-poprobovat-eshhjo)), an Indian sample marketplace with $21.9M raised (mostly after its initial coverage), takes a similar approach: try it, buy what you liked.
All of these startups exist because of the same underlying shift: an explosion of private-label brands has made product discovery genuinely hard. The same commodity ingredient base shows up under dozens of brand names at wildly different price points, each with slightly different formulations that matter to some buyers and not others.
Younger consumers are navigating this more actively – they're twice as likely to try new brands as those over 44, who still skew toward familiar names (about 32% of that demographic). As the discovery-native generation grows its purchasing power, tools that help find the right product will only become more valuable.
Lumona made an interesting choice by going narrow. Unlike Vetted's everything-store approach, Lumona focuses exclusively on skincare – and that focus is a strategic asset. Someone searching for a retinol serum will trust a skincare-specific engine more than a general product aggregator, for the same reason people with a specific problem prefer a specialist over a generalist. And staying in one category lets Lumona build genuinely specialized infrastructure – like the ingredient database it already maintains – that a universal search engine could never justify investing in per vertical.
This points to an interesting model for online scalability that's often overlooked. Physical businesses scale by replication – find a format that works, open more locations, improve operations across all of them as you go. Online businesses often try to scale by pouring more money into the same channel until it stops working.
But Lumona suggests a different path: build a platform that churns out niche search engines across product categories. The core technology is the same each time; what changes is the category-specific data layer that gives each vertical its edge over general-purpose search.
The marketing logic is equally compelling: tight vertical targeting delivers far better ROI on acquisition spend than broad campaigns.
The opportunity: a startup whose explicit goal is to launch not one but dozens of category-specific product search engines. Each vertical is modest on its own; together, they add up to something substantial. And as the engine count grows, fixed costs spread thinner while each new launch benefits from accumulated operational muscle.