Lumona is an AI-enabled search engine featuring perspectives from social media to help you understand your search results. When you’re looking to buy a new phone, instead of Googling iPhone 15 reviews and opening multiple reddit threads, blog reviews, and YouTube videos to know if you want to buy it, you can search once on Lumona to get all of that info on one page.
Dylan is the co-founder and CEO of Lumona. He is from Ventura, CA and studied computer science and engineering at MIT. He gained insights into how systems and APIs at scale work with experience at Google and Stripe. Not having exposure to traditional avenues of applying to elite colleges, he relied on Reddit and Google to learn about how to maximize his chances of being admitted. Since then, he's been focused on enabling everyone to pursue their goals and equalize the playing field.
Qiong is the Co-Founder and CTO of Lumona. He previously studied Computer Science at MIT, where he conducted Machine Learning research at the McGovern Institute of Brain and Cognitive Science. He was also co-president of MIT web.lab, a group that teaches web development to hundreds of MIT students over the winter semester. Qiong has extensive experience building products that prioritize user experience, working at startups in diverse areas including computer vision, remote work, and edtech.
Lumona simplifies your product research by serving Reddit and YouTube reviews directly alongside products.
Join our Discord to chat with us or reach out to us via email (founders@lumona.ai), through the feedback button (top-left), Twitter, or YouTube.
I’m Dylan (center), co-founder and CEO of Lumona, a product search engine that brings you high-quality recommendations from the creators you trust. Instead of wading through pages of clickbait Google results or adding ‘reddit’ to your search, we deliver you products you’d otherwise spend hours researching for by compiling Reddit and YouTube reviews about the product.
I’m working on Lumona alongside two fellow MIT Class of 2024s, Philena Liu (left), our CPO, and Qiong Zhou Huang (right), our CTO. We have been working together since meeting during our sophomore year at MIT, recently winning HackMIT this past September. As part of MIT’s student-run Web Lab class, we taught over 300 students modern web development. As Gen-Zers ourselves, we’ve grown up being influenced by the content creators we watch every day and buying products online. We’ve spent hours combing over r/SkincareAddiction posts and watching YouTube videos to get to the skincare routines we have right now, and that’s where we want to help.
Product research takes time. As a teenager, I had acne that was painful and affected my self-esteem, and to solve this problem I was willing to spend hours looking for the right product because if I was wrong I would break out for weeks and make it worse. Before Lumona, I would’ve had to do this:
Let’s look at that same process with Lumona:
Search on Lumona for “face wash for combination skin”
Research each product on Lumona, with the Reddit reviews and YouTube videos about the product already being associated with it
Decide which product I want to buy
By serving Reddit and YouTube reviews directly alongside the product, Lumona simplifies the product research process into one tab and search while giving you more confidence when you’re buying a product. Right now, we currently support skincare, and are excited to see what you think!
Search on Lumona for your skincare products here.
We’d love to hear your feedback! Join our Discord to chat with us or reach out to us via email (founders@lumona.ai), through the feedback button (top-left), Twitter, or YouTube.