Discover great stocks in exponential trends like AI, space, and robotics. Intuitively understand the key factors that drive a stock’s performance, then invest in your favorites!
A magical way to invest in AI, space & other frontier stocks
Discover great stocks in exponential trends like AI, space, and robotics. Intuitively understand the key factors that drive a stock’s performance, then invest in your favorites!
Hey PH fam 👋 I'm super excited to bring Revv Invest to the wider tech & startup community around the world! I rarely get excited about fintech products these days, but Revv Invest stopped me in my tracks. It's completely reinventing how we interact with stock market. Here's the big problem they address: Unless you work in finance, *understanding* stocks feels like math homework. Filled with confusing jargon like P/E ratio, TTM revenue etc. It feels like it's meant for elites and insiders. Bu
Honestly,cuts through the jargon of stocks and analytics to improve my portfolio.
Cool product, love the mission! Congrats on the launch! It sure is confusing to non-finance folks trying to parse through public company data, so great stuff. I've got some opinions after going through your onboarding flow. Is there a good way to share feedback?
congrats on the launch! love products that educate us on money matters
I have been testing it out for a couple of months now and it is definitely the best out there! The well curated research and insights on each company, the design and easy to understand charts, the color theme and sleekness of the website and so many things i cannot begin to list here make Revv a top-notch product!
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.