... retail investors - most of them don't have 3 hours to parse an earnings call and just want to know if the number matters. Natural language on top of financial data is exactly where AI actually adds value vs. just looking useful. Real-time accuracy on constantly changing financial data is genuinely one of the hardest infra problems in this space, so props for taking it on. Comment from Nolan Vu(@nolan_vu): @njoroge_emmanuel  "Solid product to enough ... ... trust problem you're describing is the core challenge for any warm intro product. "You know someone who knows them" is weak signal. The why now + why this path + what to actually ask is what makes it actionable vs

... more familiar for people. State school and institutes formed such an educational experience for most people on the planet. A pivot towards selling any content at all didn't help the startup because there were already many strong competitors there (e.g., Patreon). It was painful because I was counting on the success of this project the most and even, together with my partner, paid two developers who helped us build the product. My financial resources were reset again ... ... similar years later and get financed yes, but lose a lot more money than I did, because in the end they did not work even with all the money in the world. They weren't solving a problem. Like Foursquare

... community and business called Tech Ladies in 2016, which has since grown to 50,000 members. We help women find jobs in tech, accelerate their careers, and support each other. Before this, I worked in marketing and product at Foursquare, at a startup called Oyster, and at Google. I'm passionate about turning side projects into a full-time jobs, working remotely, bootstrapping, community, and diversity and inclusion in tech ...