How Askable CEO Andreas Zhou grew Askable to $4.2M revenue and 500 customers in 2024.

In 2024, Askable's revenue reached $4.2M. The company previously reported $3.1M in 2023. Since its launch in 2016, Askable has shown consistent revenue growth.

Andreas Zhou

Andreas Zhou is the co-founder of Askable, a platform for stress-free recruitments for user testing. During its first year on the market, Askable has worked with names such as CBS, Deloitte, Tanda and Accenture. Being known as the "Uber" for user testing, Askable can help in all sorts of situations. UX designers (User Experience designers are responsible with creating products that provide meaningful experiences to their users), marketers and creative professionals will find it easy and fast to find participants for face-to-face usability testing and focus groups. Since a UX designer can have a variety of responsibilities like branding, function and usability (it all depends on the company they work for), their work is often considered subjective and needs market testing and direct feedback from the target market. Thanks to his business mindset, Andreas discovered a problem with designers finding and managing participants for these tests and since there was no solution available, he created one. In his interview for Indie Hackers, Andreas stated that: “Being able to really empathize with your customer because you’ve been through the pain yourself is a huge advantage.” It took a week to make the MVP (to learn more about what the Minimum Viable Product is, read “The Lean Startup”). So far, Askable seems to have all the right tools to succeed: they solve a real problem, they address a non-saturated market, they’ve created a good value proposition and they keep their expenses to a minimum (salaries excluded). Since 2007, the year when Andreas decided to drop out of design school and work on his first web design business (Orange Digital - a digital agency), he has tackled with responsibilities such as project manager, digital marketer and audio/video producer. He also co-founded Unpossib.ly, an innovation platform for machine learning challenges.