A big day for Motif Analytics: after 2 years of hard work and iteration with early users, we are excited to announce emerging from private beta (ready for everyone) with seed funding from Amplify Partners and Felicis as well as backing by dozens of top data executives via

Excited to lift the curtain on Motif Analytics foundational AI models for analytics by Sean J. Taylor & Alex Chin. We are using them to crack the analytics holy grail - finding metrics predictors / growth & optimization levers. Let us know if you want to try it on your event data!

Data folks, how would love to get your opinion. There is clearly an important set of funnel-based analytics questions: - pass-through rates between user states - durations between user states - intensity (number of occurrences) between user states - retention - attribution among

Just had a call with a prospective customer and they had the best way of finding Motif Analytics: one of their job candidates used a sequence visualization from our tool in their take-home project and got everybody intrigued, so they ended up researching and reaching out. 🤯

Sunburst by Kerry Rodden was our inspiration when we started building sequence analytics tools at Google Play in 2016. The idea captured our minds so much that 8 years later we've built a company Motif Analytics around it. It is truly a new analytics paradigm!

Working hard on big new things at Motif Analytics doesn't stop us from bringing many small quality of life improvements. One of them is better results caching. You can observe this best when cycling between the views (BTW, it does support "Query more" too)

❓ Do you know which companies analysts and data scientists stay at the longest? Leave quickly? You can find out easily in Motif Analytics using sequence operations. No need for an account to explore demo datasets. Share if you find something interesting.

Once trying a Progressive Analytics system, there's no turning back. We are proud to be part of this movement and built a high-throughput (millions of events/s), low-latency (<1s P50) and scalable (1-1000's of workers) system using TypeScript and Dragonfly Read on how