The best way to build data apps is launching today
How Streamlit data apps emerged as Memex's most reliable path from data to deployed software—and why we built around them.
Non-technical founders can build custom tools around their data without hiring engineers. Here's how data apps unlock new leverage.
Turn spreadsheet workflows into robust, reusable data apps without losing the flexibility you love.
Finance and RevOps teams should own their own data apps—not wait in line for engineering to build them.
Essential internal tools that reduce churn, surface insights, and help SaaS teams make better decisions—faster.
How PMs can turn recurring data questions into reusable tools—without waiting for engineering bandwidth
The modern data stack solved storage and transformation. The last mile—turning data into action—still hurts. Data apps are the missing piece.
Data apps turn messy spreadsheets and ad-hoc scripts into reusable, repeatable systems. Here's what that actually means.
The number of people who build software is about to grow by hundreds of millions. That scale will alter how problems are understood, how tools are shaped, and how solutions emerge.
The AI movement is in full swing. Across companies, teams are learning how to build faster, work together more fluidly, and turn ideas into software at a scale we’ve never seen.
AI and no-code tools have sparked a new class of software developers. What once belonged to specialists is now in the hands of millions, who use it to build products, solve problems and bring ideas to life.
