Trace

There has been so much talk about everyone "learning to code". In reality, everyone has to observe, explore, and reason with data. We want to build tools that empower analytical operating cultures.

Founded 2020
1-15 employees
  • Technology Infrastructure
  • Information Systems
  • Headquarters address
    New York

    We are a seed-stage startup that wants to empower analytical operating cultures by creating the intelligence once promised and never delivered in "Business Intelligence" software. Look, there is a lot of buzz around data but we are skeptical that data in of itself is valuable or more data is always better or data is sentient like "the data will tell us" - instead, we, as users, need to provide the shape and context to convert data observations into the right interpretations.

    We believe, drawing heavily from our personal experiences and first principles, that there is a new, different way to provide structure over data that in turn provides enormous leverage for organizations. Particularly, we want to help the analysts and analytical operators, who toil day-to-day with increasing volumes of observational data inside a swamp of tables, code, and dashboards, and are asked to weave operational magic - what happened where, why, what does it mean for our goals, and what's next.

    In short, our mission is to help analysts and analytical operators leapfrog the grunt-work of tedious, repetitive, and incomplete data explorations to answer the fundamental "what" and "why" questions that animate organizations.

    We are in stealth mode, recently funded by top tier VCs (FirstMark and Amplify) and angels in the data/dev tooling space.

    Our founding team is exceptional with lived experiences in scaling high-growth startups (Uber, Rent the Runway) and want to take our learning to dream, shape and will into reality a new category of enterprise software. If you have ever wanted to join on the ground floor of a well-funded deep data/dev startup with fertile engineering and product challenges, this is it!

    Tech stack

    Python, SQL, React, TypeScript, Cloud Computing, duckDB, Rust