Deepnote (YC S19) is hiring engineers to build a better Jupyter notebook (deepnote.com)

Deepnote, the YC S19 startup building a collaborative alternative to Jupyter, has open‑sourced its notebook and is actively hiring engineers to accelerate development. The company presents its product as an integrated workspace that combines coding, querying, visualization, organization and sharing into a single collaborative environment aimed at data teams. The GitHub repo is now public (invite to star it), and Deepnote is positioning the project as a community-driven platform you can contribute to as it evolves. For the AI/ML community this matters because it pushes beyond single‑user notebooks toward real‑time, team‑oriented workflows that improve reproducibility, reviewability, and operational handoff of experiments and analyses. By opening the codebase, Deepnote invites extensibility, integrations, and third‑party contributions that could help set new standards for how models and data pipelines are developed, documented, and shared. Backed by YC, Index, Accel and notable angels including Greg Brockman, Elad Gil and Naval Ravikant, the effort signals both technical ambition and momentum — an opportunity for engineers and researchers to influence a next‑generation notebook that tightly blends analytics and data science into everyday decision workflows.