CASE / Technical · Technical Proof / Curiosity
GTA DataCity
Ishita Srivastava made a San Francisco coworking table explorable as a 3D game.
01 / THE THING
What it is
Ishita Srivastava made a San Francisco coworking table explorable as a 3D game.
02 / THE ASSUMPTION
The default
A location dataset is browsed as rows, columns, and filters.
03 / THE TURN
The shift
The dataset is represented as a city to move through.
04 / THE MECHANISM
How it works
The maker describes an n × m table expressed as a game; Product Hunt links to a playable site and a project GitHub entry.
05 / THE POINT
Why it matters
A spatial form can make a research list more memorable and inviting to explore.
06 / EVIDENCE BOUNDARY
What we know
Confirmed
- Product Hunt identifies Ishita Srivastava as maker and links the project's website.
- The maker describes the source as a San Francisco coworking dataset and the output as a 3D game.
Inferred
- Movement through the dataset may help some visitors retain spatial relationships.
Unknown
- Generalizability of the data-to-game pipeline and usage outside the launch.
Checked 2026-09-29 · Read original source ↗
07 / SIGNAL & ROLE
How deep to read it
Signal: Maker launch and linked game; no verified use metric.
Role: Technical Proof, Curiosity
08 / TAKE THE QUESTION
What you can borrow
Could a dataset become a place people navigate rather than a table they scan?
09 / FOLLOW THE THREAD