beginner · 5 min read
Train your first model in 5 minutes
The fastest path from sign-up to a real prediction. No code required.
{ TODO: replace with real step-by-step. This is a Phase 2 mock. }
Prerequisites
- A Langsat account (free tier is fine)
- A CSV file, a Parquet file, or a database connection
Step 1 — Create a project
Click + New project on the dashboard. Give it a name. Pick Data Science mode.
Step 2 — Upload or connect data
Drag a CSV into the upload area, or click Connect database and paste your connection string. Langsat auto-detects schema, relationships, and types.
Step 3 — Define your task
Type the prediction question in plain English:
“Predict which customers will churn in the next 30 days.”
Langsat translates that into a SQL task and a target column.
Step 4 — Train
Click Train. For small data, you’ll have a model in under 5 minutes.
Step 5 — Predict
Use the API, batch-download predictions as CSV, or schedule a daily refresh.
{ TODO: embed real screenshots and a recorded demo. }