Seekho v1.0 (MVP)

Growth Product Strategy

A Streamlit demand-validation prototype that tested curriculum matching before investing in a full web platform.

By Shehryar Hassan·2025-02-10

PythonStreamlitSQLiteOpenAI API

seekho.streamlit.app

The Product Vision
Deploying low-fidelity data prototypes to mitigate capital risk and verify baseline user demand parameters.

The User Problem

Educators needed custom learning materials mapped strictly to regional textbook boards. Committing significant engineering resources to a full web platform without concrete demand validation carried too much capital risk.

Architecture

Shipped a rapid Streamlit prototype so real users could interact with the core loop within days.
Wired simple SQLite content parsers backed by a regional syllabus matrix to test prompt accuracy safely.
Locked scope to raw data validation with no auth, no state, and no polish to isolate the value hypothesis.

Product & Growth Impact

Verified the core product hypothesis in the market within days.
Captured clean interaction telemetry that justified scaling up to the v2 platform.
Saved weeks of upfront engineering that would have been sunk into an unvalidated frontend.