Forumcue
AI Product Management
Converts chaotic community forum text into structured product roadmaps. Uses automated vector pipelines to rank user feature requests quantitatively.
By Shehryar Hassan·2026-03-05
PythonVector DBsSemantic Classification
internal
beta
The Product VisionUsing semantic classification systems to turn chaotic internet discussion threads into quantitative product roadmaps.
The User Problem
Product teams wasted hours crawling forums manually. Crucial bug reports and feature requests were lost in unstructured noise, and prioritisation defaulted to whoever shouted loudest.
Architecture
- Designed an automated ingestion pipeline that crawls active developer discussion hubs and normalises raw text.
- Indexed entries in a vector database keyed by contextual product relevance for fast semantic lookup.
- Deployed classification models that auto-tag threads to explicit engineering feature components.
Product & Growth Impact
- Replaced subjective roadmap guesswork with concrete, quantitative user telemetry.
- Surfaced high-frequency issues in real time so engineering could ship hotfixes faster.
- Tracked sentiment shifts systematically, letting leadership target resources where demand was actually highest.