The Gap Engine is the intelligence core of gapfeed. It does what most idea tools cannot: it grounds every insight in real evidence.

How It Works

The Gap Engine is powered by a carefully chosen mix of large language models. Each stage uses the model best suited to the task, balancing speed, reasoning quality, and cost, while always operating under strict evidence-based constraints.

• Thematic Clustering — Signals are grouped by shared pain patterns and semantic similarity.
• Multi-Factor Heat Scoring — Combines volume (30%), urgency (25%), velocity (15%), source diversity (15%), and sentiment shifts (15%).
• Evidence-Only Competitor Intelligence — Only tools, products, and substitutes mentioned by users are included. No invented names.
• Quality Gates — Every gap is scored on specificity, actionability, and human voice. Low-scoring generations are refined or rejected.
• Semantic Deduplication — New gaps are checked against the entire catalog using embeddings.

The result is specific, trustworthy market gaps instead of generic lists. We surface not just what's broken today, but emerging rebound effects, the hidden costs of seemingly perfect solutions.

This is gap analysis built for the post-CRUD world.