Find Your Perfect AI Tool

Answer 5 quick questions and we'll recommend the best tools for you.

Under the hood

How Our AI Matching Engine Works

Five questions generate a high-dimensional preference vector that is scored against our entire tool catalog in real time — delivering results in under 200 ms.

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Semantic Preference Embedding

Your 5 answers are encoded into a high-dimensional preference vector using a fine-tuned transformer model, capturing latent intent beyond keyword matching.

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Cosine Similarity Scoring

Each tool in the catalog is represented as an embedding across 60+ behavioral signals. We compute cosine similarity between your vector and every tool, ranking by angular proximity.

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Collaborative Filtering Layer

A secondary pass applies collaborative filtering trained on 12,000+ anonymized user journeys, re-weighting scores by audience-goal interaction patterns observed at scale.

Real-Time Density Normalization

The final ranked list is re-scored against category density curves to ensure diversity — preventing popular categories from crowding out niche but highly relevant matches.

800+
AI tools indexed
60+
behavioral signals
12 000+
training journeys
<200 ms
match latency