Methodology

How Beanie scores intent

Not every post that mentions your niche is a lead. Beanie uses two AI models in sequence to separate noise from signal.

The two-AI system

AI #1 · Product gate

The first model reads your product description and evaluates whether a post is genuinely relevant to what you sell. Posts that match keywords but describe a different problem are discarded here. A discarded post costs at most the 1 credit scan fee, and if a run saves no leads at all, the entire run is free.

AI #2 · Intent grader

The second model grades the surviving posts from 6 to 10. It weighs signals like active comparison, named alternatives, and urgency. The score reflects how ready the person is to act. Nothing scores below 6, because an irrelevant post is discarded by the first model rather than given a low grade.

Score bands

Each band has a defined meaning and a corresponding credit cost. You only pay for posts that pass both AI gates.

Off-topic

The post is not the same category, not the poster's own situation, or the poster is offering a solution rather than needing one. Discarded before scoring. Only the small scan fee applies.

6

The person describes the problem, however specifically, but hasn't asked anything about solving it. Delivered as a lead at 300 credits.

7–8

The person has asked a question, requested advice, or compared options. Saved at 1,000 credits. High conversion potential.

9–10

The person is evaluating vendors, naming alternatives they have tried, or asking about pricing. Saved at 1,750 credits. Reply within the hour.

Scoring in practice

An example of the kind of post that clears both gates and reaches your dashboard.

r/projectmanagement9/ 10Buying signal

"We're evaluating project management tools for our 8-person team. Tried Asana and Notion but neither fit our workflow. Any tools that handle async teams well? Bonus if they have a decent API."

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