How AI pain scoring works: the intelligence behind Prowlify

When a Reddit post gets surfaced in Prowlify, it has already been analyzed and scored on two dimensions: Pain Score and Intent Score.

Pain Score (0-10)

Pain Score measures how much the person is suffering. The AI looks for:

• Intensity language — Words that signal high frustration
• Specificity — Vague frustration scores lower than specific consequences
• Duration — Problems lasting a long time score higher
• Stakes — Lost revenue, lost clients, lost time all increase the score

Intent Score (0-10)

Intent Score measures how ready someone is to try or buy a solution.

• Active seeking — Phrases like "does anyone know a tool"
• Previous attempts — Someone who tried 2-3 solutions is highly motivated
• Specificity of requirements — Detailed specs signal a buyer ready to decide

Pipeline Score

Pipeline Score combines Pain and Intent into a single 0-100 number. Posts scoring 80+ are hot leads. Posts scoring 60-79 are warm. Below 60 is noise.

At 94% accuracy on high-intent posts, the AI is significantly better than manual filtering.