Your buyers do not all post in English
Urgency and specificity are scored across six languages, and the judges read whatever the post is written in.
A keyword list is a list in one language. Point it at a Spanish subreddit or a French forum and it goes quiet, which looks exactly like an absence of buyers and is not.
SignalPipe matches urgency and specificity across English, Spanish, French, German, Portuguese and Finnish. Someone writing presupuesto aprobado is stating a budget as plainly as someone writing budget approved, and both register.
Underneath that, the semantic layer compares posts to your anchor sentences by meaning rather than by string, and the three judges read the post in whatever language it arrives in. The vocabulary lists sharpen the score. They are not what carries it.
This matters most in the markets nobody else is watching, because the competition for a reply in a non-English community is usually zero.
How it works
Six languages for urgency and specificity
English, Spanish, French, German, Portuguese, Finnish. 135 phrases in total across the two vocabularies.
The judges are not language-locked
The panel reads the post as written. The vocabularies add precision on top of that rather than gating it.
Anchors in your buyers own words
Write anchor sentences in the language your buyers actually use. Matching is on meaning, so close paraphrases register too.
Quiet feeds are worth checking twice
A feed producing nothing is either genuinely empty or being read by something that only speaks English. Those look identical from the outside.
See it in action
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Related
Full setup guide →
Quick start, scoring pipeline, full toolset
SignalPipe vs Clay →
Intent detection vs data enrichment
The Three-Judge Panel →
Three judges read every candidate separately. When they land far apart, you get told, because that is the case a single pass gets wrong.
Reddit Lead Generation →
Every subreddit is a market. SignalPipe monitors yours 24/7 and surfaces buyers the moment they post.
AI Buying Intent Detection →
Two pipelines — multilingual semantic scoring → urgency and specificity → sarcasm detection, then a 3-judge AI drafting swarm — surfaces real buyers in any language and rejects everything else.