Feature

Buyer Intent Data That's Already Public. You Just Need to Listen.

Reddit and Hacker News are live streams of purchase intent. SignalPipe reads them 24/7 and extracts the signals that matter.

Buyer intent data typically comes from third-party behavioral tracking — website visits, content downloads, search activity. That data is expensive, often inaccurate, and always delayed. There's a faster, cheaper, and more reliable source: people publicly posting their problems, asking for recommendations, and evaluating solutions in community forums.

When someone posts "looking for an alternative to [tool] — their pricing just doubled" on Reddit, that's first-party intent data. It's explicit, timestamped, and actionable in minutes. SignalPipe monitors hundreds of these communities and extracts these signals automatically.

The 4-stage pipeline ensures signal quality: keyword pre-screening eliminates noise cheaply, embedding similarity measures semantic fit to your buying-intent profile, sarcasm detection removes false positives, and a 3-model LLM swarm provides final intent classification. The result is a high-precision stream of real purchase intent.

How it works

1

First-party intent, not third-party tracking

Every signal is a public statement of need. No cookie tracking, no probabilistic inference — people saying exactly what they want.

2

Sub-10-minute latency

Feeds are polled every 10 minutes. When someone posts a buying signal, it appears in your review queue within minutes, not days.

3

Semantic intent scoring

Keyword matching misses too much. Embedding similarity against your anchor sentences catches "we're switching tools" even without the exact product keywords you configured.

4

Competitor-switch signals

The highest-intent signals — people publicly frustrated with a competitor — are auto-floored to ensure they always reach your queue. These convert at rates no intent data provider can match.

See it in action

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