SignalPipe is an agentic sales pipeline that monitors Reddit, Hacker News, and RSS feeds 24/7 for buying-intent signals. It uses AI to score each signal, draft a reply, and surface only real leads for human review and approval before anything is sent.

How does SignalPipe detect buying intent?

SignalPipe uses a three-stage pipeline: a keyword gate for cheap pre-filtering, OpenAI text-embedding-3-small for semantic similarity scoring against your anchor sentences, and a three-model LLM swarm (Optimist, Analyst, Skeptic) that evaluates each post independently. A hard skeptic veto suppresses any signal the most skeptical judge dismisses.

Does SignalPipe send messages automatically?

No. Every message requires human approval before it is sent. SignalPipe drafts the reply and queues it for your review — you approve, edit, or reject each one. Nothing is sent without your explicit sign-off.

What platforms does SignalPipe monitor?

SignalPipe monitors Reddit (via subreddit RSS feeds), Hacker News (via hnrss.org keyword feeds), and any RSS-compatible feed. You can add as many sources as you want per product.

How is SignalPipe different from Clay or Apollo?

Clay enriches contact lists you already have. Apollo is a cold email database. SignalPipe generates net-new leads by detecting live buying signals — finding people who are actively posting that they need what you sell, right now, in public communities.

SignalPipe has four tiers: BYOK ($19/mo — bring your own LLM key, 3 products, 50 leads/day, 1,000 prospects), Starter ($49/mo — 2 products, 25 leads/day, 500 prospects), Growth ($149/mo — 10 products, 250 leads/day, 5,000 prospects), and Scale ($499/mo — unlimited everything). Open Source is free for self-hosters. The first 100 waitlist members get 50% off for 3 months.

Does SignalPipe work with NVIDIA NeMoClaw?

Yes — fully compatible out of the box. NeMoClaw is NVIDIA's enterprise distribution of OpenClaw, so any OpenClaw plugin installs and runs on NeMoClaw without modification. For on-prem deployments, SignalPipe also supports local model inference: set COMPANION_LLM_PROVIDER=openai_compatible and point it at a locally running Nemotron or any OpenAI-compatible endpoint. Your leads, prospect data, and generated messages never leave your infrastructure.

Can I run SignalPipe fully on-premises?

Yes. Self-host the FastAPI backend on your own server, connect it to your own PostgreSQL database, and configure the companion message generation to use a local model via any OpenAI-compatible endpoint (Nemotron via NeMoClaw, Ollama, LM Studio, vLLM). The only external call that remains is the OpenAI embedding API for signal scoring — and that can be swapped for a local embedding model by request.

OpenClaw Plugin

Competitor Monitoring Inside Your OpenClaw Agent

Competitor frustration posts are your highest-converting leads. SignalPipe detects them automatically — the moment someone posts that they're leaving a competitor, you're notified.

Install SignalPipe on OpenClaw

openclaw plugins install signalpipe

Available on ClawHub · MIT licensed · Open source on GitHub

What is OpenClaw Competitor Monitoring?

Competitor mention detection is built into SignalPipe's scoring pipeline. Posts that mention your configured competitors are automatically flagged and score-boosted. A prospect who publicly announces they're leaving a competitor is the warmest possible lead.

How SignalPipe adds Competitor Monitoring to OpenClaw

When adding a product in SignalPipe, you configure competitor names in the `competitors` field. The keyword gate uses these to flag and boost competitor-mention posts. Competitor leads appear with a special flag in your queue and are prioritized for immediate response.

How to set up Competitor Monitoring in OpenClaw

Add competitors to your product profile

When calling `signalpipe_add_product`, include the `competitors` array with competitor names and common abbreviations (e.g. "Apollo", "apollo.io", "Apollo.io").

Monitor broad communities

Competitor switch signals appear in general communities (r/sales, r/SaaS, HN) as well as category-specific ones. Cast a wide net with your station list.

Competitor leads are auto-flagged

Any post mentioning your competitors appears in the queue with a competitor flag. These are score-floored — they always reach your queue regardless of other signals.

Respond within the hour

Speed matters more for competitor leads than any other type. The switching window is narrow — be the first helpful response in the thread.

Frequently asked questions

Which competitors does SignalPipe monitor?

Any competitors you configure in your product profile. There is no preset list — you define who your competitors are.

Why are competitor leads score-floored?

Someone publicly announcing they're leaving a competitor has already decided to switch — they just need a destination. These convert at 3-5x the rate of general intent leads. SignalPipe ensures they always reach your queue.

Can I monitor for mentions of my own brand?

Yes. Add your own product name as a keyword and configure brand monitoring as a separate product profile. Brand mentions (especially questions and complaints) are also valuable signals.

What if a competitor mention is not a switching signal?

The sarcasm detection and LLM swarm stages catch posts that mention competitors in non-switching contexts (e.g. "we love [competitor]"). These are filtered or scored lower than genuine dissatisfaction signals.

Add Competitor Monitoring to your OpenClaw agent

Join the waitlist. First 100 get Starter free for 3 months.

No credit card. No commitment.

More OpenClaw use cases

Full setup guide →

All 11 tools, anchor sentences, station types

How intent scoring works →

4-stage pipeline explained

OpenClaw Sales Agent →

The first intent-based sales plugin for OpenClaw

OpenClaw Buyer Intent Detection →

Not every community post is a lead

OpenClaw Community Prospecting →

Community prospecting finds buyers before they find your competitors

OpenClaw Outreach Automation →

SignalPipe drafts replies to community posts so you can respond in 30 seconds