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

Warm Outreach Automation Inside OpenClaw

SignalPipe drafts replies to community posts so you can respond in 30 seconds. Every draft references what the prospect said — not a template.

Install SignalPipe on OpenClaw

openclaw plugins install signalpipe

Available on ClawHub · MIT licensed · Open source on GitHub

What is OpenClaw Outreach Automation?

Outreach automation with SignalPipe is different from cold email automation. Instead of sending templated messages to a list, it drafts contextual replies to specific posts from in-market buyers. You review every draft. Nothing sends without your approval.

How SignalPipe adds Outreach Automation to OpenClaw

When SignalPipe scores a post as a buying signal, it simultaneously drafts a reply using the post content as context. The draft is available in your agent session alongside the lead. You approve, edit, or reject it — and SignalPipe tracks the outcome to improve future drafts.

How to set up Outreach Automation in OpenClaw

Leads arrive with drafts

Every high-intent post in your queue comes with an AI-drafted reply already written. The draft cites what the prospect said and positions your product in response.

Review in your agent

Ask your OpenClaw agent to show you the lead, the draft, and the post. Edit the draft inline or approve it as written.

Track responses

SignalPipe tracks whether the prospect replied, how the conversation developed, and adjusts their temperature score accordingly.

Follow up intelligently

Based on temperature (0-100), SignalPipe tells your agent when to follow up, in what mode (nurture/recovery/sales/closing), and what not to repeat from prior messages.

Frequently asked questions

Does SignalPipe send replies automatically?

No. Every reply requires your explicit approval. SignalPipe drafts — you approve. This is intentional: the human relationship matters, the machine just makes sure you never miss the conversation.

How are drafts personalized to each post?

The draft is generated using the full post content as context, not a template. It references what the prospect said, acknowledges their specific situation, and positions your product in direct response to their stated need.

Can I customize how drafts are written?

Yes. You can configure tone, length, and CTA preferences per product. The system also learns from your edits — if you consistently change certain phrasing, it adapts.

What happens after I send a reply?

SignalPipe tracks the prospect in a temperature model. If they reply, the temperature rises. If the thread goes quiet, it enters nurture mode. Your agent knows the full history of every interaction.

Add Outreach Automation to your OpenClaw agent

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

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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 Lead Generation →

Stop building cold lists

OpenClaw Buyer Intent Detection →

Not every community post is a lead

OpenClaw Prospect Tracking →

Every prospect SignalPipe finds is tracked through a temperature model