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

Prospect Tracking Inside Your OpenClaw Agent

Every prospect SignalPipe finds is tracked through a temperature model. Your OpenClaw agent always knows who to follow up with, when, and how.

Install SignalPipe on OpenClaw

openclaw plugins install signalpipe

Available on ClawHub · MIT licensed · Open source on GitHub

What is OpenClaw Prospect Tracking?

Prospect tracking in SignalPipe uses a 0-100 temperature score per prospect that evolves based on interactions. Four modes — nurture, recovery, sales, and closing — map to different outreach approaches. Your OpenClaw agent surfaces the right prospects at the right moment.

How SignalPipe adds Prospect Tracking to OpenClaw

When a prospect enters the pipeline from a community post, they start at a baseline temperature. Replies, engagement, and time decay all affect the score. Your OpenClaw agent can query the pipeline by temperature, mode, or product to prioritize follow-up work.

How to set up Prospect Tracking in OpenClaw

Prospects enter automatically

Every approved lead from community scanning enters the prospect pipeline with initial contact context, the original post, and baseline temperature.

Temperature evolves

Engagement raises temperature. Time without contact lowers it. Temperature determines which of the four outreach modes applies: nurture (low), recovery (dropped), sales (warm), closing (hot).

Agent-managed follow-up

Ask your OpenClaw agent "who should I follow up with today?" and it queries SignalPipe for prospects in the right temperature band with pending actions.

Full history preserved

Every message sent, every reply received, every signal detected — all stored per prospect. Your agent never repeats itself or contradicts prior conversations.

Frequently asked questions

What is the temperature model?

Temperature is a 0-100 score per prospect that reflects their likelihood to convert based on engagement signals, time since last contact, and interaction history. It maps to four outreach modes: nurture (0-30), recovery (30-50), sales (50-80), and closing (80-100).

Can I see my full prospect pipeline?

Yes. Call `signalpipe_get_missions` with pipeline filters to see prospects by temperature, product, or stage. Your OpenClaw agent can interpret and present this data in any format you ask for.

How long are prospects tracked?

Indefinitely, unless you archive them. Temperature decays naturally over time without contact, eventually settling in nurture mode — a reminder that the prospect exists, not a pressure to act.

Can SignalPipe integrate with an external CRM?

Not yet natively. The prospect pipeline is SignalPipe-internal. CRM export and sync is on the roadmap for the multi-tenant phase of the product.

Add Prospect Tracking 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 Outreach Automation →

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