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 offers three tiers: Starter ($49/mo — 3 products, 50 leads/day, 500 prospects), Growth ($149/mo — 10 products, 250 leads/day, 5,000 prospects), and Scale ($399/mo — unlimited everything). The first 100 waitlist members get Starter free 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.

Feature

Run SignalPipe Inside Your Own Infrastructure with NVIDIA NeMoClaw

NeMoClaw is NVIDIA's enterprise OpenClaw distribution. SignalPipe installs on it natively — no wrappers, no modifications, zero data leaves your network.

NVIDIA NeMoClaw is the enterprise-grade distribution of OpenClaw, optimized for NVIDIA GPU infrastructure and on-premises AI deployments. Because SignalPipe is a standard OpenClaw plugin, it installs and runs on NeMoClaw without any modifications — the same ten tools, the same workflow, the same UX.

For organizations that need full data residency, SignalPipe supports local model inference out of the box. Set COMPANION_LLM_PROVIDER=openai_compatible, point COMPANION_LLM_BASE_URL at your locally running Nemotron endpoint, and the companion message generation never leaves your network. Every lead, every draft, every prospect record stays inside your infrastructure.

This makes SignalPipe one of the first agentic sales pipeline tools with a verified on-premises deployment path — relevant to enterprise teams, government contractors, and any organization with strict data governance requirements.

How it works

Native NeMoClaw install

SignalPipe is a standard OpenClaw plugin. NeMoClaw runs all OpenClaw plugins natively — no adapter layer, no compatibility shims, no extra configuration.

Local Nemotron inference

Set COMPANION_LLM_PROVIDER=openai_compatible and point it at your Nemotron endpoint. The Nurture Engine generates messages locally — no external API calls for message drafting.

Full data residency

Self-host the FastAPI backend, connect it to your own PostgreSQL instance, and run local LLM inference. No lead data, prospect data, or generated messages ever leave your network.

Compatible with any OpenAI-compatible endpoint

Ollama, LM Studio, vLLM, and any other OpenAI-compatible server also work — not just Nemotron. NeMoClaw is the enterprise path; Ollama is the developer path.

See it in action

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

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Related features

AI Buying Intent Detection →

Three-stage AI scoring — keyword gate, embedding similarity, LLM swarm — surfaces real buyers and rejects everything else.

AI Outreach Message Drafting →

Context-aware, value-first messages written by AI. Reviewed and approved by you. Never automated without consent.

AI Prospect Nurturing & Temperature Tracking →

Temperature scoring, objection memory, and context-aware follow-ups — all driven by your AI agent.