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.

Reddit MonitoringSales

Find Lead Scoring Buyers on r/consulting

r/consulting surfaces lead scoring discussions daily — evaluations, competitor complaints, and recommendation requests. SignalPipe monitors every post for genuine buying intent, 24/7.

Why monitor r/consulting for Lead Scoring buyers?

r/consulting covers independent consultants and large consulting firms across strategy, IT, management, and niche specialties. Client acquisition and tool selection are persistent discussion topics. Consultants are active tool buyers — they need CRMs, outreach tools, project management, and proposal software. Lead Scoring buyers in this community post with specificity — they describe their current stack, their pain, and what they need next. These are not passive researchers. They are active buyers.

Station RSS URL for r/consulting

https://www.reddit.com/r/consulting/.rss

Use this when calling signalpipe_add_station with platform: "reddit"

What do Lead Scoring buying signals look like on r/consulting?

"We get 200 leads a week but no idea which 10 will actually close — how do people score this?"

Why it's a signal: Prioritization problem. Active buyer.

"Our lead scoring model is just firmographics — how do you add behavioral and intent signals?"

Why it's a signal: Model sophistication buyer. Technical need.

"Is there a lead scoring system that learns from what actually converts vs what looks good on paper?"

Why it's a signal: ML-based scoring buyer. RL relevance.

"We want to add community signal scoring to our lead model — is this a thing?"

Why it's a signal: Direct community scoring need. Perfect fit.

Anchor sentences for Lead Scoring buyers on r/consulting

Add these to signalpipe_add_product to score r/consulting posts for Lead Scoring buying intent.

1"need lead scoring that uses community buying signals not just firmographics"

2"looking for adaptive lead scoring that learns from conversion history"

3"want to add Reddit and HN post signals to our lead scoring model"

4"need to prioritize leads by genuine purchase intent not just company size"

How to start monitoring r/consulting for Lead Scoring buyers

Install SignalPipe

Run `openclaw plugins install signalpipe` inside OpenClaw. Takes under a minute.

Create a product profile

Call signalpipe_add_product. Paste the anchor sentences above into the anchor_sentences field.

Add r/consulting as a station

Call signalpipe_add_station with platform: "reddit" and rss_url: "https://www.reddit.com/r/consulting/.rss". Then call signalpipe_reload_products.

Run your first scan

Call signalpipe_scout_now to trigger an immediate scan. Then signalpipe_get_missions to see Lead Scoring leads from r/consulting.

Start finding Lead Scoring buyers on r/consulting

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

No credit card. No commitment.

Full setup guide →

All 11 tools, anchor sentences, station types

All signals on r/consulting →

Full subreddit monitoring guide

Lead Scoring buying signals →

All platforms and signal examples

How intent scoring works →

4-stage pipeline explained