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 Revenue Intelligence Buyers on r/MachineLearning

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

Why monitor r/MachineLearning for Revenue Intelligence buyers?

ML researchers and practitioners discussing models, tools, and practical applications of machine learning. Revenue Intelligence 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/MachineLearning

https://www.reddit.com/r/MachineLearning/new/.rss

Use this when calling signalpipe_add_station with platform: "reddit"

What do Revenue Intelligence buying signals look like on r/MachineLearning?

"Gong is too expensive for our stage — what revenue intelligence tools work for Series A companies?"

Why it's a signal: Competitor price-out. Active evaluation.

"We want conversation intelligence but don't have a large sales team — what scales down?"

Why it's a signal: SMB conversation intelligence buyer.

"How do you get revenue intelligence from community interactions as well as sales calls?"

Why it's a signal: Community + conversation intelligence. Perfect fit.

"Ask HN: what does a modern revenue intelligence stack look like without Gong/Chorus pricing?"

Why it's a signal: Stack evaluation. Budget-aware buyer.

Anchor sentences for Revenue Intelligence buyers on r/MachineLearning

Add these to signalpipe_add_product to score r/MachineLearning posts for Revenue Intelligence buying intent.

1"need revenue intelligence tool that includes community signal data"

2"looking for Gong alternative with community monitoring capabilities"

3"want revenue intelligence that captures intent signals from online posts"

4"need deal intelligence that includes prospect community activity"

How to start monitoring r/MachineLearning for Revenue Intelligence 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/MachineLearning as a station

Call signalpipe_add_station with platform: "reddit" and rss_url: "https://www.reddit.com/r/MachineLearning/new/.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 Revenue Intelligence leads from r/MachineLearning.

Start finding Revenue Intelligence buyers on r/MachineLearning

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

Revenue Intelligence buying signals →

All platforms and signal examples

How intent scoring works →

4-stage pipeline explained