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 MonitoringPain Points

Find Qualifying Leads Buyers on r/reactjs

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

Why monitor r/reactjs for Qualifying Leads buyers?

React developers sharing component patterns, state management approaches, and UI tooling discussions. Qualifying Leads 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/reactjs

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

Use this when calling signalpipe_add_station with platform: "reddit"

What do Qualifying Leads buying signals look like on r/reactjs?

"Our sales team is spending 80% of time on leads that never convert — how do you pre-qualify better?"

Why it's a signal: Qualification breakdown. Active buyer.

"What lead scoring models actually predict conversion vs just demographic matching?"

Why it's a signal: Scoring sophistication. Advanced buyer.

"We need a way to only surface leads that are actively in-market — what tools exist?"

Why it's a signal: Intent-based qualification need. Direct fit.

"Ask HN: how do you separate serious B2B inquiries from tire-kickers?"

Why it's a signal: Quality filter buyer. Evaluation.

Anchor sentences for Qualifying Leads buyers on r/reactjs

Add these to signalpipe_add_product to score r/reactjs posts for Qualifying Leads buying intent.

1"need lead qualification that uses buying intent not just firmographics"

2"looking for tool that pre-qualifies leads based on community signals"

3"want to only review leads that are actively expressing buying intent"

4"need lead scoring that learns from what converts not just what fits ICP"

How to start monitoring r/reactjs for Qualifying Leads 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/reactjs as a station

Call signalpipe_add_station with platform: "reddit" and rss_url: "https://www.reddit.com/r/reactjs/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 Qualifying Leads leads from r/reactjs.

Start finding Qualifying Leads buyers on r/reactjs

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

Qualifying Leads buying signals →

All platforms and signal examples

How intent scoring works →

4-stage pipeline explained