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.

B2B Sales Reps

Lead Generation for B2B Sales Reps

Stop working cold lists. Find buyers who just posted publicly that they need what you sell — with the original post, the intent score, and a drafted reply ready to go.

Why is lead generation hard for B2B Sales Reps?

B2B sales reps are squeezed between rising cold email costs and falling reply rates. Contact databases go stale, paid lead lists are expensive, and cold outreach fatigue is real on both sides. Meanwhile, your exact buyers are posting in communities every day — complaining about competitors, asking for recommendations, and describing the problem your product solves.

How does SignalPipe help B2B Sales Reps?

SignalPipe gives reps a daily queue of warm leads from communities. Each lead comes with the original post (context the rep can actually use), an intent score, and an AI-drafted reply that references what the prospect said. Reps spend their time on relationship-building, not list-cleaning.

What B2B Sales Reps use most

Context-first leads

Every lead comes with the full post. You know exactly what they said, what problem they're solving, and which competitors they mentioned before you say a word.

Competitor-switch flags

Posts mentioning a competitor get flagged and surfaced first. These are the highest-converting leads in the queue.

Temperature model

Every prospect has a temperature (0–100). SignalPipe tells you when to follow up, what persona to use (educator / consultant / closer), and what objections to avoid repeating.

Human approval always

SignalPipe drafts; you decide. Nothing is sent without your sign-off. No automation risk, no surprise messages.

How B2B Sales Reps use SignalPipe

Define products and anchor sentences

Work with your team to define the buying phrases for each product. SignalPipe uses these to score every post in monitored communities.

Add relevant communities

Add the subreddits and HN keyword feeds where your buyers spend time. Sales-heavy communities like r/sales, r/B2B, and category-specific subs work best.

Work the daily queue

Every morning, review the scored leads. Each one shows you the post, the score, the competitor flag if relevant, and a draft you can personalize.

Track through pipeline

Log every interaction — reply, follow-up, no response — and SignalPipe adjusts the prospect's temperature and tells you when and how to reach out next.

Start finding leads as a B2B Sales Rep

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

No credit card. No commitment.

Full setup guide →

Quick start, anchor sentences, all tools

How intent scoring works →

4-stage pipeline explained

SignalPipe for SaaS Founders →

SaaS founders using SignalPipe spend 30 minutes a day on outreach — and they're reaching warm leads, not cold lists.

SignalPipe for B2B Sales Teams →

SignalPipe feeds your pipeline with people who just posted they're evaluating solutions in your category.