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 MonitoringBuying Context

Find Startup Tools Buyers on r/datascience

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

Why monitor r/datascience for Startup Tools buyers?

Data scientists discussing modeling, tooling, career paths, and the practical challenges of working with data. Startup Tools 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/datascience

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

Use this when calling signalpipe_add_station with platform: "reddit"

What do Startup Tools buying signals look like on r/datascience?

"What's the minimum viable sales tech stack for a 2-person B2B startup?"

Why it's a signal: Stack building from scratch. Multiple tool purchases.

"Show HN: I just got my first 3 customers — what tools should I use to get to 30?"

Why it's a signal: Scale inflection. Active tool evaluation.

"We just raised a seed round — what sales tools do we invest in first?"

Why it's a signal: Budget unlock. Active buyer with funding.

"Bootstrapped founder looking for affordable tools to find early B2B customers — any recommendations?"

Why it's a signal: Budget-constrained founder buyer. Direct fit.

Anchor sentences for Startup Tools buyers on r/datascience

Add these to signalpipe_add_product to score r/datascience posts for Startup Tools buying intent.

1"building first sales stack for early-stage B2B startup on limited budget"

2"looking for affordable startup tools to find first paying customers"

3"need sales tools that work for 1-2 person team without enterprise pricing"

4"want community-based lead generation tools for bootstrapped startup"

How to start monitoring r/datascience for Startup Tools 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/datascience as a station

Call signalpipe_add_station with platform: "reddit" and rss_url: "https://www.reddit.com/r/datascience/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 Startup Tools leads from r/datascience.

Start finding Startup Tools buyers on r/datascience

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

Startup Tools buying signals →

All platforms and signal examples

How intent scoring works →

4-stage pipeline explained