signalpipe

SignalPipe

Agentic sales pipeline — buying-intent detection, swarm-scored lead qualification, and prospect nurturing for OpenClaw agents.

SignalPipe watches Reddit, Hacker News, X/Twitter, and any RSS feed you configure for people publicly expressing buying intent. A 3-judge AI swarm evaluates every signal, calibrates the reply to the signal strength, and surfaces only real leads for your approval. Works with any OpenClaw-compatible agent — or connect directly via MCP from Claude Code, Cursor, or Windsurf.

signalpipe.io

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What It Does

Top of funnel — Signal Acquisition (Mantidae): Scouts Reddit, Hacker News, X/Twitter, and custom RSS feeds every cycle. Every post passes through a 3-stage scoring filter — keyword gate, multi-factor semantic scoring, sarcasm detection — then reaches a 3-judge AI drafting swarm: Skeptic, Analyst, Optimist. Each judge scores the lead independently. The swarm fuses their scores and suppresses low-intent posts automatically. Only leads that clear the swarm reach your queue — with a draft already calibrated to how hot the signal is:

• Closer (highest-intent): Direct, action-oriented reply — proposes a concrete next step
• Advisor (mid-intent): Consultative — acknowledges the problem, introduces the product naturally
• Educator (early-stage): Value-first — leads with a genuine insight, mentions the product only if it fits

Competitor-switch posts are hard-floored and always reach your queue regardless of score.

Mid/bottom of funnel — Nurture Engine: Tracks every prospect's temperature (0–100) across 13 signal types. Automatically selects the right persona (Educator → Consultant → Closer → Re-engager). Remembers objections permanently — if someone said the price is too high, that angle is never repeated. Never spams. One-directional mode transitions.

Execution — Sender (v2.0): The brain scores, drafts, and approves; the plugin can now also send. An optional background sender holds a live stream open to the brain, receives the missions you've already approved, and posts reddit_comment / reddit_dm on Reddit with your own credentials. The math runs on us, the sending runs on you — your Reddit credentials and LLM keys never reach SignalPipe. twitter_reply is handled by the standalone signalpipe-daemon. The sender is opt-in: set the REDDIT_* env vars to enable it, or ignore it entirely and stay MCP-only.

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Tools (20 total)

Signal Acquisition

Tool	What it does
signalpipe_get_missions	List pending leads awaiting review — score, role, channel, snippet, draft. Lean by default; opt into include_context=true only when drafting.
signalpipe_draft_mission	Get the drafting payload for a single mission so the host LLM can write the reply itself (BYOK path)
signalpipe_upload_draft	Upload a host-LLM-written draft to a mission
signalpipe_approve_mission	Approve a lead and queue it for outreach
signalpipe_reject_mission	Reject a lead with a reason — teaches the per-station RL loop (penalty size adapts to the reason; demotes one noisy feed without dragging the rest of the product down). Don't use this when the post is just gone — use signalpipe_delete_mission instead.
signalpipe_delete_mission	Hard-delete a mission row — silent cleanup, no learning signal. Companion to reject. Canonical case: the post was deleted / 404'd / removed before you could reply.
signalpipe_scout_now	Trigger an on-demand scouting run across all active products
signalpipe_get_products	List all configured products
signalpipe_add_product	Register a new product to monitor — describe it in buyer language
signalpipe_add_station	Add an RSS feed, subreddit, or HN keyword feed for a product
signalpipe_reload_products	Hot-reload product cache after changes — no redeploy needed

Nurture Engine

Tool	What it does
signalpipe_track_prospect	Log a signal from a prospect, update their temperature
signalpipe_get_message	Generate the next outreach message via the backend LLM
signalpipe_get_message_prompt	Get the full prompt + context so the host LLM writes the message (BYOK path)
signalpipe_record_message	Record a host-LLM-written message as sent
signalpipe_get_pipeline	View the full prospect pipeline sorted by temperature
signalpipe_score_signal	Universal scorer — paste any text (Gmail, Slack, Discord, Telegram, LinkedIn, transcripts) and get back the same score + classification + drafting context the scout produces for Reddit/HN posts. SignalPipe never touches the source channel; your host agent does.

Sender

Reddit-only; requires the optional REDDIT_* env vars. Contains no scoring or drafting — it only posts pre-approved missions with your credentials.

Tool	What it does
signalpipe_start_sender	Start the background sender — streams approved missions and posts reddit_comment / reddit_dm with your own Reddit creds. Supports dry_run.
signalpipe_stop_sender	Stop the background sender; unsent approved missions stay queued on the brain
signalpipe_sender_status	Report sender state — running / connected, sent / failed / skipped counts this session, plus brain-side queue depth

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MCP Support

SignalPipe exposes all tools as an MCP server — no OpenClaw plugin install needed.

Connect from Claude Code, Cursor, or Windsurf — add this URL to your MCP config:

https://api.signalpipe.io/mcp

Auth: Authorization: Bearer YOUR_OPERATOR_KEY

Once connected, ask your agent:

• "Show me my leads"
• "Reject the first one — it's a founder promoting their own tool"
• "Who should I follow up with today?"

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Live Session Example

A typical morning lead review inside your OpenClaw agent or Claude.ai via MCP.

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You: Show me today's leads.

→ signalpipe_get_missions

3 missions pending review

MISSION 1 · score: 91 · role: CLOSER · competitor_flag: true
Product : AcmeTool
Channel : reddit_dm
Handle  : u/frustrated_dev99
Snippet : "Their pricing just doubled again. Done. Need a replacement ASAP."
Draft   : "Saw your post — we built AcmeTool for exactly the gap you're
           describing. Teams typically switch in under a week. Worth a
           quick look? Happy to show you how it compares."

MISSION 2 · score: 68 · role: ADVISOR · competitor_flag: false
Product : AcmeTool
Channel : reddit_dm
Handle  : u/ops_lead_rachel
Snippet : "Looking for a tool to automate repetitive ops workflows.
           Budget is flexible, need something the team actually uses."
Draft   : "The part about 'something the team actually uses' is the real
           problem to solve — most tools fail there, not on features.
           AcmeTool is built around that constraint. Happy to walk through
           a real team setup if useful."

MISSION 3 · score: 24 · role: EDUCATOR · competitor_flag: false
Product : AcmeTool
Channel : reddit_dm
Handle  : u/just_browsing_thx
Snippet : "Saw an ad for workflow tools. Not really something I need right now"
Draft   : [Swarm low-confidence — auto-rejected]

Agent: 2 leads ready. Lead 1 is a competitor-switch signal, score 91 — Closer draft, proposes a direct next step. Lead 2 is a genuine need with flexible budget, score 68 — Advisor draft, leads with their real problem. Lead 3 was auto-rejected by the swarm. Approve 1 and 2, or edit first?

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You: Lead 1 is good, approve it. For lead 2 change the draft to: "Hey Rachel — we solve exactly this. Most ops teams are running automations within a day. Want me to show you how a team like yours uses it?"

→ signalpipe_approve_mission (msn_8f3a — swarm draft unchanged)
→ signalpipe_approve_mission (msn_2b91 — user-edited draft)

✓ msn_8f3a queued for outreach
✓ msn_2b91 queued for outreach (your version)

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You: Rachel just replied — she's interested. Log it.

→ signalpipe_track_prospect
  handle    : u/ops_lead_rachel
  channel   : reddit_dm
  signal    : replied
  mission_id: msn_2b91

{
  "prospect_id": "pro_7f2c",
  "handle": "u/ops_lead_rachel",
  "temperature": 45,
  "mode": "sales",
  "persona": "Consultant",
  "follow_up_in": "2–3 days"
}

Agent: Rachel is in Sales mode, temperature 45. Consultant persona active — qualify and show fit, no hard sell yet.

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You: Who's hottest? Generate a message for them.

→ signalpipe_get_pipeline
→ signalpipe_get_message (prospect_id: pro_sarah_cto)

{
  "message": "Sarah — you've seen how it works. Happy to answer any last
              questions before your team makes a call. What's the main
              thing you're still weighing?",
  "tactic": "remove_friction",
  "mode": "closing",
  "temperature": 88,
  "note": "Previous objection (too_expensive) on record — pricing angle avoided"
}

Agent: Closing mode, friction-removal tactic. Her previous pricing objection is permanently on record — the AI avoided that angle automatically.

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Quick Start

1. Get a backend + operator key

Managed (recommended): Join the waitlist at signalpipe.io — you get a SIGNALPIPE_OPERATOR_KEY and backend URL. No infrastructure to manage.

Self-hosted: See Self-Hosting below.

2. Install

Via OpenClaw:

claw install signalpipe

Via MCP (no plugin install): Add the MCP server URL to Claude.ai, Cursor, or Windsurf — see MCP Support above.

3. Set environment variables

export SIGNALPIPE_API_URL=https://api.signalpipe.io
export SIGNALPIPE_OPERATOR_KEY=your-operator-key

Optional — to run the in-plugin Reddit sender (v2.0): add a Reddit "script" app's credentials (create one at https://www.reddit.com/prefs/apps on the sending account). These stay on your machine and are never sent to SignalPipe.

export REDDIT_CLIENT_ID=your-client-id
export REDDIT_CLIENT_SECRET=your-client-secret
export REDDIT_USERNAME=your-sending-account
export REDDIT_PASSWORD=your-password
# optional caps (defaults shown)
# export MAX_REDDIT_COMMENTS_PER_DAY=15
# export MAX_REDDIT_DMS_PER_DAY=5

4. Configure a product

Ask your agent:

"Add my product — it's called AcmeTool, it helps ops teams automate repetitive workflows, target audience is ops leads and founders, anchor phrases: 'automate repetitive tasks', 'workflow automation', 'ops without headcount'"

The signal engine activates on the next scout cycle.

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How Scoring Works

Every incoming post passes through two sequential pipelines.

Pipeline 1 — Scoring (backend):

1. Keyword gate — pre-filter: any buy_signal_keywords must appear before the post is scored. Eliminates ~85% of posts with zero API cost.
2. Multi-factor semantic scoring — embedding similarity, urgency, specificity, and keyword density. Multilingual: English, Spanish, French, German, Portuguese.
3. Sarcasm detection — distinguishes genuine buyers from venting or irony. Fails open — real leads are never suppressed by the sarcasm check.

Pipeline 2 — Swarm Drafting (managed backend):

Posts that survive scoring reach a 3-judge AI swarm:

Judge	Role
Skeptic	Vetoes non-buyers, sellers promoting their own tools, surveys
Analyst	Assesses fit depth, writes the preferred draft
Optimist	Finds the strongest read of the lead, fallback draft

The judges run concurrently, and their scores are fused via a weighted ensemble. Low-confidence leads are auto-rejected — they never reach your queue. High-confidence leads get a draft calibrated to signal strength:

• Closer (highest-intent): Proposes a concrete next step — demo link, trial, or direct ask
• Advisor (mid-intent): Consultative — acknowledges situation, introduces product naturally
• Educator (early-stage): Value-first — answers their question, mentions product only if it fits

Reinforcement learning: Every approve/reject adjusts the source station's RL weight — each listening feed (subreddit, HN search, RSS source) carries its own multiplier. Approvals reward the feed; rejections are reason-aware, with the penalty sized to how bad the signal was — spam is penalised hardest, then wrong-audience, then weak or no-reason rejections, while sarcasm and wrong-product are lighter and "already a customer" carries no penalty. Per-station scoping means one noisy feed gets demoted without penalising the rest of the product's sources.

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Temperature Model

Mode is intent-based, not pure temperature. Brand-new prospects start in nurture regardless of their starting temperature and only move out once a real signal lands.

Mode	When	Persona
Nurture	First-touch / no engagement yet (default for new prospects)	Educator — value-first, lead with insight, mention the product only if it fits
Sales	Prospect engaged (replied / clicked / asked / viewed) and temperature 30–74	Consultant — qualify, show fit, build trust
Closing	Sustained engagement and temperature ≥ 75	Closer — urgency, social proof, clear CTA
Recovery	Previously engaged and cooled, or explicit cooling signal (ghosted_3_days, ghosted_7_days, not_interested, bad_timing)	Re-engager — re-spark cold leads, no hard sell

13 signal types map to calibrated heat deltas: booked_demo, asked_pricing, viewed_content, replied, clicked_link, not_decision_maker, ghosted_3_days, no_time, competitor, too_expensive, not_interested, bad_timing, ghosted_7_days.

One-directional mode transitions — no oscillation, no spam. Objection memory — permanently recorded and injected into every future message so the AI never repeats a failed angle.

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Managed Backend Tiers

Tier	Price	Products	Leads/day	Prospects
BYOK	$19/mo	3	50	1,000
Starter	$49/mo	2	25	500
Growth	$149/mo	10	250	5,000
Scale	$499/mo	Unlimited	Unlimited	Unlimited

Annual billing available — 2 months free (17% off). First 100 waitlist signups: 50% off for 3 months.

View pricing →

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Self-Hosting

The backend is a FastAPI app. Requirements:

• Python 3.11+
• PostgreSQL with pg_cron and pg_net (Supabase recommended)
• A host that supports long-running processes (Railway recommended)
• OpenAI API key (embeddings)

Full setup guide: signalpipe.io/guide#self-hosting

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License

Plugin: MIT
Backend: Business Source License 1.1 (converts to Apache 2.0 after 4 years)