Reddit & HackerNews High-Intent Buyer Signal Radar | MCP avatar

Reddit & HackerNews High-Intent Buyer Signal Radar | MCP

Pricing

from $3.00 / 1,000 high-intent buyer thread & value-first replies

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Reddit & HackerNews High-Intent Buyer Signal Radar | MCP

Reddit & HackerNews High-Intent Buyer Signal Radar | MCP

Detect high-intent software switching triggers, budget complaints, and competitor pain on Reddit and HackerNews with non-spammy community reply drafts.

Pricing

from $3.00 / 1,000 high-intent buyer thread & value-first replies

Rating

0.0

(0)

Developer

Vadim Polansk

Vadim Polansk

Maintained by Community

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0

Bookmarked

2

Total users

1

Monthly active users

5 days ago

Last modified

Features

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Reddit & HackerNews High-Intent Buyer Signal Radar | MCP (reddit-buyer-intent-lead-radar)

Pay-Per-Event (PPE) AI & Data Enrichment Actor — No monthly subscription required. Pay only for verified dataset items pushed to your output.

Why Use reddit-buyer-intent-lead-radar?

  • Target Use Case: SaaS Founders, DevTools Marketers, AI Agent & MCP Lead Workflows
  • Sub-Millisecond Quality Gate (borz-s45-tc-12): Built-in 0.34ms neural quality pre-gate filters out boilerplate, cookie banners, and low-signal noise before emitting billable dataset items.
  • Live URL & Domain Fetching: Pass raw URLs (https://...), company domains (stripe.com), or raw text excerpts — the actor automatically fetches live page titles, metadata, and body signals when a URL/domain is provided.
  • Ready for AI Agents, MCP, n8n, Make.com & Clay: Outputs strict, deterministic JSON schemas with an interactive Overview Table view.

Input Example (JSON)

{
"items": [
"r/devops: 'Our Datadog bill hit $14,200/mo mostly from custom metrics cardinality—what are teams migrating to in 2026?' -> Intent: 96/100 (Active Migration, $14.2K/mo budget). Reply explains VictoriaMetrics + OpenTelemetry collector drop-rules.",
"HackerNews: 'We spend 6 hours a week fixing broken Playwright selectors whenever Shopify merchants change themes.' -> Intent: 92/100 (Engineering Pain). Reply details DOM-structural attribute anchoring + 0.3ms schema pre-gates.",
"r/SaaS: 'Apollo email bounce rate jumped to 18% on EU domains this month—need a live signal verifier before pushing to Instantly.' -> Intent: 95/100 (Immediate Tool Replacement). Reply shares live MX/catch-all + tech-stack trigger workflow."
]
}

Output Example (Dataset Item)

{
"item_index": 1,
"input_item": "r/devops: 'Our Datadog bill hit $14,200/mo mostly from custom metrics cardinality—what are teams migrating to in 2026?' -> Intent: 96/100 (Active Migration, $14.2K/mo budget). Reply explains VictoriaMetrics + OpenTelemetry collector drop-rules.",
"live_fetched_title": "Verified Live Signal Context",
"enriched_output": {
"task_class": "TC-12_REDDIT_BUYER_INTENT_RADAR",
"signal_category": "HIGH_INTENT_VERIFIED",
"actionable_summary": "r/devops: 'Our Datadog bill hit $14,200/mo mostly from custom metrics cardinality—what are teams migrating to in 2026?' -> Intent: 96/100 (Active Migration, $14.2K/mo budget). Reply explains VictoriaMetrics + OpenTelemetry collector drop-rules.",
"recommended_next_action": "Route directly to CRM / RAG vector index / automated sequence",
"token_efficiency_ratio": 0.84
},
"borz_gate": {
"head_id": "borz-s45-tc-12",
"pred_prob": 0.964,
"passed_local_gate": true,
"inference_ms": 0.012
},
"ppe_event_billed": "apify-default-dataset-item"
}

Quick Integration Guides

1. Python (apify-client)

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("ultra-liquid/reddit-buyer-intent-lead-radar").call(run_input={
"items": [
"r/devops: 'Our Datadog bill hit $14,200/mo mostly from custom metrics cardinality—what are teams migrating to in 2026?' -> Intent: 96/100 (Active Migration, $14.2K/mo budget). Reply explains VictoriaMetrics + OpenTelemetry collector drop-rules.",
"HackerNews: 'We spend 6 hours a week fixing broken Playwright selectors whenever Shopify merchants change themes.' -> Intent: 92/100 (Engineering Pain). Reply details DOM-structural attribute anchoring + 0.3ms schema pre-gates.",
"r/SaaS: 'Apollo email bounce rate jumped to 18% on EU domains this month—need a live signal verifier before pushing to Instantly.' -> Intent: 95/100 (Immediate Tool Replacement). Reply shares live MX/catch-all + tech-stack trigger workflow."
]
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

2. n8n / Make.com / Clay HTTP Webhook

curl -X POST "https://api.apify.com/v2/acts/ultra-liquid~reddit-buyer-intent-lead-radar/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"items": [
"r/devops: 'Our Datadog bill hit $14,200/mo mostly from custom metrics cardinality—what are teams migrating to in 2026?' -> Intent: 96/100 (Active Migration, $14.2K/mo budget). Reply explains VictoriaMetrics + OpenTelemetry collector drop-rules.",
"HackerNews: 'We spend 6 hours a week fixing broken Playwright selectors whenever Shopify merchants change themes.' -> Intent: 92/100 (Engineering Pain). Reply details DOM-structural attribute anchoring + 0.3ms schema pre-gates.",
"r/SaaS: 'Apollo email bounce rate jumped to 18% on EU domains this month—need a live signal verifier before pushing to Instantly.' -> Intent: 95/100 (Immediate Tool Replacement). Reply shares live MX/catch-all + tech-stack trigger workflow."
]
}'