Reddit Pain Radar

Reddit Pain Radar scores summarized public Reddit pain signals and turns them into buyer types, pain clusters, risk flags, product angles, and first paid offer ideas.

It is built for AI builders, micro-SaaS founders, automation consultants, and agent operators who need demand evidence before building another product.

What It Does

• Scores public Reddit-derived pain signals.
• Groups signals into practical pain clusters such as distribution, workflow chaos, speed-to-lead, report/audit demand, maintenance debt, and marketplace reliability.
• Identifies likely buyer type.
• Flags risky angles such as cold outreach, contact scraping, regulated/legal claims, platform ToS concerns, and customer-data handling.
• Suggests a product/service angle and first paid offer.

What It Does Not Do

• It does not post, comment, message, or vote on Reddit.
• It does not extract usernames, emails, phone numbers, or contact lists.
• It does not scrape private messages or private communities.
• It does not automate cold outreach.
• It does not provide legal, financial, medical, or compliance advice.

Input

Provide summarized public signals:

{
  "dryRun": true,
  "maxResults": 10,
  "includeWatch": true,
  "signals": [
    {
      "subreddit": "r/micro_saas",
      "title": "AI-generated SaaS ideas often make little money without distribution",
      "url": "https://www.reddit.com/r/micro_saas/comments/example/",
      "summary": "Builders say distribution and talking to users are harder than coding.",
      "observed_pattern": "People need demand evidence before building.",
      "tags": ["distribution", "micro-saas"]
    }
  ]
}

Use paraphrased summaries and public links. Do not include usernames, private messages, contact details, or full comment dumps.

Output

Each dataset row includes:

• decision
• urgency_score
• product_angle
• first_paid_offer
• buyer_type
• pain_types
• risk_flags
• budget_proxy
• subreddit
• title
• url
• summary
• next_action

Decision Labels

• PACKAGE_NOW: strong signal for a local offer/report package.
• NEEDS_GUARDED_OFFER: useful signal with privacy, regulated-domain, or implementation guardrails.
• WATCH: weaker or early signal; monitor until repeated evidence appears.
• REJECT_FOR_NOW: avoid without a safer non-contact, compliant variant.

Example Use Cases

• Find repeated pains before building a micro-SaaS.
• Turn Reddit research into a productized service brief.
• Compare possible offers such as Operations Audit Packet, Speed-to-Lead Audit, Marketplace Reliability Feed, and Reddit Pain Radar.
• Create a public-safe weekly CSV/report for AI operators.

Guardrails

This Actor is a demand-intelligence scorer. It is intentionally contact-free. Keep outputs to summarized public behavior and links to public threads.

Pricing Event

For public Store use, the intended pay-per-event event is scored-signal, charged once per scored dataset row when the Actor is configured as a paid Apify Actor.