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MagicWifiMoney
MagicWifiMoneyCOMMUNITY
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last30days

Aggregate and rank engagement-weighted community discussions from Reddit, X, Hacker News, and developer forums.

Updated Aug 23, 2026
Search Tags:#reddit#hackernews#content-validation#community-research#pain-point-mining#competitor-intel#trend-spotting
One-click install
npx skills add https://github.com/MagicWifiMoney/openclaw-starter-kit --skill last30days-magicwifimoney
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: last30days
Source: https://github.com/MagicWifiMoney/openclaw-starter-kit/tree/main/skills-custom/last30days
Command: npx skills add https://github.com/MagicWifiMoney/openclaw-starter-kit --skill last30days-magicwifimoney

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Aggregates and weights community conversations so teams can quickly surface real, engagement-driven pain points, feature requests, and sentiment that matter for product decisions and content planning.

Core Features & Use Cases

  • Engagement-weighted aggregation: Searches Hacker News, Reddit, X, Stack Overflow and developer sources and ranks results by upvotes, comments, and other engagement signals.
  • Enrichment & scoring: Enriches Reddit threads with live metrics, normalizes dates, deduplicates similar discussions, and scores items by relevance, recency, and engagement.
  • Workflows & automation: Provides helper scripts, cron examples, and dashboard integrations to run weekly digests, competitor monitoring, and content validation.
  • Use Case: Validate a product idea by running a 30-day community scan to extract buildable pain points, competitor complaints, and high-engagement content angles.

Quick Start

Use the last30days skill to research "Cursor IDE" and return an engagement-weighted summary of top discussions and actionable pain points from the last 30 days.

Frequently Asked Questions about last30days

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract community pain points from Reddit and Hacker News for product validation?▼

To extract community pain points for product validation, you can aggregate and score engagement signals like upvotes and comments from Reddit and Hacker News. This surfaces real, actionable user complaints and feature requests within a 30-day window.

What is engagement-weighted aggregation for community research?▼

Engagement-weighted aggregation for community research ranks discussions by upvotes, comments, and interaction metrics. It prioritizes high-signal conversations over low-engagement noise when mining developer forums.

Can I run competitor intelligence scans on X and Reddit without manual searching?▼

You can automate competitor intelligence scans on X and Reddit using parallel search queries and enrichment scripts. This collects live thread metrics and deduplicates similar complaints for analysis.

Do I need API keys to pull live engagement metrics from Reddit and X?▼

Optional OpenAI or xAI keys are required to integrate and pull live engagement metrics from Reddit and X. These keys enable enrichment scripts to fetch real-time upvotes and comments for accurate scoring.

How do I set up weekly trend spotting digests for developer forum discussions?▼

Set up weekly trend spotting digests for developer forum discussions using provided helper scripts and cron examples. This automates parallel searches across platforms and delivers engagement-weighted summaries on a schedule.

What is the best way to filter community discussions by recency for content validation?▼

The best way to filter community discussions by recency for content validation is normalizing dates and applying a 30-day window during aggregation. This ensures surfaced pain points and sentiment reflect current market trends.

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