How the ‘last30days’ AI Agent Tracks Global Tech Hotspots in 30 Days

1. The Pain Point: Information Overload

Developers face constant anxiety from new framework releases, heated debates, and community buzz such as the "Paper.design" prompt, which traditionally require manual browsing across Reddit, X, YouTube, Hacker News and other sites. The last30days skill automates this process.

2. Technical Core: Multi‑Signal Scoring Engine

The project is more than a simple multi‑platform crawler; it implements a complex pipeline that ranks and scores results from different sources using a composite algorithm.

Intelligent Scoring : combines bidirectional text similarity, synonym expansion, engagement normalization, source authority weighting, and cross‑platform convergence detection.

Prediction Market Analysis : uniquely integrates Polymarket data, treating monetary bets as trend signals.

Comparison Mode : supports queries like "X vs Y" to deliver parallel research, pros/cons, and data‑driven conclusions.

For example, Polymarket scores weigh text relevance, 24‑hour trading volume, liquidity depth, price‑change speed, and result competitiveness, ensuring the most valuable market viewpoints are presented.

3. Quick Start

Claude Code users can add the source in the plugin market and install with a single command; the project also supports installation via the ClawHub platform. The latest version allows project‑level environment variables stored in a .claude/last30days.env file for secure API‑key management.

Usage is straightforward: entering /last30days Claude Code vs Cursor yields a structured comparison report that includes each tool's advantages, community feedback, and adoption trends.

4. Target Scenarios

Tech decision‑makers & entrepreneurs : rapid research on technology choices (e.g., "Next.js vs Remix"), market feedback, and potential investment or startup opportunities.

Content creators & researchers : locate the latest community material and quotes for articles, videos, or reports, ensuring up‑to‑date and grounded content.

Curious developers & learners : efficiently track interests such as AI art or the Rust ecosystem, extract key insights, and build personal knowledge bases.

The tool also automatically saves each generated brief as a Markdown file in a local "documents" folder, creating a growing personal research archive.

5. Outlook: Specialized AI Agent Skills

The rapid adoption of last30days reflects a broader shift toward specialized, scenario‑driven AI agent skills. Future AI assistants may evolve from generalists to modular platforms where users install distinct "skill packs" to extend capabilities.

When AI can autonomously conduct multi‑step web research and synthesize information, it unlocks substantial productivity gains and offers a clear window into the next generation of AI interaction paradigms.