mvanhorn

last30days-skill

AI#AI Agents#Search Engine#Python #Automation#Web Scraping

122

// summary

The last30days tool is an AI agent-led search engine that synthesizes real-time data from social media, developer platforms, and prediction markets to provide current insights. By bridging disconnected platforms like Reddit, X, GitHub, and YouTube, the agent scores information based on actual human engagement rather than traditional SEO metrics. It functions as an expert research assistant that delivers concise, evidence-based briefs on any topic, person, or company from the past month.

// technical analysis

/last30days is an AI agent-led search engine designed to synthesize real-time information from fragmented social and professional platforms, prioritizing community engagement over traditional SEO. By bridging walled gardens like Reddit, X, GitHub, and Polymarket, the project allows users to bypass stale editorial content in favor of current, crowd-sourced insights. Its architecture utilizes a pre-research brain to resolve entities and context before executing parallel searches, ensuring that the synthesized output reflects what is culturally and technically relevant at the moment.

// key highlights

Aggregates data from diverse sources like Reddit, X, GitHub, and Polymarket to provide a holistic view of current trends.

Uses an intelligent pre-research engine to resolve topics into specific handles, subreddits, and hashtags before searching.

Scores content based on real-world engagement metrics such as upvotes, likes, and financial stakes rather than static search rankings.

Merges cross-platform discussions into unified clusters to eliminate redundant information and highlight the core narrative.

Includes a specialized GitHub person-mode that analyzes PR velocity and release activity to provide deep insights into individual developers.

Features an ELI5 mode that allows users to toggle between technical depth and plain-language summaries on demand.

// use cases

Conducting comprehensive research on individuals or companies before meetings by aggregating recent social posts, GitHub activity, and transcripts.

Comparing technical tools or products using live data such as GitHub star counts, community discussions, and developer consensus.

Tracking breaking news and cultural trends by synthesizing parallel updates from multiple platforms into a single, ranked narrative.

// getting started

To begin, install the skill via your preferred agent framework using commands like '/plugin marketplace add mvanhorn/last30days-skill' for Claude Code or 'clawhub install last30days-official' for OpenClaw. Once installed, the tool works immediately for core sources like Reddit and GitHub, with a setup wizard available to configure additional platforms like X or TikTok in under 30 seconds. Simply type '/last30days [topic]' to initiate your first research brief.