Last30 Deep Research

Deep research across Reddit, X/Twitter, Hacker News, YouTube, Polymarket, and the web from the last 30 days. Synthesizes findings into a grounded, cited briefing. Use when: researching trends, doing competitive analysis, answering 'what's the latest on X', or comparing tools/products.

last30 — Research Any Topic from the Last 30 Days

Attribution: Simplified port of mvanhorn/last30days-skill (v2.9.5) by @mvanhorn. Original uses ScrapeCreators API for Reddit/TikTok/Instagram; this port uses free public APIs (Reddit JSON, HN Algolia, Brave Search) for a lightweight, zero-API-key setup.

Research any topic across Reddit, X/Twitter, Hacker News, YouTube, Polymarket, and the web. Surface what people are actually discussing, recommending, debating, and betting on right now.

Trigger Phrases

• /last30 [topic]
• research [topic]
• what's trending in [topic]
• [topic] vs [topic]
• /last30days [topic]

Prerequisites

• BRAVE_API_KEY env var must be set (web search)
• AUTH_TOKEN + CT0 env vars (optional, for X search via bird)
• summarize skill available for YouTube transcripts

Parse User Intent

Before running any tools, parse the input:

1. TOPIC: What they want to learn about
2. QUERY_TYPE:
   • RECOMMENDATIONS — "best X", "top X", "what X should I use"
   • NEWS — "what's happening with X", "X news"
   • COMPARISON — "X vs Y", "X versus Y"
   • GENERAL — anything else

Display your parsing:

text

📰 Researching: {TOPIC}
Type: {QUERY_TYPE}
Sources: Reddit, X, Hacker News, YouTube, Polymarket, Web

Starting research (2-5 min)...

Quick Mode

Use --quick for faster, fewer results:

• 10 results per source instead of 25

Deep Mode

Use --deep for comprehensive research:

• 40 results per source
• Full synthesis

Usage Examples

text

/last30 AI video tools
/last30 best CRM software
/last30 figma vs canva
/last30 openai news --deep
/last30 rust vs go --quick

How It Works

1. Reddit — queries reddit.com/r/[subreddit]/search.json by relevance
2. X/Twitter — uses bird (xurl) for recent posts
3. Hacker News — queries hn.algolia.com API
4. YouTube — runs summarize skill for video transcripts
5. Polymarket — queries polymarket.com API for active prediction markets related to the topic
6. Web — Brave Search API

Results are scored by engagement signals, cross-platform convergence is detected, and a synthesis is generated with inline citations.

Output Format

text

📰 Research: {TOPIC}
Date: {date} | Sources: Reddit, X, HN, YouTube, Web

## Key Findings
- [3-5 bullet points with citations]

## What People Are Saying
[Synthesis of top findings across all sources]

## YouTube Insights
[Video titles, channels, key moments]

## Reddit Discussions
[Top threads, top comments, upvote counts]

## X/Twitter Perspective
[Key posts, handles, engagement]

## Polymarket Insights
[Active prediction markets, consensus odds, question clarity]

## Web Findings
[News, blogs, tutorials discovered]

## Stats
- Reddit: {n} results
- X: {n} results
- HN: {n} results
- YouTube: {n} results
- Polymarket: {n} results
- Web: {n} results

Saved to: ~/Documents/Last30Days/{topic-slug}.md

Environment Variables

Variable	Required	Purpose
BRAVE_API_KEY	Yes	Brave Search for web results
AUTH_TOKEN	No	X/Twitter cookie auth for bird
CT0	No	X/Twitter cookie auth for bird

Auto-Save

Every run saves a .md file to ~/Documents/Last30Days/ with the full briefing. Filename: {topic-slug}-{date}.md