Last30 Deep Research

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name: last30 version: "1.1.0" description: "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." homepage: https://github.com/ralphoei/last30 author: ralphoei license: MIT original-author: mvanhorn original-repo: https://github.com/mvanhorn/last30days-skill metadata: clawdbot: emoji: "📰" requires: env: - BRAVE_API_KEY bins: - python3 - node files: - "scripts/*" tags: - research - deep-research - reddit - x - twitter - youtube - hackernews - hn - polymarket - web-search - trends - recency - news - citations - multi-source

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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:

📰 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

/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

📰 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

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