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AI/ML2026-04-27

X Daily Report: AI-Powered Twitter Intelligence for the AI Community

Following 200 AI researchers on Twitter is noise. This skill scrapes the most active, highest-signal AI accounts, ranks their posts by engagement and novelty, and delivers a structured daily digest — so you stay informed without doomscrolling.
Quick Access
Install command
$ mrt install twitter
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X Daily Report: AI-Powered Twitter Intelligence for the AI Community

TL;DR

X Daily Report aggregates posts from a curated list of top AI researchers, company accounts, and paper authors — uses an LLM to rank posts by novelty and information value — and outputs a structured daily digest with categories: research papers, hot takes, product launches, hiring, events.

The 10-Second Pitch

  • **Curated AI account list** — pre-loaded with 300+ high-signal AI Twitter accounts
  • **LLM-powered ranking** — ranks posts not by engagement but by information novelty
  • **Structured digest output** — JSON or Markdown, categorised by topic
  • **Daily email or Slack delivery** — optional push to email or Slack channel each morning
  • **Filter by subtopic** — AI safety, LLMs, robotics, hardware, startups
  • **Free tier** uses the free X scraper mode; paid tier uses the official X API

Setup in 2 Steps

1. **Install and configure:**

npm install -g x-daily-report

x-daily-report configure --accounts ./ai-accounts.txt

2. **Set your digest delivery:**

digest:

format: markdown

delivery:

  • type: slack

webhook: your_slack_webhook

channel: "#ai-news"

time: "08:00 UTC"

filters:

include_topics:

  • LLMs
  • AI safety

exclude_topics:

  • memes

3. **Run or schedule:**

x-daily-report run # one-shot

x-daily-report serve # runs daily via cron

**Prompt to test it:**

Give me today's AI Twitter digest for topics: LLMs, AI safety. Show me the top 5 most novel posts with engagement stats.

Why This Beats the Algorithmic Feed

The algorithmic X feed is designed to maximize engagement, not information value. A flame war between two ML researchers will outrank a genuinely important paper announcement. The LLM ranking in this tool explicitly penalises high engagement + low novelty (flame wars, dunking) and rewards direct links to papers, repositories, or blog posts.

Pros / Cons

ProsCons
Curated signal vs. algorithmic noiseX scraping is legally ambiguous
LLM ranking is genuinely better than engagementFree tier has low rate limits

Verdict

If you are an AI practitioner and you rely on Twitter for staying current, the algorithmic feed is actively costing you time and accuracy. X Daily Report turns Twitter into a research intelligence tool.

Structured digest saves significant timeAccount list requires manual curation