
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.
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:
- memes3. 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.
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 |
|---|---|
| Curated signal vs. algorithmic noise | X scraping is legally ambiguous |
| LLM ranking is genuinely better than engagement | Free tier has low rate limits |
| Structured digest saves significant time | Account list requires manual curation |
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.