Ever wish your AI could instantly scroll the freshest chatter across X, Reddit, TikTok, and beyond?
The Simple Version
Most LLMs can’t read the latest posts on social sites because the platforms block them. Last30Days sidesteps this by acting as a middle‑man that fetches fresh data and feeds it to your AI.
How It Actually Works
Blocked Platforms
X, Reddit, TikTok, Instagram, YouTube, and others restrict AI crawlers to protect user data. Last30Days gets around these blocks by using official APIs and careful scraping.
Data Fusion
The tool pulls from dozens of sources — X, Reddit, TikTok, GitHub, Techmeme, research papers, Polymarket — and stitches them into a single, up‑to‑date snapshot for the AI.
Technical Deep Dive
Architecture Overview
Last30Days runs as a scheduled job (cron) that calls API endpoints, stores raw HTML, and normalizes the content. It then passes the cleaned text to an LLM via a simple API.
Key Code Concepts
Developers use API keys for platforms like X and Reddit, and they employ Scrape Creators to handle site‑specific parsing. Results are cached and can be inspected in “Doctor mode” to verify correctness.
Why This Matters
Real‑time social data is a goldmine for prompt engineering, market research, and rapid product validation. By giving LLMs access to the latest community signals, teams can build smarter agents that adapt instantly to trends.
Key Takeaways
- LLMs are often blocked from major social platforms.
- Last30Days aggregates fresh data from multiple sources.
- It uses API keys, scraping, and cron‑driven workflows.
- Developers can inspect and verify results with “Doctor mode”.
- The tool enables up‑to‑date prompt and product research.
- Open‑source code is available on GitHub for customization.