Show HN: Meter – Scrape sites and keep content in sync automatically (no LLM) (www.meter.sh)

Meter, a new AI-powered web scraping tool, has been launched to optimize data syncing by detecting only meaningful content changes rather than superficial layout updates. This significant advancement aims to improve efficiency for developers and businesses by dramatically reducing embedding costs—potentially by up to 95%. Meter operates in three steps: it uses a language model once to generate a scraping strategy, then relies on raw scraping techniques for consistency and speed. The tool intelligently avoids irrelevant elements like ads and timestamps, focusing solely on valuable content changes, which are pushed in real-time to the user's webhook or can be polled via API. The implications for the AI and machine learning community are noteworthy, especially for those relying on vector databases that require timely and accurate data. Meter enables users to significantly reduce the time and resources required for scraping by automatically handling selectors, error management, and monitoring for content updates. The automated change detection system allows teams to keep their data models current with minimal overhead, thus saving operational costs while enhancing the accuracy of their data-driven applications. As Meter offers free trials during its beta phase, it presents an accessible entry point for developers eager to streamline their web scraping processes.