AI can make web scraping super easy by letting users scrape information in plain English instead of complicated coding. This can help many more people access scraping tools.
It's important to track the costs of using AI for scraping. Choosing the right AI model can save money while still getting accurate results.
Benchmarking AI scrapers based on accuracy, runtime, and cost is essential. It helps users find the best tools for their specific scraping needs.
FetchFox is an AI-powered Chrome extension that makes web scraping easy for everyone, even if you can't code. Just a few clicks allow you to gather useful data from any website.
Traditional web scraping requires programming skills and can be time-consuming. FetchFox simplifies the process, letting anyone scrape data in minutes rather than hours.
FetchFox is designed to work like a human visitor, which helps it avoid being blocked by websites. This means it can extract data more effectively than traditional methods.
AI can quickly analyze news articles for bias, saving time compared to human assessment. It rates articles on a scale to determine if they lean left or right.
Mainstream outlets like CNN and NYT tend to show moderate left-wing bias, while Fox News has a stronger right-wing bias. Some sources like AP and Reuters are closer to neutral.
Bias in media can change over time. For example, CNN has become more left-wing recently, especially since the rise of Donald Trump, while Fox News has consistently maintained a right-wing stance.
The current equity model for Founding Engineers is unfair, offering them much less than the founders for similar risks and work. It's broken and needs a change.
Many startups give low equity but this doesn't motivate skilled engineers, who have better options elsewhere. Fair compensation is crucial to attract and keep talent.
Using crypto tokens for compensation could solve liquidity issues and provide fairer stakes for engineers, but it may scare off some candidates due to the risks associated with crypto.