SkimIt

SkimIt turns your inbox into a summariser: email an article link to go@SkImIt.ai and an AI summary comes back in around ten minutes, with no app or signup. Built on OpenAI's GPT and described by its makers as a hackathon project, it is a fast, casual way to skim long reads, though accuracy is not guaranteed.

SkimIt is a deliberately minimal reading shortcut: instead of installing an app or creating an account, you send an article URL to go@SkimIt.ai and receive an AI-generated summary by return email. The service reads the first URL in the body of your message and replies in roughly ten minutes, though the team warns that busy periods can stretch the wait to about fifteen. The subject line and signature are ignored, which keeps the whole workflow to one action: paste a link, hit send. The tool is aimed at people who collect more reading material than they can get through. Newsletters, long essays, Medium posts and company blogs all qualify, and the site offers a handful of sample articles you can request with a single click to see the output before committing. A sharing feature lets you CC colleagues or friends on the request; they receive the original article from you plus a separate summary from SkimIt, which makes it a lightweight way to circulate a piece you want people to skim rather than read in full. Under the hood, the summaries are produced with OpenAI's GPT models combined with email handling and web scraping. The builders describe SkimIt as a hackathon project rather than a polished product, and they are upfront that generative AI can make mistakes. Their own guidance is to treat the output as entertainment and not as a dependable account of the source. Data handling is narrow by design: the sender's address, any CC'd addresses and the first URL in the email are stored, and nothing else from the message is kept. Compared with summariser apps and browser extensions, SkimIt trades features for zero setup. There is no dashboard, no article library, no adjustable summary length and no visible pricing on the homepage. It suits casual skimming and quick link sharing; anyone who needs archiving, team accounts or verifiable accuracy should look at more established summarisation tools.