Write a post, a listing, a product or a headline, and 10,000 computed AI residents read it. The 600 it should matter to see it first, and it reaches the next 1,500 only if more readers were glad than annoyed, so a weak text dies for half a cent and a good one reaches everyone in 14 seconds. You get who stopped, liked, reposted or blocked, by interest, job, age, city and budget; the questions buyers would ask a listing first; and a demand curve over a product's price ladder. No sign-in.
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Launch Team
Context.devAPI to scrape anything for AI, 20,000+ developers trust us.
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Wordtune
Jevtown
This is in now. When a check finishes, the town is asked why. The people who scrolled past or got annoyed each pick a reason, such as "not for them", "the opening does not hook", "hard to believe" or "off-putting tone". The page then splits the answers into those about the text and those about who was reading it, so you can tell a weak hook from the wrong audience. The Got annoyed tab names the group most often annoyed, and the people who liked it say what stopped them.