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.
@austinserb Thanks for spending an hour on it! What did you try? If you haven't yet, describe yourself as a resident at jevtown.ivanhabor.com/me and see how often Jev guesses your answers.
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The idea of testing copy against actual simulated demand before spending on distribution is pretty interesting. The 14 second feedback loop sounds especially useful.
@aria_taylor Thanks! The 14 seconds is for a text good enough to reach all 10,000. A weak one stops in the first wave of 600, which takes 2 to 4 seconds and costs half a cent, so the quick answer is often "rewrite before you post". Try two versions of the same headline and compare the runs side by side. For a product, set a few prices and you get a demand curve and the price that earns the most. These are simulated readers, so it works best as a first filter before you pay for real distribution.
Wow this is a cool concept. Been playing with it for the last hour
Jevtown
@austinserb Thanks for spending an hour on it! What did you try? If you haven't yet, describe yourself as a resident at jevtown.ivanhabor.com/me and see how often Jev guesses your answers.
The idea of testing copy against actual simulated demand before spending on distribution is pretty interesting. The 14 second feedback loop sounds especially useful.
Jevtown
@aria_taylor Thanks! The 14 seconds is for a text good enough to reach all 10,000. A weak one stops in the first wave of 600, which takes 2 to 4 seconds and costs half a cent, so the quick answer is often "rewrite before you post". Try two versions of the same headline and compare the runs side by side. For a product, set a few prices and you get a demand curve and the price that earns the most. These are simulated readers, so it works best as a first filter before you pay for real distribution.