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p/jevtown
by
Ivan Gabor
•
2d ago
What's new in Jevtown: why the town passed, your own audience, and an MCP server
... them. For a post, those who stopped also say what they would comment. The page splits the reasons into ones about the text and ones about the audience, so you can tell a weak opening from the wrong readers.
Jev
also answers a few yes or no questions about the text itself: Is there a concrete number, name or example? Is it clear what the reader should do? For a listing, does the first sentence say what is for sale ... ... work in IT and are into startups" is 238 people, "people over 60" is 1,398. The town has no data on cities or company stages, so words about those do not count. The Audience tab shows how
Jev
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p/producthunt
by
Gabe Perez
Featured
•
11h ago
Introducing Hypership Day! Build fast and ship same-day on Product Hunt.
... months, submit your launch by midnight Sep 30. Schedule it here: https://www.producthunt.com/post... Be prepared to build and ship multiple features in real-time. Appropriately, given the speed theme, we've partnered with TypeSafe AI, makers of @
Jev
, a frontier model at real-time speed, and @Supabase . Prizes will include
Jev
5
16
p/general
by
Steven Hacker
•
6d ago
Has anyone put Jev in a real product yet, or is this still a waitlist toy?
... TypeSafe launched
Jev
last week. It is a System One model meant for typed decisions inside software (classify, route, score, extract, branch), not chat. I am not on the team. I am trying to figure out if this actually changes how products get built, or if it is just another structured output wrapper with better marketing. The pitch in plain terms: you give it unstructured state, you define the output schema up front, you get calibrated probabilities back in tens ...
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