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A working Demo that acts as classifier to classify linkedin post which inside uses jev by Typesafe.ai
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Next.js demo that reads a draft social post and returns three typed reads from one Jev call: tone as a Choice, virality as a 0 to 3 Score, cringe risk as a Noul, plus a verdict stamp.
User repository on GitHub
A working Demo that acts as classifier to classify linkedin post which inside uses jev by Typesafe.ai
Repo stats from the GitHub API, cached Oct 2026.Homepage
Postmark is a tiny web app that reads your draft social post before you publish it and tells you how it might land. You paste in some text, hit one button, and it comes back with three honest reads: what tone you are giving off, how far it might travel, and whether it might make people cringe a little. It is meant to feel like asking a blunt friend, except the feedback comes back as clean numbers and bars you can actually use in code.
Quoted from the project's README. Read the full README.
Watch out
The author is explicit that this is a demo built to show structured answers, and the lib folder is empty. The rubrics are fixed input, not learned measurement: six named tone criteria, four ordered virality levels from Ignored to Breakout, and hardcoded 0.6 and 2.2 cutoffs that live in the client, where anyone can change them in devtools. No calibration data is published for any of the three scores. The tone question defines six criteria today while the README also claims a tone renamed upstream would appear without a code change, which is worth testing before relying on it. Upstream 429 and 529 pass through and other upstream failures map to 502, with the error shown under the draft box; no retry logic is documented. Copy reviewed against the repository README on 2026-10-04, not from running it.
Original write-ups on what this entry is for.
Posts from builders shipping with Jev right now.