PostyAI
A LinkedIn post generator that scores the draft it just wrote, so the guess about engagement happens before you publish.
Role Solo, AI/ML and full-stack Year 2024 Stack Flask, LangChain, Groq, scikit-learn Source on GitHubEvery AI writing tool will hand you a post. None of them will tell you whether it is any good.
PostyAI writes the draft, then runs it back through a model trained on engagement outcomes.
That score is a Random Forest over 60 plus features: readability, sentiment, hook structure, emoji and hashtag density.
It was the best of nine candidates I trained. The other eight did not ship.
70%
Engagement-class accuracy, Random Forest
60+
Features extracted per post
2.4s
Average generation time, measured in-product
9
Models trained. One shipped.
Four inputs, and no prompt box
Dropping the free-text prompt was the decision that made the rest work.
A model cannot score a draft whose shape changes on every run, so constraining the input is what made it measurable.
Nobody writes one post
Content work arrives as a campaign, so batch generation produces a set against the same settings and scores each one.
You pick from five instead of regenerating until something lands.
70% accuracy means nothing without the baseline it beat, and that is the first thing I would publish.
The second is an explanation. The engagement score is a bare number, and a number you cannot interrogate is one you stop trusting.