Score your Product Hunt description

ML models trained on 23k+ real Product Hunt launches. Get your probability score in seconds.

What the model looks for in Product Hunt descriptions

Competition level: Very High. Success criteria: Making the daily leaderboard.

• Specific audience targeting in the first sentence

  Leaderboard posts name who the product is for before explaining what it does.

• Concrete outcomes (not vague benefits)

  Replace generic claims like save time with measurable results such as hours cut or cost reduced.

• Novel angle without buzzwords

  Differentiate with a specific capability instead of broad AI or automation language.

• No generic superlatives (powerful, seamless, intuitive)

  Our model penalizes filler adjectives that appear in low-performing Product Hunt descriptions.