18 Interest Score
9 Discussions
0.50 Engagement
Oct 2025 Launched
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Precision Praise makes recognition fun and bias-free. Swipe right to give specific, AI-nudged praise, stay anonymous, and build habits through gamification. Turn vague compliments into precise kudos that boost motivation and culture.

What the Community Said

Hey Product Hunt 👋 I’m Alireza, founder at Catch Up AI's Precision Praise. We built this because: • Too much praise is vague — it doesn’t reinforce what actually matters. • We wanted to guide people to recognize real skills, actions, and impact. • and we wanted it to be fast and engaging So we added: • Swipe right / left for simple praise or skip • AI crafted statements and Colleagues selected to help you praise precisely • Anonymity so feedback is honest and bias-free • Gamification — streaks,

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I’ve been using Precision Praise with my team for the past couple of weeks and it’s honestly a game changer. Giving feedback feels natural and quick no one has to type long messages anymore, and people actually enjoy doing it. The daily coins make it fun, and the insights help me see who’s getting recognized most. It’s the first recognition app that truly feels designed for real teams, not HR dashboards

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Our team uses it in Slack — it’s crazy how natural the AI feels. Like it gets our tone 👏

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It’s often difficult to notify managers in time about team members’ strengths and weaknesses. Even when you notice something early, they’re usually too busy or ask for proof. Catch Up AI has become my go-to tool for this. As an architect working with many different managers, directors, and project teams, it helps me clearly explain why a certain team member should be added to a project or reassigned to a different area and it’s been a total game changer!

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Looks like you're tackling one of the most persistent problems in team feedback, turning vague “good job”s into meaningful, actionable recognition. Awsome

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Frequently Asked Questions

Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

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