AI-powered code contributions analytics app featuring Performance Reviews, Retrospective Meeting Insights, Alerts, Gamification and much more!
Code Contribution Analytics with AI and Gamification
AI-powered code contributions analytics app featuring Performance Reviews, Retrospective Meeting Insights, Alerts, Gamification and much more!
Hey, devActivity is for software dev teams, engineering managers, software project manager who'd like to - supercharge the working process with transparency, - engage the team with gamification, - save time doing Performance Review and Retrospective Meetings with AI Insights, - gather Peer Feedback easily Install the app for GitHub to start, no manual input, no maintenance, all on autopilot. Free for open source projects and for teams up to 7 contributions. You're welcome to check Live Demo - ht
The AI-powered analytics and gamification features seem perfect for boosting team performance and engagement. Quick question: How customizable are the gamification features? And how does it handle peer feedback for remote teams?
Hey Oleg, How does the AI generate insights for retrospectives. What kind of patterns does it look for? What types of achievements or rewards have you found to be most motivating? Congrats on the launch!
Congrats on the launch. I like that this offers some valuable tools for software development teams to enhance transparency, engagement, and efficiency. Best of luck.
@oleg_cherevatyy, big ups on launching devActivity! liked the mission, seems like a proper tool that will thrive in aiding dev teams for transparency, gamification and use of AI insights.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
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.