Keypup Gen AI - Stop building dashboards. Start prompting. Take Actions.

Passive engineering dashboards are dead. Keypup Gen AI is the first autonomous SDLC diagnosis platform. What makes us different? - Plain English NLP: No SQL or rigid charts. Just ask questions about your Git, ADO, Jira data & more. - Active Diagnosis: We don't just visualize data; our AI actively pinpoints delivery bottlenecks. - Prescriptive Fixes: The agent prescribes actionable solutions and monitors team improvement. Stop building dashboards. Start prompting to reach Elite DevOps.

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Hey Product Hunt! 👋 I’m Stephane, co-founder & CEO here at Keypup, and I am incredibly excited to share our biggest evolution yet: Keypup Gen AI. -- The Problem we set out to solve If you manage an engineering team, you know the pain of trying to track SDLC and relevant metrics. You end up spending hours wrestling with Jira mappings, GitHub APIs, and SQL queries just to figure out why a sprint is lagging. We looked at the engineering analytics industry and saw a glaring flaw: the tools give you passive charts, but they leave you to guess what the data actually means. We were drowning in data, but starving for diagnosis. -- How our approach evolved Honestly, we started out trying to solve this by simply building better dashboards. But after talking to hundreds of CTOs, Engineering Managers, and Tech Leads, we had a massive realization: nobody actually wants to build dashboards. What they really want is to just ask a question and get a solution. That "Aha!" moment completely changed our trajectory. We realized we needed to shift from passive visualization to active intelligence. --> Enter Keypup Gen AI That realization inspired us to build the first autonomous NLP Engineering Intelligence platform. We threw out the complex configuration menus. Now, you just ask our AI Agent in plain English: "Why did PR merge time increase this week?" The AI doesn't just draw a chart. It aggregates your Git and Jira data, deeply analyzes the bottleneck, prescribes an actionable fix, and sets up a monitor to track the improvement. (Hence our new motto: Stop building dashboards. Start prompting.) -- We need your help! We are incredibly proud of this new platform, but building an AI that truly understands the nuances of engineering workflows is an ongoing journey. That’s where this amazing community comes in. We would absolutely love for you to take it for a spin. Put it to the test—ask it the hard questions about your SDLC, see what it finds and share with us your thinking! I will be hanging out here in the comments all day. What features do you love? What could be smoother? How do you currently handle your SDLC bottlenecks? I can't wait to hear your feedback! Let's chat. 👇