Autonomous NLP Intelligence

The End of Dashboarding.
Welcome to General AI.

For a decade, engineering leaders have been slaves to their data. That era ends today. Transform text prompts into full-scale engineering dashboards with prescriptive AI insights. Stop building, start leading.

✨

"Create a dashboard to benchmark our PR cycle time against our team's 6-month historical average..."

AI Insight Generated: Your team's average time in progress is 153.9h compared to the 28.6h historical benchmark. Top bottleneck detected at PR #1092.

Your Full-Stack Analytics Partner

Keypup isn't just a chatbot sitting on your data. It is an autonomous intelligence engine boasting four revolutionary capabilities.

Prompt-to-Dashboard

Forget drag-and-drop. Simply describe a business problem, and the Keypup AI Agent instantly creates an entire, multi-insight dashboard mapping GitHub and Jira logic automatically.

Automated Contextualization

Zero-config logic. Every insight comes fully loaded. The AI automatically sets correct timeframes, configures deep drilldowns, and writes the documentation explaining why it matters.

Deep Synthesis & Analysis

The AI performs a detailed post-game analysis of your metrics. It identifies hidden correlations—like Change Failure Rate vs. Review Participation—and narrates the story of your SDLC in plain English.

The Improvement Loop

The Holy Grail of Engineering Management. The AI suggests specific improvement actions, and autonomously creates a new monitoring dashboard specifically designed to track success over the next 30 days.

Why Keypup is
Unique

Traditional Engineering Intelligence tools follow a "Widget-First" philosophy. You are given a library of widgets and told to "Go build."

Keypup is NLP-First. We haven't just added a chat bubble to a static dashboard; we have rebuilt the core of Keypup to act as an Autonomous Intelligence Engine for modern leaders.

Feature Traditional Tools Keypup NLP
Setup Time Days / Weeks Seconds (1 Prompt)
Reporting Logic User-Defined AI-Synthesized
Actionability Descriptive Prescriptive
Documentation Manual Wiki Auto-Generated
Closing the Loop Manual Follow-up AI Auto-Monitoring
Radical Use Cases

Seeing the Future:
From Chat to Action

Transform hours of manual configuration into a 10-second prompt with our autonomous intelligence engine.

Velocity Benchmark Dashboard
Velocity & Performance Benchmark
DevEx Dashboard
DevEx & Flow Optimization
Shadow Work Dashboard
Shadow Work & Leakage
1

Continuous Velocity & Performance Benchmark

Benchmark Jira issue Cycle Time against your historical 6-month average. The AI dives into the issue level and maps it to specific GitHub PR metadata (size, review cycles) to find hidden drags on velocity and suggest actionable WIP limits.

Velocity Benchmark Dashboard
AI Sparkle
AI Recommendations
Processing Recommendations
  • Stale Item Cleanup: Issues like DP-607 and DP-1092 are heavily inflating your current cycle time. I recommend closing these if the work is no longer active or splitting them into smaller, manageable tasks.
  • Size Matters: Check the new Correlation Chart—if cycle times spike at the 300-400 LOC mark, enforce a “Small PR” policy to bring your current 153.9-hour average back down toward the 28.6-hour benchmark.
Custom To keep your velocity within the top 20% of your historical performance, I recommend:
  • WIP Limits: Use the “In Progress” list to flag any issue that hits 80% of your benchmark time.
  • PR Sizing: Based on the correlation chart, if you see cycle time spike significantly at a certain LOC threshold (e.g., >300 lines), implement a team policy to break down PRs before they reach that size.
  • Weekly Review: Review the “Above Benchmark” list during every sprint ceremony to unblock linked PRs before they stagnate.
2

DevEx & Flow Optimization

Adopt the SPACE framework instantly. AI synthesizes disparate data—Git commit timestamps, Jira transitions, and PR comments—to create heatmaps of activity, measure Flow Efficiency, and monitor burnout risk automatically.

DevEx Dashboard
AI Sparkle
AI Recommendations
Processing Key Recommendations
  • Enforce Smaller PRs: This is the single most impactful change. Reducing PR size to under 500 LOC will naturally improve Flow Efficiency, lower Review Time, and reduce the need for after-hours work.
  • Distribute the Review Load: Encourage other senior members (like twilliams-kp or adamaziz15) to take on more review responsibilities to alleviate the pressure on John Foo.
  • Investigate February’s Burnout Spike: Review the project timeline for February 2026 to see if that pressure was avoidable or if it’s likely to recur in the coming months.
3

Shadow Work & Roadmap Leakage

Detect "Orphan Commits"—GitHub activity not linked to any Jira issue. The AI calculates the exact "Cycle Time Tax" this untracked effort is putting on your roadmap, giving you the ammo to adjust scope and processes.

Shadow Work Dashboard
AI Sparkle
AI Recommendations
Processing Key Recommendations
  • Enforce Jira Linking: Consider implementing a Git hook or CI check to require a Jira key in commit messages for the DoeProj repositories.
  • Capture Maintenance in Jira: Even security patches and releases should be represented by “Maintenance” or “Release” issues in Jira to ensure the roadmap accurately reflects team capacity.
  • Analyze High-Leakage Periods: Review the events of November 2025 to understand what caused the 51-hour drag on cycle time and whether those types of requests can be better managed in the future.
  • Increase Visibility: This dashboard suggests that your team is working hard, but much of that work is “invisible” to stakeholders. Bringing this effort into Jira will improve both capacity planning and roadmap accuracy. 🕵️
Smart Fine-Tuning

Dashboard Templates,
Tailored to You

Standard dashboards don't always capture your unique workflows.

With our new AI Fine-Tuning, the AI keeps the template's core structure but intelligently adapts metrics, filters, and variables to match your team's specific habits and custom fields.

You can now select this AI experience during dashboard creation to skip the manual setup questions and let the AI automatically contextualize everything for you.

Trusted by Engineering Leaders

See why modern development teams rely on Keypup to ship faster.

"Keypup allowed us to extract a lot of information from Github that would not be easily accessible otherwise. The support has been great, and the ability to get on a call and go through dashboards I've built has been very helpful in unlocking new possibilities to use the product. We now see what our engagement looks like between members and non-members, allowing us to better understand and interact with our community."

Read their story

"We increased our YoY productivity by 45% and Keypup helped us identify our pain points and change the game faster. Their support is the best – they helped us understand which metrics would suit our needs, built dashboards for us, and explained them in detail to us. With Keypup I can now say that we really manage our Engineering teams."

Read their story

"I was genuinely impressed with Keypup, not only because of the ease and speed of integration with our tools but also because it provided immediate access to DORA and other key customizable metrics. The standout was the customer support — they swiftly provided a personalized dashboard that enabled me to comprehend and compute real-time metrics with remarkable ease."

Read their story

"Keypup is a highly useful and practical platform, boasting user-friendly features and lightning-fast report generation.

The service provided by customer support was excellent, showcasing their dedication to customer satisfaction. We are delighted to be part of the Keypup community."

Ready to stop building and start leading?

Join teams already using NLP to make data-driven engineering decisions faster than ever. Connect your stack and let our AI Agent take the wheel.