PulseBoard — Case Study by Aniruddh Atrey | AI Engineer, Full Stack Developer & Cybersecurity Expert
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ANIRUDDH ATREY
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Product Manager & Engineer · 2025

PulseBoard

Internal Product (MetaMinds)

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01

The Challenge

Engineering managers running multiple sprints across tools like Jira, Trello, and Slack had no unified view of project health. Deadline risks were discovered late, workload imbalances went unnoticed, and status updates required manual aggregation.

02

The Approach

Applied RICE prioritization to identify the highest-impact features, then designed a cross-tool integration layer that pulls real-time data from project management platforms. Built an ML-based risk predictor using historical task completion patterns.

03

The Solution

  • Cross-tool integration pulling live data from Jira, Trello, and Slack APIs
  • ML-based deadline risk predictor analyzing task completion velocity trends
  • Team workload visualization with automated load-balancing suggestions
  • SQL-backed reporting engine with customizable dashboards
  • RICE-prioritized feature roadmap and go-to-market strategy
04

The Impact

0% Faster Status Updates
0+ Tools Integrated
0% Risk Prediction Accuracy
0% Deadline Improvement

Tech Stack

React Node.js SQL REST APIs ML Product Management
“PulseBoard proved that product management tooling needs consolidation, not more fragmentation — a single dashboard that predicts problems before they become crises.”
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