SaaS Platform · AI-Powered

FlowBoard Project Management

Category
SaaS Platform
Stack
Next.js · AI · MongoDB
Target
Engineering Teams
Timeline
6 Months
Overview

Project Management That Thinks With You

FlowBoard was built for engineering teams who found existing PM tools either too rigid or too chaotic. They needed something that understood how engineers actually work — with sprint cycles, velocity data, and tasks that often shift in priority mid-week.

The AI layer takes care of task prioritization based on deadlines, team velocity, and blockers — so leads spend less time triaging and more time building.

AI
Task Prioritization
Real-time
Collaboration
Sprint
Velocity Tracking
GitHub
Integration
App Preview

The Kanban Board, Reimagined

Board
Backlog
Sprint
Reports
Sprint 14 · 6 days left
Workspace
⚡ Sprint Board
📋 Backlog
📈 Velocity
🤖 AI Insights
🔗 Integrations
⚙️ Settings
3 teammates online
Backlog4
Migrate auth to JWT + refresh tokens
backendSA
Add dark mode toggle
frontendLM
To Do3
Build AI priority scoring engine
🤖 AI Suggested · High Priority
aiJD
Set up Stripe billing webhooks
backendSA
In Progress2
Redesign dashboard layout for mobile
frontendLM
Done5
Set up CI/CD pipeline with GitHub Actions
✓ Completed
Database schema v2 migration
✓ Completed
API rate limiting implementation
✓ Completed
Features

Built for How Teams Actually Work

🤖

AI Task Prioritization

The AI engine analyzes deadlines, team capacity, and blockers to automatically suggest priority order — updated in real time as conditions change.

📊

Sprint Velocity Tracking

Story point burndown, velocity trends over sprints, and predictive analytics that forecast whether the team will hit their sprint goal.

Real-Time Collaboration

WebSocket-powered live updates — see teammates' cursors, card edits, and status changes instantly without refreshing.

🔗

GitHub Integration

Link PRs and commits to cards. Cards auto-move to "In Review" when a PR is opened, and to "Done" when merged.

📅

Sprint Planning Mode

Drag backlog items into sprints with capacity visualization. AI suggests which items to include based on historical velocity data.

🔔

Smart Notifications

Context-aware alerts that only ping you when it genuinely matters — blockers on your cards, @mentions, and sprint deadline warnings.

Outcomes

Teams Ship Faster

+31%
Sprint completion rate improvement in teams using AI prioritization for over 3 months
-40%
Time spent in planning meetings when AI handles initial sprint backlog sorting
Faster onboarding for new team members compared to legacy project management tools

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