Results

AI-Driven Conversion: Most users who generated a project plan during their trial converted to paid accounts
Improved Resource Management: Time tracking became the most-used daily feature, helping teams make better resource allocation decisions
Automated Billing: The paid subscriber base grew steadily post-launch, while automated plan changes reduced manual account management
Scalable Performance: The distributed architecture handled real-world loads while maintaining fast API response times
Reliable Cross-Platform Sync: Desktop and web stayed consistently synchronized, with real-time updates propagating across services

Technology Stack

Nest JSnext.jsmongodbelectronAWS(SES + S3)socket.iorazorpay

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Frequently Asked Questions

Kickly uses AI to turn a plain-language startup idea into an actionable project plan with structured phases, tasks, timelines, and resource estimates tailored to the project’s industry and team size.

Kickly uses WebSockets and Socket.io to synchronize tasks, messages, time entries, and project updates in real time, allowing team members to collaborate without manually refreshing or reconciling changes.

Kickly uses a shared backend and real-time communication layer to maintain synchronization between its desktop and web applications. Changes to projects, tasks, messages, and time entries are propagated across platforms so teams can switch devices without losing context.

Kickly separates AI workloads from its core application services using dedicated Python/FastAPI services. Celery and RabbitMQ handle AI generation and background jobs asynchronously, allowing resource-intensive workloads to scale independently as demand increases.

Kickly was built using React, Next.js, TypeScript, Electron, Node.js, Python/FastAPI, PostgreSQL, MongoDB, Redis, Socket.io, OpenAI API, Stripe API, Kubernetes, and AWS. This technology stack supports AI-powered planning, real-time collaboration, cross-platform applications, billing, and scalable backend infrastructure.

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