This is a submission for the GitHub Finish-Up-A-Thon Challenge
What I Built
We often hear:
- How do you avoid wasting a year? By not wasting a month.
- How do you avoid wasting a month? By not wasting a week.
- How do you avoid wasting a week? By not wasting a day.
The smallest actions compound into the biggest outcomes.
For years, project management software has helped individuals and teams organize their work. But despite all the tools available today, a lot of friction still exists between having an idea and turning it into meaningful action.
At the same time, software is being transformed by AI. We have moved beyond simply asking Large Language Models questions. The next evolution is AI agents that can understand intent, make decisions, and carry out tasks with minimal human intervention.
Flashtasks was built to help bridge that gap.
Flashtasks is an AI-powered project and task management platform designed to reduce friction and improve productivity for individuals, teams, and organizations. Instead of spending valuable time manually organizing thoughts, users can quickly transform ideas into structured action plans and focus on execution.
Key features include:
- Voice-to-Task conversion
- Messy Text-to-Task conversion
- Meeting Recording Uploads to Actionable Tasks
- AI-powered Task Prioritization
- Swipe Gestures for Faster Task Actions
- Team Management
- Organization Management
- Focus Mode for Deep Work
- AI-powered automation workflows for reminders, follow-ups, and task summaries
The long-term vision for Flashtasks is to evolve from a task management platform into an intelligent project management assistant capable of helping users manage work through autonomous AI-powered workflows.
As someone who has personally experienced the impact that strategic planning and execution can have on productivity, I wanted to build something that removes unnecessary friction and makes effective project management accessible to everyone.
Demo
Live Application: https://flashtasks.app
GitHub Repository: https://github.com/abel-otegbola/flashtasks
Screenshots
The Comeback Story
Flashtasks started as a simple task management application focused primarily on helping individuals keep track of their work.
During the Finish-Up-A-Thon, I focused on transforming it into a more complete productivity platform.
Some of the improvements included:
- Expanding from individual task management into team and organization collaboration
- Adding AI-powered task generation from voice notes, messy text, and meeting recordings
- Implementing task prioritization features
- Improving workflows for faster task creation and management
- Building the foundation for AI-driven automations
- Adding automation capabilities for reminders, follow-ups, and task summary generation
- Improving overall usability and reducing friction throughout the product experience
The project is still evolving, but the challenge provided the momentum needed to push Flashtasks significantly closer to its long-term vision of becoming an intelligent project management assistant.
My Experience with GitHub Copilot
GitHub Copilot played a major role in helping me move Flashtasks forward throughout this challenge.
As a solo builder working across product design, frontend development, backend development, automation workflows, and infrastructure, Copilot acted like a constant development partner.
It helped me:
Generate and refine application logic
Accelerate frontend implementation
Improve TypeScript migrations
Structure backend services and APIs
Debug issues faster
Explore implementation approaches for automation workflows
Iterate on ideas much more quickly than I could alone
One of the biggest advantages was the ability to stay focused on solving product problems rather than getting slowed down by repetitive implementation details.
The result was that I could spend more time improving the user experience, refining workflows, and pushing Flashtasks closer to the vision I originally had for the product.
GitHub Copilot significantly increased my development speed and helped turn unfinished ideas into working features throughout the Finish-Up-A-Thon journey.
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