Before submitting
Problem statement
Currently, users can browse coding resources, interview preparation materials, and learning content, but there is no structured way to save topics that require future revision. Learners often revisit the same concepts multiple times before mastering them, and relying on browser bookmarks or memory makes the process inefficient.
As a result, users may lose track of important resources they intended to review later, reducing the effectiveness of their learning journey.
Proposed solution
Introduce a Smart Revision Queue feature that allows users to categorize resources into:
Review Later
Need More Practice
Mastered
A dedicated Revision Queue section can display all saved items along with filtering options and quick progress statistics.
The data can initially be stored using localStorage, making the feature fully frontend-driven.
Alternative solutions considered
Browser bookmarks
Favorites-only functionality
Recently viewed resources section
While these approaches help users save content, they do not provide a structured revision workflow or learning progress management experience.
Use case or motivation
A user preparing for technical interviews may encounter multiple DSA topics in a single session but only have time to study a few of them.
With a Smart Revision Queue, they can quickly mark topics for later review and return to them through a centralized dashboard rather than searching for them again.
This benefits:
Interview preparation users
Students learning new technologies
Users following structured learning paths
References or mockups
Example UI:
📚 Revision Queue
Binary Search (Need Practice)
Sliding Window (Review Later)
React Hooks (Mastered)
Statistics:
Pending Reviews: 5
In Progress: 3
Mastered: 12
Additional context
No response
Before submitting
Problem statement
Currently, users can browse coding resources, interview preparation materials, and learning content, but there is no structured way to save topics that require future revision. Learners often revisit the same concepts multiple times before mastering them, and relying on browser bookmarks or memory makes the process inefficient.
As a result, users may lose track of important resources they intended to review later, reducing the effectiveness of their learning journey.
Proposed solution
Introduce a Smart Revision Queue feature that allows users to categorize resources into:
Review Later
Need More Practice
Mastered
A dedicated Revision Queue section can display all saved items along with filtering options and quick progress statistics.
The data can initially be stored using localStorage, making the feature fully frontend-driven.
Alternative solutions considered
Browser bookmarks
Favorites-only functionality
Recently viewed resources section
While these approaches help users save content, they do not provide a structured revision workflow or learning progress management experience.
Use case or motivation
A user preparing for technical interviews may encounter multiple DSA topics in a single session but only have time to study a few of them.
With a Smart Revision Queue, they can quickly mark topics for later review and return to them through a centralized dashboard rather than searching for them again.
This benefits:
Interview preparation users
Students learning new technologies
Users following structured learning paths
References or mockups
Example UI:
📚 Revision Queue
Binary Search (Need Practice)
Sliding Window (Review Later)
React Hooks (Mastered)
Statistics:
Pending Reviews: 5
In Progress: 3
Mastered: 12
Additional context
No response