AI-Powered GitHub Analysis is a tool designed to provide personalized feedback on your GitHub profile, helping you land your dream tech job through real projects.
Automatically highlights your technical abilities, adapts to different roles, and showcases the projects and skills most relevant to employers.
Offers a customized view of available challenges and projects tailored to your skills and interests.
Allows users to enter their GitHub profile URL to receive personalized feedback based on key metrics, showing how their profile appears from a recruiter's perspective.
Generates a summary of the user's GitHub activity for a specific year, allowing them to download and share a Wrapped Card with highlights of their achievements and contributions.
Offers real-world startup challenges in various technical areas, letting users solve real business problems and gain hands-on experience.
Enables users to display completed challenges as part of their portfolio, proving their capabilities to potential employers.
Allows users to quickly sign up and post their tech or design challenges. Valyfy guides them on scoping it to ensure clarity and feasibility.
Students or new grads compete to deliver their best prototypes, code, or designs, giving companies real solutions to review.
Companies can pick the best solutions, offer feedback, and extend job offers if a contributor stands out, helping them build their projects and teams.
Offers personalized feedback using the Chess.com API to analyze user game statistics and recommend targeted practice, built in Python for advanced analytics.
Developed using TypeScript and React, this platform allows coaches to manage video content with scalable storage solutions enabled by Firebase.
A Python-based tool for visualizing projectile motion with real-time interactivity using Pygame to create educational simulations.
Displays various student projects including stock prediction models, movie recommendation systems, bookstore websites, and robotic systems to highlight technical skills.
Connects users with communities such as Zero Gravity to provide mentoring and opportunities for students overcoming systemic inequalities.
Gathers user preferences such as location, favorite sports, age, and gender to dynamically recommend sports sessions best suited for the user.
Provides visually appealing cards with details like sports name, time, location, game size, price, and available slots, with filter options for date, proximity, and type of sport.
Utilizes the Stripe API for secure and efficient payment processing within the platform.