React2 Integrations

Gumlet Video enables you to host, secure, and stream videos to either a vast audience or a select few within minutes, while allowing for the creation of tailored video processing and delivery solutions through its Video API. Additionally, Gumlet Image facilitates the automatic optimization and distribution of images at scale across various websites and applications. With a reputation built on the trust of over 10,000 businesses and creators globally, Gumlet manages an impressive 1.5 billion media files on a daily basis, achieving a notable optimization rate of 54%. Gumlet Video streamlines the video delivery process by simplifying custom streaming with minimal coding requirements and ensuring superior compression without a loss in quality. It also enhances video management by providing a unified platform, harnesses automation through APIs, SDKs, and webhooks, and offers valuable analytics to boost return on investment, all while enabling RTMP live streaming in just minutes. On the other hand, Gumlet Image Optimization makes image enhancement effortless by automatically resizing and compressing images, seamlessly integrating to improve user experience and SEO benefits, and leading the way with the world’s first auto-responsive resizing feature. Moreover, it employs AI automation to give users control over every aspect of their images. Founded in 2019 in Singapore by Aditya Patadia and Divyesh Patel, Gumlet was born from the innovative spirit of its creators, who were instrumental in the success of Turing Analytics, a trailblazing AI startup known for its advancements in artificial intelligence. Their mission is to continue transforming the media landscape with cutting-edge technology solutions.

Localize's no-code translation management solution enables countless forward-thinking teams to create multilingual experiences in mere minutes rather than taking several months. By integrating automation and artificial intelligence, Localize revolutionizes the outdated translation methods, simplifying the process to eliminate manual interventions and making it accessible for everyone. Designed for speed and scalability, Localize proves to be invaluable when: - Automation plays a pivotal role in the translation workflow - Smooth integration with current technologies is essential - Reducing expenses and ensuring rapid launch times are critical objectives - Workflows are required to be user-friendly for team members without technical backgrounds Renowned enterprises such as Atlassian, Intuit, Cisco, Discord, Afterpay, and Canva rely on Localize to enhance their global reach and achieve remarkable success in their endeavors. This platform not only addresses the immediate needs of businesses but also equips them for future growth in a competitive landscape.

Work collaboratively on coding projects with interviewers, peers, and classmates at any time and from any location. This user-friendly, real-time code-sharing application leverages Firebase Realtime Database, utilizes CodeMirror for editing, employs WebRTC for video conferencing, and incorporates Witeboard for joint drawing activities. Users can seamlessly write code, participate in video discussions, and create sketches together. The concept for this application was inspired by the notion that interviews should involve interaction beyond just spoken dialogue, allowing candidates to exhibit their thought processes visually as well. My goal was to design a platform that empowers interviewers to present their coding strategies while using a virtual whiteboard for enhanced clarity. The application is constructed using React, employs Firebase for its real-time database features, utilizes CodeMirror for text editing, and integrates WebRTC and sockets for live video chat alongside Witeboard. While there are some existing bugs and certain features that are still being refined, users can conveniently save their progress by bookmarking the link, allowing them to easily return to their code and drawings at a later time. This functionality ensures that collaboration and referencing prior work are both straightforward and efficient. Additionally, the application aims to foster a more engaging and productive environment for coding discussions.