Team News Riveting
Mumbai, October 21
Scaler (by InterviewBit), one of the fastest-growing tech upskilling startups, has announced the acquisition of online learning platform Coding Minutes for USD 1 million in an all-cash deal.
This is the second acquisition for the edtech startup. In August, Scaler acquired Coding Elements to accelerate business growth, leading to their Data Science & Machine Learning vertical launch.
Bootstrapped by Prateek Narang, Mohit Uniyal and Jatin Virmani Coding Minutes was started in early 2021 and, within 4 months of launch, enrolled more than 20,000 learners from 120 countries across their varied courses. Prateek and Mohit started Coding Minutes with a vision to bring a first-class digital learning experience for young coders at a super-affordable price point. The platform offers short duration courses that cover critical concepts across Data structures, Algorithms, Programming Languages like Python, C++, Java, Version Control Systems, Data Science, Machine Learning and Competitive Programming. Coding Minutes has quickly become the platform of choice for 50,000+ unique beginner coders and amassed an impressive 6 million minutes of watch time across all their courses. The e-learning platform is also projected to hit an ARR of INR 1 Crore in the current financial year.
With the acquisition of Coding Minutes, Scaler will focus on building specialised content that effectively engages the beginner-level tech aspirant. To date, the edtech brand has focused on upskilling existing tech talent. This acquisition allows Scaler to tailor content towards students and professionals who want to enter the tech industry and have no background in coding or programming. Additionally, it bolsters Scaler’s instructor and engineering teams. Both Prateek and Mohit are exceptional engineers and phenomenal teachers that their students love. Coding Minutes will become a part of Scaler and will continue to bring pocket-friendly specialised courses for beginners as part of the acquisition. Prateek Narang has joined as the Engineering Lead & Instructor for Scaler Academy, Mohit Uniyal has joined as the Instructor for Scaler Data Science & ML Program and Jatin Virmani has joined as Program Manager -Content in the marketing team.
Scaler (by InterviewBit) is an exclusive upskilling platform for tech enthusiasts and has grown to be a prominent name in the tech segment in a very short period. As a testament to its growth, Scaler raised 20 million USD in Series-A Funding led by marquee investors like Sequoia Capital, Tiger Global and Rocket Internet, among others, in January 2020. To expand its offerings, they have also recently introduced the Data Science and Machine Learning program and a unique subscription-based lifelong career accelerator, Forver. Today, Scaler has over 650 employees and 1000+ mentors/teaching assistants on the platform to bridge the tech talent gap in India. So far, more than 8,500 learners have joined Scaler’s educational programs.
Launched in 2019, Scaler (by InterviewBit) is India’s top edtech startup focused on upskilling college students and tech professionals and creating the finest software engineers in the country. Scaler’s industry-vetted curriculum provides the highest quality technology education in the world in various latest technologies. Students enrolled in Scaler are mentored and taught by over 1000 tech leaders and subject matter experts working with leading organisations, including Google, Facebook, Intuit, Microsoft, Amazon, Hotstar, Snapdeal etc. Scaler has generated better career outcomes in a short period, and on average, its learners see a 4.5x RoI (return on investment) from the course. In 2020, Scaler placed more learners in Amazon than all IITs combined, a feat unmatched by any other ed-tech startup in Asia. The startup’s parent firm, InterviewBit, is featured on the Financial Times Asia Pacific High Growth Companies 2021 ranking – one of the only two Indian edtech startups to make it to the list. Scaler is backed by marquee global investors like Sequoia Capital and Tiger Global.
