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➡️Not only has Ritesh Arora failed twice before building a 28,000 CR company, but he has also dedicated 100 crore to his Alma mater, IIT Bombay for their hostels. 🙏.

11. Today, BrowserStack is on track to clock 3900 CR in revenues and works with over 6 million developers and 50,000 teams globally. 🌎.

10. On 16th June 2021, it raised 1480 CR led by Bond capital at a valuation of 28,000 CR. It became the ninth software-as-a-service (SaaS) unicorn from India and the most valued SaaS firm in the country. 🦄.

9. Providing cloud testing across over 2000 browsers, BrowserStack scaled to over 4 million users and 50,000 paid users. As it expanded to 15 data centres, the big news came. 👇🏻.

8. By 2018, BrowserStack was processing over 60 million tests per month. As it scaled to 25,000 paying users, it needed an office in the US and hiring senior executives. In 2018, it raised 318 CR led by Accel and became a 3200 CR company. 💰.

7. Ritesh knew it was time to expand—and offered live and automated testing on thousands of real devices and browsers in the cloud. It turned out to be such a product-led success that it scaled to users across 40,000 companies in over 135 countries in just four years. ✅.

6. Starting with a simple pay-as-you-go model, he introduced monthly subscriptions ranging from Rs 500 to Rs 1000. Within four months, he had already crossed Rs 10 lakh in monthly revenue and was sitting on a revenue run rate of Rs 5 crore as their first year came to a close. 📈.

5. Starting as a free online tool, he went to the top of HackerRank again. Within the first day, he had 10 users, which scaled to 10,000 in just three weeks. But this time, he was not making the same mistake - he finally introduced the business model. 🙌.

4. Within three days, he developed a simple web interface and configured it with their old IE browser images. He was ready to start for the third time and build a cloud-based IE testing service. In August 2011, BrowserStack was born. 🚀.

3. While working on a consulting gig, he found that setting up a virtual machine to test on Internet Explorer sometimes even took 2-3 days on unreliable networks. He discovered that it was a universal problem for developers and sought to solve it. 🤔.

2. He wanted to develop a machine learning algorithm for their sentiment-analysis engine, but failed due to a lack of a business model. Undeterred by his first failure, he launched another startup, "QuarkBase", two years later but failed after 18 months. He took a year break. ⬇️.

1. Growing up in a business family in Surat (Gujarat), Ritesh Arora had entrepreneurship in his blood even when he reached IIT Bombay to pursue computer science. With his college mate (Nakul), he launched his first startup, "QuarkRank", in his final year. 🙌.

Gave Rs 100 Cr to IIT Bombay for hostels. Who is Ritesh Arora? 🧵

10. Even after all the success, Sayandeb Banerjee still loves his employees so much that over 82% of his revenue is allocated to employee welfare expenses.🙏.

9. Today, MathCo works with clients across 15 countries in over 15 verticals and generates a revenue of ₹ 516.8 crore. Headquartered in Chicago (US), Bangalore, and Amsterdam (Netherlands), it is worth ₹ 2,350 crore today. 💪.

8. NucliOS became its star, accelerating time‑to‑insight by up to 90% and saving millions in operational costs. MathCo was now working with 100 Fortune 500 Clients, 1000 data scientists and had scaled to a revenue of 208 CR by 2022. It raised 370 CR led by Brighton Park. 💰.

7. What made it different was the delivery of a complete solution, rather than billing by the hour. As it shifted to deploying conversational assistants, such as Ask NucliOS, and OCR tools for unstructured data, along with custom LLM services, magic happened. 🪄.

6. By 2020, MathCo became the fastest-growing analytics startup in the world, with ongoing engagements across 12 industry verticals and clients in six countries. As it crossed revenues of 50 CR, it raised 15 CR more from Patni and became a 200 CR company. 📈.

5. By 2019, it had worked with over 30 Fortune 100 clients, and employed 250 data scientists, data engineers, and visualization experts in Bengaluru, Chicago, and Hong Kong. It raised 30 CR in Series A led by Arihant Patni of Patni Computers. 💰.

4. Targeting banking and insurance, Sayandeb began working with data scientists and visualization experts to establish analytics capability centres. It ran diagnostic assessments to identify data quality gaps and then built AI/ML blueprints tailored to each client's domain. ✅.