Indix Reviews

I'm glad you like the culture and the team. Re Figure out what to build - We've gone through a major transition over the last 6 months, from being a SaaS company to a Data-as-a-Service company. Our vision hasn't changed - we're still aiming to be everything about products - but the path we're taking to get there is different. By focusing on the data and algorithms (vs the end user apps), we're able to make faster progress towards our vision. Re Look into lean data than big data – Our most popular use case is ‘search & identify’. For that use case, it’s important to have scale. For example, if a customer wants to identify a product that has been discontinued, then it needs to be in our system. In our SaaS app, we could limit the number of products to those that were ‘fresh’ and most relevant. In the DaaS model, we do have to make use of every product in the system. This scale also has advantages because it allows us to improve our learning models. Finally, with big data and better/more algorithms we can deliver both scale and quality. Re Please solve for a problem – With the shift to DaaS we are solving for 3 major use cases – Search & Identify, Analytics and Enterprise Catalog. This is based on customer requests and sales traction. Re Experienced Coders – I believe that we are tackling some of the hardest problems in distributed systems, real time streaming, machine learning and analytics - at scale. There are very few companies in the world where you can get this breadth of experience, even as an experienced coder. And I’ll hazard a guess that Indix is one of the few places in India for this type of experience. Hopefully, we can make sure that everyone gets a chance to work on the hard problems.