Built with MongoDB: Leadgence
Leetal Gruper and Sergey Bahchissaraitsev worked together previously, but in 2019, they sat down to brainstorm a new direction. Leadgence was born out of their passion for data and business expertise and quickly grew, with Leetal as CEO and Sergey as CTO. With customers ranging from startups to Fortune 500 companies, they tripled their client base three times over in the last quarter. “The Leadgence platform delivers banks, financial services, fintech and insurance companies smart actionable data about SMBs,” said David Citron, Partner at Global Founders Capital, which invested in Leadgence and partners with MongoDB for Startups to support their portfolio companies. “With Leadgence, customers see through the cluttered SMB landscape using industry-specific tags and change and event-based triggers to tailor their outreach knowing who to call, when, and most importantly why they are calling! SMBs are in turn getting offers for services they need, when they need them, saving them time and money that is always scarce when growing a small or midsize business." In this edition of #BuiltWithMongoDB, we chat with Sergey about the evolution of Leadgence, his favorite MongoDB features, and constantly learning new lessons as a company co-founder. MongoDB: In your own words, what does Leadgence do, and how have your products evolved since you launched the company? Sergey: Leadgence grows revenue for enterprise companies that target small and mid-size businesses. We started out offering pure smart data to support sales and marketing for financial services. Initially, there was no user-facing platform. We had paying customers from day one which were getting smart actionable data. Then we launched our first application DataSeeker in December 2020 delivering event and change-based triggered actionable data intelligence. Somewhere in-between, we mapped the company’s future road map to include applications offering services to support the different needs of each of marketing, sales, growth and risk-assessment teams. MongoDB is probably going to back all of our future released applications. MongoDB: How did you decide to build with MongoDB? Sergey: It was pretty straightforward. First of all, MongoDB is the go-to database when you're talking about the back end for APIs. I was also already a bit familiar with it from working on a previous product. I guess the key point is that MongoDB Atlas makes things easy, so we started using the infrastructure as a code approach, and spinned it up with Terraform. Atlas was the key feature that drew us to MongoDB. Its document-native approach makes sense with the Node.js that we use. MongoDB: What has your experience been scaling with MongoDB? Sergey: We started pretty small, so at first we were just running trials, but we eventually had millions of documents in the database. As we’ve scaled and started building our applications, we also use it like an analytics database. We basically run online inquiries on it, where our users can explore our data and get instant results. The MongoDB for Startups program also has been really helpful. They’ve supported us a lot and have been a real partner in our growth. The consulting sessions they offered helped us finalize our analytic database approach. MongoDB: What is your favorite technical article or podcast? Sergey: Startups for the Rest of Us podcast! MongoDB: What are you currently learning? Sergey: I keep evolving in the entrepreneurial side of things. From a technical side, we keep facing challenges and solving them. Sometimes I’m specifically learning about new things from a data science, machine learning, or data processing perspective. Other times I’m learning about scaling the company and bringing people on board. I guess I’m going to keep learning about these things for a while! One big lesson I’ve learned is that when working on a problem, you should try to solve it in the simplest way possible. Complex solutions usually don’t work out in the end. So, if you solve something in a very simple way, it usually means that you understand what you’ve solved. You can make the greatest impact this way. MongoDB: How do you upskill and continue educating yourself? Sergey: I try to communicate with other professionals in entrepreneurship and technical spaces. Networking with individuals pursuing similar work helps me share perspectives and advice. It’s helpful to keep up these connections to understand what’s happening in the market, and what should be done or not done. Hearing others’ opinions about the market helps me understand the kind of direction Leadgence should be going, and what we need to pursue more deeply and analyze further. MongoDB: What’s been the most challenging thing about building Leadgence? Sergey: Building a business is in two words not-simple. We at Leadgence work with cutting-edge technology that is evolving rapidly, requiring us to always be on top of the latest developments. Add to that on-boarding new customers and the constant addition of new features and data requests, well I think you get the picture. Interested in learning more about MongoDB for Startups? Learn more about us here .
Built With MongoDB: FanPlay
Pritesh Kumar and Bharat Gupta co-founded FanPlay Technologies at the beginning of the pandemic that shook the world in 2020. With their real money gaming (RMG) product, they’ve joyfully brought thousands of people together across India in a safe way, while establishing the country’s leading gaming app. For this segment of #BuiltWithMongoDB, we spoke with Pritesh about their company’s business model, how MongoDB is working to their advantage, and what celebrities are already utilizing their platform. MongoDB: What prompted you to build FanPlay? Pritesh: The emergence of COVID-19 really prompted me into the startup world again. I’ve been a founder in the past, and I knew that at this time a lot of new companies would emerge, so I decided to be part of that. The idea for FanPlay came from observing Cameo . I was really impressed by its strong viral growth and its monetization of influencers. I think these micro influencers on the platform, although they don’t make a lot of money for a single video, can add massive value to any business. And at the same time, we were looking at the RMG industry, which was and still is the fastest-growing space in online gaming. But there is a real problem of very high customer acquisition cost. So, we put one and one together and started building an influencer-led, RMG platform. We get influencers to host real-money trivia games for the fans and followers on our platform. Typically these influencers promote their own shows on their social media platforms. They gather an audience from YouTube, TikTok, and various other channels, and then they come to our platform for the gaming experience. The audience usually pays a small entry fee. From that entry fee, a prize is created, that prize goes to the winner of the game, and from that prize we take a cut. So this is our business model. MongoDB: What was your initial vision for the product, and what does it look like today? Pritesh: The product has changed a lot from what we initially envisioned. We started with a web app initially because we thought that acquiring users on the web would be much easier, but then we launched our free Android app and it did very well. From there we launched our paid-entry model. So the product has gone through three iterations so far. In the beginning we worked a lot with Instagram influencers and realized that we needed to be working with influencers on YouTube, and specifically with people more regionally significant to India, where most of our business is at the moment. We have also expanded to hosting established faces from Instagram and YouTube. MongoDB: Can you tell us about the scale of the platform? Pritesh: Currently we work with about 500 influencers that have a lot of visibility, and we host roughly 20,000 active users daily, from India. Typically we run about 20 games per day, and we’re working to scale that to 100 per day. MongoDB: What does your tech stack consist of? Pritesh: The app is built in React Native, and the back end is Node.js. Then of course for a database we use MongoDB. MongoDB was a very clear choice for us. From a professional standpoint, as an early-stage startup, you don’t know what your product will eventually turn into, right? How will it evolve in the next six months or a year? So it’s difficult to stick to a schema. Therefore, you need a lot of flexibility. Because of our need for flexibility, SQL was out of the question, so we needed to go with NoSQL. Once we decided on NoSQL, MongoDB became the obvious choice because of the community support and documentation. As a founder, I believe in really fast execution and putting your product out there, rather than waiting for a pitch-perfect product. And that demands a lot of flexibility from the business, product, and tech sides, because we need to be able to make immediate changes based on the features that are demanded and that catch the users’ attention. With MongoDB, we are able to try a lot of product variations or tweaks very quickly. MongoDB: As you've scaled, is there a particular MongoDB feature you've benefited the most from? Pritesh: There are a few features of MongoDB Atlas that have benefitted us a lot. One is the performance metrics. It’s really really amazing, actually. You can get a very clear picture of the state of your database in a single snapshot. It helps you buy time to focus on shipping your core product and the technology behind it. It removes your focus on database management and cluster management and just does it for you right out of the box. Also, Atlas handles all of the sharding and scaling. And something that I didn’t foresee but found very useful is its scalability. Startups tend to start at a scale where the free version of any cloud product would be good enough, right? But then you quickly move into a very different kind of need and scale. It just keeps on changing! Atlas gives us that flexibility to scale up really quickly with a very minimal amount of effort. MongoDB: Have you used any of the MongoDB for Startups services? Pritesh: Yes! We had a session with a technical advisor. I found it really helpful for addressing the key features we are launching in the future, and the main challenges we are going to face when building them. I was able to discuss those and was very satisfied. The session was really good for us. MongoDB: Who is the most well-known celebrity to have hosted a game so far on FanPlay? Pritesh: The comedian Kumar Varun ! MongoDB: Who is your favorite TV or game show host? Pritesh: Amitabh Bachchan , who is a household name in India for his acting and for his role as host of Kaun Banega Crorepati (India’s Who Wants To Be A Millionaire). MongoDB: What is your favorite podcast or blog? Pritesh: The InfoQ Podcast . It goes deep into how organizations build challenging tech products. Looking to build something cool? Get started with the MongoDB for Startups program.
Finding Inspiration and Motivation at MongoDB University
For many people, across the globe, 2020 was a strange and challenging year. The new year has brought the hope of healthier and more prosperous times ahead, but inspiration to stay positive can still be tough to find. For MongoDB Certified Developer Kirk-Patrick Brown, the past months presented obstacles, but with perseverance he also experienced growth and even found ways to give back to his local community using what he learned at MongoDB University . Kirk-Patrick sat down with us virtually, from his home in Jamaica, to talk about his passion for MongoDB, getting certified through MongoDB University in the middle of the pandemic, and staying motivated. Can you tell us about yourself and your approach to software development? I’m Kirk-Patrick Brown, a senior software developer at Smart Mobile Solutions Jamaica. I consider myself an artist. I have a history in martial arts and poetry. I medaled in the Jamaica Taekwondo Championships and received the certificate of merit in a creative writing competition hosted by the Jamaica Cultural Development Commission. It was only natural to bring those artistic traits when moving into software development. For me, software development is also an artistic pursuit. It gives me a canvas to create and bring ideas to life, which in turn brings business value. When did you begin building with MongoDB? I had my first hands on-experience with MongoDB in 2018. I realized it was one of those rare gems that you see, and you're immediately curious about how it actually works, because it’s not like what you’re used to. In Jamaica there are a lot of organizations that run on some form of relational database. But once I learned about MongoDB and NoSQL I became a self-motivated evangelist for MongoDB. I understand that organizations may have used relational databases in the past, and that is understandable because there is a longer history and at one time that was the main type of database for your typical workload, but things have changed drastically. In this era there is more demand for data and all different types of unstructured data. With the advent of big data, systems that were designed years ago may not be able to provide optimal storage and performance. MongoDB is a better alternative for such use cases and enables built-in features such as auto-sharding to horizontally scale and aid in the efficient storage and retrieval of big data. MongoDB keeps being so innovative. The other day I was preparing for a multicloud accreditation with Aviatrix, and it was so funny--at the very same time, MongoDB came out with multicloud clusters. It was just beautiful. You don’t want to get locked into one cloud provider for your deployments. Even though these cloud providers offer availability zones for increased fault tolerance, things can still happen. Becoming multi-cloud allows you to become more resilient to disaster. Being in multiple clouds also lets you bring some of your replica sets closer geographically to your customers. By leveraging regional presences across multiple clouds, you can reduce in-network latency, and increase your ability to fulfill queries faster. That’s one of the main features of MongoDB replication--the ability to configure a member to be of higher priority than others, which could be driven by the location in which most of your queries originate. Multi-cloud clusters enable high availability and performance, and I think it was amazing of MongoDB to create such a feature. You call yourself a “self motivated evangelist” for MongoDB. We’re flattered! What has your experience been? I’m actively trying to get organizations to appreciate NoSQL. Recently I presented to a group of developers in the agile space. I spoke to them about replication, sharding, indexes, performance, and how MongoDB ties into advanced features of security in terms of authentication. I’m primarily pushing for developers and organizations to appreciate the Atlas offering from MongoDB. Right out of the box you can instantly have a deployed database out there in Atlas--with the click of a button, pretty much. You can get up and running immediately because MongoDB is a cloud-first database. Plus there's always customer support, even at the free tiers. You don’t feel alone with your database when you’re using MongoDB Atlas. There has been some resistance, because NoSQL requires a bit of a mental shift to understand what it can provide. But we live in a world where things continually change. If you are not open to adapting I don’t even have to say what’s going to happen, you know? You became MongoDB Certified through MongoDB University in the middle of the pandemic. Can you tell us about that experience? Even before the pandemic started I was studying courses at MongoDB University, and traveling 100 kilometers to go to work every week, while also caring for my family and three year-old son back at home. There were some delays, but I was able to become MongoDB-certified in July 2020. Becoming MongoDB-certified has impacted me in positive ways. I’ve met people I did not know before. It has also given me a level of confidence as it relates to building a database that is highly available, scalable, and provides good data reads via the different types of indexes and indexing techniques provided by MongoDB. I can create the database, perform and optimize CRUD operations, apply security and performance activities alongside a highly available and scalable cluster, all thanks to the knowledge provided by MongoDB University. The courses at MongoDB University covered those aspects very well. There is enough theory but also a great amount of practical application in the courses, so you leave with working knowledge that you can immediately use. What is the project you worked on during the pandemic that you’re most proud of? One of the things I’ve worked on intensely during the pandemic is helping to develop a video verification application for a local company and building out most of the backend functionality. For that project, there was a great deal of research needed into the technological tools and implementation to support recording verification videos of customers. I felt like it was my contribution to society at a time when it was dangerous for people to come into that local business. If I can develop something that allows even one person not to need to come into that physical location, that could be the difference between someone contracting the virus or not. A virus that has taken many lives and disrupted a lot of families this year. What advice do you have for other developers who are struggling right now with motivation to advance themselves and their careers? Don’t ever give up. In anything that you do. There is nothing that you’ll do that’s going to be both good and easy. Being a developer, you experience different problems that you have to solve but you have to keep moving forward. I don’t believe in failure, because in anything you do, there is always a win. You have your experiences and those experiences can guide your decision making. It’s just like machine learning. Machines need a lot of data and you can’t give the machine all positive data. It needs some negative data for it to become a good training model. You need bad experiences as well as good ones. If we had all good experiences our brains would not have the training models to make those correct decisions when we need them. Each day I make one definite step or positive decision. And that may be as simple as going onto the MongoDB University site and saying “I’m going to complete this one course.” You just have to keep going at it. You plan for a lot of things in life, but things most of the time don’t happen when you want them to. There's going to be some delay or something. But you can’t give up. Because if you give up then everything is lost. As long as there is time and there is life then there is opportunity to keep doing this thing. And it may take a little bit to get there but eventually you will. But if you give up, you definitely won’t!