Meltwater was the first company to introduce digital media monitoring, and is now the first to apply AI-driven media intelligence.
The backend was implemented in different modules, all built in Node.js. We worked with Express.js to provide a RESTful API running on AWS Elastic Beanstalk with Docker, built several functions on AWS Lambda and stored data in DynamoDB and RDS.
The frontend was built using React and Next.js framework for server-side rendering, delivering content with Amazon CloudFront.
Apart from those already mentioned, we also worked with other services of the Amazon stack such as API Gateway, S3, Route53, AWS Certificate Manager and CloudWatch.
The use of data science and Machine Learning in Likealyzer is twofold. First, we applied ML to find patterns in the interactions of the users with the tool, in order to discover in which features we should focus the most. Second, we are storing all relevant data that will be used as input for ML models in the future, so we can provide better insights and user experience.
As a result, we were able to build and launch a scalable, secure and highly available product. Now Likealyzer has analyzed over a million Facebook pages and counts with 50k registered users.