Our Work

Our client launched a new Web3 game but had no visibility into how players were interacting with their core game loop and social features. They were making critical product decisions based on intuition rather than data.

We designed and implemented a comprehensive event tracking plan using Segment and Mixpanel. We built a reliable data pipeline to AWS S3 and Google BigQuery to empower the client's data science team and created insightful dashboards to monitor key health metrics. As part of the contract, we trained the client's engineering team to track new events and maintain the data pipeline.

The gaming analytics pipeline was delivered on time and within budget, providing critical data insights during the game's closed alpha, open beta, and continuing to provide player event metrics after the game's launch. The events that were tracked in the game included core game loop features and social features. A set of dashboards was built in Mixpanel to track DAU, average session length, player engagement, and player retention.

The client needed a secure, reliable, and randomized NFT distribution system for their game on the Cosmos blockchain. For this project, Modern Learner developed and implemented an NFT smart contract for the Cosmos blockchain.

The purpose of the smart contract was to receive NFTs for a web3 game, randomly select an NFT from a pool of NFTs, and transfer it to the player.

We developed a custom NFT transfer smart contract in Rust with CosmWasm and rigorously tested it with custom JavaScript tooling to simulate thousands of transactions and edge cases. The smart contract was delivered on time and successfully deployed to the Terra blockchain. It enabled the seamless, secure distribution of 10,000 NFTs to players, becoming a core, trusted component of their game's economy.

MOONBEAM - Apps on Google Play

MOONBEAM is your daily look at lunar phases for North and South hemispheres

Apps on Google PlayML Inc

We built and published a mobile app in the Google Play Store that displays the lunar phases. The store listing included content such as descriptions, screenshots and feature graphics.

The app was built using Expo and React Native, including sound effects and animation.

We built a video course creation platform for eLearning. The platform enabled creators to write scripts that would then generate all the videos that go into a video course. Each video included a generated slide deck, stock footage, and Text-To-Speech narration. Machine learning powered by a custom model was used to give the user suggestions during the script writing process.

The platform was built using Angular, JavaScript, Node.js, ffmpeg, Python and TensorFlow (through ludwig).

We hired subcontractors to improve parts of the video generation pipeline.