LeanyLabs

Kueez Analytics Platform (KAP) takes traffic analysis to the next level by enabling users to configure custom reports with multiple tabs, various filters, and metrics sliced over different dimensions.

A/B tests and multiple compare modes encourage data-driven improvements, and snapshots allow re-evaluating historical decisions anytime.

The platform accomplished its primary goal of providing improved experience and performance when digging into data. The ability to easily customize the reports allowed the client's team to find valuable insights they weren’t aware of before.

Aspecto helps modern development teams solve production issues before they evolve.

Using deep telemetry analysis, Aspecto learns your microservices and leverage this data to make sure everything will smoothly work when making a change. It automatically generates insights based on the analysis of API usage in production. You can scale while staying confident that your code is keeping up.

The client wanted to completely redesign his existing website to make it modern, snappy, and easier to use. He had a strong vision of what a weather website should look like in 2020 and most of the designs ready beforehand so we jumped straight into development pretty quickly.

React was chosen for unmatched development speed, MongoDB for its CRUD performance, and NodeJS for handling high not CPU-intensive load on the backend. The architecture was pretty simple as something more complex would definitely be an overkill for this kind of project.

Achieving high search ranking was very important for this project, so server-side rendering, CDN, performance optimizations, multi-language support, sitemaps, and SEO audits were a must. Supporting older browsers like IE11 was also critical for a consumer website like this.

To get everything working we had to combine our own cities and places database with multilanguage support, mix together data from different sources to get everything we needed, and even poll individual weather stations on a lower level directly. In fact, it might be the most detailed consumer weather website out there.

Our calculations concluded that a single web server could easily handle all the traffic from the old website so it was deployed on a single EC2 instance. We hope it would get a lot more traffic in the future so deployment architecture also included a plan to easily scale to multiple rendering and backend instances when needed.

The website achieved 90+ PageSpeed score on desktop and 60+ on Mobile which completely smoked its current competition. It feels really fast, modern, and looks great on every platform. Weather predictions are pretty accurate and the traffic grows. The client is happy and our success is being measured by the success of our clients.

The project initial goal was to help the client make better investment decisions by constantly calculating current KPIs and historical performance for every listed crypto project. Later on, it was decided to make the data public and monetize it through paid advertising.

The main technical challenge for us was to gather data required for all the calculations from different blockchains and still make the development cost-effective for the client. 

Cryptodividend’s backend relies on different libraries to gather data from smart contracts on popular blockchains. Data for listings on unique and less popular blockchains together with historical data for newly listed projects can be updated manually through Google Sheets.

The website has a custom design and was built with Node.js, MongoDB, React, Redux, and Bootstrap. It leverages server-side rendering, CDN caching, responsive design, and deployed on the Amazon Web Services platform.

Both ad revenue and better investment decisions have paid out the development expenses quite fast. The client is happy and our success is being measured by the success of our clients.