Frontend Development for a Revenue Analytics Platform

Frontend Engineering for a High-Load Revenue Analytics Platform

Jappware supported a VC-backed fintech startup in building a stable, high-performance interface for a data-heavy revenue analytics platform. Fully integrated into the client’s product team, our engineers helped the client implement interactive dashboards with complex financial data visualizations, build a custom YAML-based metric builder, and complete other frontend tasks.

webUI/UXSaaSReactGraphQLMongoDBMySQLPlaywrightHighchartsAWSAgGridFinTechJavaScript

About the client

Our client is an Israeli fintech startup that set out to build the first fully automated revenue analysis and optimization platform designed specifically for SaaS companies. The goal was to give revenue leaders and RevOps teams a single source of truth across their entire go-to-market funnel, from leads to renewals.

At the core of the platform was a semantic modeling layer — a centralized engine that processed large volumes of financial and operational data to deliver actionable insights through data visualization dashboards.

At the time the client approached Jappware, the company had raised about $24M from top-tier investors and was in an active growth stage.

Challenges

Building a data-intensive platform in a dynamic startup environment introduced multiple challenges.

Finding reliable engineers

With early customers onboard and the roadmap expanding rapidly, the client had to scale the development team. Previous experience with unreliable freelancers made them cautious, so they were looking for engineers who could contribute from day one without constant supervision and take ownership of their work.

Challenging frontend logic

The platform’s UI logic was tightly coupled with a proprietary analytics engine that processed large volumes of revenue data and returned highly specific metrics. Implementing this on the frontend required senior engineers who could work deeply with GraphQL, build custom hooks, and optimize rendering without disrupting data flow.

Performance under data load

The platform included near real-time data visualizations with multiple charts, tables, and metrics rendered simultaneously, which put significant pressure on browser resources. Frontend engineers had to ensure the interface remained responsive while working within the constraints of a backend architecture.

Lack of structured workflows

The client operated at a true startup pace, where priorities shifted frequently, designs evolved mid-sprint, and QA tasks were shared across the team. They needed developers who could work effectively in this environment, staying adaptable, flagging technical feasibility issues early, and covering testing gaps when necessary.

Cooperation

The client approached Jappware through a referral from an existing partner. Given previous frustrations with external developers, they started with a small trial. But it quickly evolved into a partner-level relationship as the team proved the quality and reliability of their work.

Here’s how this collaboration was structured:

Team augmentation model

Jappware engineers joined the project as embedded frontend specialists, working alongside the client’s developers as a seamless extension of the in-house team.

Day-to-day collaboration

They participated in all team meetings (standups, planning sessions, and sprint reviews), followed the client’s workflows, and worked under the client’s team lead.

Contribution

Beyond frontend implementation, they helped shape solutions by refining requirements, raising technical concerns, and going the extra mile to improve features.

Relationship dynamic

Over time, consistent delivery and proactive thinking earned the client’s trust, and our role evolved from capacity support into a strategic partnership, where the Jappware engineers’ input was actively sought and incorporated into product decisions.

Solution

Working as part of the client’s team, Jappware engineers contributed to frontend development across the platform. Several deliverables stood out for their complexity and impact.

Metric management

Our engineers helped the client implement a nested folder hierarchy with drag-and-drop functionality, along with table features such as sorting, filtering, and CSV export. This allowed users to group, rearrange, and access metrics in a structured and intuitive way.

Financial data visualization

Using Highcharts and AgGrid, the extended team built multi-metric dashboards with interconnected charts rendered simultaneously. A complex, nested parameter structure allowed each chart to request the correct data slice from the backend analytics engine.

Complex state management

The platform’s frontend required careful state handling: changes in one component had to propagate across the dashboard and update dependent views. Our developers helped address this complexity through custom hooks and a well-structured component architecture.

Near real-time dashboard updates

To enable live monitoring of revenue metrics, Jappware engineers worked on implementing near real-time dashboard updates. This was achieved through GraphQL subscriptions, allowing dashboards to reflect changes in the underlying data automatically, without requiring a page refresh.

YAML metric builder

For advanced users who needed more flexibility and custom metrics, the extended team developed a YAML-based metric builder. A dual-mode interface allowed users to switch between a raw YAML editor and a structured form view, with both modes kept in sync.

Performance optimization

To maintain performance under high data load, our developers contributed to implementing lazy loading and optimizing re-renders across interconnected chart components. They also helped refine GraphQL queries to fetch only the necessary data.

Frontend Engineering for a High-Load Revenue Analytics Platform

About the client

Challenges

Cooperation

Solution

Project tech stack

Impact