AI
Bittensor
Blockchain
DATURA ENGAGED MAYBEWORKS TO BUILD A FRONTEND ARCHITECTURE — ENABLING A CLEAN, SCALABLE, AND STATEFUL INTERFACE FOR EXPLORING 32 DECENTRALIZED AI SUBNETS WITHIN THE BITTENSOR NETWORK.
Datura is a U.S.-based platform providing access to 32 Bittensor subnets along with their documentation. Built for users working with decentralized machine learning networks, the platform makes it easy to explore, understand, and interact with subnet data — whether in text or visual format. Datura is built with usability and extensibility in mind, and continues to grow alongside the expanding Bittensor ecosystem.
Location: USA
With a strong team of AI and backend engineers already in place, Datura needed an equally capable frontend partner to take ownership of the user-facing architecture. The goal was to create a dynamic and extensible interface — one that could efficiently render complex data (textual and visual), maintain responsiveness, and offer deep interactivity as the Bittensor network evolves.
Build a frontend architecture using React, Next.js, and Tailwind CSS
Collaborate closely with AI and backend teams to translate complex data structures into intuitive frontend logic
Ensure robust rendering of visual and textual subnet content across 32 dynamic pages
Implement full URL-state logic for deep linking, user orientation, and navigation persistence
Set the foundation for future growth by keeping the system lightweight, modular, and maintainable
How MaybeWorks organised the work:
After receiving the client's request, we scheduled a call to discuss the project's goals, and specific requirements. This allowed us to clarify key details, understand challenges, and align on expectations for the collaboration.
Using the collected information, we selected the best fit from our in-house team and managed the onboarding process ourselves.
The developer joined the project a week after the client contacted us, which allowed us to start work quickly and maintain the momentum of incremental growth.
Our outstaff manager monitored the developer's performance to ensure consistent results.
If necessary, and with the client's approval, our technical leaders were involved to solve complex problems.
We provided direct communication with the developer via Slack, while task tracking and scheduling were carried out in Jira.
Request and briefing
After receiving the client's request, we scheduled a call to discuss the project's goals, and specific requirements. This allowed us to clarify key details, understand challenges, and align on expectations for the collaboration.
Developer selection and onboarding
Using the collected information, we selected the best fit from our in-house team and managed the onboarding process ourselves.
Connecting with the client's team
The developer joined the project a week after the client contacted us, which allowed us to start work quickly and maintain the momentum of incremental growth.
Supervision of productivity
Our outstaff manager monitored the developer's performance to ensure consistent results.
Technical assistance
If necessary, and with the client's approval, our technical leaders were involved to solve complex problems.
Coordination tools
We provided direct communication with the developer via Slack, while task tracking and scheduling were carried out in Jira.
Execution period
13 month
Technology stack
Frontend:
React, Next.js
Styling:
Tailwind CSS
Language:
TypeScript
Provided resources
1 Frontend Developer
Provided resources
1 Frontend Developer
Technology stack
Frontend:
React, Next.js
Styling:
Tailwind CSS
Language:
TypeScript
Ready to grow your team just as fast?
We'll select the perfect developer from our in-house team to sustain and boost the incremental growth of your project. Shall we discuss your tasks and requirements?
MaybeWorks delivered a robust frontend layer that matched the complexity and depth of Datura’s backend. We implemented subnet-specific routing, image-based navigation, input validation, and shareable URL states — all wrapped in a performant React/Next.js architecture. Our contribution became a stable visual entry point to one of the most advanced decentralized AI ecosystems in production.
Modular architecture.
Build a modular, scalable frontend architecture using React and Next.js.
Dynamic data rendering.
Built a frontend capable of adapting to diverse subnet structures and displaying real-time outputs in both textual and visual formats.
Seamless backend integration.
Designed clear data contracts and rendering pipelines for syncing with complex backend and AI-generated data without loss of context.
Growth-ready ecosystem support.
Delivered a platform-agnostic frontend layer that can easily accommodate future tools, contributors, and analytics capabilities.
MaybeWorks IT outstaffing: better structure, smoother navigation
Working with Datura, we helped improve the usability and scalability of their Bittensor subnet explorer. Our developer added support for 32 subnet pages, enabled visual navigation with image menus and arrows, and introduced validation and synapse type filtering via URL states. These updates made the interface clearer for users navigating deep technical content — while keeping the codebase ready for rapid future development.
Let’s find the right talent
for your project
We’ll provide you with strong developers and help you grow your team quickly.
Leave a request, and we will provide you with a quote in 24 hours.
Discover how organizations of all sizes scale their teams with flexible IT outstaffing solutions. See how partnering with MaybeWorks drives growth, efficiency, and innovation, helping businesses stay ahead in the evolving tech landscape.