Wishu is a social application for creative freelancers - it allows you to find and book cooperation with local micro-entrepreneurs. From photographers to make-up artists, the app brings together many talents and helps you book services in an easy way.
Wishu approached us for support with UX, UI and the backend for the iOS app. Its' aim was to create an easy-to-use online community, which would enable freelancers offering a vast range of services to connect with prospective clients.
Services
The challenge was to build something that was more than a marketplace, but rather a platform on which to showcase work, search for talent, manage bookings and build amazing projects.
The platform would feature a search function, an ability to create profiles on which goods and services were offered, and a wallet which would take care of every transaction so that users didn’t have to carry cash.
10Clouds created both the UX and UI for the platform and created the backend for the iOS application. The backend service is written in Python using MANGOPAY as a secure payment provider, KYC service and ledger.
Wishu officially launched in December 2019 with a very successful funding round. We’re very pleased to see that it continues to go from strength to strength!
DCLEX approached 10Clouds to help them build a groundbreaking stock exchange that would use blockchain to provide secure and transparent trading. The work would include product inception, branding and visual communication. It would also cover UI design, service design, development, and providing blockchain support.
In-house product prototypes can demonstrate that subscription-based options may not be as customizable and cost-effective. In 6 weeks, we guided our client to decide about creating a product tailored to each user's specific needs, making the solution personalized.
10Clouds Assistant is a powerful tool that can collect data from company handbooks, employee information, project details, and more to provide instant feedback. The process of creating this tool involved several stages, such as downloading data from the Confluence API and saving it to a PostgreSQL database. Next, we cleared the data of HTML tags and added it to Pinecone using Llama-index, a library for importing data. Our AI tool can quickly and accurately provide users with the information they need, making it an invaluable asset for any organization.
