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Personalized Media Recommendation Web & Mobile Platform

Services Covered:

Custom Software Development
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Industry
Industry

Information Technology

Duration
Duration

16 months

Budget
Budget

200K - 999K

Start Date
Start Date

1 February 2017

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
71/100
Good

Project Capability Score (PCS) estimates how capable LaSoft Software Development is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

The Spoke

mapNew Orleans, United States of America

Project Summary

LaSoft developed a web and mobile application that provides personalized recommendations and simplifies group decision-making by surfacing overlaps between users. The app (built with Python/Django and React Native) is available in the App Store and has supported fundraising of $750,000. The vendor became the client's full-time development team and continues to provide ongoing updates and support.

Key Challenges

  • Build an MVP for a web and mobile app

Project Deliverables

  • Web platform
  • Mobile app (iOS) built with React Native
  • Backend/API (Python Django)
  • Personalized recommendation system
  • UI/UX designs

Project Solution

LaSoft built a web and mobile platform that lets users search by genres or cuisines, view recommendations from trusted sources, and generate personalized scores for items (restaurants, movies, etc.). They implemented swipe-based list interactions, group-overlap features to support 30-second group decisions, and delivered the backend and APIs using Python/Django with a mobile client in React Native. The vendor transitioned to become the client's full-time development team and continues to maintain and update the app.

Project Outcome

  • Raised $750,000 using the platform
  • App available in the App Store
  • Delivered work on time with quick bug resolution and ongoing updates

Platforms

  • WebWeb
  • MobileMobile

Tech Stack

  • PythonPython
  • DjangoDjango
  • React NativeReact Native

Client Endorsement

Overall Review Rating

4.75star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“The app, which is available in the App Store, has helped raise $750,000. LaSoft goes above and beyond to meet all needs, while their commitment and ability to produce high-quality work on time helped ensure the project's success.”

Tom Stern

Co-founder

Note: This endorsement is based on publicly available client feedback from external review sources.

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