EndorsedendorsedOngoing

Audio Intelligence Platform MVP Development & Staff Augmentation

Services Covered:

Custom Software DevelopmentStaff AugmentationUI/UX Design
Project hero — replace with case study imagery
Industry
Industry

Media

Duration
Duration

36 months

Budget
Budget

200K - 999K

Client Size
Start Date

1 August 2023

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
76/100
Good

Project Capability Score (PCS) estimates how capable NaNLABS 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

DeepCast

mapLos Angeles, United States of America

Project Summary

NaNLABS provided 2-5 full-stack developers and designers to help an audio intelligence platform build and launch an MVP. The team selected and implemented the stack (Django/Python and React/NextJS), set up hosting (Heroku, Vercel and AWS), instrumented the systems architecture, and delivered both frontend and backend work with API integrations. The engagement follows Agile practices and remains ongoing, with the client reporting satisfaction with the vendor's nearshore resources and product expertise.

Key Challenges

  • Supply full-stack development and design resources to help launch an MVP

Project Deliverables

  • MVP / limited public alpha
  • Frontend (React/NextJS)
  • Backend (Django/Python)
  • Hosting/IaaS setup (Heroku, Vercel, AWS)
  • Instrumented systems architecture
  • API agreements and FE/BE integrations
  • CI/CD pipelines and DevOps support

Project Solution

NaNLABS supplied 2-5 engineers and designers to run a soup-to-nuts 0→1 engagement. They chose and implemented a Django/Python backend with a React/NextJS frontend, established hosting on Heroku, Vercel and AWS, instrumented the systems architecture, developed FE and BE components with API agreements, and provided DevOps support for CI/CD while coordinating the broader AWS architecture with other resources.

Project Outcome

  • Ongoing Agile development and continued collaboration
  • Client satisfied with nearshore resources and strong Next.js/product expertise

Platforms

  • WebWeb

Tech Stack

  • DjangoDjango
  • PythonPython
  • React.jsReact.js
  • Amazon Web Services (AWS)Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

4star4 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

The project is still ongoing, but the client has been satisfied with NaNLABS' services so far. The team utilizes Agile methodology to execute tasks efficiently, and they continue to leverage their knowledge and technical expertise to deliver quality results.

Lucas Dickey

CEO & Founder

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

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