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Northstar

Engineering

anonymized case study

Web platform and production tooling for a media product running across mobile and web.

A privacy-safe case study on a Vue.js web platform for a multi-season media product, with internal tooling for the production team.

See proof policy

Sector

Media and live events platform

Stack

Vue.jsJavaTypeScript

privacy boundary

The brand, talent, partners, and partner-specific integrations are withheld. The architecture pattern, internal tooling impact, and rounded user counts are shown instead.

the change

Before

A successful mobile product had no web equivalent, and the production team ran live events out of spreadsheets and email threads with partners.

01

A successful mobile experience had no equivalent web product, so a large share of the audience could not participate.

02

The production team handled key event workflows manually across spreadsheets, files, and partner communication.

03

Releases to AWS depended on hand-run steps that limited how often the team shipped changes.

What we built

A Vue.js web product matched to the mobile experience opened up tens of thousands of new users, while internal tooling moved the production team out of the spreadsheet path.

01

Built a scalable Vue.js web application integrated with backend APIs and third-party partners, serving more than 10,000 users in the steady-state product.

02

Architected and shipped the web frontend for three live event seasons, serving more than 20,000 users with UI components consistent with the existing mobile experience.

03

Built internal support tooling that took the production team out of the spreadsheet path on key event workflows, and automated AWS deploys end to end.

Controls

Every change has an owner, a fallback, and an audit trail.

01

Shared component patterns to keep web and mobile behavior aligned

02

Automated AWS deploy pipelines with reproducible environments

03

Internal tooling with role-aware screens for the production team

04

No public disclosure of partner contracts, talent identifiers, or private audience data

the result

10,000+

users on the Vue.js web product

20,000+

users across three live event seasons

~50%

less production-team effort on key workflows

auto

AWS deploy pipeline for production delivery

related services

The work behind the result.

book a workflow audit

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workflow audit call

30 min

Bring one repeated process: a report, quote, approval, inbox, or handoff that keeps wasting time. We decide together whether it needs AI, software, integration, or just a cleaner process. No pitch.

or send details instead
01

We talk through one messy workflow

You describe where work starts, who touches it, what tools are involved, and where things slow down.

02

We decide if automation is even the right answer

Some problems need AI. Some need better process, clearer ownership, or a small internal tool. We separate them.

03

You leave with a practical next step

If there is a real opportunity, we outline the smallest useful build. If not, you avoid automating the wrong thing.