Expose The Culture — Anonymous reviews that actually measure culture
The Challenge
Glassdoor tells you about salaries and surface-level gripes. It doesn't tell you what it actually feels like to work somewhere.
Company culture is the thing that makes or breaks a job — and there was no good way to evaluate it from the outside. Interviews are performative. Career pages are marketing.
Employees know the truth, but there was nowhere structured to share it. We saw the gap and decided to fill it ourselves.
Our Approach
We built Expose The Culture as an internal initiative — no client brief, just conviction. The platform lets employees anonymously score companies across 5 specific dimensions: Leadership, Inclusion, Growth, Work-Life Balance, and Compensation. Not a star rating. Not a rant box. Structured, measurable culture data.
We shipped the entire platform in under a week using AI-assisted development on a Laravel + PostgreSQL stack with Redis for caching. Railway handles hosting.
The focus was speed without cutting corners — real database architecture, real scoring logic, real anonymity.
The Results
5
Culture dimensions scored per review
<1 week
From zero to production
100%
Anonymous — no login required to browse
Built With
Frequently Asked Questions
How fast can you build an MVP with Laravel?
Expose The Culture went from idea to live product in under a week. Laravel's built-in auth, queue system, and Eloquent ORM eliminate most boilerplate so you ship the actual product, not scaffolding.
Does AI-assisted development actually speed up building web apps?
It cut our development time on this project significantly. AI handled repetitive code generation and data modeling while the developer focused on business logic and the scoring system across 5 culture dimensions.
What tech stack is best for building a web app fast?
It depends on the project. We use Laravel when we need batteries-included PHP with auth, queues, and ORM out of the box. We use NestJS when the project calls for TypeScript or real-time features. Both deploy fast on Railway with PostgreSQL and Redis. The stack matters less than picking the right tool for the requirements.
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