Project Story

Tinder-Inspired LinkedIn Chrome Extension

Inspiration

Professional networking platforms are formal, slow, and often uncomfortable.
Dating apps, on the other hand, are fast, intuitive, and honest about how people actually make decisions.

We asked a simple question:

What if LinkedIn worked like Tinder?

This led us to build a Google Chrome extension that transforms LinkedIn profile browsing into a swipe-based experience familiar, playful, and intentionally unsettling.

What We Built

We created a Tinder-inspired LinkedIn Chrome extension where users:

Swipe right to connect
Swipe left to skip

Decisions are made quickly based on appearance and profile context, reflecting real-world first impressions.

To deepen the experience, we added:

AI-generated images of two users together (coffee date, marriage, side-by-side)
AI-suggested pickup lines to reduce awkward first messages
A system-mandated opening message, removing free-form introductions

This design exposes the hidden hierarchies already present in professional and social platforms.

Gender Detection and Filtering

To support preference-based filtering, we use a combination of:

Computer vision for gender and ethnicity estimation from profile images
Name-based inference using common gender datasets

The results are averaged to reduce single-source bias.

Tools used:

DeepFace: https://github.com/serengil/deepface
Genderize: https://github.com/SteelPangolin/genderize

Gender and ethnicity is inferred probabilistically and used only for matching logic.

How We Built It

Built as a Google Chrome extension using Plasmo, enabling rapid development and clean extension architecture
Swipe-based overlay UI injected directly onto LinkedIn profiles
AI image generation for visualizing future scenarios (coffee dates, marriage, family)
Language models used to generate pickup lines and spice messages up with a flirty twist