About Us

  The idea for RelMet came to me when my close friend was going through a tough break-up. She struggled to make sense of her partner’s messages and emotions. Around that time, I was taking computer science classes and experimenting with sentiment analysis. I decided to apply these tools to her texts to see if I could uncover what was really happening.
What I found surprised both of us: she was consistently putting more effort into the relationship, while he sent fewer messages, used a lower average word count, and often employed dismissive language. This moment highlighted how data could uncover hidden dynamics in conversations, and I realized these insights could help others, too.

  As a tech enthusiast and IT student, I’ve always been fascinated by the intersection between technology and human relationships. I’m also a people person who’s spent years observing the nuances of how we connect and communicate. Texting, while convenient, often creates divides in relationships due to misinterpretations or lack of context.
At RelMet, we use unbiased data science to bridge these gaps and help you understand the real meaning behind your messages. RelMet isn’t just about identifying patterns in texts; it’s about empowering you to understand yourself and your relationships better.

Whether you’re looking to strengthen a romantic relationship, improve your friendships, or gain insights into group dynamics, our tools offer a fresh perspective to help you break negative cycles and build healthier connections, our approach works.
In a recent survey, 87% of our users said RelMet improved their conversations, and 75% learned something they didn’t already know about their relationships. From saving a relationship on the brink to providing fun yet meaningful insights for group chats, RelMet has already made a difference in many lives.