Platypus

Hello hunters! Very excited for our launch here. We’ve built this to help you find jobs that will make you truly happy. 😀 Much has happened in our professional and personal lives in the past two years, and we’ve seen how clearly they are intertwined. People now expect authentic interactions with employers, where they are understood, and where their unique priorities and values can shine through. Wouldn’t it be great if you could get an insight into those interactions in a company you’d consider joining, without actually having to join them? This is why we’ve built Platypus - to introduce you to specific teams with a culture that matches your individual preferences. For example, teams that share your priorities in terms of flexibility or inclusivity. 🤝🏻 We’re inviting you to join the Beta and explore the early functionality with the companies we have onboarded so far. 1️⃣ Create your Platypus Print by reflecting on what is most important to your professional life. This defines what you bring to an organization, and what you need in return to be happy at work. 2️⃣ Explore teams that match your cultural priorities and care about the same things that you do. 3️⃣ Swipe to connect with teams and uncover new job opportunities. Become a Platypus early adopter and help improve the conversation between companies and candidates! By empowering candidates to not sacrifice what they care about, this is a paradigm shift in recruitment. We’d love to get your feedback, thoughts, and questions below! 💜

Nice work, @dominic_parr and ?makers!

"There are no more departments aligned with you. Try again later!" :)

What are the main differences between you and your competition? :-)

Hey Product hunt, Lex here - the data scientist behind the launch! Here’s a quick explanation of how it works: Methodology: There are two sides to Platypus. No, not the belly and back! On one side we have company data, and on the other we have candidate data (you!). We’ve created a framework that aggregates anonymous cultural data from employees to give real-time updates on a company’s culture. The algorithm is based on a variety of factors that indicate how much a particular employee impacts a culture. For example, senior people impact a culture more than junior people, so their data contributes more to the culture map. Companies securely gather demographic data on each employee, so they can see on a macro and micro level how cultures and subcultures differ and evolve over time. Expert matching recommendations: We compare candidate’s cultural priorities against this live pool of data at the micro (team) level. Our recommendation engine uses a mixture of recruitment and maths logic to predict your alignment with a team’s existing culture. We are continuously working on our machine learning model to create even better suggestions for teams you might enjoy working with.

Super cool! And so relevant to choose companies where your you have a sense of purpose but ALSO aligned values (I could have used this a few years ago ngl 😅)

Looks awesome!