I like the idea here, but there's a pretty big privacy concern for me. When I started predicting other peoples' salaries, I realized that I could see role + company + tenure. For people on small teams at well-known companies, this outs you pretty quickly. Have you thought about anonymizing this?
@joellewenstein I felt the same unease, then I realized I could go into my imported profile and edit out names & information for privacy reasons. Also, noticed some people have done that themselves, somebody's school name was "Top 5 Business School"
Report
@gozdeaksay This is interesting. But, what do I do with this information? I gave it a test run, and the results were about ~20% off of my actual total cash comp. Is that because I make too much money? Or is it because people don't know what a program/product manager makes?
The site is really nice looking, and it was fun to make predictions on other peoples.
Hi everyone, I am one of the co-founders at Salary Fairy. Our goal is to inform our users of their market value and help them find better paying jobs if they are underpaid.
We launched 5 weeks ago and we currently have over 2,800 users who have made 38,000 salary predictions. Looking forward to your questions and feedback.
@gozdeaksay You have built some really addicting engagement mechanisms in your product, kudos! I want to ask you, what's the optimal way to use this predictive data you are generating?
Thank you @rrhoover! We think that the job market is not efficient as salaries are not discussed openly. This causes information asymmetry and many professionals are underpaid as a result. I was one of them! So we wanted to create a platform where people can learn more about their market value and act upon it if necessary.
Thanks a lot Kevin! We calculate accuracy of predictions and remove outliers from prediction data. If a user is consistently making bad predictions, their predictions are ignored in our results.
Thank you for the feedback Joel. You are definitely right, this might be a privacy concern for some of our users. To address it, we provide an โedit profileโ feature where you can anonymize your profile by making company names and position titles more generic (e.g. โMorgan Stanleyโ to โLarge Investment Bankโ). We leave this to our usersโ discretion because it may affect the accuracy of their salary prediction.
Airtable
1Degree
Face to Face
1Degree
Face to Face
Face to Face
Face to Face
Product Hunt