This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
SupervisorMatch
AI that matches students with funded professors worldwide.
SupervisorMatch helps students and researchers find their ideal PhD or Postdoctoral supervisor anywhere in the world. Using AI algorithms and expert academic review, we match your CV and research interests with professors who have active funding and aligned research areas, delivering personalized supervisor recommendations directly to your inbox.
I built SupervisorMatch because many talented students waste months emailing professors randomly, often without knowing who is actually a good fit, who has funding, or how strong their chances are.
SupervisorMatch uses AI to match students with professors based on their CV, research interests, target country/city, preferred degree level, and funding needs. Instead of sending generic emails to hundreds of labs, students receive a focused list of suitable supervisors, acceptance-likelihood insights, and guidance on how to approach them professionally.
The goal is simple: make the MSc, PhD, and postdoc search smarter, faster, and more strategic, especially for students looking for fully funded opportunities abroad.
About SupervisorMatch on Product Hunt
“AI that matches students with funded professors worldwide.”
SupervisorMatch was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #30 on the daily leaderboard. SupervisorMatch helps students and researchers find their ideal PhD or Postdoctoral supervisor anywhere in the world. Using AI algorithms and expert academic review, we match your CV and research interests with professors who have active funding and aligned research areas, delivering personalized supervisor recommendations directly to your inbox.
On the analytics side, SupervisorMatch competes within Education, Artificial Intelligence and Tech — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how SupervisorMatch performed against the three products that launched closest to it on the same day.
Who hunted SupervisorMatch?
SupervisorMatch was hunted by Navid Rabiee. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of SupervisorMatch including community comment highlights and product details, visit the product overview.
Navid Rabiee