π Built in Slack and with integrations in most ATS, Booster is designed to streamline the candidate referral experience for your team and allow recruiters to highlight hard-to-fill jobs and curate referrals in a more automated fashion. Try it free today! π
βEmployee referrals in Slack - with automated job boostsβ
Referral Booster launched on Product Hunt on May 28th, 2020 and earned 71 upvotes and 12 comments, placing #25 on the daily leaderboard. π Built in Slack and with integrations in most ATS, Booster is designed to streamline the candidate referral experience for your team and allow recruiters to highlight hard-to-fill jobs and curate referrals in a more automated fashion. Try it free today! π
Referral Booster was featured in Hiring (15.3k followers), Messaging (51.9k followers) and Robots (10.6k followers) on Product Hunt. Together, these topics include over 25k products, making this a competitive space to launch in.
Who hunted Referral Booster?
Referral Booster was hunted by Kevin Corliss. A βhunterβ on Product Hunt is the community member who submits a product to the platform β 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.
Want to see how Referral Booster stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Kevin Corliss