Product upvotes vs the next 3
Product comments vs the next 3
Product upvote speed vs the next 3
Product upvotes and comments
Product vs the next 3
Referral Booster
Employee referrals in Slack - with automated job boosts
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
About Referral Booster on Product Hunt
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
On the analytics side, Referral Booster competes within Hiring, Messaging and Robots β topics that collectively have 77.8k followers on Product Hunt. The dashboard above tracks how Referral Booster performed against the three products that launched closest to it on the same day.
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.
For a complete overview of Referral Booster including community comment highlights and product details, visit the product overview.