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).
ScanRivals
Know what your competitors did this week — automatically
ScanRivals tracks your competitors automatically across 12 signals — websites, pricing, hiring, tech stacks, Google/Meta ads, Reddit, and more. Every Monday, AI writes a clear briefing: what changed, what it means, and what to do about it. Includes health scores, activity timeline, custom alerts, and AI outreach templates. Enterprise CI tools charge $15K+/yr. ScanRivals starts at $29/mo. 14-day free trial, no credit card.
“Know what your competitors did this week — automatically”
ScanRivals was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #928 on the daily leaderboard. ScanRivals tracks your competitors automatically across 12 signals — websites, pricing, hiring, tech stacks, Google/Meta ads, Reddit, and more. Every Monday, AI writes a clear briefing: what changed, what it means, and what to do about it. Includes health scores, activity timeline, custom alerts, and AI outreach templates. Enterprise CI tools charge $15K+/yr. ScanRivals starts at $29/mo. 14-day free trial, no credit card.
Who hunted ScanRivals?
ScanRivals was hunted by Dan Hampton. 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.
Want to see how ScanRivals stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Dan Hampton