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).
Backlinkhubs is a quality-first backlink directory platform for founders, indie makers, and SaaS teams. Unlike outdated directory lists, it provides curated opportunities with practical signals like DR, monthly visits, category fit, and direct submit links. Users can quickly filter, compare, and prioritize where to submit. The standout value is combining discovery and execution in one workflow, turning backlink outreach from random manual work into a repeatable, data-informed growth channel.
BacklinkHubs was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #97 on the daily leaderboard. Backlinkhubs is a quality-first backlink directory platform for founders, indie makers, and SaaS teams. Unlike outdated directory lists, it provides curated opportunities with practical signals like DR, monthly visits, category fit, and direct submit links. Users can quickly filter, compare, and prioritize where to submit. The standout value is combining discovery and execution in one workflow, turning backlink outreach from random manual work into a repeatable, data-informed growth channel.
Who hunted BacklinkHubs?
BacklinkHubs was hunted by Kim Jin. 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 BacklinkHubs stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Kim Jin