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).
MRBL AI
Measure what moved your brand, not just what got clicked
Property intelligence for brands and media properties on Social Media. Marble connects public, creator, earned, owned and first-party signals to reveal what created value, where opportunity is being missed, and where to invest next.
Hey Product Hunt, I'm Mike, Head of Product at MRBL AI.
Here's the problem we kept running into: a brand or show launches something, creators post, press picks it up, fans talk about it — and the report at the end only counts what had a tracking link. Most creator content and nearly all earned media never carries one. So teams make the next investment decision on a fraction of the evidence.
Marble starts from the thing you actually care about — we call it a property: a brand, a product line, a series, a podcast, a team, an event. Give it a name, keywords, hashtags and accounts, and Marble pulls together three kinds of activity around it:
Creator Marketing - the creators and campaigns you run, with posts tracked automatically
Earned Media - organic posts, press and conversation nobody briefed or tagged
Owned Social - your official accounts
Then it answers the questions a report usually skips: what did this actually move, compared with what would have happened anyway? What are we missing? Where should the next dollar go?
You can start with public data and zero setup, then connect first-party sources when you want a tighter answer.
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About MRBL AI on Product Hunt
“Measure what moved your brand, not just what got clicked”
MRBL AI was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #90 on the daily leaderboard. Property intelligence for brands and media properties on Social Media. Marble connects public, creator, earned, owned and first-party signals to reveal what created value, where opportunity is being missed, and where to invest next.
MRBL AI was featured in Social Media (89.5k followers), Marketing (470.1k followers) and Influencer marketing (2.1k followers) on Product Hunt. Together, these topics include over 113.6k products, making this a competitive space to launch in.
Who hunted MRBL AI?
MRBL AI was hunted by Mike Simpson. 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 MRBL AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Mike Simpson
Hey Product Hunt, I'm Mike, Head of Product at MRBL AI.
Here's the problem we kept running into: a brand or show launches something, creators post, press picks it up, fans talk about it — and the report at the end only counts what had a tracking link. Most creator content and nearly all earned media never carries one. So teams make the next investment decision on a fraction of the evidence.
Marble starts from the thing you actually care about — we call it a property: a brand, a product line, a series, a podcast, a team, an event. Give it a name, keywords, hashtags and accounts, and Marble pulls together three kinds of activity around it:
Creator Marketing - the creators and campaigns you run, with posts tracked automatically
Earned Media - organic posts, press and conversation nobody briefed or tagged
Owned Social - your official accounts
Then it answers the questions a report usually skips: what did this actually move, compared with what would have happened anyway? What are we missing? Where should the next dollar go?
You can start with public data and zero setup, then connect first-party sources when you want a tighter answer.