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A/B
Predict winning ads before spending a single dollar
A/B by eonik uses Meta Tribe V2 to predict creative performance before launch, so marketers stop guessing and start scaling winners. Think of it like creative MRI for ads. No more “let’s test and pray.” Now it’s test → predict → ship winners. Built for: • Performance marketers • DTC brands • Agencies • UGC teams • Growth teams • Founders running paid ads If creative is your growth bottleneck, this changes the game. Would love your feedback. And yes, we’re shipping fast.
Hey PH 👋
I’m Abinash, founder of eonik.
After watching brands burn insane amounts of money testing bad creatives, one thing became obvious:
Ads are no longer a media buying problem. They’re a creative decision problem.
Everyone talks about scaling ads.
Very few help you decide WHAT deserves to be scaled. That’s why we built A/B.
We use Meta’s Tribe V2 foundation model to predict how people respond to creatives before they go live.
Think:
“Can this hook stop scroll?”
“Will this video hold attention?”
“Is this creative dead before launch?”
Instead of spending thousands to find out.
We wanted creative testing to feel less like gambling and more like having x-ray vision.
Would genuinely love feedback from marketers, founders, and builders here:
👉 If you run paid ads, what’s your biggest creative bottleneck today?
I’ll be here all day replying :)
— Abinash
About A/B on Product Hunt
“Predict winning ads before spending a single dollar”
A/B was submitted on Product Hunt and earned 57 upvotes and 7 comments, placing #78 on the daily leaderboard. A/B by eonik uses Meta Tribe V2 to predict creative performance before launch, so marketers stop guessing and start scaling winners. Think of it like creative MRI for ads. No more “let’s test and pray.” Now it’s test → predict → ship winners. Built for: • Performance marketers • DTC brands • Agencies • UGC teams • Growth teams • Founders running paid ads If creative is your growth bottleneck, this changes the game. Would love your feedback. And yes, we’re shipping fast.
On the analytics side, A/B competes within Marketing, Advertising and Artificial Intelligence — topics that collectively have 961.8k followers on Product Hunt. The dashboard above tracks how A/B performed against the three products that launched closest to it on the same day.
Who hunted A/B?
A/B was hunted by Abinash Senapati. 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.
For a complete overview of A/B including community comment highlights and product details, visit the product overview.
Abinash Senapati