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Adomate

Turn data into winning ads. At scale.

Design Tools
Marketing
Artificial Intelligence
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Hunted byRohan ChaubeyRohan Chaubey

With Adomate you create ads from data, at scale. Take data from your Meta ad account, the ad library and reviews from Trustpilot and Amazon. Build creative research workflows that create branded ad concepts, the way you want. Fully traceable to their original data trigger, no blackbox.

Top comment

Hey Product Hunt 👋

Simon here, co-founder and CEO of Adomate.

Before Adomate was a self-serve platform, Lucas and I ran it as a service, building and delivering Meta ad creatives by hand for DTC brands across Belgium and the Netherlands.

We wanted to feel the problem first:

  • Strategists losing 60-70% of their week to research instead of making

  • Rebuilding context from zero every Monday

  • No system connecting last week's winner to what gets briefed next

Creative is the last lever you actually control on Meta now that targeting and bidding are automated, and most teams still run it like it's 2019.

The solution

We built Adomate. It puts your performance data, competitor intel, and consumer signals into one workflow you build and own. A few things it's already done for early teams:

→ Increased number of winners and ROAS

→ Volume: helped Nomige to meet creative demand and deliver the number or creatives required for testing

→ Golden nuggets: automatically found usable insights in thousands of customer reviews

How it works

1. Feed in your performance data, brand brain, competitor ads, reviews, and consumer signals. One place, not ten tabs, so research time drops to minutes.

2. Build the workflow once. Every data point after that becomes an ad concept, so you stop starting from scratch every session.

3. Like the concept, skip it, or refine it in plain language. Point out a reference if you've got one. Every choice trains Adomate and saves a version, so getting from 80% to 100% takes minutes, not a new brief.

Why it's different

No black box. Every concept you see traces back to the exact data point that triggered it, the competitor ad, the review line, the performance metric. You can always see why.

Adomate doesn't replace your judgment, it amplifies it.

Who it's for

Creative strategists and performance marketers at DTC and e-commerce brands running Meta ads, plus agencies managing creative across multiple accounts.

If briefing your designer feels slower than it should, this is for you.

Special for the PH community

→ 30% off your first 3 months: PHMONTHLY30. 300 codes.

→ 50% off your first year: PHANNUAL50. 100 codes.

Apply the code at checkout. Valid until Friday 11:59pm PT, or until the codes run out.

Our ask

If you're running paid social, tell us what's broken in your workflow right now. That's the input that shapes what we build next.

👉 Get started for free to see what you can do with Adomate.

@lucas_desard and I will be here all day. 👇 Big thanks to @rohanrecommends for hunting us 🙏

Comment highlights

The traceability is amazing , knowing which data point triggered which concept makes it easier to kill bad directions without guessing

@lucas_desard this look genuinely great! Can't wait to give this a spin 🚀

Pulling from Meta ad data, the ad library, and Trustpilot/Amazon reviews as raw material is a sharp approach, most ad generators start from a blank prompt, but the best-performing creative usually starts from what's already resonating. The full traceability back to the original data trigger is the part that earns trust; "no blackbox" matters a lot when you're trying to explain to a client why a concept exists. Curious how much control you get over brand guardrails so the output stays on-brand at scale. Congrats on the launch!

the traceability and spend-data answers above cover picking winners, but what about the fatigue side - if the engine keeps spinning variants off the same proven winner, how do you stop Meta from showing near-identical creative to the same audience over and over. is pushing for stylistic variance built in, or is that still on the strategist to catch before it burns out an audience

Congrats on the #1 launch 🎉 The part that stands out to me isn't "AI generates ads" — it's the "fully traceable to the original data trigger, no blackbox" framing. Most gen-creative tools hand you an output with zero lineage, so you can't tell why a concept was made or how to steer the next one. Curious how granular that trace actually is: when a concept links back to a data trigger, does it point to the exact source item — this Trustpilot review, this ad-library creative — and can I act on it, e.g. "this hook came from these 3 reviews, regenerate weighting them differently"? Basically: is the traceability a provenance view, or an actual control surface you steer generation with? Really nice work either way 🙏

Congrats Simon and Lucas! I run marketing at a B2B company, so here’s the question from outside your DTC lane: is the engine fundamentally built around Meta’s feedback volume, or could this work for B2B where the ad account is LinkedIn and the reviews live on G2 instead of Trustpilot and Amazon? Our review mining problem is identical, buyers say the golden lines in G2 reviews, but every tool in this category treats B2B as an afterthought. Would love to know if it’s on the roadmap or out of scope by design.

the traceability pitch is what sold me too, but I'm curious about the agency case specifically. if I'm running Adomate across multiple client accounts, is the review/competitor data and brand brain fully siloed per workspace, or is there any shared learning happening under the hood that could let one client's insights bleed into another client's concepts

This looks useful. How do you check the ads before they go live and make sure they do not include anything misleading?

Congrats on the launch. The service-first route makes sense here. You usually learn much more by doing the work manually before trying to automate it. I'd like to understand is how Adomate decides what should influence the next brief. Performance data can tell you what won, but not always why it won. Can the team challenge the system’s reasoning or add context when a creative worked because of timing, an offer, or something happening in the market? That seems important if the goal is to avoid turning last week’s winner into next week’s template.

The traceability angle is what caught my eye here. Most ad tools spit out concepts with zero explanation, so seeing exactly which review line or competitor ad triggered a suggestion is the part creative teams will actually care about. Does the attribution work in reverse too, meaning can I start from one specific Trustpilot review and ask it to generate concepts from just that?

Not gonna lie, it looks really good.

Maybe the only thing I'd like to see is to get an analysis and then prepare an ad myself.

Is it possible?

Congrats on launching! We spend way too long digging through customer reviews to find angles for ads, so pulling Trustpilot and Amazon feedback into the same workspace as ad performance sounds really handy. How does it work for smaller brands that only have a handful of reviews and a modest ad account to learn from?

@s_logghe You mention agencies managing creative across multiple accounts as one of your target users. For those teams, is there hard isolation between client brand brains, so one client's reviews, competitor set, and performance data can never surface in another client's generated concepts?

@s_logghe Congratulations. And happy product launch.

I run paid social on the buying side and support on the receiving side, so the thing that is broken for me sits downstream of yours.

Golden Nuggets is the feature I would watch. The review lines that make the best ads are almost always about an experience rather than a product. Arrived in two days. They replaced it, no questions asked. That is exactly why they sound authentic, and it is also the moment the ad stops describing the product and starts making an operational promise.

The trace tells you where the claim came from. It does not tell you whether you can still keep it. That review was true for one customer, in one country, under last year's courier contract. Run it as an ad and you have made that promise to everyone who sees it.

And it does not fail where you are looking. ROAS goes up, because it is a good promise. It shows up two weeks later in the inbox as "your ad said two days", and nobody connects that ticket back to the creative that caused it.

What I would want, and you are closer to it than anyone because you already hold the trigger: flag which concepts make a claim about time, price, returns or availability, as against a claim about how the thing looks or feels. The first kind needs one person to confirm it is still true before it runs. The second does not. Everything you need to tell them apart is already sitting in the data point you traced back to.

Ads game is changing and Adomate came to evolve it even more. Creatives are easier and more effective than ever!

About Adomate on Product Hunt

Turn data into winning ads. At scale.

Adomate launched on Product Hunt on July 27th, 2026 and earned 459 upvotes and 92 comments, earning #1 Product of the Day. With Adomate you create ads from data, at scale. Take data from your Meta ad account, the ad library and reviews from Trustpilot and Amazon. Build creative research workflows that create branded ad concepts, the way you want. Fully traceable to their original data trigger, no blackbox.

Adomate was featured in Design Tools (261.5k followers), Marketing (466.4k followers) and Artificial Intelligence (474.6k followers) on Product Hunt. Together, these topics include over 227.9k products, making this a competitive space to launch in.

Who hunted Adomate?

Adomate was hunted by Rohan Chaubey. 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 Adomate stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.