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Maker
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Hey Product Hunt 👋
I’m TX Wu, the maker of AdKinex.
I built AdKinex because Google Ads search term optimization is still too manual, spreadsheet-heavy, and risky.
Negative keywords can save a lot of wasted spend, but pushing the wrong negative can also block valuable traffic. That’s the hard part: advertisers need to reduce waste without making blind decisions.
AdKinex reads your Google Ads search terms, assigns each one a clear decision state, and shows which negatives are safe to push before wasted spend grows.
Today, AdKinex focuses on search term governance and negative keyword decisions for Google Ads.
I’d love feedback from anyone running Google Ads, managing client accounts, or working on paid search.
Thanks for checking it out!
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The risk classification actually matched my own manual review on a sample of terms, which I wasn't expecting. Would be nice if it pulled in historical spend so I could see the real cost of each flagged term.
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Maker
@nuranerciygu5u Thanks for testing the classifications against your own manual review — this is exactly the kind of validation we’re looking for.
Our goal with AdKinex is not to replace advertiser judgment, but to reduce the repetitive work of reviewing thousands of search terms while keeping decisions transparent and controllable.
We really appreciate the feedback on historical spend visibility as well. Being able to connect risk signals with actual cost impact is something we’re considering as we continue improving the workflow.
Thanks again for trying AdKinex and sharing your thoughts!
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love how clean the risk classification feels, the color cues make it obvious which negatives are safe to push without reading every line.
This is exactly the problem we wanted to solve — making search term reviews faster and less overwhelming for advertisers.
We designed the risk states and visual cues so advertisers can quickly understand what needs attention and which actions are safe to take.
We’d love to have you try AdKinex further and hear more feedback from your workflow. I’ll send you a message with an early access option — really appreciate you checking it out!
The risk classification actually matched my own manual review on a sample of terms, which I wasn't expecting. Would be nice if it pulled in historical spend so I could see the real cost of each flagged term.
@nuranerciygu5u Thanks for testing the classifications against your own manual review — this is exactly the kind of validation we’re looking for.
Our goal with AdKinex is not to replace advertiser judgment, but to reduce the repetitive work of reviewing thousands of search terms while keeping decisions transparent and controllable.
We really appreciate the feedback on historical spend visibility as well. Being able to connect risk signals with actual cost impact is something we’re considering as we continue improving the workflow.
Thanks again for trying AdKinex and sharing your thoughts!
love how clean the risk classification feels, the color cues make it obvious which negatives are safe to push without reading every line.
@elmasnerz9d8 Thanks for the thoughtful feedback!
This is exactly the problem we wanted to solve — making search term reviews faster and less overwhelming for advertisers.
We designed the risk states and visual cues so advertisers can quickly understand what needs attention and which actions are safe to take.
We’d love to have you try AdKinex further and hear more feedback from your workflow. I’ll send you a message with an early access option — really appreciate you checking it out!