Launching today

Maxma
The 24/7 AI teammate that scales your paid ad performance
391 followers
The 24/7 AI teammate that scales your paid ad performance
391 followers
Maxma is the AI platform that 10Xs your human marketers. It does the end-to-end work of paid advertising, from analyzing performance, creating ads and landing pages, and launching and optimizing campaigns across channels, to managing tracking and reporting. Working like a teammate in Slack, on demand or proactively 24/7, it proposes changes for approval and drives measurable, incremental growth across Google, Meta, TikTok, LinkedIn, ChatGPT Ads, and more. So lean teams can grow without limits.








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Render Sandboxes: a computer for every agentGive every agent its own machine. Starts in under a second
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Does it support anything beyond paid ads?
approvals right in slack instead of auto edits, smart call. congrats on the launch!
Congrats on the launch. This could be handy for a lot of teams who have the product ready but nobody on GTM yet.
Congrats Yurong! Treating creative fatigue and rotation as ongoing work, not something that stops at launch, is the part most tools skip. When the agent proposes moving budget between channels, does the Slack approval show the evidence behind it (say, the geo incrementality result), or just the recommendation? Seeing the "why" is what would make me comfortable approving from Slack.
@dhruv_mehrotra1 Of course — that is how the agent works by default. It is data-driven: it digs into the data before proposing anything like a budget move, and for anything deeper it writes up an analysis report you can read through to see why. You can also tell it your preferences and it remembers them.
Proposing changes for approval rather than just firing them off is the only version of an ad agent I would actually leave running, since I have seen a bad automated budget bump eat a month of spend in an afternoon.
@karimbenkeroum Exactly, and that is why the gate in Maxma sits in the system rather than in the prompt. Any change comes out as a proposal, and it is only pushed after you approve it — enforced outside the model, not a behavior we ask the agent to remember.
Worth keeping in mind when you look at anything else in this space: an MCP server with write access to your ad account can only ever have a loose, prompt- or memory-based gate. One confused turn is all it takes.
congrats on the launch yurong. to your question, i would hand off creative rotation first, fatigue is easy to miss when you check once a week. the part i would keep is the landing page, a lot of paid traffic dies after the click and the ad gets the blame )
@agshin_rajabov That is a good framework. And yes — you can define the scope you want a proactive AI specialist to work within.