On air · 2 of 3 networks
Miro
- miro.com
- US
- 1,951 employees
Miro’s ads on LinkedIn, Meta and Google, recorded by adsrunning. Browse the latest here for free. Sign up free to see all 2,126. Watch Miro with Starter to get each new one in your feed.
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| Network | Status | Live ads | Nov 2025LinkedIn activity · 52 weeksOct 2026 | Checked | Next step |
|---|---|---|---|---|---|
| Running | 602 | Checked 29 Oct 2026 | See all 2,126 ads → | ||
| Meta | Running | 4 | Active ads on the Meta Ad Library, all countries | Checked 29 Oct 2026 | Collect them with the API → |
| Recently | 7k+ | Ads on the Google Ads Transparency Center | Checked 4 Oct 2026 | Collect them with the API → |
Miro has 602 live LinkedIn ads. Its Facebook page had 4 active ads on 29 Oct 2026, and we recorded 7k+ Google ads on 4 Oct 2026.
Latest ads
- LINKEDIN · IMAGESince 26 Oct 2026
Sure, you can build something - but building the right thing? Not as easy. Explore the complete guide for product leaders looking to prototype faster and drive innovation. Get the guide 👇
- LINKEDIN · IMAGESince 20 Oct 2026
AI is making individuals faster. So why are teams struggling to move faster, together? According to Damir Dizdarevic, Head of Product AI at Miro, AI amplifies the silos already fragmenting teams. In his ProductCon session, Damir shares two AI workflows he uses on repeat to make sure his team is working from the same shared context as they align, decide, and build. 🎥 Watch now on demand →
- LINKEDIN · IMAGESince 20 Oct 2026
AI has accelerated creation. But has it made your team better at deciding? As Damir Dizdarevic, Head of Product AI at Miro, puts it: AI amplifies the misalignment already fragmenting teams. So, while individual creation scales, collective decisions diverge. In his recent ProductCon session, Damir shares two AI workflows he runs on repeat to turn scattered work into decision-ready inputs before the meeting even starts. 🎥 Watch the ProductCon session on demand →
- LINKEDIN · VIDEOSince 15 Oct 2026
Endava's clients can't risk an AI hallucination, so the decision-making authority is always a person. That principle is written into the work itself, down to the markdown files, so no agent can go rogue. Agent-to-agent coordination exists, but the core of the model is agent-to-team collaboration. It rests on a value the company held long before AI arrived: technology is the how, people are the why. Endava kept that through the whole transformation.
- LINKEDIN · IMAGESince 15 Oct 2026
Proximie's hardest problem was never engineering the product. It was deciding what to build next without defaulting to the loudest voice in the room. Now a feature earns its roadmap slot based on evidence that exists in a shared workspace, where anyone from the CEO to sales can see it, react to it, and align on it. See how they decide the "right" thing to build, together. ⬇️
- LINKEDIN · IMAGESince 15 Oct 2026
J.Crew Group found the obstacle in their design process wasn't a single step. It was the gap between teams that made it harder for everyone to understand the work well enough to move forward. They named the gap alignment latency and developed an AI-powered “Digital Atelier” to bring their teams together. Get the eBook to discover what this looks like in action ⬇️
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