Sponsored LinkedIn post
A dedicated post to introduce your brand to my audience.
Ambassador @ Product Marketing Alliance
Companies pay Victor to write a post about their product on LinkedIn or X.
This page is where they book it. Below: Victor's audience, recent posts and price. Naano, the platform behind this page, handles the brief, your approval of the post and the payment.
€188per LinkedIn post, fixed price
or 3 posts for €375 · You approve the post before it goes live
1 collaboration on Naano, delivered on time
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Technical PMM at SUSE (Rancher, Kubernetes) and GTM at AIUS (data agents) | I post about AI agents, MCP and cloud native from hands-on use | 20+ years in infra
I write about what I build and test: AI agents, MCP servers, Claude Code workflows and cloud native infrastructure. My day job is technical product marketing for Rancher at SUSE. I also run go-to-market for AIUS, a startup building autonomous data agents. Over twenty years in enterprise infrastructure, eleven in technical marketing, at Red Hat, Microsoft, SUSE, Chainlink, Polygon and Algorand. I started as an instructor and solutions architect, so I test a product before I write about it. Who reads me, from my LinkedIn export: software engineers, founders, product marketers and product managers. Top industries are software development and IT services. A third of viewers are senior level. Top cities are Madrid, London, New York and the San Francisco Bay Area. What brands get: one post about a product I have used, in my own voice, with what worked and what did not. If I have not used the product, I turn the brief down. Past campaign: Synthesia AI video translation, 1,430 impressions and 2.2% engagement.
LinkedIn export · Oct 22, 2025 – Oct 21, 2026 · Provided by the creator, not independently verified by Naano
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Public X data · Captured Oct 21, 2026
You probably have a library of old videos sitting in one language, doing nothing for anyone who doesn't speak it. I tested this weekend whether AI translation is actually good enough to fix that. I ran one of my product demo clips through Synthesia's Video Translator, English into Spanish. Same content, new audience, no reshoot, no voice actor. The lip sync is what got me. Watch the mouth, not just the audio, and it still holds. Setup takes minutes. Upload a clip or paste a YouTube link (this is what I did), pick the language, done. One detail if you localize for Latin America: my Spanish is Castilian, from Spain. Synthesia's output defaults to a more neutral Spanish, which actually reaches a LatAm audience better than my own accent would. The free plan is enough to judge quality. No downloads and a few things are locked, but the paid tiers are cheap enough that it's not a real blocker once you've seen the output. I wrote up the full process, step by step, video link in the comments. Comment ES if you want it sent to you the guide and connect with me. Paid collaboration with @Synthesia.
Earlier this year I went through a layoff. A few weeks later I was already back in motion, working again, building again. Growth isn't something I turn on when things go wrong. It's a habit I keep running whether the year is good or bad. What helped me come out of that layoff strong was that I was already doing the work before it happened. That's why I said yes to Hattie the PMM's 5-day Visible & Valued Challenge this week. Moments of change are exactly when visibility as a PMM matters most. New conversations, new people who haven't seen how I think yet, only what I ship. My goal for these five days is simple: get sharper at showing my thinking, not just doing it quietly behind the scenes. 20+ years into this career, I'll still rebuild a positioning document from scratch if the strategy underneath it is wrong. I want more people to see that thinking, not just the final output. Thanks to Hudson Jameson, Andrés Valero, Pedro Navarro Pérez, Alicia Katz, Camilo Molano Herrera, Gulsah Yurdakul, Leon Stern, Mitch Eger, Shelby Kinney, Skylar Deahl, Kimron F., Diana Chimes, Tomás Mujica, Rebecca Hopwood Marco Podien Brian Seong and so many others who showed up for me through this stretch, in ways big and small, even when they didn't know it. Doing the 5-day Visible & Valued PMM Challenge with Hattie the PMM. Day 3 down.
An agent that remembers is a multi-tenant database with a chat interface. AWS shipped fine-grained access control for AgentCore Memory on 28 August. Twelve memory operations became Cedar actions, and the caller's JWT claims decide which namespace they can reach. Enforcement moved out of application code and into the gateway. That is a product decision wearing a security label. Until now, every team building on shared agent memory wrote its own authorization layer, which means every team also wrote its own bugs and got to find them separately. The part that matters commercially is what it does to a sales conversation. "Our agent remembers your context" is a feature. "Memory is isolated per user and enforced outside our application code" is an answer to a procurement question. Same capability. Only one of them survives a security review. I spend a lot of my week with platform teams, and isolation is the question that lands right after the demo. Usually before anyone asks which model it runs. If you market an agent that retains anything, that boundary belongs in the messaging rather than in an appendix. Where does your agent's memory stop? If the answer lives only in your code, it is still an implementation detail.
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A dedicated post to introduce your brand to my audience.
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How does this price compare? B2B creator rates 2026
People who saw my posts, from my LinkedIn export.
People who saw my posts, from my LinkedIn export.
People who saw my posts, from my LinkedIn export.
People who saw my posts, from my LinkedIn export.
People who saw my posts, from my LinkedIn export.
Sample of 300 public X follower profiles. Public X data, not the audience of a specific post. This follower sample is partial.
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My AI assistant could only see the first account I connected. The weekly summary looked fine and skipped half my week, because the rest lived in other Slacks and inboxes. Now I check which accounts it read before I trust the summary. https://t.co/LRJbj8G2hP
GitHub shortened its coding agent's tool output to save tokens. Tasks got more expensive, because the agent kept rerunning commands to get back what was cut. What worked: compressing only the noisy build and test logs, 5.5% per task, measured on the whole job. https://t.co/PCCxdjkFeX
OpenClaw's maintainers call them prompt requests now. Contributors were opening hundreds at once through automation. So review changed. They ask for the agent transcript, screenshots and test notes, because the code doesn't show whether anyone thought about the feature. https://t.co/48nuxLuNo6
Twice I connected an AI assistant to the wrong workspace. Both times the screen said Connected. Five checks I run now before an assistant touches a second account. The one that saved me most: never trust the default. Name the account on every request. https://t.co/M0FRo2HHCg
Atlassian replaced a metrics pipeline that ran for most of a decade, and on day one no team noticed. Apps still fire StatsD over UDP. Behind it, OpenTelemetry Collectors: 4.8 billion datapoints a minute down to 220 million. The protocol stayed. Everything behind it changed. https://t.co/OezeBoabWn
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Victor Estival is a B2B LinkedIn creator based in Spain with 6,276 followers, posting about AI, Developer Tools, and Web3 / Crypto. On Naano, one sponsored LinkedIn post by Victor Estival costs €188, a fixed price per post. A sponsored X post costs €188.
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