Imed Radhouani

Imed Radhouani

RankfenderRankfender
Co-founder and CTO - Rankfender

About

I am a tech entrepreneur, digital strategist, Data Scientist, and full-stack developer with 11+ years of experience in IT engineering, AI systems, and business development. I build scalable SaaS platforms, AI automation systems, and data infrastructures from architecture to deployment, working with enterprise environments like HP and OVHcloud. I’ve collaborated with companies such as Gameloft and King. I combine code, data, and growth strategy to create high-performance digital ecosystems.

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Maker History

  • Rankfender
    RankfenderAI visibility and automated SEO optimization platform
    Mar 2026
  • 🎉
    Joined Product HuntFebruary 26th, 2026

Forums

You're a product builder. Should you also be a writer?

You're building a product.
Your focus is code, features, user experience.
Not meta descriptions.
Not FAQ schema.
Not internal linking.

But content still needs to get done. Docs, landing pages, blog posts, metadata. And if you ignore it, nobody finds your product.

So you have a choice. Spend hours on content yourself. Hire someone who doesn't understand your product. Or let an OS handle it.

We're building ROSE ( Rankfender Fullstack Optimization Engine ) as a Git based library. An SDK you install directly into your repo. It runs on every commit. Checks your metadata. Validates your heading structure. Suggests internal links. Even auto fixes the small stuff.

Rankfenderp/rankfenderImed Radhouani•

10d ago

We spent 6 months building for enterprise. Nobody bought it.

We thought we were ready.

Bigger deals. Fewer customers. Better margins. That was the dream.

So we built enterprise features. SSO. Advanced permissions. Audit logs. A whole new pricing tier starting at $2,000/month.

We spent 6 months. Three engineers. One dedicated product manager. Endless meetings about "enterprise readiness."

What's something you measured that completely changed how you build product?

For months, we were building features based on what users said they wanted. Feature requests.
Sales calls. "It would be great if you added X."

We built X. Nobody used it.

So we stopped trusting what people said and started tracking what they actually did.

The dataset

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