July 9, 2026

Why All Shows Look the Same

I've Seen This Before. Literally.

I recently went down a very specific nostalgia rabbit hole. I watched all of the original Little House on the Prairie, then jumped straight into Netflix’s reboot after reading the TechRadar review (source: TechRadar). The verdict? The reboot is... fine. Comfortably fine. Predictably fine. Corporate-streamer fine.

Some adaptations are worth doing. Some stories deserve a second life. But the problem isn’t the reboot. It’s that everything on Netflix now looks, sounds and feels the same. A glossy filter. A safe tone. A perfectly calibrated algorithmic shrug.

And while watching it, something clicked: hiring in tech and data is suffering from this exact same problem.

We’re Rebooting Talent Like Netflix

Far too many companies are hunting for the same safe, glossy, algorithm-approved candidate. The remake of a remake. The CV equivalent of a polished Netflix house style.

You know the one:

• Three years in a scale-up
• Experience with the exact same tech stack
• Buzzword-heavy, risk-light profile
• An almost suspiciously curated LinkedIn presence

Hiring managers tell me they want innovation, but then shortlist only candidates who look like carbon copies of each other.

We’re rebooting teams instead of building originals.

The Dangerous Comfort of Sameness

Netflix leans heavily on visual sameness because it's safe. It reduces production friction. It fits the algorithm. But it also strips out the character, grit and messiness that made the original Little House special.

Tech hiring does the same. "Safe" candidates feel easy to defend. Easy to onboard. Easy to point at if things go wrong.

But you know what isn’t easy? Building teams that think differently when every hire has the same background, same experience, same perspective.

Homogeneity makes companies slow. It makes them fragile. It makes them predictable. And predictable is the enemy of competitive advantage.

The Problem With Template Hiring

When hiring becomes templated, innovation collapses. You get:

• Teams who all troubleshoot the same way
• Architectures that converge on identical solutions
• Stagnation disguised as stability
• Projects that look great on paper but never surprise anyone

The same way Netflix shows all have that "I’ve definitely seen this shot before" gloss, many teams end up with that "I’ve definitely met this candidate before" effect.

How to Break the Netflix Hiring Trap

Great hiring leaders reject the algorithmic approach. They do things the more human way. They look for people who bring something different.

Here’s how to break the template:

• Hire for potential and trajectory, not just tools and titles
• Stop filtering out unconventional backgrounds
• Prioritise thinking skills over polishing skills
• Ask what the candidate challenges, not just what they deliver
• Welcome the slightly messy applicants who don’t fit neatly

Innovation rarely arrives perfectly packaged.

Three Questions to Challenge Your Next Hire

If you want to avoid building a Netflix-style team, ask yourself:

• Does this candidate bring something my existing team doesn’t?
• Will they challenge how we work, not just follow it?
• If this person were a reboot, would it actually be worth making?

The Bit Netflix Forgot

The original Little House had rough edges. It had warmth and texture. It didn’t look like everything else on TV. That’s exactly why it lasted.

In hiring, the people who shift your company forward are the ones who bring flavour, not the ones who blend in.

If your next hire feels like a safe reboot, ask yourself whether your team needs familiarity... or something you haven’t seen before.

And if you want help finding originals instead of templates, well, that’s exactly where Xist4 thrives.

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