Railway’s Landing Page is a Masterclass in Social Proof

PLUS: The FULL HISTORY of Temu (Why it's EXPLODING!)

Railway’s Landing Page is a Masterclass in Social Proof

Railway displays real-time deployment and usage metrics prominently on its landing page.

These numbers update continuously, offering visitors a transparent look at the platform’s scale and activity.

Railway - Real Time Metrics

By displaying these numbers in real-time, Railway reinforces trust. Visitors don’t have to take the company’s word for it. They see proof of engagement and adoption the moment they land on the page. The sheer scale of activity signals that Railway is an established, widely-used platform.

TypingMind Uses Similar Real-Time Data to Strengthen Trust

TypingMind applies the same approach. Instead of generic claims, the platform shows usage numbers that demonstrate its impact.

Typing Mind - Metrics

This data reassures potential users that the platform is actively used and widely adopted. Numbers like “132,853+ monthly active users” signal that the product isn’t just functional—it’s part of people’s daily workflows.

These metrics are based on actual usage data, making them impossible to replicate and a powerful form of social proof.

Harry Dry’s 3 Questions for Analyzing Copy

Harry Dry, known for his copywriting, emphasizes 3 key questions when analyzing copy:

  1. Can I visualize it?

  2. Can I falsify it?

  3. Can nobody else say this?

The Big Three Copy Questions

These real-time statistics succeed on two important fronts: they're unfalsifiable (based on real data that can't be disputed) and unique to each platform (showing specific information only that company can provide).

Why Real-Time Social Proof Works Better Than Traditional Approaches

Live metrics update constantly, offering an ongoing snapshot of actual usage. Unlike awards or one-time endorsements, these numbers reflect continued engagement.

Competitors cannot easily replicate the authenticity of real-time figures. Testimonials and feature lists can be copied, but an active, growing user base cannot be faked.

Trust increases when visitors see proof of activity at scale. Instead of reading generic claims, they witness hard data that speaks for itself.

Top Tweets of the day

1/

This is why scams are always obvious to the smart ones.

If you fall for such scams, you are not smart. Obviously, sometimes your opponent is better than one especially if they are a social engineer (or if you are a man, its always a woman since men are too confident a woman can't fool them.)

The point of bad synthetic voices and the obvious scamminess of such calls is a filter to keep people who are scam-aware out of the scammer's funnel. Just like obvious spelling mistakes on the page.

Darknet Diaries Podcast has multiple episodes on such scams.

One such scam was giving fake university certificates to people in the USA. It was operated out of Pakistan.

The episode was called Axact. The description goes like this:

"Axact is a Pakistani tech company with fancy offices and butlers waiting on their employees night and day. But they don't make apps or chatbots. Instead, they create elaborate websites and marketing materials for colleges that don't exist, then scam people into buying fake degrees. And their customers love it. One employee, let's call him 'Fazal,' gives us all the dirt on how this elaborate online extortion scheme works."

This was a fun listen.

2/

Terrific insight. Ghibli trend is here to stay in variations. Multi-million-dollar opportunity.

3/

China is ahead of everyone. Looks like CCP plays Chess.

In Chess, the grandmasters don't think one step ahead of everyone. They think 10, even 20 steps ahead of everyone.

China built its manufacturing arm for 20 years since 2000. Now they can give away AI for free, thereby, subsidizing AI companies business model. Since Electricity is cheaper in China, USA literally can't compete.

China built its manufacturing arm while USA outsourced it to China, India, and other countries.

India, the most populated country in the world, skipped manufacturing and went straight to software. And now you have too many software engineers and not enough jobs for them.

Rabbit Holes

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