Our fourth birthday. Four years since BB podcast #1 was released. What a ride it’s been. And weirdly, it somewhat coincides with what could be our biggest month to date.

This month’s Monthly Megabyte:

Nearly everyone we speak to asks us "how many views do you get?". It's an interesting question. Construction is a niche in and of itself. Construction tech is a niche niche. And so, the numbers game is always… difficult.

The numbers game is a bit of a paradigm. For a large part of the world, it’s all that matters when building a media business. For others (and usually those who know a thing or two) it’s all about the quality. My belief is that you need content that does both… some that is focused on views and some that is focused on attracting quality.

At Bricks & Bytes, our core focus is quality of audience - we’d rather have 5 high value views than 500 low value views. But we are also pushing content that casts a wider net.

So when the numbers reflect our efforts, it’s rewarding. It fuels conversations with sponsors, and whether you like it or not, it’s social currency that gets you more interest and opportunity.

But anyway. For a while, we've been floating around a consistent 30-40k views across our platforms, which in my opinion is already pretty good for a new(ish) brand in this sector.

Through Jan-March we were ruthlessly strategising and experimenting with different content formats, distribution and styles. And in April, the fruits of our labour were realised.

This month has been the biggest single (multi-platform*) month of viewership in Bricks & Bytes' history. Across all our core channels, we hit around 180k views, which in this industry is unheard of (bar a few very rare exceptions).

How?

In a world where getting eyeballs to your product is the most important thing you can focus on, I wanted to share a few things that are working at Bricks & Bytes. Hopefully this is useful for anyone reading who is trying to lead a marketing effort for their team.

Volume. We produce 125 unique pieces of content each week now. Podcasts and long form content repurposed into multiple different pieces. We have a team of 2 people working on this, both at 50% capacity of their day to day. Build the systems and the rest follows.

Story. Something so dry and lame about the construction industry is that no one really knows how to tell a story. And we certainly are not experts. But even minor tweaks in how we push our content out, focusing on basic storytelling principles like hooks, emotion, relatability, tension, can go a long way.

Recency. In April we dropped a lot of breaking news, either through video or blog articles. People love to be the first to know, and so we've made a conscious effort to put ourselves at the front of the latest news. It's not easy. This also helped us secure some big names to the platform (episodes coming soon).

Platform Optimisation. Mega important. We ignored this for too long. Each platform is drastically different. A video short might fly on LinkedIn but completely tank on YouTube. Know your audience. (And yes, we spend a lot of time debating titles, thumbnails and hooks for all of our content.)

Simplicity. A number of people might disagree with this, but overly technical content doesn't work. Yes, construction is technical. Yes, you might look smart. But people consume content mostly socially or casually. They don't want to be blasted with stuff that makes them think too deeply. They want to get the basic picture and go deeper after.

And so the march to build the biggest media brand in this space continues :).

Oh, and as I went quite unintentionally deep in this first section, I’ll keep the rest short.

The success from our first event was beyond anything I could have imagined. You can check out my post here for the full rundown. Also if you want to know the key insights Martin Fischer shared, check out this blog post.

We attracted some of the most senior people in the industry to London for this event and we were overwhelmed by the positive feedback and turnout.

More content (and events ;)) to come.

We dropped our episode with a16z, which everyone went quite crazy about. Watch it and judge.

Thanks to Buildots for adding their name to our newsletter sponsors. I really love what this company is doing. Their marketing team are great to work with.

Tell me what you think:

San Francisco startup Crewline AI raised $7.1M to put asphalt rollers on autopilot. Amazon spent $44.2 billion on data center and AI infrastructure in one quarter. And England's Building Safety Levy hits October 1 with no transition period. Reads: Microsoft and NABTU's AI training push, Bloomberg's AskB lessons, and Powell's last Fed meeting.

San Francisco startup Crewline AI closed a $7.1M seed round this week to retrofit construction rollers with autonomous driving systems for geo-fenced compaction. The motion is repetitive, bounded, and required at every layer, making it a logical starting point for autonomous equipment on site. (More)

AWS posted 28% growth in Q1 2026, its fastest in 15 quarters, on the back of $44.2 billion in data center and AI infrastructure capex. That spending is construction work. The pipeline behind this number is only getting larger. (More)

England's Building Safety Levy takes effect October 1 with no transition period. Charged per square metre on all new residential developments of 10+ units, rates vary by local authority, and no completion certificate is issued until it's paid. Developers need to factor it into appraisals now. (More)

Chinn Lim, founder of dConstruct.ai and former senior director at Singapore's Smart Nation initiative, gave the sharpest answer we've heard yet to "what should construction leaders be doing about AI right now."

His point: AI agents and physical robots are only as good as the data you feed them. The companies collecting from every touchpoint today, site scans, sensor feeds, progress reports, equipment telemetry, are the ones who'll plug straight into the next wave. Everyone else gets outperformed by competitors who started building the data layer years earlier. Data isn't a side project anymore. It's the moat.

Microsoft and NABTU open free AI courses to millions of trades workers. Free AI literacy courses are now live across 1,900+ training centers in all 50 states, covering AI fundamentals, data security, and jobsite applications. Read on Axios

Proprietary data beats raw model power. Bloomberg's CTO on building AskB. Three lessons from Bloomberg's new in-house AI agent: clean proprietary data, rigorous evaluation, and cost discipline from day one. Read on Fortune

Powell's last meeting: an 8-4 split. Three dissenters wanted to strip the easing bias from the statement entirely. Rate relief before committing to capex is not coming soon. Read on CNBC

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