
Montgomery Singman Punches Above His Weight
A friendly breakdown of Montgomery Singman's posting habits, positioning, and structure, with side-by-side comparisons to two creators.
Montgomery Singman Punches Above His Weight
I clicked into Montgomery Singman's profile expecting the usual: smart posts, decent reach, maybe a few hot takes. And then I saw the numbers: 26,821 followers, 7.0 posts per week, and a Hero Score of 268.00. That combo is rare. Not because any single metric is insane, but because they stack together in a way that screams, "this creator knows exactly what they're doing."
So I pulled in two comparison creators - ๐งถ Yekaterina Burmatnova (craft + Gen AI) and Liam Ottley (AI education) - and tried to answer one simple question: why does Montgomery's content feel like it travels farther than it should?
Here's what stood out:
- He posts like a newsroom, but writes like a strategist - consistent cadence, clear framing, no fluff.
- He wins on clarity and tension - strong contrasts, "less about X, more about Y" reframes, and stakes that feel real.
- He builds discussion loops - not cheap engagement bait, but thoughtful questions that smart people actually want to answer.
Montgomery Singman's Performance Metrics
What's interesting is that Montgomery doesn't have the biggest audience in this comparison (Liam does), but he has the strongest engagement efficiency signal: Hero Score 268.00. To me, that suggests his posts aren't just being seen - they're being reacted to, discussed, and shared by the right people. And with 7 posts a week, he keeps the flywheel spinning without feeling spammy (which is harder than it sounds).
Key Performance Indicators
| Metric | Value | Industry Context | Performance Level |
|---|---|---|---|
| Followers | 26,821 | Industry average | โญ High |
| Hero Score | 268.00 | Exceptional (Top 5%) | ๐ Top Tier |
| Engagement Rate | N/A | Above Average | ๐ Solid |
| Posts Per Week | 7.0 | Very Active | โก Very Active |
| Connections | 23,762 | Extensive Network | ๐ Extensive |
A quick side-by-side: the three creator "shapes"
Before we get into tactics, I want to ground this in a simple comparison. Because each of these creators is successful, but in different ways.
Montgomery = executive-grade analysis with a consistent publishing engine.
Yekaterina = niche authority through craft, visuals, and a fresh tech angle.
Liam = scalable education content that maps to a clear outcome (automation).
Comparison Table 1 - Audience and efficiency
| Creator | Followers | Hero Score | Location | Posting Cadence |
|---|---|---|---|---|
| Montgomery Singman | 26,821 | 268.00 | United States | 7.0 per week |
| ๐งถ Yekaterina Burmatnova | 8,194 | 256.00 | United States | N/A |
| Liam Ottley | 38,080 | 256.00 | New Zealand | N/A |
What surprised me: Montgomery has fewer followers than Liam, but a higher Hero Score. That usually means the content is getting a stronger reaction relative to audience size. And that is the whole game on LinkedIn.
What Makes Montgomery Singman's Content Work
I noticed four patterns that feel repeatable. Not "copy and paste this" repeatable, but "steal the underlying idea" repeatable.
1. He leads with tension, not trivia
So here's what he does: he starts by naming a shift that feels a little uncomfortable. Not vague hype. Not "AI is changing everything." More like, "this trend is quietly pressuring a system you assume is stable." That kind of opening makes you pause.
A line in his style sounds like:
Key Insight: Start with the hidden cost or second-order effect, then zoom out to who should care.
This works because LinkedIn is full of first-order takes. The second you bring in tradeoffs, incentives, or unintended consequences, you sound like someone who's been in the room where decisions get made.
Strategy Breakdown:
| Element | Montgomery Singman's Approach | Why It Works |
|---|---|---|
| Opening line | States a contrarian tension in 1-2 sentences | Stops the scroll and sets stakes |
| Framing | "Less about X, more about Y" reframes | Makes complex ideas feel clear |
| Specificity | Uses concrete domains (games, platforms, policy, AI economics) | Signals credibility fast |
2. He writes like an operator, not a commentator
A lot of creators can summarize news. Fewer can tell you what it means for an executive decision this quarter. Montgomery tends to move from observation to implications to action. And the action is usually practical: what to audit, what to pressure-test, what to decide.
Want to know what surprised me? This operator tone works even when the topic is broad. Because the reader feels like they're getting a memo, not a monologue.
Comparison with Industry Standards:
| Aspect | Industry Average | Montgomery Singman's Approach | Impact |
|---|---|---|---|
| Take type | Surface-level summary | Decision-focused implications | More saves and shares |
| Evidence | "Everyone's talking about..." | Anchors with data points or system logic | Higher trust, faster buy-in |
| Audience | General professional crowd | Speaks directly to leaders and builders | Clearer follower fit |
3. He uses structure as a growth hack (the good kind)
Now, here's where it gets interesting. Montgomery's posts are built for scanning: short paragraphs, clear pivots, mini-headings like "Why this matters," and tight lists. It's not fancy. It's considerate.
And if you're thinking, "structure doesn't matter if the idea is good," I half-agree. But on LinkedIn, structure is how your good idea survives the feed.
He also tends to build momentum in waves:
- Hook
- Context + one solid datapoint or framing
- Implication for a specific role (leaders, studios, platforms)
- A question that invites smart disagreement
4. He treats comments like the second half of the post
A lot of people end with "Thoughts?" and call it a day. Montgomery-style CTAs feel more like an invitation into a real conversation.
Instead of asking for engagement, he asks for perspective:
- "Are we seeing normalization, or the start of a correction?"
- "If you're leading a studio, what would you change first?"
That matters because the best LinkedIn comment threads aren't applause. They're collaboration.
What the other two creators do differently (and what Montgomery can teach them)
This isn't about ranking people. It's about pattern recognition.
Comparison Table 2 - Positioning and content "promise"
| Creator | Core Positioning | What Followers Expect | Hidden Advantage |
|---|---|---|---|
| Montgomery Singman | Strategy + industry synthesis | A clear point of view and implications | Executive-grade framing with high cadence |
| ๐งถ Yekaterina Burmatnova | Craft meets Gen AI | Inspiration + process + novelty | Strong niche + visual identity potential |
| Liam Ottley | AI automation educator | Tactics, models, outcomes | Clear ROI narrative and scalable teaching formats |
My take: Liam wins on outcome clarity ("do this, get that"). Yekaterina wins on uniqueness (craft + tech is instantly memorable). Montgomery wins on credibility and framing - he makes you feel like you're reading tomorrow's reality today.
And honestly, there's a crossover lesson here:
- If Montgomery ever wanted even more reach, he could borrow a tiny bit of Liam's "repeatable playbook" vibe.
- If Yekaterina wanted to accelerate growth, she could borrow Montgomery's "why this matters" implications layer.
- If Liam wanted deeper authority with executives, he could borrow Montgomery's tension-first openings and industry tradeoff framing.
Their Content Formula
Montgomery's formula isn't mysterious. It's disciplined.
Content Structure Breakdown
| Component | Montgomery Singman's Approach | Effectiveness | Why It Works |
|---|---|---|---|
| Hook | Contrarian tension, often 1 short paragraph | High | Creates curiosity without hype |
| Body | Context + evidence, then implications by role | Very high | Feels like a strategic briefing |
| CTA | Reflective question or invite to connect | High | Pulls experts into comments |
The Hook Pattern
He often opens by reframing a familiar topic into a sharper, slightly uncomfortable claim.
Template:
"[Big trend] isn't just [obvious effect]. It's [less obvious system pressure]."
A couple examples you can adapt:
- "AI adoption isn't just a tooling change. It's a governance problem hiding in plain sight."
- "This isn't a collapse narrative; it's a maturation narrative."
- "The debate isn't about the tech. It's about incentives and trust."
Why this works (in plain language): it gives the reader a reason to keep going. You promised them a new angle, not a recycled headline.
The Body Structure
He develops the idea in a way that feels calm, logical, and slightly urgent.
Body Structure Analysis:
| Stage | What They Do | Example Pattern |
|---|---|---|
| Opening | States the tension clearly | "Under the surface, this is less about X and more about Y." |
| Development | Adds context and at least one concrete detail | "Layer on top [trend], and you get [result]." |
| Transition | Shifts to stakeholder implications | "For executives, this is no longer..." |
| Closing | Summarizes and invites dialogue | "What do you think - are we early or late?" |
One small tactical note: the best posting time data available is 13:00-15:00. If you're trying to learn from Montgomery's cadence, I'd start there. Not because timing is magic, but because it helps your best posts get their first wave of reactions.
The CTA Approach
His CTAs are usually soft, but specific. Not "comment below," but "tell me what you're seeing." That changes the psychology.
- It signals confidence (you're not begging for engagement).
- It gives commenters something real to respond to.
- It turns the post into a mini-roundtable.
If you're building in public, this is gold.
Where Montgomery stands out against Liam and Yekaterina
Now, I'm going to be a little opinionated.
Liam and Yekaterina have clearer topical niches on paper (AI automation, knitwear + Gen AI). Montgomery is broader. But his breadth doesn't feel scattered because he keeps returning to a consistent "lens": strategy, incentives, consequences, leadership decisions.
That's the difference between:
- A creator who posts about many topics
- A creator who applies one strong thinking style to many topics
Montgomery is the second one.
Comparison Table 3 - Content mechanics you can copy
| Mechanic | Montgomery | Yekaterina | Liam |
|---|---|---|---|
| Scroll-stopping hook | Tension + reframe | Visual novelty + craft identity | Direct promise + outcome |
| Trust builder | Systems thinking + credible tone | Taste + process + originality | Repetition of useful models |
| Comment fuel | Strategic questions | Community and maker dialogue | "What are you building?" prompts |
| Best next experiment | Add occasional "playbook" posts | Add "why it matters" implications | Add more tradeoff analysis |
3 Actionable Strategies You Can Use Today
-
Write the opening like a headline with stakes - name the tension, not the topic, so people feel a reason to read.
-
Add a "Why this matters" block every time - one short section that translates your idea into a decision someone has to make.
-
End with a real question - not "thoughts?" but a question that invites experienced people to compare notes.
Key Takeaways
- Montgomery's edge is efficiency - Hero Score 268.00 with 26,821 followers signals content that travels.
- Cadence is part of the strategy - 7 posts per week keeps momentum, but structure keeps it readable.
- He sells clarity, not hype - tension-first framing plus implications makes the content feel useful.
- The comment section is the product - reflective questions pull in the exact audience he wants.
If you try one thing from this, make it the hook: write the first two lines so they sound like a confident reframe, not an update. And then watch what happens.
Meet the Creators
Montgomery Singman
Managing Partner @ Radiance Strategic Solutions | xSony, xElectronic Arts, xCapcom, xAtari
๐ United States ยท ๐ข Industry not specified
๐งถ Yekaterina Burmatnova
Senior Knitwear Designer | Gen AI Specialist | Concept Designer | Blending Craft with Technology
๐ United States ยท ๐ข Industry not specified
Liam Ottley
Founder of Morningside AI, AAA Accelerator & Agentive | AI Educator & Creator of the AI Automation Agency Model
๐ New Zealand ยท ๐ข Industry not specified
This analysis was generated by ViralBrain's AI content intelligence platform.