Edwin Boér's LinkedIn Strategy, Cinematic…

I almost submitted this video to the 3DISE contest. It was finished, rendered, and "good enough." Then I deleted the entire project and started over. This is the draft that didn't make the cut. Th…

13824330 viral

Visual Storytelling5 months ago

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Developers don't care how many scan stations you set up. They care about this. This GIF toggles between a raw RGB point cloud and the BIM model that came out of it. Same building, two datasets best s…

LinkedIn post image: Developers don't care how many scan stations you set up.

566419 viral

BIM & Reality Capture5 months ago

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Your scans could look like this. You're just not showing it to anyone. Every frame in this video is real scan data. No AI. Just a point cloud, presented the way your clients deserve to see it. The…

7216218 viral

Data Visualization5 months ago

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No post from me today, just a strong recommendation. Full credit to Corridor Digital who just a few days ago dropped one of the best explanations of Gaussian Splats I've seen. From the basics of how…

6510315 viral

3D Scanning5 months ago

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Forgot to share this from January. POINT CLOUD VISUALS was recognised by APAC Insider as Best Point Cloud Visualisation Specialist in Australia. I don't usually post about awards, but this one felt…

LinkedIn post image: Forgot to share this from January.

2819214 viral

Awards & Recognition5 months ago

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𝘐 𝘩𝘢𝘵𝘦 𝘙𝘎𝘉 𝘴𝘤𝘢𝘯𝘴. Said no one ever. But really, they just show you what your eyes can already see, and might even stop you from going beyond. On the transition below: X-ray mode strip…

683110 viral

LiDAR & Point Cloud Processing5 months ago

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Topics & Content Focus

Primary Topics

Translating reality-capture deliverables into developer-ready business outcomes (scan-to-BIM, cost/scope clarity, fit-out optimisation)Point cloud visualization as a stakeholder-communication layer (making technical data legible to non-technical buyers)Emerging capture tech scouting for AEC workflows (Gaussian splatting, volumetric/4D capture) and the path to BIM automation

Secondary Themes

Practical toolcraft and rendering/appearance fixes for scan data (PBR, classification-based tweaks)Narrative packaging of technical work (before/after comparisons, demos, short films) to shift sales conversationsCreator experimentation meta-content (format testing, daily posting sprints, feedback loops)

Industry Focus

AEC reality capture and survey-to-design pipelines (LiDAR/point cloud → BIM)Commercial property development and fit-out decision support3D visualization/communication for technical teams selling to non-technical stakeholders

Content Categories

Case study + outcome framingTool tip / micro-tutorialTrend commentary + curationCredibility signal (award/recognition)Community check-in / feedback request

Performance Insights

67.1%

Avg Engagement Rate

STABLE

Performance Trend

Best Performing Topics

Practical, near-future workflow innovation (Gaussian splats → production/AEC applicability)Outcome-framed case studies that connect scans to cost/scope certainty (BIM as the unlock, not the scanner)Credibility/third-party validation when tied to stakeholder impact (award framed as 'helps non-technical understand')

Virality Signals

Strong pattern-interrupt openings (contrarian framing)Concrete transformation proof (before/after datasets, visual toggles)Buyer-language emphasis (numbers, cost, scope, start dates) that broadens appeal beyond techniciansThird-party amplification via named creators/tools (Corridor Digital, PlayCanvas/SuperSplat)

Structure & Quality

190

Avg Length (Words)

HIGH

Depth Level

ADVANCED

Expertise Level

0.82/10

Uniqueness Score

Common Hooks

Contrarian buyer-empathy hook ("they don't care about X; they care about Y")Show-don't-tell hook (visual comparison/transform as the proof)Authority-through-curation (recommending a best-in-class explanation/workflow)Quick-fix practitioner tip (small change → noticeable improvement)Vulnerable creator-process reflection (effort, experimentation, lessons learned)

Common Endings

Direct question to prompt comments ("biggest takeaway?", "what should I skip next time?")Soft CTA to comment/DM + gratitudeHashtag stack for niche discoverySeries marker in parentheses (e.g., "(29/31)")Link routing ("link in the comments")

Value Delivery Methods

Bridges technical execution to stakeholder decision-making (what the buyer actually needs to see)Actionable workflow guidance (how to present, how to shade/classify, what to prioritize post-scan)Reality-based tech forecasting grounded in ongoing testing (what's possible soon vs not yet)Credibility through specific artifacts (GIF toggles, short film, named tools) rather than abstract claims

Formatting Style

Short paragraphs with deliberate line breaks for cadenceOccasional bullets for steps/processEmphasis via single-line statements ("Telling is not enough.")Light use of bold/typographic emphasis for questionsDense but readable technical nouns (BIM, MTOs, PBR, classification)

Audience & Tone

YES

Question Usage

0.5%

Response Rate

Detected Tone

Smart-casual practitionerBuyer-empathy translator (technical-to-executive)Visually driven storytellerExperiment-minded, reflective builderQuietly confident (outcomes over hype)semi-formalfirst-person

Interaction Style

Discussion-led (invites takeaways and feedback)Community-minded (credits others, gratitude, encourages exploration)Consultative (positions self as translator between technical teams and buyers)

Community Building Signals

Runs structured posting experiments (daily series) to train audience expectationsUses explicit feedback loops to co-design future contentBuilds trust by sharing constraints (can't share names) while still sharing outcomes

Writing Style Patterns

Content Strategy

Hook: Contrarian buyer-empathy hook ("they don't care about X; theTone: semi-formalCTA: Open-ended discussion question

Writing style breakdown

The most expensive data is the data nobody understands.

You can have the highest-density point cloud in the world, captured with the most expensive scanner on the market. But if your client looks at it and sees "messy colored dots," you've already lost the room.

I recently spoke with a surveyor who was frustrated that their BIM models were being ignored by the site managers.

The problem wasn't the accuracy.

The problem was the delivery.

We spent ten minutes stripping back the layers. We moved away from showing the full dataset and focused on one specific service run that was clashing with the new structural steel.

Suddenly, the site manager wasn't confused.

He was taking notes.

That shift in perspective is what turns a "service provider" into a "strategic partner."

It’s not about the hardware you use.

It’s about the story the data tells when the jargon is stripped away.

How are you presenting your complex data to non-technical stakeholders this week?

Curious to hear your approach.

(32/31)

#RealityCapture #PointCloud #ScanToBIM #AEC #Surveying #DigitalTwin

Edwin Boér

Warm Analysis

Performance Overview

Top Posts by Engagement

Posting Patterns & Frequency

Best Performing Days

Best Performing Times To Post