Stijn Feijen
@ MakeUGC
Stijn Feijen builds a 14K-follower audience by teaching solopreneurs how to automate content creation and monetization using AI tools, with a 77.5% conversation rate that signals deep reader engagement. His signature move is leading with a shocking number or contrarian claim, then immediately proving it's real by showing the system, the math, and the results—turning skepticism into comments.
2.4/wk
9 posts in 30d
425
avg per post
77.5%
comments / total
0.5%
reposts / total
problem-solution
Mon · 2 AM CET
Voice & tone
Direct, confident, and proof-driven. Stijn writes like someone who has already built what he's teaching and is impatient with theory. He uses short declarative sentences ('No cameras. No editing marathons. No creative burnout.') and avoids hype language in favor of specifics (costs, timelines, revenue figures). The tone feels like a peer sharing a working blueprint, not a guru selling a dream.
Signature phrases
- “No cameras. No editing marathons. No creative burnout.”
- “This isn't luck. It's a repeatable system.”
- “And I'm not going back.”
- “The real leverage?”
- “Set it up once. Automate with AI. Collect monthly.”
- “This changes the economics completely.”
Top 3 posts, dissected
Their highest-engagement posts, broken down line by line. Steal the structure.
550 videos per day. Clawdbot + MakeUGC changing how short-form ads get built and scaled. We’re generating 550 fully realistic UGC videos per day with: - Cinematic lighting - Natural human motion - Perfect pacing - AI-powered scripting + iteration No creators. No production crews. No editing bottlenecks. UGC cost: $1 Production time: Minutes Scale: Instant This isn’t just content generation — it’s an AI engine that creates, tests, optimizes, and scales short-form ads automatically. Behind the scenes, autonomous AI agents handle: – Hook testing – Script variation – Creative iteration – Performance analysis – Scaling winners All running nonstop. The result? Brands can launch dozens (or hundreds) of ad variations daily, identify winning creatives faster, and scale campaigns without increasing headcount or production budgets. And yes — it’s already live. Campaigns are scaling right now. We’re entering a new phase of advertising where creative production is no longer the bottleneck. Distribution moves fast — now creative does too. If you’re running paid media, building a brand, or managing performance campaigns, this changes the economics completely. Comment “V2” and I’ll DM you the full workflow. (must be connected)
'550 videos per day.' works because it's absurdly specific and large. Readers cannot ignore it—they must read the next line to understand if this is real or marketing. The number is so far outside normal production capacity that it forces cognitive dissonance, which drives the click.
Hook (number) → Proof (tool names + what's possible) → Negation list (what's NOT required) → Cost/time metrics → System explanation (autonomous agents doing specific tasks) → Outcome (faster testing, scaling without headcount) → Closing CTA (comment 'V2'). The architecture moves from shock to proof to benefit to action.
- Negation lists ('No creators. No production crews. No editing bottlenecks.') create rhythm and remove objections in parallel
- Metric stacking ('UGC cost: $1 / Production time: Minutes / Scale: Instant') makes the offer feel inevitable
- Agent-based language ('autonomous AI agents handle...') makes the system feel intelligent and hands-off, not just a tool
- Closing with a gated resource ('Comment V2 and I'll D...') creates scarcity and drives comments over passive likes
Comment 'V2' to unlock a resource. This is a low-friction CTA that requires public action (comment, not DM), which increases visibility and comment count. The truncation ('and I'll D...') creates curiosity about what comes next.
Lead with a number so specific and large that it forces disbelief, then immediately prove it with system details and metrics—this combination drives both credibility and comments.
LOOK CLOSER…… How to build a fully automated AI-driven content business — no dropshipping, no crypto, no filming yourself every day 👇 This isn’t luck. It’s a repeatable system. Here’s what I did: → One AI system runs quietly in the background → Each page publishes content t…
'LOOK CLOSER……' is a visual interrupt that forces the reader to slow down and re-engage. The ellipsis creates anticipation. It works because it's a command, not a claim—it positions the reader as an active participant in discovery, not a passive consumer of information.
Hook (command + system promise) → Personal proof ('Here's what I did') → Step-by-step breakdown (AI system, publishing cadence, niche selection, validation method, recreation process) → Negation list (what's eliminated) → Monetization stacking (TikTok Shop, brand deals, margins) → Scale math ($5k–$10k/month per page) → Why it works (no employees, no face, no tools, no grind) → Closing setup (truncated). The post moves from intrigue to proof to mechanics to economics to psychology.
- Arrow notation ('→') creates visual scanning and makes each step feel like a progression, not a list
- Specific niche examples ('AI, fitness, beauty, self-care') make the system feel concrete and replicable, not theoretical
- Monetization stacking (affiliate + brand deals + scale) shows multiple revenue streams, increasing perceived opportunity
- Negation of identity markers ('No face required') removes the biggest barrier for solopreneurs who don't want to be public
Post is truncated, but the pattern is to ask for a comment or connection to unlock the full system. The truncation itself is a CTA—readers must engage to see the rest.
Use arrow notation and step-by-step breakdowns to make a complex system feel scannable and actionable; stack multiple monetization methods to increase perceived opportunity and reduce reader hesitation.
MOST PEOPLE ARE MISSING THIS. This isn’t luck — it’s a repeatable system. We built a fully automated, AI-driven content business that now generates $203,871/month, without dropshipping, crypto, or filming ourselves every day. At a high level, here’s what’s happening: - One AI…
'MOST PEOPLE ARE MISSING THIS.' uses social proof inversion—instead of saying 'everyone wants this,' it says 'most people don't see this,' which creates FOMO and positions the reader as part of an informed minority. The follow-up ('This isn't luck — it's a repeatable system.') immediately removes luck and replaces it with methodology, building credibility.
Hook (FOMO + system claim) → Revenue proof ($203,871/month) → Negation (what this isn't) → High-level system (AI background, publishing cadence, niche focus, validation, recreation) → Negation list (what's eliminated) → Comparison anchor ('like running Facebook ads in 2009') → Why it works (CPM metrics, no paid dependency, no ghost creators, no waste) → Monetization (affiliate + brand deals + scale) → Closing setup (truncated). The structure alternates between proof and explanation, building confidence incrementally.
- Revenue figure ($203,871/month) is placed early and specific, removing skepticism before it forms
- Historical comparison ('like running Facebook ads in 2009') anchors the opportunity to a known moment when early movers won
- CPM metrics ('as low as $0.09') provide proof that the economics are real, not theoretical
- Negation of common objections ('No ghost creators / No wasted product samples / No delays waiting on uploads') removes friction points before the reader thinks of them
Post is truncated, but the pattern is to ask for engagement (comment or connection) to unlock the full breakdown. The truncation creates curiosity and forces interaction.
Place your biggest proof (revenue, metric, result) early in the post, then use negation lists and historical anchors to make the opportunity feel both real and timely.
What drives their engagement
Stijn's posts generate 77.5% of engagement as comments (not likes) because he consistently asks for specific actions ('Comment V2,' 'Comment UGC') and creates knowledge gaps that readers want to fill. The posts also invite skepticism—claims like '550 videos per day' or 'AI Creator Looks Better Than Your Girlfriend' naturally trigger debate and questions in the comments.
Repost rate is very low (0.5%), suggesting Stijn optimizes for direct engagement and gated resources rather than viral spread. Posts that promise a system or framework (like the UGC workflow doc) may drive reposts, but the data shows his audience is more likely to comment and ask for access than to share.
Low—Stijn's posts are designed for immediate engagement and action (comment, connect, ask for resource), not for long-term reference. Readers engage in the moment to unlock a gated resource, then move on. This is intentional; it drives comment volume and direct relationships over passive saves.
Content pillars
AI-Powered UGC & Video Production
35%How to generate realistic product videos, creator performances, and ad variations using AI tools (VEO 3, Kling, MakeUGC) without cameras or crews.
Automated Content Business Models
40%Building fully automated, multi-page content operations that publish twice daily and monetize through TikTok Shop affiliates and brand deals.
AI Tool Stacks & Workflows
15%Specific tool combinations (VEO 3 + Nano Banana Pro, Kling 2.6 + ElevenLabs + CapCut) and step-by-step prompts for generating variations at scale.
Economics & ROI of AI Content
10%Concrete numbers on cost per video ($1), production time (minutes), and revenue per page ($5k–$10k/month) to justify the shift away from traditional content.
Hook patterns
Shocking Volume Claim
Specific number + unit of output + tool/system name
“550 videos per day.”
→ The number is so large it forces a pause; readers must click to understand how it's possible, triggering immediate curiosity.
Contrarian Bold Statement
Simple declarative sentence that contradicts the reader's assumption about what's possible
“AI product-in-hand videos just replaced my entire content workflow.”
→ It positions the writer as someone who has already solved a problem the reader is still struggling with, creating status gap that drives engagement.
Demand Validation Opener
Phrase that signals insider knowledge or a hidden pattern + 'This isn't luck'
“MOST PEOPLE ARE MISSING THIS. This isn't luck — it's a repeatable system.”
→ Combines FOMO with credibility; readers feel they've been left out and want to catch up before others do.
Visual Intrigue Hook
Unusual or provocative comparison + claim about AI capability
“This AI Creator Looks Better Than Your Girlfriend.”
→ Stops scroll through unexpected comparison; readers click to see if the claim is real or hyperbole, generating comments from skeptics.
Instruction-Based Hook
Imperative verb + visual cue + promise of system reveal
“LOOK CLOSER…… How to build a fully automated AI-driven content business”
→ Directs reader attention and frames the post as a tutorial, lowering friction to engagement.
Statistic Shock
Specific revenue figure + negation of traditional method
“$203,871/month, without dropshipping, crypto, or filming ourselves every day.”
→ Concrete proof removes skepticism; the negations show this is a new category, not a variation of old methods.
Top-performing hooks
“550 videos per day.”
“LOOK CLOSER……”
“MOST PEOPLE ARE MISSING THIS.”
“AI product-in-hand videos just replaced my entire content workflow.”
→ The post immediately grabs attention with a bold claim about replacing traditional workflows. It offers a tangible solution to a common problem (creating product videos) and provides a clear call to a
“This AI Creatot Looks Beter Than Your Grilfriend.”
“$71,659K in a single month — powered by Seedance + MakeUGC”
“NEVER hire another UGC creator again.”
“Most AI video tools try to reinvent the entire scene.”
“That’s what one AI-powered “skin therapist” page is generating right now.”
“Most people are still overcomplicating content.”
→ The post highlights a common pain point (overcomplicated content creation) and offers a simple, AI-powered solution. The promise of easy, fast, and cheap video creation, combined with a clear call to
What works
- Specific numbers in hooks (550 videos, $203,871/month, $1 cost) stop scroll because they're too precise to ignore. Readers must click to understand if the claim is real. Average engagement on posts with shocking volume claims: 155 (bold statement hooks).
- Negation lists ('No cameras. No editing marathons. No creative burnout.') remove objections in parallel and create rhythm. They work because they address the reader's pain points directly, not hypothetically.
- Gated resources (comment 'V2,' comment 'UGC') drive public comments instead of private DMs. Post 1 generated 5,387 comments (87% of its 6,196 total engagement) partly because the CTA required a public comment.
- Revenue figures and cost metrics ($5k–$10k/month, $1 per video, $0.09 CPM) make abstract systems feel concrete and achievable. They remove the 'sounds nice but is it real?' objection.
- Historical anchors ('like running Facebook ads in 2009') position the opportunity as timely and tied to a known moment when early movers won. This creates urgency without hype.
- Tool stacking (VEO 3 + Nano Banana Pro, Kling 2.6 + ElevenLabs + CapCut) shows the reader exactly what to use, removing decision paralysis. Specific tool names also make the system feel reproducible, not magical.
Steal this for your own LinkedIn
- Open with a number so specific and large that it forces disbelief ('550 videos per day'), then immediately prove it with system details and metrics. This combination stops scroll and builds credibility simultaneously.
- Use negation lists to remove objections in parallel. Instead of saying 'this is easy,' say 'No cameras. No editing marathons. No creative burnout.' Readers feel understood because you're addressing their actual pain points.
- Stack monetization methods (affiliate + brand deals + scale) to increase perceived opportunity. A single revenue stream feels fragile; multiple streams feel like a real business model.
- Place your biggest proof (revenue figure, metric, result) early in the post, before skepticism forms. Follow it immediately with 'This isn't luck — it's a repeatable system' to shift the frame from luck to methodology.
- Use arrow notation ('→') and step-by-step breakdowns to make complex systems feel scannable. Readers should be able to understand your system in 30 seconds of skimming.
- End with a gated resource that requires a public comment (not a DM or click). This drives comment volume and increases post visibility in the algorithm.
Compare Stijn with…
vs Mark A. Pfister - 'The Board Architect'
Mark A. Pfister vs Stijn Feijen: Celebration beats shock on LinkedIn
vs Oskar Moen
Oskar Moen vs Stijn Feijen: Volume beats depth on LinkedIn
vs Timi Merivirta
Stijn Feijen vs Timi Merivirta: Volume Play vs Conversion Machine
vs Orlando Belfor
Orlando Belfor vs Stijn Feijen: Community vs Conversion on LinkedIn
vs Bray Jaks
Bray Jaks vs Stijn Feijen: Vulnerability beats volume on LinkedIn
vs Kris J. Curran
Kris J. Curran vs Stijn Feijen: Authority vs Automation on LinkedIn
Get the full Stijn Feijen playbook
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Posting patterns
Stijn posts 2.4 times per week (9 posts in 30 days, 31 posts in 90 days), maintaining consistent visibility without oversaturation. This cadence allows each post to accumulate comments over several days before the next one drops.
Monday at 1 UTC (roughly 8–9 PM ET Sunday or early Monday morning in Europe). This timing suggests his audience is either US-based and checking LinkedIn before bed, or Europe-based and checking early morning.
Long-form (180–350 words) dominates at 90% of posts and averages 456 engagement. Medium-form (80–180 words) is rare and underperforms at 134 engagement. Stijn's audience expects depth and system explanation, not quick tips. The long-form allows him to move from hook to proof to mechanics to CTA without feeling rushed.
Engagement by day
Content mix
avg 149 engagements per post
avg 97 engagements per post
Stijn's 45% problem-solution format works because his audience is solopreneurs and small business owners who have a specific pain (content production bottleneck, scaling challenges) and want a specific solution (AI tools + system). The remaining 55% is system breakdowns and case studies that prove the solution works at scale. This mix builds trust through proof while maintaining teaching value. Long-form dominates (90%) because his audience needs depth to understand the system and believe it's real—quick tips would feel incomplete and untrustworthy.
