
Building an AI-native holdco at SageCreek AI | We acquire service businesses and own the EBITDA / Rev expansion | YC W19 | Ex-JPMorgan AI
Connor McLeod writes tactical founder advice in the VC/startup space, posting 5.5x per week with medium-length posts (80-180 words) that average 27 engagements. His most distinctive move is leading with contrarian claims that flip conventional wisdom (e.g., 'You need customers before you need a platform'), then backing them with specific experience and pattern recognition from 'hundreds of companies.'
5.5/wk
72 posts in 30d
27
avg per post
21.6%
comments / total
1.9%
reposts / total
story
Wed Β· 12 PM CET
Connor writes like a battle-tested operator who's seen what works and what doesn't. He's direct without being harsh, mixing casual confidence ('I get it') with earned credibility ('I've watched hundreds of companies burn through runway'). He uses short, punchy sentences to create momentum and sprinkles in self-aware humor ('maybe I'll post about this some other time... π'). The tone says: I've been in the trenches, I'm not selling you theory, and I'm willing to say what everyone's thinking but won't say out loud.
Their highest-engagement posts, broken down line by line. Steal the structure.
You need customers before you need a platform. I get it. Your engineering team wants to build it "right" from day one. Potential investors are asking about scalability. Your friends and advisors are warning about technical debt. Here's the thing: Most startups die with perfectly architected products that no one wanted. I've watched hundreds of companies burn through runway building enterprise-grade platforms before validating a single customer would pay. They had Kubernetes clusters handling zero traffic. They had 99.9% uptime for services no one used. The companies that succeeded? They sold first, then scrambled to build. That's not reckless. That's risk mitigation. Your first 10 customers aren't buying your infrastructure. They're buying your ability to solve their specific problem. They know you're early. They expect rough edges. What they need is confidence you understand their pain deeply enough to eventually eliminate it. The vibe-coded MVP isn't about cutting corners. It's about being surgical with your focus. Design the experience. Sell the vision. Build what customers actually pay for. I've seen and experienced in the 0-to-1 trenches with dozens of founders who built real businesses this way. They didn't start with microservices. They started with customer conversations and Stripe payment links. The result? Product-market fit in months, not years. Revenue before Series A. Technical debt that's actually worth paying down because customers exist to demand it. Stop building solutions to imaginary problems. Start solving real problems with imaginary products. Then make them real.
The hook 'You need customers before you need a platform' is a direct contradiction of what engineering teams and investors typically push for. It stops the scroll because it's immediately actionable and challenges the reader's current approach. The specificity (customers vs. platform, not just 'build lean') makes it memorable.
Opens with the contrarian claim, then acknowledges the counter-pressure (engineering team, investors, advisors), then pivots to pattern evidence ('Most startups die with perfectly architected products'), then provides concrete examples (Kubernetes clusters, 99.9% uptime), then reframes the solution (sell first, build second), and closes with a reframing of MVP as 'surgical focus' not 'cutting corners.'
Ends with 'I've seen and experienced in the 0-to-1 trenches with dozens of founders who bu...' (truncated). The CTA is implicit: apply this logic to your startup. The post drives comments because it challenges a deeply held belief and offers a counterintuitive path forward that readers want to debate or validate.
Lead with the contrarian claim, immediately acknowledge why readers believe the opposite, then provide pattern evidence and vivid examples to make the new claim feel earned and safe to adopt.
Last week an incredible chapter of my life closed. After a lot of thought, discussion and reflection, my ride at Nerd, and Perspect, has come to an end. I learned and accomplished a lot - from scaling the product and design team from 1 to ~25, shipping a blockchain loyalty platβ¦
The hook 'Last week an incredible chapter of my life closed' is emotionally loaded and vague enough to create curiosity. It signals a major life event without revealing it, forcing readers to keep reading. The phrase 'incredible chapter' is positive, so readers expect a win or learning, not a failure.
Opens with the emotional hook, then reveals the transition (leaving Nerd/Perspect), then provides a detailed recap of accomplishments (scaling team 1 to 25, shipping blockchain loyalty platform, growing MRR from thousands to $100k+), then signals openness to new opportunities (advisory, coaching, startup groups), and closes with gratitude and a call to action for community.
Closes with 'Here's to all the Nerds and all the awesome friends I had the chance to innovate with along the way.' This is a gratitude play that drives comments because readers want to either congratulate him, ask about the next move, or offer opportunities. The post is a soft landing announcement that builds goodwill.
When announcing a transition, lead with emotion, back it with quantified wins, praise your team generously, and end with openness to community. This drives engagement because readers feel invited to participate in your next chapter.
Iβm happy to share that Iβm starting a new position as Pirate at Obruni Labs!
The hook 'How many of your developers are playing League of Legends when they should be working? π¨' is provocative and assumes a problem (low productivity). The emoji signals urgency and prevents the question from feeling accusatory. It's designed to make engineering leaders and managers feel seen and slightly defensive, which drives engagement.
Opens with the provocative question, then cites the source (Dimitar Bakardzhiev on Andrew Boyagi's thread), then presents two competing assumptions (business leaders think % of non-workers is high; engineers think it's low), then flips the equation (Netflix/productivity correlation is wrong; strategy/culture is the real driver), then provides a solution framework (outcome-driven companies, good strategy, clear timelines, visionary leaders).
The post is truncated, but the structure suggests it ends with a framework for leaders to implement. The high comment count (32 out of 83 engagement) suggests readers are debating the premise, which means the hook successfully triggered disagreement and discussion.
Use a provocative question to surface a hidden assumption, then flip the conventional wisdom with a better equation or framework. This drives comments because readers want to either defend the old model or celebrate the new one.
Connor's posts drive comments (21.6% conversation index) by presenting contrarian claims that challenge readers' current beliefs or practices. Posts like 'You need customers before you need a platform' and 'How many of your developers are playing League of Legends' invite debate because they flip conventional wisdom and ask readers to reconsider their approach.
Repost rate is low (1.9%), suggesting Connor's content is more personal advice than universal wisdom. Reposts likely come from posts with clear frameworks or actionable solutions (e.g., the engineering culture post with bullet-point solutions) that readers want to share with their teams.
Low savability signal. Connor optimizes for reach and comment-driven discussion, not reference material. His posts are meant to spark immediate debate and reflection, not serve as long-term resources.
Teaches founders to validate customer demand before over-engineering, using pattern recognition from failed startups to argue for speed over perfection.
Explores how strategy, leadership clarity, and outcome-driven thinking affect engineering productivity and team morale.
Shares wins, transitions, and lessons learned from scaling teams and products, positioning himself as a relatable founder-operator.
Announces founder meetups, hackathons, and networking opportunities, using scarcity and social proof to drive attendance.
Covers practical AI tooling and data science use cases for startups, tied to his current work and interests.
Restate the conventional wisdom, then immediately flip it with 'Here's the thing:' or 'That's not X, that's Y.'
βYou need customers before you need a platform. / Here's the thing: Most startups die with perfectly architected products that no one wanted.β
β Creates cognitive dissonance that forces readers to keep reading to resolve the tension.
Ask a question that implies a problem or assumption, often with an emoji to signal urgency or humor.
βHow many of your developers are playing League of Legends when they should be working? π¨β
β Questions activate reader participation and make them feel seen; the emoji signals tone and prevents misinterpretation.
'You can't find [X] anywhere. Trust me. I've looked.' Establishes both rarity and credibility in one move.
βYou can't find events like this anywhere. Trust me. I've looked.β
β Combines FOMO with earned credibility, making the reader believe the claim is backed by real search effort.
Open with a life event ('Last week an incredible chapter closed') that signals a story worth reading.
βLast week an incredible chapter of my life closed.β
β Taps into curiosity and positions the founder as human and transparent, building parasocial connection.
Lead with a concrete number or achievement tied to a company or role, then expand on the learning.
βI'm happy to share that I'm starting a new position as Pirate at Obruni Labs!β
β Gives readers a concrete reason to engage and signals the post will contain insider knowledge.
βYou need customers before you need a platform.β
βLast week an incredible chapter of my life closed.β
βIβm happy to share that Iβm starting a new position as Pirate at Obruni Labs!β
βHow many of your developers are playing League of Legends when they should be working? π¨β
β The post challenges a common business leader assumption with a provocative opening question, then reframes the real problem from employee laziness to poor strategy/culture, making it highly relatable
βYou canβt find events like this anywhere.β
β The post combines exclusivity messaging ('can't find events like this anywhere') with specific, tangible incentives (cash prizes, networking with 50+ experts) and a clear problem-solution narrative th
βLinkedin - I have to tell you something I'm absolutely STOKED about.β
βI had lunch yesterday with a Utah founder that sold his startup to Bill Gates.β
βI'm 90% sure Greg Butterfield set up OpenClaw on his laptop last week because he suddenly started responding to emails at 3am with perfect grammar.β
βTalked to a marketing VP this week that said he gets 10 AI pitches a week.β
βMeasuring outputs alone is weak sauce. Productivity MUST be tied to outcomes.β
β The post establishes authority by respectfully challenging a recognized expert (Abi Noda) while providing a nuanced counterargument backed by multiple thought leaders, creating engagement through inte
Hook templates, content calendar, posting cadence, and the exact frameworks they use - delivered to your inbox.
Connor posts 5.5 times per week (72 posts in 72 days), maintaining consistent presence with no gaps. This high frequency keeps him visible in followers' feeds and signals active engagement with the community.
Posts perform best on Wednesdays at 11 UTC. This timing likely captures US business hours (early morning on the East Coast, mid-morning on the West Coast) when founders and operators are checking LinkedIn during work.
Medium-length posts (80-180 words) are his bread and butter at 47% of posts and averaging 21 engagement. However, long-form posts (180-350 words) average 53 engagement, suggesting that when he goes deeper, readers reward it with more interaction. The sweet spot is 150-250 words: long enough to provide pattern evidence and examples, short enough to hold attention.
avg 22 engagements per post
Connor's format mix works because he balances tactical advice (product strategy, engineering culture) with personal transparency (career moves, team wins). The high posting frequency (5.5x per week) keeps him visible without overwhelming followers, while the medium-length sweet spot (80-180 words) allows him to provide pattern evidence and examples without losing attention. His low story rate (4%) suggests he reserves narrative for major announcements, which makes those posts feel more significant when they arrive.

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