Antler

Entrepreneur in Residence

Boltd Solutions

Advising tech startups and enterprises on AI/ML product strategy and digital transformation

• Generated $600K+ annual revenue with focus on health tech and B2B SaaS sectors
• Developed AI agent trained on 10K+ solar/battery specifications, reducing commercial off-grid system quoting time by 80%
• Drove 60% revenue increase for health tech client through product-market fit optimization
• Delivered $500K annual savings for HVAC enterprise through digital transformation
• Identified $300MM market opportunity through TAM/SAM/SOM analysis influencing Seed strategy
• Helped 3 portfolio companies secure $2MM+ funding through product vision refinement
• Developing health AI platform connecting wearables/biomarkers to behavior change; targeting B2C wellness market

Strategy Product Manager | AI Agent & Business Transformation

Stan

Creator Economy B2C SaaS Platform ($35MM ARR, 65K+ Creators) - Brought in to drive rapid results

• Architected AI-powered customer reactivation system, recovering $600K ARR in 30-day sprint
• Built multi-agent AI system using Claude and GPT-4 APIs for personalized journey optimization, improving engagement 34%
• Led cross-functional initiative with engineers and product managers to build Spotify + LinkedIn partnership integration
• Designed PLG features enabling creator niche expansion, driving 40% adoption increase
• Ran 12 A/B tests in 8 weeks with average 15% conversion improvement

Lead Growth Product Manager | GTM & Partnerships channels

Branch Energy

Series A Clean Energy Startup ($10MM raised, $42MM valuation) - Company pivoted to B2B model post-departure

Employee #1 who built and scaled consumer product from zero to $7MM revenue, leading team of 15.


As Founding PM (Nov 2020 - oct 2021):
• Scaled product from idea to $7MM revenue achieving PMF with 1,000 customers in first 90 days
• Built platform architecture serving 6,000 customers with 3-person ops team (2000:1 efficiency)
• Built proprietary AI pricing algorithm and recommendation engine processing 100K+ data points daily
• Shipped 3 products: B2C energy marketplace, automated audit tool, B2B hardware/software solution
• Designed automated systems handling 80% of customer inquiries, achieving industry-leading NPS

As Head of Product & Growth (Oct 2021 - Apr 2023):
• Scaled B2B SaaS product from beta to $200K MRR in 5 months
• Managed $500K acquisition budget achieving CAC:LTV of 1:4 (industry standard 1:2.5)
• Built viral referral program generating 30% of new customer acquisitions
• Hired and managed 6 Product Managers across 5 squads, implementing 30-60-90 day onboarding playbooks
• Positioned company for strategic pivot with scalable systems enabling smooth B2B transition

Founding Product Manager → Head of Product & Operations → Head of Growth

Just Energy

$4B revenue energy retailer | 1M+ customers (residential & commercial) - Executive product leadership role.

Led enterprise-wide business systems transformation and product strategy across 10+ product lines, managing 30 direct reports and 50+ cross-functional team members.

• Drove $30MM impact through product optimization and digital transformation
• Migrated 1M+ customers and 1000+ employees from legacy systems to modern stack (Amazon Connect, Salesforce), with zero downtime, reducing operational costs by 70%
• Managed product strategy across residential and commercial segments serving 1MM+ customers globally
• Aligned 3 VPs and 8 Senior Directors on unified product vision, accelerating roadmap delivery from 2 years to 3 months

Chief of Staff to President | Group Product Manager

Amaris

Global Technology Consulting (6,000+ employees)

Rose from IC to partner track in 18 months, leading North American engineering center and strategic client engagements.

• Generated $1MM+ monthly revenue through 6 new product/service offerings and strategic partnerships
• Managed 20-30 engineers across Fortune 500 implementations (Zimmer Biomet, PointClickCare)
• Influenced critical decisions in $85M acquisition through technical due diligence
• Established partnerships with SAP, Salesforce, Oracle driving $3MM+ annual revenue
• Launched North American delivery center achieving $60K monthly revenue from day one

Technical Product Manager → Associate Partner

Engagement Manager - Lead Consultant

Technical Product Manager

Engineer IT Consultant

McKinsey & Company

- Contributed to digital transformation strategies for Fortune 500 clients
- Developed analytical frameworks still used in current product work

Consultant Internship

Rugby Club Toulonnais

- Developed elite performance mindset and discipline that directly translates to leadership

Professional Rugby Player

Product & Business Leader | Scaling Growth & Digital Transformation | Ex-Pro Athlete Applying Sports Principles to Drive Business Excellence | Leadership & Peak Performance Advocate

Product Manager with 8+ years building AI/ML, digital and SaaS products from 0→1, and scaling product and teams from 1→10, with proven ability to scale operations 1000%+ while maintaining lean teams. Track record includes $600K ARR recovery in 30 days, scaling from 0 to $7MM revenue with 3-person ops team, and driving $30MM+ enterprise impact.

Specializing in product-led growth, operational excellence, and AI-powered solutions for health tech, B2B SaaS, and Utilities Industry.

Known for systems thinking, collaborative leadership, and high-velocity execution. I bring customer obsession to every product decision, with proven platform thinking that scales from startup to enterprise.

Currently: Building AI-powered health and longevity products to gain hands on experience with Agentic products.

Let's connect - I specialize in making the impossible look inevitable.

A lot of people asked me how I do it all ... It's simple, I currently don't !
And neither do the people who look like they do.

Athlete. Founder. Husband. Dad. Travelling. Community Leader.
I’m not balancing it perfectly.
I’m experimenting… daily.
And I'm ok not reaching perfection. 

Optimal > perfect.

If you’ve called me lately, you’ve probably caught me:
walking with two dogs, coffee in hand, my son strapped to me, hunting sunlight. 
(and probably a few min late ...)
Sorry to the VCs who expect studio lighting.
Steps, sunlight, and giving my wife real "me-time" matter.
Early stage is messy.


I’m not the only one.
Emma Stern COO I respect, integrates her life around it, takes calls jumping in the car, shows up anyway.
It’s not polished. It can be messy. 
It works.

I’ve interviewed incredible CEOs for two years.
Their biggest regrets are consistent:
missing the little milestones,
not being present with their partner,
neglecting their health.
All of them.

So here’s my rule:
𝗣𝗿𝗼𝘁𝗲𝗰𝘁 𝘁𝗵𝗲 𝗼𝗻𝗲-𝘄𝗮𝘆 𝗱𝗼𝗼𝗿𝘀 (time with family, health).
𝗠𝗼𝘃𝗲 𝗳𝗮𝘀𝘁 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝘁𝗵𝗲 𝘁𝘄𝗼-𝘄𝗮𝘆 𝗱𝗼𝗼𝗿𝘀 (work choices you can reverse).
And accept that “enough” in each area is a moving target.

Consistency beats perfection.
Presence beats performance theatre.

𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝘆𝗼𝘂: 
What will you choose to be imperfect at this week - so you don’t regret the things you can’t get back?

And 𝗬𝗘𝗦 - this time I hooked you with a cute baby AND two cute dogs !

Robin Ayme

Building AI Health & Longevity Products | Cross-functional Leader | 0→1 + Scale Expert | Ex-Pro-Athlete

Excited to share I’ve been accepted into the next Antler residency in Toronto. Antler 🎉
This fall I’ll be in a room of builders in the (cold) Toronto - testing fast, killing bad ideas faster, and shipping.

After spending the last few months researching, writing and building in the 𝗰𝗼𝗻𝘀𝘂𝗺𝗲𝗿 𝗵𝗲𝗮𝗹𝘁𝗵/𝘄𝗲𝗹𝗹𝗻𝗲𝘀𝘀 𝘀𝗽𝗮𝗰𝗲 + interviewing 100s stakeholders (founders, clinicians, end users, investors ...) ,I realized that:

• Consumers are drowning in health and wellness information, struggling to take action, and maintain it.
• Current solutions lack synthesis (point solutions), are myopic in their outlook (wearables) or too episodic to drive lasting change (diagnostics/wrappers)
• Everyone in the world deserves a personalized health protocol instead of the population-based, cookie cutter protocols of today

𝗪𝗵𝗮𝘁 𝗜’𝗺 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴:
Well if you followed my last 30 days challenge in July ... you might have an idea. 

The goal is to define what “Medicine 3.0” really means and need:
• 𝗣𝘂𝗿𝗽𝗼𝘀𝗲: sick care → 𝗵𝗲𝗮𝗹𝘁𝗵 𝗰𝗮𝗿𝗲 (prevent the fire)
• 𝗧𝗶𝗺𝗲: episodic → 𝗰𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 (real-time signals)
• 𝗙𝗶𝘁: one-size → 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹 (biomarkers + multi-omics)
• 𝗜𝗻𝘁𝗲𝗿𝘃𝗲𝗻𝘁𝗶𝗼𝗻: symptom-led → 𝗽𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲 (act today)
• 𝗪𝗶𝘀𝗱𝗼𝗺: single source → 𝘁𝗿𝘂𝘀𝘁𝗲𝗱 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 (clinicians + validated tech)
• 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆: hospital-only → 𝗵𝘆𝗯𝗿𝗶𝗱 𝗮𝗰𝗰𝗲𝘀𝘀 (anywhere)
• 𝗧𝗲𝗰𝗵: tools → 𝘁𝗲𝗮𝗺𝗺𝗮𝘁𝗲 (AI scales and augment great care, doesn’t replace it)

If you run a 𝗰𝗹𝗶𝗻𝗶𝗰 𝗼𝗿 𝗵𝗶𝗴𝗵-𝗲𝗻𝗱 𝗴𝘆𝗺 and want to:
• increase adherence & retention
• personalize upsells the right way
• create value between visits
  
…let’s co-build a pilot. DM me or comment 𝗞𝗔𝗜 and I’ll reach out.

Your health app says “skip the beer.” Your health says “call a friend.”

Most health apps say no to beer. Sometimes saying yes makes you healthier. Loneliness can harm more than a pint helps.

There are four signals you have to read at once: biology (sleep, labs, HRV), behavior (training, meals, bedtime), social (belonging, reciprocity), and context (workload, travel, season). Miss one and your “optimal” choice isn’t.

One beer can raise health if it restores belonging and improves follow-through. The biological cost is small; the second-order gain—lower stress, steadier routines—can be large. Optimize tonight’s metrics and you often sacrifice tomorrow’s consistency.

Net Impact = Biology × Belonging × Follow-through.
If any term is near zero, the net is near zero. Biology is the acute hit. Belonging buffers stress. Follow-through is whether tonight’s choice makes tomorrow’s plan easier to do.

Friday, 9 pm. Heavy week. Mood flat. A friend texts. Most apps flash red: alcohol hurts sleep. A smarter coach looks wider: three solo nights, easy run tomorrow. It okays one beer, adds water, a hard 11 pm cutoff, and a wind-down. You train on Saturday as planned.

Today’s choice changes tomorrow’s ease. Social micro-wins lower friction → lower friction boosts follow-through → follow-through compounds physiology over weeks.

I noticed while writing that belonging behaves like a hidden recovery metric. Dose it.

Wearables adding labs flipped the cadence of care. Health is becoming a daily loop, not a yearly appointment.

ŌURA and WHOOP moved first in force. Oura’s Health Panels put ~50 biomarkers next to your sleep and stress, with an AI advisor and clinician escalation when needed. WHOOP’s Advanced Labs tie ~65 markers to readiness, strain, and recovery, with clinician review and a large early waitlist. Function Health showed the appetite for diagnostics-as-product; 
Superpower points biomarkers at coaching and marketplace.

There are three kinds of builders now. 
-> Data-maximalists chase more markers. 
-> Loop-closers tie numbers to nudges. 
-> Human-interpreters model context—goals, constraints, mood, season—and change the plan when life does. 

Only the last explains why today should differ from yesterday.

The bottleneck isn’t measurement anymore. It’s behavior. New signal helps until it hits a Tuesday full of meetings and a sick kid. Systems that notice this survive. Systems that don’t become dashboards people stop opening.

Outcome = Signal × Adoption. 

Signal faces diminishing returns. Adoption compounds with trust, simplicity, and relevance. If you can only push one side daily, push adoption.

Example: Two users share the same labs. One slept four hours on a red-eye. The human-aware system swaps intervals for a walk and protein. The habit doesn’t break. The numbers improve next month because adherence survived this week.

I only saw this while writing: most “personalization” ends at physiology. The hard part is psychology.

Open question: what’s the minimum context a health OS must learn about you to earn daily trust?

PS - If you don't know it yet, I'm building in the space. And you're not ready for it.

𝐓𝐡𝐞 𝐎𝐧𝐞-𝐒𝐢𝐳𝐞-𝐅𝐢𝐭𝐬-𝐀𝐥𝐥 𝐀𝐩𝐩 𝐏𝐫𝐨𝐛𝐥𝐞𝐦

I’ve trialed hundreds of health apps. Most fail the same way.

𝐇𝐞𝐫𝐞’𝐬 𝐰𝐡𝐲 “𝐨𝐧𝐞 𝐩𝐥𝐚𝐧 𝐟𝐨𝐫 𝐞𝐯𝐞𝐫𝐲𝐨𝐧𝐞” 𝐝𝐢𝐞𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐥𝐚𝐬𝐭 𝐦𝐢𝐥𝐞

💡 Apps sell universals. Bodies run on particulars.
Macros, steps, bedtime—fine. But your recovery debt, circadian shift, iron status, and training block are not mine.

💡 Dashboards ≠ decisions.
Ten graphs don’t beat one timely nudge: “Skip HIIT today; HRV tanked; do 30 min Zone 2 + 10 mins breathwork.”

💡 The shift I’m betting on:
From → generic plans and streaks
To → agentic health: an AI that knows you, adapts daily, and coordinates your wearables, labs, and calendar.

If you don’t 𝙛𝙚𝙚𝙡 better and do better within 14 days, it isn’t personalized—it’s decorated generic.

👉 I’m not anti-app. I’m anti-pretend-personalization. The future is adaptive, not average.

Repost ♻️ if this resonates.

The classic question from VCs and Accelerators, “What if OpenAI builds it?”.

Well ... if OpenAI wants your idea, 3–5 of their people will clone it in 2–3 weeks.

Building the "Voice Agent" for [insert your Niche] ... cool, they are coming for you. 

Building the "Agent" that automate a [WorkflowNiche] for [insert your Niche] ... cool, they are coming for you as well ;) 

The same way Amazon did for products. 
The same way AWS did for Platforms (e.g Amazon Connect vs. Twillio), etc. 

Features are easy; distribution, data, and trust aren’t.

General models copy outputs; they don’t copy context, contracts, brand or community.

If competition scares you, you’re solving the wrong problem.
If competition scares you, you should probably not be playing in this arena.

Everyone’s obsessed with scale.
Automate outreach. Scrape leads. Send 1,000 messages a day. I’ve done it too.

But this morning, while walking my dogs (they almost ate a squirrel), a guy made a joke about it. We started talking. Turns out he delivers medical devices to pro sports teams and works with clinics I’ve been trying to reach for months. He offered to connect me.

No funnel. No cold message. Just proximity and curiosity.

There are two kinds of opportunities: manufactured and emergent.
Manufactured ones come from systems—outreach, ads, funnels.
Emergent ones come from collisions—chance meetings, loose ties, shared jokes about squirrels.

The funny thing is, you can’t A/B test emergence. You just have to be present enough to notice it.

Efficiency = Focus × Presence. Most people optimize for focus. Few for presence.

One of my best deals ever started on a paddleboard, not in a CRM.

I only realized this while writing: the best network isn’t built—it’s lived.

When was the last time you looked up?

𝗠𝗼𝗿𝗲 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗧𝗵𝗮𝗻 𝗔𝗻𝘆 𝗦𝘂𝗽𝗽𝗹𝗲𝗺𝗲𝗻𝘁: 𝗕𝗲𝗹𝗼𝗻𝗴𝗶𝗻𝗴.
I walked into Heal House expecting a functional medicine clinic. What I didn’t expect was a speakeasy.

Yes, they have the full stack of preventive care: advanced diagnostics, IV therapy, red light, hydrotherapy, PMF mat - all the tools to keep you well before you get sick. 

But what struck me most was this: in the middle of all that science, 𝘁𝗵𝗲𝘆 𝗯𝘂𝗶𝗹𝘁 𝗮 𝘀𝗽𝗮𝗰𝗲 𝗳𝗼𝗿 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝗼𝗻.

A room designed for weekly dinners, events, and community.

Because health isn’t just blood panels and scans. It’s belonging. It’s conversation. It’s breaking bread with people who see you.

We often obsess over the latest wearable, the newest protocol, the next supplement. But the longest-lived people in the world share one common factor: community.

I'm a big believer that community & connection is key for behaviour change at scale in the health/wellness space -eg. Othership, or the rise of run clubs. 

Heal House and its founder Joe Lu understood this truth and built it into the architecture of their care. 

That’s rare. And it’s the detail that will matter most.

For any clinic leaders reading: imagine what happens when this kind of experience is scaled. That’s the work we’re doing with Kai. Reach out if you’re curious.

I invested in a $5000 Sonos system, and it keeps crashing when I need it the most: 

Sunday morning chill. 

Can someone just have an agent that goes through the settings and resolves it?

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WEEK 1 — Building the Longevity Companion: cracking your unique health equation.

Day 1 to 3 at Antler felt like this:
A corridor of faces.
Back-to-back sessions.
Noise, names, pitch after pitch.
And a severe Cold taking over my health. 
WHOOP flashing my lowest recovery. ŌURA saying I’m fine. (screenshots attached). Still don't know who to TRUST. 

Some thoughts ... 

I’m an introvert.
That doesn’t mean I don’t like people.
It means I pay a high price for depth.

By lunch I was dizzy. By 9pm I was on a client call I almost lost.
Not glamorous.
Just the job: keep the promise, fix the thing, sleep.

Here’s the hard part of an accelerator when you’re already further along:
You’re shipping and you’re searching.
Validation and customers pull you narrow; design sprints pull you wide.
The real work is protecting momentum while staying open to the co-founder who makes it 10x better.

What I’m building: a longevity companion that learns your unique equation
(sleep, stress, light, training, life context, YOU as a human) 
and turns it into one clear decision: push, maintain, or pull back.
Because two trackers can disagree… but your day still needs an answer.

Observation from the room:
A lot of smart people are choosing the efficient path: 
apply high-leverage skills to cash-flowing, underserved, non-technical niches.
Beautiful equation.
If resolving something big in the health/wellness industry didn’t keep pulling me, I’d do the same.

But it does.
The signals are loud. The pain is real.
I want to help people feel better, not just perform better.

A mentor once killed my sales impostor syndrome:
“People remember introverts because you don’t skate the surface.”
That line saved my week.
I stopped performing. I connected, one conversation at a time.

What I’m keeping front-of-mind:

1. Depth > volume. One real conversation beats ten surface hellos.

2. Protect one-way doors. Family, health, customers, momentum.

3. One signal > ten dashboards. Turn conflict (WHOOP vs Oura) into a decision.

Grateful for the room.
Grateful I could pitch with a fever and still learn from builders chasing hard problems.

Week 2: fewer events, more proof.

Week 1 at an Accelerator: An Introvert's Journey

The pattern is brutal in its simplicity:
1. See something annoying
2. Fix it for yourself  
3. Friends want it too
4. Accidentally build a billion-dollar company

𝐅𝐫𝐨𝐦 𝐀𝐩𝐩𝐬 𝐭𝐨 𝐀𝐠𝐞𝐧𝐭𝐬: 𝐖𝐡𝐨 𝐃𝐨𝐞𝐬 𝐖𝐡𝐚𝐭 (𝐚𝐧𝐝 𝐖𝐡𝐚𝐭’𝐬 𝐌𝐢𝐬𝐬𝐢𝐧𝐠)

Measure (wearables) — great at signals, light on decisions
WHOOP, ŌURA, Apple Watch, Garmin, POLAR, Ultrahuman
Limit: data firehose, little day-by-day synthesis.

Sleep/Recovery hardware — deep slice, narrow scope
Eight Sleep, ChiliSleep, Muse
Limit: optimizes a lane; won’t plan your week.

Nutrition & metabolism — useful, but context-blind
Levels (CGM), Cronometer, MyFitnessPal, Zoe, Carbon
Limit: numbers without life context (travel, stress, games).

Labs & biomarkers — rich inputs, slow loops
Function Health, Superpower, InsideTracker, Lifeforce, Marek, Everlywell, Thriva
Limit: quarterly data doesn’t steer Tuesday.

Training & performance — plans, not planners
TrainingPeaks, Strava, Nike Run Club, Tonal, Peloton Interactive, Zwift
Limit: rigid plans struggle when sleep/timing change.

Coaching & programs — human layer, inconsistent feedback
Future, Caliber, Wild Health, Stronger U
Limit: great advice, but data rarely auto-reconciles.

Longevity clinics & memberships — comprehensive, episodic
Monarch Athletic Club, Fountain Life, Forward, Sollis Health Human Longevity
Limit: outcomes leak between visits.

Data hubs — aggregation, not orchestration
Apple Health, Google Fit, Heads Up Health
Limit: storage ≠ decisions.

Emerging agentic enablers— closer, not complete
ONVY HealthTech, Sahha, Basalt Health, Humanity
Limit: early promise; few truly coordinate across labs, wearables, calendar, and goals.

in a world where healthcare is noisy, episodic, and optimized for billing instead of outcomes:

the value of longitudinal data (labs + wearables + context) goes up
the value of between-visit guidance goes up
the value of identity-based coaching (“you’re an athlete”) goes up
the value of a single weekly health signal goes up
the value of clinician-aligned incentives (outcomes > visits) goes up
the value of device-agnostic interoperability goes up
the value of unbiased advice (no upselling kickbacks) goes up
the value of privacy, provenance, and audit trails goes up
the value of explainable recommendations goes up
the value of adherence tracking (did it happen?) goes up
the value of human-in-the-loop escalation goes up
the value of trusted brands and design partners (clinics, gyms) goes up
the value of context fusion (biology × lifestyle × psychology) goes up
the value of calm tech (less screen, more guidance) goes up
the value of communities that reinforce behavior goes up
the value of outcome-based business models goes up

the value of one-off “optimization” protocols goes down
the value of generic symptom checkers goes down
the value of siloed dashboards and step counts goes down
the value of fear-based health marketing goes down
the value of me-too health apps wrapping the same APIs goes down
the value of influencer protocols without context goes down
the value of concierge-only solutions with $50k + price tags goes down
the value of data hoarding without action goes down
the value of episodic care with zero follow-through goes down
the value of engagement addiction (notifications ≠ outcomes) goes down
the value of copy-paste coaching goes down
the value of thin moats built on “AI slop” goes down

this is the new normal.

we’re building for it: a trusted, unbiased health companion that knows your data and knows you—delivering one clear plan each week and keeping you on track between visits.

Most people tell me what I’m building is “hard.”
𝗚𝗼𝗼𝗱. 𝗛𝗮𝗿𝗱 𝗶𝘀 𝘁𝗵𝗲 𝗽𝗼𝗶𝗻𝘁.

If everyone optimized for “easy,” we wouldn’t have:

• Rockets that land themselves (SpaceX).
• Cars that update overnight and made EVs mainstream (Tesla).
• Vaccines coded like software and deployed at scale (mRNA).

Right now, everyone’s sprinting into B2B AI SaaS verticals. It feels “easy.”
The hard part is coming: distribution. When your features can be cloned in a weekend, you don’t have a product - you have a demo. You’ll then need a real wedge, a ruthless sales engine, and a reason to exist that isn’t “GPT in a wrapper.”

𝗛𝗮𝗿𝗱 𝗶𝘀 𝗮 𝗳𝗶𝗹𝘁𝗲𝗿. 𝗜𝘁 𝗸𝗲𝗲𝗽𝘀 𝘁𝗼𝘂𝗿𝗶𝘀𝘁𝘀 𝗼𝘂𝘁.

I’m choosing the hard thing: turning scattered health data into behavior change people actually do.
One signal. One next best action.
Co-built with clinics and high-end gyms.
Measured by adherence and outcomes, not dashboards.

Operating rules:

• Ship reality, not decks.
• Own distribution from day one.
• Build moats with data, workflow, and trust.

Optimize for behavior change - because that’s where lives get better.

If you’re building the hard stuff - or want to design-partner - DM me.

I HATE recurring meetings, but I have a recurring event in my calendar every single month.

Last month was… intense.

Building a team.
Managing clients and investor calls.
Meeting incredible people.
Being a dad to a newborn.
Supporting my wife.
Preparing to move houses.
Taking care of my own health. 

Life has been pulling me in every direction.

When things get this busy, it’s so easy to confuse motion with progress.
To feel like you’re moving fast, but without clarity on whether it’s in the right direction.

That’s why, once a month, I have a recurring event in my calendar:
A check-in with myself.

Just 30 minutes to pause and ask three simple questions:
	1.	What really matters right now?
	2.	Are my systems aligned with my big goals?
	3.	What do I need to cut to move forward faster?

Even 15 minutes of clarity can be the difference between being reactive and being intentional.

This small ritual has kept me grounded through the chaos.

I’m curious, as we head into the weekend and end of the month: 
What do you do each month to stay aligned with what really matters?

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's Best Posts .css-qqfgvy{font-size:var(--chakra-fontSizes-md);}(last 30 days)

Want to drive more opportunities from LinkedIn?

Robin Ayme's Linkedin Analytics

's Best Posts (last 30 days)