Alexy Joven

Modjo

Growth partner for technical projects. 
We've helped 70+ blockchain/AI/deep tech companies develop winning narratives and growth experiments. 
We transform tech into revenue.

DM me to get an actionable breakdown of your growth bottlenecks in 30 minutes.
More info: https://www.modjo.me/

Co-Founder

Techstars

Techstars is a leading pre-seed venture capital firm, investing in a diverse, global pool of entrepreneurs and high-growth companies.

Mentor

OnePiece Labs

OnePiece Labs | Incubator | Web3 startups
OnePiece Ventures | Early stage crypto fund | Silicon Valley

bl0x

Led crypto projects on the growth and strategic side.

Clients: Binance, Ledger, Animoca, PMU, Lacoste.. 50+

-Growth (Influence, Content, PR, Collabs)
-Community, content & social media management

Growth Marketing | Business Development

We tried to do a marketing agency, we were good at marketing and growth but had no clue about sales. 

Credentials: https://express.adobe.com/page/wBjJAtPWdU1sK/
IG | https://www.instagram.com/modjo.be/
IG | https://www.instagram.com/gerard.bakery/
IG | https://www.instagram.com/jeuxdhiver/
IG | https://www.instagram.com/greenin.be/
Marketing agency & events

Founder & Marketing

Green -In

4k+ people electronic music festivals in Brussels, with its marketplace, the Green Village, composed of several local and sustainable start-ups and NGOs.

Founder

Red Bull

Negotiating Red Bull partnerships with every student associations in Brussels.
Implementing the marketing and branding strategies in Brussels.

Student Brand Manager

Modjo | Your growth marketing partner to attract customers and scale revenue.

Growth Orchestrator | Building AI-powered growth systems for tech companies

I orchestrate momentum from disconnected pieces.

Built growth systems that helped projects lock $26M with $30k spend. 
Scaled companies from 0 to thousands through systematic growth mechanics.

Led 50+ projects across the full spectrum - growth, marketing, design, content, community, events, email, analytics. Managed teams of 20+ people. This range taught me to see the whole board, not just individual pieces.

Now I build AI-powered systems that multiply growth efforts:
→ Design psychological loops that make complex tech spread
→ Create growth systems that attract customers and scale revenue systematically
→ Connect technical innovation with market adoption

Building Modjo - where we implement growth orchestration for tech companies ready to scale.

Technical dives: https://x.com/SenorAlex__
Work with us: https://www.modjo.me/

Co-Founder & Marketing

Web3 & Web2 Growth Marketing Collective
Strategy | Operations | Branding
Dive into my bio for my Web3 journey.
Explore our website for our success stories!

Formula to make $30K MRR in 30 days

Tested with 3 SaaS companies in 2025 ⤵


This is an infinite growth flywheel. 
Works for any product-led SaaS

Fully bootstrapped

Phase 1: ICP Discovery 
→ LinkedIn + Sales Navigator for targeting 
→ Apollo for data enrichment 
→ PhantomBuster for automation 
→ Connect with ~100-150 ICPs per week

Phase 2: Outreach Automation
→ Expandi or LinkedHelper for connection automation 
→ HubSpot or Attio as your CRM 
→ Scale systematically

Phase 3: Lead Magnet Creation 
→ Notion for templates 
→ Canva for design 
→ Claude Opus 4.1 for ideation 
→ Claude Sonnet 4.5 for iteration 
→ Typeform for lead capture 
→ Product link embedded inside

Post on LinkedIn: "Comment [KEYWORD] to get access"
Comments boost reach significantly

Phase 4: Website 
→ Webflow for landing pages 
→ Wistia for video hosting 

Phase 5: Content Machine 
→ Notion database for hook library 
→ Claude Sonnet 4.5 for copywriting 
→ beehiiv for newsletters

DM everyone who comments
Send the lead magnet

If your ICP targeting is good and lead magnet brings value = first sales

But here's where most people stop

Phase 6: Scale with Creators 
→ Find 10 creators in your niche 
→ 100K-1M+ views per video 
→ Automate payments via Stripe 
→ They post across: LinkedIn, YouTube, TikTok, Twitter, Email

More sales → More creator budget → More distribution

This creates the infinite flywheel

Automation Hub: 
→ n8n connects all your tools 
→ Customer.io for marketing automation 

Tracking: 
→ Google Analytics for web + YouTube 
→ LinkedIn, TikTok, Twitter native analytics 
→ Notion for creator performance

Collaboration: 
→ Slack for team comms' 
→ Loom for async videos 
→ Notion for documentation


What we learned:

Chasing random tactics didn't help us
Building systematic infrastructure did

Hope this helps someone build their system

Growth Marketing Strategy | Web3

My Web3 marketing adventure started in 2020.
Had fun leading 50+ projects on the strategic side raising more than €120M+ and scaling an agency marketing team to over 20 people serving both the agency and the 50+ portfolio companies, managing teams in growth marketing, design, content, community, events, email, analytics and SEO.

Actual moves: https://twitter.com/SenorAlex__

Founder @ Modjo | Growth marketing collective | I also talk about tech.

The first consumer humanoid robot just went on sale.

NOE by 1X - backed by OpenAI

$20k to own. $499/month to subscribe.

Ships 2026.

It does laundry, takes out trash, vacuums your house.

The tech isn't the only interesting part.
They priced it like a car payment, not a luxury product.

$499/month means millions of households could try it. 

Which means their AI learns from millions of real homes. 
Which means it actually gets good at folding your t-shirts.

For most frontier tech companies, the bottleneck isn't building it. 

It's getting it into enough hands to make it work.

One of my posts hit 300K views. Zero leads.

Another got 8K views. 7 qualified leads. Here's what I learned ⤵


When I posted our $2M revenue milestone, everyone celebrated.

But who showed up? 
Agency owners. Aspiring entrepreneurs. 

Great people.

None of them my ICP.
Not a single frontier tech founder.

When I posted a framework about content strategy?
Crickets from the algorithm.

But my DMs filled with CTOs, AI founders, deep tech builders asking:
"Can you do this for us?"

The difference?

The $2M post was about me. 
The framework post was about them.

This is exactly why we built the temperature mapping framework.

Cold content (broad reach) → Builds awareness 
Hot content (specific value) → Drives revenue

I see this pattern everywhere:

People reposting AI news. 
Hot takes on OpenAI. 

Huge reach. Zero influence.

When founders need help, they don't DM the news aggregator.
They DM the person who showed them how to solve their problem.

Do I still want the dopamine hit when a post goes viral? 
Of course.

But I've learned to give patience time.
I live my life. I experiment. I help people who ask.

And it compounds.

The founders who DM me six months after reading a "boring" post? 
They become clients.


Influence isn't built in a day. 
It's built in a thousand small moments of actually helping people.

Someone photographed me mid-selfie at TechCrunch Disrupt.

Next to me, the 20 best startups of the event, incredible ones ⤵


Bleeding stops in 60 seconds. 
GPS-free navigation to 10cm. 
AI as an immune system for AI.

One hits $1B in 3 years.

The full lineup:

→ MacroCycle Technologies
Upcycling plastic waste into virgin-grade resin at zero carbon
→ MIRAQULES
Nano-biomaterials that stop bleeding within one minute
→ Nephrogen
AI-powered platform discovering gene-delivery vectors for kidney diseases
→ COI Energy
AI platform eliminating commercial energy waste
→ RADiCAIT
AI generating synthetic PET images from CT scans
→ Mbodi AI 
Teaching robots new skills via natural language in minutes 
→ Skyline Nav AI | Pathfinder
GPS-free navigation accurate to 10-100cm using computer vision 
→ Strong by Form
Ultra-light timber composites replacing steel and concrete 
→ Pytho AI
AI-powered mission planning tools for defense and military 
→ Glīd
Autonomous, electrified road-to-rail freight transport 
→ Identifee
Customer engagement platform for financial institutions with AI-powered CRM
→ CyDeploy
AI-powered cybersecurity testing with digital twin sandbox environments
→ Charter
Spacecraft engineering management software with automated insurance underwriting
→ Cyphr
AI-powered small business lending platform analyzing cash flow for creditworthiness
→ Mappa
AI voice analysis platform decoding human behavior for hiring decisions
→ Super Teacher Inc.
AI-powered tutoring for elementary schools at $15/month 
→ CampusAI Polska
AI education platform with virtual metaverse campus for upskilling workers 
→ UNLISTED
Platform for buying homes before they hit the market (98% of inventory)
→ Unthread
AI-powered support platform built into Slack for automated ticket management
→ Elloe AI | Immune System for AI
AI safety platform serving as an "immune system" for bias, hallucinations, and compliance


Which one are you betting on?

20 hours of manual work → 2 seconds.

That's $100K/year in saved labor costs. Here's how:


Every lead from Apollo gets automatically scored and sent to the right place.

No leads falling through the cracks.

How it works:
→ Lead comes in
→ Gets scored (0-35 points)
→ Goes to the right campaign

We track actual behavior, not just titles: 
→ Visited service page 3+ times = +8 points 
→ Opened last 3 emails = +7 points 
→ CEO/Founder title = +15 points 
→ Commented on LinkedIn posts = +5 points 
→ Clicked ad but didn't convert = +6 points 
→ Downloaded resource = +10 points 
→ Insurance industry = +5 points

Real intent signals.

Three types of leads:

🔥 Hot leads (30+ points): 
CEOs who've been on your service page 3 times. 
→ Goes straight to your best LinkedIn campaign 
→ Slack alert hits your phone immediately 
→ You reach out manually within 24 hours

🌡️ Warm leads (20-29 points): 
VPs who opened your emails and visited your site. 
→ Automated follow-up sequence 
→ Gets both LinkedIn + email outreach

❄️ Cool leads (under 20 points): 
Managers who just downloaded one resource. 
→ Slower, educational sequence 
→ Stays in touch over time

Everything syncs to Attio, Expandi, and Instantly.ai automatically.

Time saved: 20 hours per week.

Built with n8n.
Handles 10 leads per week or 1,000 per week.

This system finds the hot leads. 
You just show up and close them.


Comment "SYSTEM" and I'll send you the full breakdown.

Nobody owes you referrals.

But 45% of HubSpot's revenue? Partners.

The difference?
They built a system.

Your customers already know 5-10 companies like yours.
You just haven't made it worth their time to share.

I mapped out the complete framework - psychology, incentives, metrics.

What's your biggest concern about launching a referral program?

Most CEOs ask me the wrong question about marketing.

"Should we hire for demand gen or brand/product?"

Here's what I tell them:

Stop.

Marketing exists for one reason: generate demand.

Everything else is just a different path to the same destination.

Demand gen (outbound, paid, ABM) = measurable results, short timeline.

Brand and product positioning = indirect demand, longer runway.

Both generate revenue. Just on different clocks.

The mistake?

Thinking you need to choose between "creative" and "performance."

That's like choosing between your left leg and your right leg.

You need both to run.

When you hire your next CMO, don't ask "brand or demand?"

Ask: "Can they generate revenue on multiple timelines?"

Time horizon is just a variable.

Revenue is the constant.

ChatGPT never mentioned your company. 

Neither did Perplexity, Gemini, or Claude.


2020: Users scrolled through 10 links to compare answers
2025: AI gives one synthesized response

You don't show up in that response.

You built your website for human eyes. 
Beautiful hero sections. 
Perfect brand colors. 
Clever taglines.

AI reads the words but ignores the packaging.

It cares about: 
→ Structure (headings, schema)
→ Factual descriptions
→ Direct answers to questions
→ Logical site architecture

Your #1 Google ranking? 
Soon worth less if AI can't parse your site.

Most websites are invisible to AI right now. 
Not because they're bad. 
Because they're built for the wrong reader.

We stopped optimizing for attention. 
Started building to be cited.


Soon, being mentioned IN the answer will be worth more than ranking #1.

The B2B enterprise sale is over. 

Your CFO scrolls TikTok. His engineers watch YouTube ⤵

B2B companies stopped acting like enterprises. 
They started acting like consumer brands.

The old game: 9-month sales cycles. 
50-page RFPs. Cold outreach. Gated everything.

The new game: engineers find you online. 
Try your product in 3 minutes. Show their team. 
Team adopts it. Company buys enterprise license.

Bottom-up. Not top-down.

Look at the fastest growing B2B companies. 
Most didn't win through traditional enterprise sales. 

They won through community, content, and word-of-mouth in the right circles.

Your decision-makers are consumers. 
→ They scroll LinkedIn at lunch. 
→ They watch tutorials at 9 PM.
→ They trust peer recommendations over sales pitches.

The purchasing decision already happened before your sales team picks up the phone.

What's working now:

→ Building audiences before products. 
→ Creating communities before customers. 
→ Winning individuals before enterprises.

The companies crushing it don't look like software companies. 
They look like media companies that happen to sell B2B tools.

For marketers, this is the golden age. 
AI democratizes content creation. 
Distribution is cheaper than ever. 
You can build hyper-tailored funnels for each persona.

But.

Everyone has these tools now.

The real differentiator is your unique insights. 
Your point of view. 
Your experimentation.

Generic advice dies in the feed. 
Specific examples from the trenches get saved, shared, and acted on.

B2B isn't becoming B2C. 
It's becoming H2H. Human to Human.


Which B2B brand is crushing this shift in your space?

We're replacing our growth team with AI agents.

Not because the team is bad. Because we just get much more done ⤵


What will change:

→ Speed: 
15-day experiments become hours. 
Agents execute in parallel. Creative, setup, tracking - all at once.

→ Scale: 
From managing campaigns to directing systems. 
Build the system that builds ads, not the ads themselves.

→ Structure: 
From fixed teams to flexible compute. 
Less overhead. More execution capacity.


Where we're experimenting:

→ Acquisition: 
Agents generate creative variants, test messaging, and shift budget across channels based on real-time performance.

→ Activation: 
Agents identify where users drop off in onboarding, test different flows, and deploy the best-performing version automatically.

→ Retention: 
Agents monitor engagement patterns and trigger campaigns when users show disengagement signals.

→ Revenue: 
Agents test pricing and upsell sequences that adapt to how each user actually behaves in your product.


These are the kinds of experiments we are testing.
Then bringing the learnings to clients who want to move faster.

Sequential work → parallel execution. 
Monthly experiments → continuous optimization. 
Data-informed → data-driven systems.


Curious what could work in your setup? Let's explore it.

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