I've built things, helped founders build theirs, and follow ideas wherever they lead.

Lumos Labs

How do you get developers to care about an ecosystem before it is obvious?

What I built

I co-founded Lumos and built the marketing, ecosystem and distribution engine from the ground up, positioning, website, SEO, content, PR, campaigns, community, partnerships, events and product strategy.

The centre of gravity was the developer ecosystem. We ran 40+ hackathons and 10+ accelerators with ecosystems and partners including Polygon, NEAR, Hedera / HBAR Foundation, Binance, CoinSwitch, Unstoppable Domains and IoTeX. Through PolygonLEAP, the wider programme ecosystem also included investment partners CoinDCX, Digital Finance Group, Elevation Capital, Hashed, Jsquare, Jump Capital, Lightspeed, Picus Capital, Sino Global Capital and Woodstock Fund.

What that looked like

• Built a 100K+ developer ecosystem around emerging Web3 infrastructure.
• Grew the company from 4 to 26 people at peak and reached $1M ARR.
• Raised $1.1M and helped put more than $3M into the hands of developers and builders.
• Designed programmes that took people from discovery → building → demo day → funding.
• Led a 26-person cross-functional team across growth, design, sales, tech and product.
• Owned company-level budgets above $100K within roughly $40K/month burn.

The programmes

PolygonLEAP, Hatch Web3 Accelerator for Hedera, India Blockchain Accelerator and BUIDL for Web3 were different expressions of the same idea: make an emerging technology tangible by creating reasons for builders to show up, build and keep going.

What I learned

Community isn't a Discord server. It's a distribution system you have to deliberately build.

BuidlersTribe

Founder conversations kept exposing the same four problems: capital, talent, partnerships, distribution.

What I did

I helped bring the builder network and relationships I had built through Lumos into founder programmes and the wider BuidlersTribe ecosystem.

• Built cross-company growth loops by introducing existing Lumos programme sponsors to founder programmes.
• Worked on strategic partnerships and co-hosted programmes ing founders, investors, ecosystem partners and sponsors.
• Supported startups with PR, visibility and distribution.
• Worked closely with founders around capital, talent, partnerships and distribution.

The programmes

We organised 40+ events, including Tech Forward Talks, Founders Roundtables and Tribe TechFest, alongside mentor sessions, founder talks, speed-dating events and pitch sessions. We supported startup funding of $5K to $25K, including through partnerships with Coinbase Ventures and Belief DAO, alongside grant pools of up to $50K for selected initiatives and demo days.

What it showed me

It gave me a closer view of what happens after people become companies, and where they get stuck. One of those recurring problems became the starting point for Rabble.

Rabble

What if Telegram actually understood crypto? Event-led business development was a key early GTM loop, helping us onboard our first 1,000 users.

What it was

A crypto-native Telegram client with multichain support, social feeds, discovery and simplified on-chain transactions through Rabots.

What I did

I worked across customer discovery, positioning, product, website, launch, growth and acquisition, taking it from concept → product → 20K users.

The GTM

Our early growth was hands-on and community-led. Event-based GTM helped bring in our first 1,000 users. We leaned into Telegram-native culture and social campaigns. One such campaign was a playful tool that analysed users’ Telegram social graphs and scored their business development prowess, giving each person a BD personality. Distribution worked best when it felt native to the community, not like a campaign dropped in from outside.

Partnerships

We partnered with Monad to support its ecosystem and expand opportunities for discovery and distribution.

Where it came from

The distribution problem founders kept raising at BuidlersTribe turned into a product question, and Rabble was the attempt to answer it.

Scribble

What happens when people stop searching and start asking?

The evolution: creator economy to AI discovery

Scribble began as a creator economy. We built a community of writers and researchers who tried Web3 products and created content about them, first to help Rabble acquire users and then to help other brands earn attention. We grew that into a creator-led distribution engine, running campaigns and rewarding useful content at scale.

Then discovery started changing. Search was no longer just a list of links: people were asking ChatGPT, Perplexity, Gemini and other AI assistants for direct answers. That created a new visibility problem for brands. Traditional SEO was about ranking in search results; AEO is about being selected as the answer; and GEO is about helping generative AI systems understand, mention and cite a brand. Scribble Network is the evolution of that original creator engine into AI discoverability: helping brands measure how they appear in AI answers and build the content footprint that makes them easier to find, understand and recommend.

What I built

Scribble began as a creator economy: a community of writers and researchers creating content about Web3 products, first to help Rabble grow and then to help other brands earn attention. As AI search changed discovery, that creator-led content engine evolved into Scribble Network for AI discoverability. I co-founded Scribble and built the brand, positioning and GTM from the ground up: content, SEO/GEO, creator campaigns, partnerships, outbound, paid experiments, webinars and product launches. I also worked across websites, landing pages, content, video, scripts, demos and launch assets.

Products

That thinking became products including GEO Checker and Scribe, tools built around AEO and GEO: measuring AI visibility and identifying the content missing from AI answers. Scribble Network evolved the original creator-led distribution model into AI discoverability, helping brands understand and improve how they appear in AI-generated answers.

A few receipts

• 50K+ creators and 100+ campaigns.
• #3 Product of the Day on Product Hunt after roughly two weeks of preparation.
• 9% AI Share of Voice in 15 days for RocketX.

What I learned

Technology changes the distribution surface. Someone still has to figure out the story, the product and the reason people care.