Mike Litman
A Strategist Who Ships
Mike Litman
A TALK BY MIKE LITMAN

What I Learned Building
20+ Products in 3 Months
Without Writing Code

Strategy Director. Non-coder. 15 years in advertising.
3 months shipping products with AI.

Before all this

15 years in advertising.

Strategy Director at MediaMonks, where I led emerging tech and drove $3.2M in Web3 revenue. Head of Digital at Contagious. Founded my own agency. Worked at R/GA, Poke, AnalogFolk. Built campaigns for Nike, Google, Gucci, BMW. Published a book. Named a BIMA 100 Tech Pioneer.

MediaMonks Contagious R/GA Poke AnalogFolk Nike Google Gucci BMW BIMA 100
The pattern

I've always been early.

2002
KingCube
Gaming community and content. Before YouTube, before Twitch.
2008
Social media
Running brand social before "social media manager" was a job title.
2013
Burst Communications
Founded my own agency around video, product, and cultural insights.
2022
Web3
Led MediaMonks' emerging tech practice. $3.2M in revenue from a space most agencies ignored.
2025
AI-native building
20+ products shipped solo. No code written. Same instinct, biggest wave.
Who I've worked with

The brands.

15 years of brand strategy across sport, luxury, tech, and FMCG.

Nike Google Gucci Adidas Meta BMW P&G EA Netflix Sony McLaren Magic Leap
The commercial proof

$3.2M from a space most agencies ignored.

In 2022, MediaMonks didn't have a Web3 practice. I saw the cultural moment, built the business case, and led the team. Within 18 months we'd generated $3.2M in revenue from brand strategy in the NFT and Web3 space. Not because I was a crypto evangelist. Because I recognised a cultural shift and moved before the competition. That instinct, seeing what's next and acting on it, is the same muscle I'm using now.

The credentials

Published. Recognised. Still building.

Named a BIMA 100 Tech Pioneer. Published "Getting Started with Web3 and NFTs" through BCS in 2024. Founded my own agency at 27 and ran it for four years. None of it came from waiting for permission. The pattern is consistent: see the opportunity, do the work, let the recognition follow.

BIMA 100 Published Author BCS 2024 Tech Pioneer Agency Founder
The wiring

The side hustle gene.

I've always been building something on the side. Even with a full-time job, there was always a project at night. A blog. A tool. A community. A business. It's not restlessness. It's a deep focus thing: when something clicks, I can't leave it alone. I'll stay up until midnight and forget to eat. That obsessive wiring is the thing that makes this work.

Every cycle,
the same instinct:

Don't just watch.
Jump in and build.

Sept '25

Company closes. I pick up Claude Code.

No safety net. No engineering team. Just a strategist
with 15 years of opinions about how things should work,
and a tool that could actually build them.

Why now

The cost of building just collapsed.

AI coding tools didn't just get better in 2025. They crossed a line. The cost of building a product went from months and dev teams to days and a subscription fee. For the first time in the history of the internet, the bottleneck isn't engineering. It's ideas. And ideas are what strategy people have in surplus.

Why it matters

Staying still is falling behind.

Advertising skews young. I'm turning 40. The industry rewards novelty and punishes experience unless that experience comes with proof you can still move. This isn't curiosity for curiosity's sake. It's a professional imperative. The people who don't build fluency with AI tools now will spend the next decade explaining why they didn't. The ones who do will have something that no amount of strategy decks can replicate: proof they can adapt.

The new baseline

Building is the new literacy.

Five years from now, the ability to prototype and ship ideas with AI tools won't be a differentiator. It'll be table stakes. Like knowing PowerPoint in 2005 or being "good at social" in 2012. The window to get ahead of this is right now. Not next quarter, not when things settle down. Now. Every week I don't build something is a week someone else is. That urgency is the engine underneath all of this.

Why this

Because the gap finally closed.

For 15 years, I had ideas faster than I could get them built. Every good insight needed a budget, a dev team, a roadmap, stakeholder buy-in. Most died in the gap between "this should exist" and "someone should build this." When you've spent your entire career thinking about what should exist in the world, and suddenly you can make it exist before lunch, you don't stop.

What if a strategist
could build as fast
as they can think?

20+

live products. 3 months. No engineering background.

Data pipelines. Content engines. Scoring systems.
Directory sites. Web apps. A transit tool with 95 features.
All built solo with Claude Code.

The proof
Act II

What I built.

Category 01

Content engines

Automated pipelines that wake up every morning, scan hundreds of sources, score and rank what matters, and publish fresh content. No human in the loop.

The Pattern
Daily culture briefing from 150+ RSS sources. Scores relevance, publishes at 6am.
CultureTerminal
Real-time cultural signal tracker. Surfaces what's moving across media, brands, tech.
EVERYWEAR
Wearable tech news aggregator. Auto-curates the latest in smart devices daily.
150+

RSS sources feeding The Pattern every morning at 6am.

Category 02

Directory sites

Curated local guides that feel hand-picked, not algorithmic. Built because I wanted better recommendations than Google Maps could give me.

Pub Guide London
Neighbourhood pub directory. Curated by postcode, updated weekly.
Little London
Weekend activities for London parents. What to do with young kids.
Oishii London
Japanese food guide to London. Ramen, izakaya, sushi, sorted by area.
Category 03

Scoring systems

Frameworks for measuring things that seem unmeasurable. Cultural relevance. Brand taste. Retro authenticity. Every score is opinionated by design.

The Relevance Index
1,200+ brands scored weekly on cultural relevance. Five-factor methodology.
Modern Retro
70s retail aesthetic generator with a 5-factor authenticity score.
Taste OS
Framework for understanding and scoring taste as a strategic variable.
Category 04

Web apps and tools

Full-stack products with databases, user accounts, and real complexity. Not demos or prototypes. Things people actually use.

Curio
What the internet is reading right now. Social link aggregation, live.
Trove
Personal taste engine. Save anything, understand your own patterns.
First Out
Tube exit finder. 95+ features. PWA. iOS build. Built for parents.
95

features in First Out. A transit app.
Built by a strategist.

The work, not the words

This is what they actually look like.

The Pattern
The Pattern Content Engine
First Out
First Out Web App
Modern Retro
Modern Retro Generator
The Relevance Index
Relevance Index Scoring
Curio
Curio Web App
Pub Guide London
Pub Guide Directory
Case study

Modern Retro

What if today's brands had existed in the 1970s? Modern Retro reimagines them through the lens of 70s retail: hand-drawn logos, kraft paper bags, vintage signage. It started as a creative experiment and became the most popular thing I've made. Real print-on-demand orders. Real audience. Real revenue. The concept works because it sits at the intersection of design nostalgia and brand culture: a combination people share, discuss, and buy.

modernretro.art Real Orders Print on Demand 70s Aesthetic
Case study

The Pattern

A daily culture briefing I wanted to read every morning. The Pattern scans 150+ RSS sources, scores articles for cultural relevance, generates editorial summaries, and publishes a fresh briefing at 6am. Zero manual intervention. It's the project that best represents what I do: curation, editorial judgement, and systems thinking, automated into something genuinely useful.

thepattern.media 150+ Sources Daily Automation GitHub Actions
Case study

Curio

Curio surfaces what the internet is reading right now. It tracks what's being shared across social platforms and aggregates the most-discussed links into a real-time reading list. A cultural signal detector: not what's trending algorithmically, but what real people are passing around. Built on Next.js and Supabase, it's the most technically ambitious thing I've shipped.

Curio Next.js 15 Supabase Real-time Vercel
Case study

Trove

A taste engine disguised as a bookmarking tool. Save anything and it starts to understand what you care about. Not what you click, but what you choose to keep. The thesis: your saves are the most honest signal of who you are. Every feature passes one test: does this help the user understand their taste better? If not, it doesn't ship.

Trove Taste Engine Next.js 15 Supabase
The process

How I actually build.

1
Notice
Something bugs me. A product that should exist. A tool I wish I had. A gap nobody's filling.
2
Describe
I tell Claude Code what I want. Not pseudocode. Plain English. "Build me a pub guide sorted by neighbourhood."
3
Shape
I direct the design. Choose fonts, colours, layout. Kill features that don't belong. Add the details that make it feel right.
4
Ship
Deploy it. See what breaks. Fix it. Deploy again. Most things are live within a day or two.
A real example

How First Out went from one question to 95 features.

Pushing a buggy through the tube. Every time, the same question: which exit gets me closest to the lift? I built a basic exit finder in a weekend. Then I kept going. Step-free routing. Nearby toilets. Real-time train arrivals. Buggy-friendly exits. A separate parent mode called Buggy Smart. It started as one frustration and became the most complex thing I've built: a PWA with an iOS build, 95+ features, and the kind of obsessive detail that only comes from using the thing yourself every day.

firstout.app buggysmart.app PWA iOS Build 95+ Features
The honest bit

What I can't do.

I can't debug a memory leak. I can't optimise a database query from scratch. I can't read a stack trace and immediately know what's wrong. I'm not an engineer and I'm not pretending to be one. But I can ship products that work, look intentional, and solve real problems. The gap between "professional developer" and "can't build anything" just disappeared.

The misconception

AI doesn't build it for you.

"You just type a prompt and it makes a website" is what people think. It's wrong. You need taste to know what good looks like. Scope to know when to stop. Editorial judgement to decide what belongs. Design sense to make it feel intentional. Strategy to understand who it's for. AI is the hands. You're the brain. Without the brain, you get generic slop.

By the numbers

It adds up.

24
live Netlify sites
6
automated daily pipelines
150+
RSS sources scanned every morning
1,200+
brands scored on cultural relevance
95
features in a single transit app
0
lines of code I wrote myself
Proof of life

These aren't demos. They're alive.

Every morning at 6am, before I wake up: The Pattern publishes a fresh culture briefing. CultureTerminal updates its signal feed. EVERYWEAR surfaces new wearable tech news. Little London refreshes its activity listings. Pub Guide checks for new reviews. The Relevance Index rescores 1,200+ brands on cultural relevance. Six automated pipelines running on cron jobs. No intervention. No babysitting. Just working infrastructure that didn't exist three months ago.

The failures

Not everything shipped.

A coffee table book directory went nowhere. A personal finance dashboard turned out to be depressing, not useful. Three concept sites that sounded clever but had no real audience. A health data dashboard that was technically interesting but solved nothing. The ratio matters: 20+ shipped, maybe 8 abandoned. When building is cheap, failure is cheap too. And every abandoned project taught me something that made the next one better. That's not waste. That's research.

Act III

How I work.

The process

Frustration. Idea. Weekend. Live.

Every project follows the same arc. A personal frustration becomes an idea. The idea becomes a prompt. The prompt becomes a working prototype by Sunday evening. If it sticks, I iterate. If it doesn't, I move on. The loop is fast because the cost of trying is near zero. Most projects go from frustration to live URL in under 48 hours.

1
Frustration
A real problem I face. Not theoretical.
2
Direction
Name it. Scope it. Know what done looks like.
3
Build
Claude Code. One sitting. Ship ugly.
4
Iterate
Use it. Fix it. Evolve or abandon.
The tools

One tool. One person. Real products.

Claude Code for building. Netlify for hosting. GitHub Actions for automation. Supabase for databases. No Figma. No Jira. No sprint planning. The stack is deliberately simple because complexity kills shipping. Every tool earns its place by making me faster, not by adding process.

Claude Code Netlify GitHub Actions Supabase Alpine.js Python
The counterintuitive bit

Not knowing code is the advantage.

Engineers think in systems. I think in audiences. When I build something, the first question isn't "how does this work?" It's "who is this for and what do they need?" Every decision filters through 15 years of audience instinct, brand thinking, and editorial judgement. The AI handles the engineering. I handle the why. That's not a limitation. It's a new category of maker.

The shift

One person. One weekend. Zero budget.

24
live sites shipped in 3 months
£20
monthly subscription cost
48h
average time from idea to live
1
person doing all of it

The people with the ideas no longer need permission to ship them.

Act IV

What I learned.

Lesson 01
01

Build for yourself first

Every good project started as something I actually needed. A pub guide for my neighbourhood. A tube exit finder for the buggy. A culture briefing I wanted to read every morning. When you're the user, you know exactly what "done" looks like.

First Out Pub Guide London The Pattern Little London Oishii London
Lesson 02
02

Taste is the real input

AI amplifies what you bring. If you bring nothing, you get nothing. Every decision about what to include, what to cut, how it should feel: that's you. The tool doesn't have opinions. You do. That's the whole point.

The Relevance Index Modern Retro Taste OS CultureTerminal
Lesson 03
03

Scope is a skill

The AI will try to build Facebook. Your job is to stop it. The hardest part isn't getting things built. It's knowing what not to build. Strategy people are actually good at this. We've spent careers killing darlings.

Curio Trove Buggy Smart
Lesson 04
04

Ship ugly, ship often

Iteration beats perfection every single time. If it's just for you, working beats polished. Half of these projects launched looking rough. The ones that stuck got better. The ones that didn't were cheap to abandon. You can't iterate on something that doesn't exist.

Lesson 05
05

Context is everything

A beginner and an expert can type the same prompt. The difference is invisible: it's the setup, the memory, the accumulated decisions that shape every output. Knowing the tool is less important than knowing what you want. And knowing what you want is a strategy skill.

Lesson 06
06

Quantity reveals quality

You don't know which idea matters until you've built twenty of them. The projects I'm proudest of aren't the ones I planned most carefully. They're the ones that surprised me by working. Volume is the strategy. Curiosity compounds.

Lesson 07
07

Design is a decision

Every product I build looks intentional because it is. I chose the fonts. I chose the colours. I chose the spacing. AI can generate code, but it can't tell you what good looks like. If you've spent your career thinking about how things should feel, you already have this skill.

Portfolio Modern Retro This Deck
Lesson 08
08

Automate the boring parts

Six of my sites update themselves every morning before I wake up. Pipelines scan RSS feeds, score relevance, generate summaries, deploy fresh content, and send me a notification. The first build is exciting. The tenth deploy is tedious. Automate the tedium and keep the taste.

The Pattern CultureTerminal EVERYWEAR GitHub Actions
Lesson 09
09

The portfolio is the proof

Nobody cares about your process. They care about what you shipped. Every project is a proof point. Every live URL is a case study. Strategy decks gather dust. Products gather users. If you want to prove you can do something, do it.

mikelitman.me 24 Netlify Sites
Lesson 10
10

Curiosity is the strategy

Building across categories isn't unfocused. It's research. A pub guide teaches you about curation. A scoring system teaches you about methodology. A transit app teaches you about user obsession. Each project teaches you something that makes the next one better. The through-line reveals itself after the fact, never before.

Act V

What I believe.

01
Belief 01

Taste is the last unfair advantage

When everyone can build, what you choose to build becomes the differentiator.

02
Belief 02

Build for yourself first

If you are not the user, you are guessing.

03
Belief 03

Curiosity compounds

The more you notice, the more you see. Go deep on the edges and the centre makes more sense.

04
Belief 04

Connect the dots others miss

Insight is pattern recognition across worlds.

05
Belief 05

Curation is a creative act

Choosing what to include and what to leave out defines the work.

06
Belief 06

Show it early

A working anything beats explanation.

07
Belief 07

Iteration beats perfection

Reality is a better teacher than theory.

08
Belief 08

Status is a signal system

Objects, brands, and interfaces are coded language. Learn the grammar.

09
Belief 09

All brands compete for cultural capital

Power comes from being culturally fluent, not just commercially present.

10
Belief 10

Always archive the signal

What you collect, track, and document becomes future capital.

T
The thesis

When everyone can make, taste is all that's left.

AI democratised building. It didn't democratise judgement. The flood of AI-generated content makes taste more valuable, not less. Knowing what to build, what to cut, how it should feel: that's the human layer that can't be automated. The era of taste as a professional skill has arrived.

C
The framework

Brands compete for cultural capital.

Every brand exists on a spectrum from commercially present to culturally fluent. The ones that win aren't the loudest. They're the ones with editorial instinct, with the ability to read the room. Stripe runs a publishing house. Nike curates culture. The best brands don't just sell. They earn cultural capital.

Q
The opportunity

Curation is the new creation.

In a world of infinite content, the person who selects, sequences, and presents is more valuable than the person who produces. Curation is a creative act. It requires taste, editorial judgement, and the confidence to leave things out. The best brands will become curators, not just creators.

Act VI

So what.

The argument

Strategists should build things.

Strategy decks are hypotheses. Products are proof. When a strategist can build, they stop guessing what works and start knowing. The gap between insight and execution is where most ideas die. Building closes that gap.

The question

What would you build
if building was free?

That's the question AI answers. Not "can we?" but "should we?" The constraint isn't engineering any more. It's imagination, taste, and the willingness to ship.

Looking ahead

What I'd build next.

01
Brand intelligence dashboards

Real-time cultural positioning. Competitor tracking. Signal detection at scale.

02
Taste-driven recommendation engines

Systems that understand why you like things, not just what you liked before.

03
AI-native editorial products

Publications that combine human curation with automated intelligence gathering.

The shift

The industry is splitting in two.

Before
  • Strategy decks as deliverables
  • Months-long research phases
  • Specialists in silos
  • Ideas without evidence
Now
  • Working prototypes as strategy
  • Build-measure-learn in days
  • Full-stack thinkers
  • Proof through product
The fit

Where I fit.

I sit at the intersection of brand strategy, cultural intelligence, and product building. I can write the brief, build the prototype, and ship it live. That combination is rare because most strategists don't build and most builders don't do strategy. I do both.

Brand Strategy Cultural Intelligence Product Building
2026 goal

52

new things in 2026

One new thing every week. Products, experiments, tools, content. The only way to learn what works is to keep shipping.

The ask

I'm looking for the right next thing.

A role where strategy meets product. Where culture matters. Where building is valued as much as thinking. If that sounds like your team, let's talk.

Mike Litman

Mike Litman

Strategy Director turned Builder

Products
20+
Months
6
Code written
0 lines
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