1. Philosophy

(Why we exist, and how we think)

1.1 Independence over growth

We optimize for freedom, sustainability, and optionality, not headcount, valuation, or external impact.

Growth is a tool. Independence is the goal.

Not every company needs to become a hypergrowth startup.

1.2 Enough is a strategy

We define "enough" early, whether it's revenue, pace, or lifestyle, and build toward it intentionally.

We pursue sufficiency and compounding, not endless expansion.

We have patience and compete on durability, instead of chasing more.

1.3 Life integration by default

We design the company around the life we want, not the other way around.

Work should nourish life, not consume it. We structure the business around our ideal lifestyle.

We prefer steady iteration, good sleep, and high-quality decisions over frantic motion.

Life is not postponed: health, relationships, and curiosity are protected.

2. Product Principles

(What we build, and how it should feel)

2.1 Niche focus, deep value

We focus on narrow use cases and go deep until the product feels irreplaceable.

Breadth is earned, not assumed.

A small group deeply served is more valuable than a large group loosely helped.

2.2 Low-maintenance by design

Products should require minimal ongoing human intervention to function well.

Every feature must justify its long-term support cost.

We avoid maintenance traps, brittle complexity, and perpetual babysitting.

2.3 Consumer-first by default

B2C over B2B.

We prefer markets with short decision loops, fast feedback, and experience-driven differentiation.

We avoid deals and commitments that lock us into long-term enterprise-like obligations or long sales cycles.

2.4 AI-empowered, not AI-everything

Our products should naturally be built with AI at its core, but with taste.

We keep data portable and interfaces open so users can bring their own AI tools.

AI earns its place through user value, not novelty or FOMO.

AI proposes. Users steer. Control remains lightweight and human.

3. Operational Principles

(How we work in the AI era)

3.1 AI-first for internal operations

AI is not a feature or tool; it is part of how we run the company.

We use AI tools, integrate AI in daily operations across tool stacks, and elevate our decision-making with the help of AI.

Humans own: vision, harness, taste, final decisions. AI owns: drafting, repetition, exploration, scaling effort.

Every job to be done starts with the question: "Can we let AI do it by default?"

But don't delegate your own thinking and understanding to AI.

3.2 Context is king

Decisions, learnings, processes, discussions, and standards are written down and kept current.

Our documentation and data are not just structured for humans, but more importantly, for AI.

Context is the operating layer. Without it, AI cannot understand our business, make correct tradeoffs, or act reliably.

Provide more context for AI, and let it cook.

3.3 Building agents before hiring

Before adding headcount, we first ask: can an AI agent handle this?

We treat AI agents as first-class citizens.

We should scale intelligence through compute, rather than headcount.

3.4 Stay on the frontier

The AI landscape shifts fast. We actively experiment with new models, tools, and workflows, and upgrade our stack before it becomes a bottleneck.

We invest time in learning and tinkering, not just shipping.

Staying current is not a side quest, but an operational advantage.

No loyalty to tools. Loyalty to outcomes.

4. Building Principles

(How we ship and learn)

4.1 Default to shipping, not planning

We learn through release, not speculation.

We use prototypes to communicate, not abstract concepts and tedious handoffs.

We plan for the next two weeks, not the next two quarters.

Planning exists to accelerate shipping, never to delay it.

4.2 Validate with the market, not with opinions

We put our prototypes out there before investing in polish, and let the market decide what gets built next, not internal debates.

We optimize iteration speed and learning loops.

Deep customer knowledge helps build the moat.

4.3 Build with direct user contact

We stay close to users and observe real behavior.

We build what we can validate with real users, not what sounds right in theory

No layers that dilute feedback. No guessing from dashboards alone.

Talk to customers, ship, repeat.

4.4 Build for leverage

Prefer reusable components, templates, and scalable automation over bespoke manual work.

We avoid growth that scales linearly with effort.

5. Commercial Principles

(How the business sustains itself)

5.1 Day one profitability as a north star

We validate willingness-to-pay early; revenue is the truth.

Do not burn cash to grow.

The business must validate itself immediately with positive cash flow.

5.2 Sustainable margins over top-line growth

We optimize for margin and sustainable cash flow, not GMV or revenue growth rate.

We do not trade margin for market share, and refuse growth at all cost mentality.

If a product cannot sustain healthy margins, we fix the model or sunset it.

5.3 Compounding distribution, not paid dependency

We prioritize distribution channels and business models that compound: SEO, word-of-mouth, referral, content, community, UGC, subscriptions, low marginal cost, etc.

Paid growth is optional, controlled, and never existential.

5.4 Scaled revenue without scaling people

Revenue should not require headcount growth.

We reject business models where scale implies proportional people and coordination.

6. Cultural Principles

(How we stay small and effective)

6.1 Protect attention and maker time

Default async, fewer meetings, clear ownership.

We defend deep work and attention as core assets.

Thoughtful async communication over real-time meetings.

Small teams run on explicit decisions, clear ownership, and direct communication.

6.2 Taste is a responsibility

Quality is not accidental. Have your own opinions.

Everyone is accountable for craft, coherence, and user experience.

Clarity and simplicity are standards, not preferences.

Ambiguity is more expensive than mistakes.

6.3 High agency, deep curiosity

Everyone should be hands-on makers with high agency to see it from start to finish, and have multidisciplinary knowledge tackling real world problems.

We explore new things with curiosity.

We do what we choose. Not only because it's needed, but also because we feel like it and it's interesting.

6.4 Small team, high trust

We stay small deliberately, and only hire people we trust to operate independently with good judgment, and of course, they need to be people who we like to work with.

We default to extreme internal transparency and assume good intent.

Trust is protected by honesty, not politics.