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Hubtree Ventures
Library

Built for founders and investors.

Practical guidance on building and backing companies in the AI economy. Written from the firm's own experience, for the people doing the work.

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Topic
9 articles
InvestingInvestors

A practical primer on syndicates and SPVs

How co-investing actually works, what to check before you commit, and why a syndicate-to-fund path compounds.

8 minRead
InvestingInvestors

Reading a seed-stage team

At the seed stage you are underwriting people, not numbers. Here is what to actually read for.

7 minRead
InvestingInvestors

Diligencing an AI company from first principles

How to separate a real capability shift from a wrapper, and the one test that sorts durable companies from features.

8 minRead
OperatingFounders

Building borderless from day one

How to assemble teams, customers, and capital across markets, and the practical pitfalls that catch first-timers.

8 minRead
OperatingFounders

Default alive: capital efficiency in 2026

Runway discipline when intelligence is cheap, pricing into the labour budget, and how to know when to raise.

7 minRead
GrowthFounders

Distribution is the moat now

When capability is cheap and copyable, the scarce things are distribution and trust. Build for those.

7 minRead
Hiring & TeamFounders

Hiring the first ten in an AI-native company

Why leverage beats headcount, which roles matter first, and how to hire across borders without breaking the team.

7 minRead
ProductFounders

Finding product-market fit when the models keep moving

How to build durable value above a model layer that gets better, and cheaper, every few months.

8 minRead
FundraisingFounders

Raising your first round in 2026

What has actually changed about seed fundraising, and how to run a process tight enough to win on your own terms.

8 minRead
For investors & LPs

Compound alongside us.

Co-invest in select opportunities today; grow into the fund as conviction and track record compound.

For founders

Capital at the speed of building.

We back software, fintech, and AI-native companies anywhere in the world - and work like a co-founder, not a board observer.