Aviad Harel | Team8 | How to Build a Thesis About the Future Worth Millions - Product Builder Podcast episode with Eyal David
00:54:32

Aviad Harel | Team8 | How to Build a Thesis About the Future Worth Millions

Host: · Guest: Aviad Harel

In this episode

  • Building a product has become cheap and easy — so the real challenge has shifted to knowing what is right to build, for whom, and why now.
  • A good thesis must pass through three worlds: the problem space, the solution space, and go-to-market — none of them optional.
  • There are two kinds of theses: solving an identified problem (systematic work) versus predicting a new future (a longer play with enormous upside).
  • A founding team needs to wear three hats — technology, product and go-to-market — alongside genuine founder-market fit.
  • A big vision has to be tied to clear first wins; the market — not the founder — knows best, so real friction with customers as early as possible is critical.

Episode Description

Aviad Harel, Managing Partner at Team8 and previously a co-founder of Sisense, on how to build startup theses at the earliest stages — before product, traction or revenue. The conversation moves from resilience lessons at Sisense, through Team8's foundry process, to how founders should think about AI, agents, go-to-market, validation and founder-market fit in a world where you can build faster — but where results are expected faster too.

Chapters

  1. 00:00 · Intro
  2. 00:29 · Who is Aviad Harel: Sisense, Team8 and going from founder to investor
  3. 01:51 · The big lesson from Sisense: "not dying long enough"
  4. 03:48 · What Team8 does and why it defines itself as a builder
  5. 05:34 · Maintaining 4–5 theses in parallel
  6. 08:10 · Why product marketing and biz dev join at the thesis stage
  7. 10:03 · The structure of a thesis: problem, solution and go-to-market
  8. 11:26 · What has changed since founding Sisense
  9. 15:05 · How AI changes expectations from founders
  10. 18:04 · What Team8 looks for in a founding team
  11. 21:24 · Two kinds of theses: solving a problem vs. a vision of the future
  12. 25:10 · Agentic AI, trust, security and the new organizational knowledge
  13. 31:39 · Where the money is going in the VC world
  14. 34:01 · How to build a thesis without Team8's machine
  15. 37:47 · How many customers you need to talk to for confidence
  16. 40:28 · A big vision vs. first wins
  17. 42:35 · Roadmap, planning and pace in a fast-changing world
  18. 44:35 · Who should be in the room during ideation
  19. 49:11 · How to sell to traditional organizations
  20. 53:18 · How to get in touch with Aviad
Read the full transcript
Full transcript with speakers and timestamps

Selected quotes

“Look, Aviad, the only thing you did well was not die long enough.”
— Aviad Harel
“In the AI era you see founders showing up with products — at minimum with working prototypes. That's a paradigm shift.”
— Aviad Harel
“Nobody wants to end up with a product looking for a market.”
— Aviad Harel

Questions & answers

How does Team8 build and maintain investment theses?

The Enterprise group keeps 4–5 open theses each year and invests millions of dollars in building and validating them. Every thesis moves through three stages — the problem space, the solution space, and go-to-market — with product, strategy, biz dev and product marketing people helping to get real friction with the market. Theses are swapped when needed, and a significant share of companies actually come from founders bringing their own thesis.

What has changed in expectations from founders in the AI era?

According to Aviad, founders today show up far more professionally — usually with a working prototype already in the first conversation, not just slides. AI dramatically shortens build time and build-test cycles, but at the same time raises the bar: traction and revenue are expected earlier, because if you can build fast, results are expected fast too.

What is the difference between a problem-solving thesis and a future-predicting one?

A problem-solution thesis identifies an existing problem, validates it (a demand test) and builds a solution for it — relatively systematic work. A future-prediction thesis (like Uber, Tesla, SpaceX) imagines a new world and derives which elements need to be built; it's a longer, more complex play, but when it succeeds the upside is enormous.

What does Team8 look for in a founding team before investing?

Completeness across three necessary hats — technology, product and go-to-market (in one person or three); working in areas the fund knows; DNA fit and a sense of partnership; and above all founder-market fit — deep, non-linear familiarity with the domain that yields real intuition.

How many customers do you need to talk to for validation?

There's no magic number. You need enough to get insight about the market and not just a single customer, covering different types of organizations and roles — Israeli and non-Israeli, enterprise and Fortune 500 and sometimes small companies too — talking to the CEO, CTO, VP R&D and developers as needed.

People & resources mentioned

People

Companies & orgs

  • Team8
  • Team8 Capital
  • Sisense
  • Uber
  • SpaceX
  • Tesla
  • The Boring Company
  • Royal Caribbean
  • FedEx
Entrepreneurship Thesis building Validation Founder-market fit Go-to-market AI Agents Venture Capital Team8