Interactive Internet TV Before it was Mainstream
I co-founded ZEVO in 2010 on a bet that internet-native TV would combine live programming, on-demand viewing, and commerce. I led product vision, roadmap, and fundraising through meetings with Oak, Norwest, TCV, and Ashton Kutcher’s team.

Founder-Led Product Bet in an Immature Market
ZEVO was my attempt to build an internet-native TV model before streaming patterns were mature. The concept combined live channels, on-demand content, and in-content commerce with synchronized multi-device interaction. We built a compelling narrative and early traction signals, but timing and capital risk made fundraising conversion hard.
- Role
- Co-Founder, Product Lead
- Client
- Industry
- Media • Streaming • Interactive Commerce
- Timeline
- 2010
- Team / Stakeholders
- 10
- Budget / Scale
- Systems / Technology
- Web PlatformAPI ServicesMobile SyncCommerce Layer
The challenge was not imagination, it was de-risking. ZEVO asked investors to underwrite both platform and content complexity before there was mainstream proof that the market would adopt this model at scale. We had a coherent vision and early engagement, but no simple traction shortcut to close institutional capital.
I owned end-to-end product strategy, concept validation, roadmap sequencing, investor communication, and cross-functional coordination across the startup build effort.
ZEVO only worked if the product, technology, and business model all held together. I defined the core experience and turned it into a roadmap builders and investors could follow without losing the plot.
ZEVO didn't produce a liquidity event, but it produced durable leadership and product judgment that I still use in enterprise delivery work.
Big Product Thesis, Too Early for Capital
The challenge was not imagination, it was de-risking. ZEVO asked investors to underwrite both platform and content complexity before there was mainstream proof that the market would adopt this model at scale. We had a coherent vision and early engagement, but no simple traction shortcut to close institutional capital.
The raise didn't close. While we were in market, Netflix, Hulu, and the major networks moved aggressively into streaming and eliminated the white space we were pitching into. Then Ashton Kutcher pulled out, and the institutional case collapsed with it. ZEVO didn't fail because the thesis was wrong. It failed because the market caught up before the capital did. That experience is what led directly to HBO and DIRECTV, where I got to work on the streaming infrastructure from the inside.
ZEVO Product video

I Treated the Vision, Delivery, and Capital Story as One
I owned end-to-end product strategy, concept validation, roadmap sequencing, investor communication, and cross-functional coordination across the startup build effort.
- 1
Thesis
Defined one coherent product story across TV, web, and mobile.
- 2
Roadmap
Sequenced roadmap milestones from concept demo to planned launch.
- 3
Validation
Build demo narrative and stress-test strategic assumptions with advisors.
- 4
Fundraising
Run tier-1 investor conversations and iterate story against objection patterns.
- 5
Go/no-go leadership
Evaluate capital reality vs. risk and execute disciplined shutdown decision.
What We Built to Validate the Thesis
The immediate goal was not feature sprawl. It was proving a coherent internet TV model: shared identity, synchronized multi-device behavior, and commerce-ready interaction primitives.
Strategic Lessons + Long-Term Career ROI
ZEVO didn't produce a liquidity event, but it produced durable leadership and product judgment that I still use in enterprise delivery work.
Vision-heavy strategy with limited external proof.
I built a clear model for internet-native TV across live, on-demand, and interactive commerce, then translated that model into product requirements and roadmap decisions.
Stage-gated strategy with explicit proof checkpoints.
Large integrated bet across product, platform, and content.
I pressure-tested the strategy in investor and advisor rooms, using product narrative and demo artifacts to surface objections, risk perceptions, and viability gaps.
Sequenced risk reduction before scaling ambition.
Higher dependency on narrative persuasion for capital conversion.
When capital conversion remained uncertain against risk profile and timing, I chose to shut the company down and carry forward the lessons instead of extending runway without a credible path.
Faster, clearer go/no-go calls grounded in evidence.

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