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Actionable
Takeaways

The one-way door framework is a forcing function for resource discipline.

Susan described using Amazon's one-way door / two-way door mental model as a core decision-making tool at Blue Current. The most consequential example: exiting a co-development agreement with an automotive OEM. The partnership had been a research collaboration where both sides contributed IP — but as the OEM's strategy shifted, the resource allocation kept growing while the long-term upside shrank. Calling that exit a one-way door forced clarity on whether the risk of staying was actually worth it. For founders: codify this framework explicitly. Not every hard decision is irreversible, and conflating the two leads to either reckless pivots or paralysis.

When your primary market slows, the adoption velocity impact compounds the demand impact.

The EV cooldown wasn't just a market size problem — it slowed how fast automotive OEMs were willing to adopt new battery technologies at all. Susan identified this cascading effect early: a contracting market that also lengthens its decision cycles is a compounding headwind. Founders in markets experiencing demand softness should model not just the revenue impact but the elongation of sales cycles and technology adoption timelines. They are usually worse than the top-line numbers suggest.

Pivoting markets requires a go-to-market rebuild from capabilities, not from opportunity.

Blue Current didn't chase stationary storage because it was hot. They went back to first principles: what does our battery actually do, what performance metrics matter in each application, and where can we be compelling — not just adequate — against the incumbent? In stationary storage, the incumbent is LFP, largely Chinese-manufactured, strong on cycle life and cost. Blue Current had to model their cells packaged into full systems and evaluate the head-to-head honestly before committing. The bar they set for themselves was not "can we compete" but "do we have a compelling product." Founders pivoting markets should do the same — resist the temptation to retrofit the existing pitch and instead stress-test from the product's actual performance profile outward.

Strategic relationships can compress ICP discovery dramatically — if you use them correctly.

When the EV pivot happened, Blue Current was already deep in conversations with Amazon. That relationship gave them direct access to people inside Amazon responsible for specific applications — robotics, stationary storage, others — and those individuals were generous with their time in explaining requirements, fit, and ecosystem dynamics. This effectively substituted months of market research with direct signal from a sophisticated, high-stakes buyer. Founders should ask which strategic relationships — not just sales targets — can serve as a window into real market requirements, and invest in those relationships even before there's a clear revenue path.

Customers won't budget for safety — but safety compounds into margin-level competitive advantage.

Susan articulated something counterintuitive: Blue Current doesn't expect customers to pay a premium line-item for safety. But the downstream benefits of inherent safety — fewer thermal events, simpler system design, reduced liability surface, operational reliability — accrue to the customer and show up as a competitive edge on the margin. The implication for founders with a genuinely differentiated "safer" or "more reliable" product: don't lead with the feature, lead with the downstream outcome. Safety doesn't close deals. What safety enables does.

Constrain your form factor deliberately to preserve manufacturing leverage.

Rather than engineering a custom cell for each market, Blue Current is going to market with a single chemistry and a minimal set of form factors that can serve stationary storage, robotics, drones, and eventually automotive. Susan cited Tesla as the precedent — same battery architecture, multiple deployment contexts, manufacturing scale that cross-subsidizes all of them. The constraint is intentional: their pilot line has limited channels, so every testing decision carries an opportunity cost. Founders scaling hardware or infrastructure products should think about form factor proliferation the way software founders think about feature bloat. Every new variant has a hidden cost in manufacturing, testing, and operational complexity.

Conversation
Highlights

 

When the Market You Built For Stops Moving

Blue Current spent six years perfecting a battery chemistry before Susan Stone ever walked through the door.

Not six months. Not two years. Six. The company, founded in 2014, had already scrapped one technology after early cells literally caught fire during third-party testing. They rebuilt around silicon as an active anode material in a fully dry architecture — a combination that produces a battery that is inherently safe without trading away energy density, cycle life, or high-temperature performance.

By the time Stone joined as CEO in late 2024, the chemistry was ready. The commercialization effort was just beginning.

“We were really at the beginning of commercialization,” Stone said in a recent episode of Unicorn Builders. “When I joined, we were sampling R&D cells and sharing data, but that was about it.”

What followed is a case study in how to navigate a market pivot when you’re pre-revenue, capital-constrained, and the window is closing faster than your original plan assumed.

The Cascading Effect

Six months in, the EV market began visibly cooling. Most read this as a demand problem. Stone saw something more structural.

“It’s not just that the market demand is going to be smaller for the go-to-market,” she explained. “It’s also that the speed at which these companies want to adopt a new technology is slowing down. So you kind of get this cascading effect.”

This is the part that gets underestimated. A contracting market that simultaneously slows its adoption of new technology is not a linear headwind — it compounds. Revenue opportunity shrinks while the sales cycle elongates. For a pre-revenue deep tech company burning toward a pilot line commission, that combination doesn’t just slow growth. It threatens the timeline entirely.

Blue Current had to move.

First Principles Over Trend-Chasing

The temptation in moments like this is to chase whatever market is heating up. Stone resisted it. The team ran a structured exercise: map the battery’s actual performance characteristics against what each potential application genuinely requires, then find where Blue Current would be compelling — not just present — against the incumbent.

In stationary storage, that incumbent is LFP — largely Chinese-manufactured, strong on cycle life, increasingly cost-competitive. The bar Stone set was not “can we compete.” It was: “do we have a compelling product at the system level, not just the cell level.”

“We really needed to be convinced that we had a compelling product, not just a good enough product, stacked up against the competition,” she said.

That distinction — cell-level performance versus system-level economics — is where most battery companies oversell themselves. Blue Current modeled their cells packaged into full systems before committing. When the system-level comparison held up against LFP, stationary storage became their anchor market.

Robotics and drones followed for compounding reasons: high-performance battery requirements, short development cycles, and an acute sensitivity to safety — all three of which align directly with what Blue Current’s dry silicon architecture delivers structurally, not through thermal management workarounds.

The One-Way Door

Simultaneously, Stone faced a harder decision on the existing side of the ledger.

When she joined, Blue Current had an active co-development agreement with an automotive OEM — a collaborative research arrangement where both parties had contributed IP toward a joint battery. As the OEM’s strategy shifted, the resource demands on Blue Current grew while the long-term strategic value shrank.

Stone applied a framework she’d absorbed through the developing Amazon relationship: one-way door or two-way door?

“Exiting that relationship was a pretty consequential decision,” she said. “And it was the right thing for us to do.”

The value of this framework isn’t the binary itself — most founders intuitively know when a decision is hard to reverse. The value is in using it as a forcing function before the sunk cost logic takes over. Blue Current had contributed IP to that partnership. Walking away meant accepting that loss explicitly. The framework made it possible to do that clearly, without dressing the decision up as something more reversible than it was.

 

Amazon as Market Intelligence, Not Just Capital

The Amazon relationship rewired how Stone thinks about ICP development in hardware.

Amazon had not yet invested when Blue Current was doing its deepest market discovery work. But they were engaged — running extensive due diligence across the technology, the team, and fit across multiple internal applications. That process surfaced something more valuable than a term sheet: direct access to sophisticated internal stakeholders, each accountable for different applications, each with hard-won opinions about what a battery supplier actually needed to deliver.

“They’ve been just incredibly generous with us with their time, helping us understand how we can fit into their ecosystem,” Stone said.

For a company simultaneously evaluating stationary storage, robotics, drones, and automotive — each with different performance requirements, procurement timelines, and risk tolerances — that kind of direct signal from a single sophisticated buyer compressed months of market research into focused conversations. Amazon eventually anchored Blue Current’s latest capital raise. But the strategic leverage came from the relationship, not the check.

Monetizing Safety Indirectly

Stone’s framing on safety pricing is worth sitting with.

Blue Current’s battery is inherently safe by architecture — not safe because of management systems compensating for instability, but physically resistant to the thermal runaway failure mode that makes conventional lithium-ion dangerous. That is a real and meaningful technical distinction.

And yet Stone doesn’t price it as a premium line item.

“We have a hypothesis that customers won’t really pay for safety on its own,” she said, “but the benefits that come with safety accrue to the customer. And so on the margin, that gives us a competitive advantage.”

The downstream benefits — simpler system integration, reduced thermal management overhead, lower liability exposure, operational reliability in high-temperature environments — show up in the customer’s total cost of ownership without appearing as a negotiated feature. Founders with a structurally differentiated product that buyers won’t explicitly pay for should study this framing. The answer is not to discount the differentiation. It’s to make the downstream economics visible instead.

Constrain the Roadmap to Protect the Manufacturing Case

The final architectural decision that ties everything together: Blue Current is going to market with a single battery chemistry and a deliberately minimal set of form factors, serving stationary storage, robotics, and drones from the same manufacturing foundation.

This is not a resource constraint dressed up as strategy. It’s an active choice to protect the path to scale.

Blue Current’s pilot line has a finite number of test channels. Every form factor variation consumes testing capacity that cannot be recovered. Proliferating variants to chase individual customer specifications would fragment that capacity, obscure the unit economics of scale manufacturing, and delay the inflection point where volume starts working in their favor.

Stone cited Tesla as the model — one battery architecture, multiple deployment contexts, manufacturing scale that cross-subsidizes across applications. The goal is a gigawatt-hour scale factory in production within five to ten years. Stone is building the roadmap to hit the closer end of that range.

The chemistry is proven. The markets are defined. The one-way doors have been walked through.

What remains is the hardest part: executing at speed before time becomes the deciding variable.

 

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