Over the past 15 years of impact investing in cleantech, I’ve learned that traction alone doesn’t always predict success. A startup can have impressive revenue numbers, a trustworthy founder, and even a patent—and still fail spectacularly. What I’ve been missing, until recently, as part of my investment criteria is a more rigorous way to assess whether a startup can actually dominate a niche and then expand systematically.
Recently, I’ve been revisiting Peter Thiel’s Zero to One philosophy, Prof. Christiansen’s The Innovator’s Dilemma and reflecting on my own portfolio wins and losses. One pattern kept emerging: the startups I backed that thrived were those that started small, owned a specific market segment completely, and then expanded in concentric circles. The ones that struggled tried to do everything at once.
So I’m adding an 11th investment criterion – one that pulls from Thiel’s monopoly framework and from Prof. Christiansen’s corroboration that disruptive startups address what initially are perceived as niche markets, focusing on translating these strategies to the realities of emerging markets and impact investing.
My 11 Investment Criteria at a Glance
Here’s the complete framework I now use to evaluate cleantech startups:
| Criterion | Description | Why it matters |
| 1. Stage | Seed to Series A (“Goldilocks Zone”) | Beyond idea, before international expansion—sweet spot for value creation |
| 2. Round Size | $500k-$2M first institutional round | Tied to the previous one + appropriate capital for de-risking the business model |
| 3. Market Traction | At least a successful paid pilot + proven demand (« paying clients ») | Validates product market fit, understand SOM, customer needs |
| 4. Revenues | Minimum: $60-100K pa + $5K MRR with monthly growth | Understand unit economics, economic sustainability of business |
| 5. Valuation | USD 1-5m pre | Protects my ownership, allows for follow on, founder alignment |
6. Impact Focus | Solves a major problem (cleantech / emerging markets priority) | Aligns with my Theory of Change – this is why I invest |
| 7. Competition | Other players in the space | Validates the market opportunity; avoid isolated ideas even if they may seem moonshots |
| 8. Team | Trustworthy founders + strong technical expertise | Resilience and mitigate execution risk; invest in great teams |
| 9. Capital Efficiency | Demonstrated lean operations | Founders that don’t need to be constantly fundraising and treat capital as if it were their own |
| 10. Commitment | Full time founder(s) | Skin in the game |
| 11. NICHE DOMINANCE & EXPANSION PATHWAY (NEW) | Credible plan to dominate a defined beachhead market within 12-18 months, with documented strategy to expand concentrically into adjacent segments through network leverage, plus defensible competitive moat | Separates sustainable monopolies from scattered “traction” |
Why I Have Added Criterion #11
The 11th criterion addresses a gap I’ve noticed in my older evaluation process. Many startups I looked at had strong fundamentals on criteria 1-10, but they lacked a clear strategy for building a defensible position. They were chasing broad markets instead of dominating narrow ones.
Peter Thiel teaches that the best companies don’t compete—they dominate small niches and expand concentrically. But I was evaluating traction without assessing how that traction positioned the startup for long-term market dominance.
Consider the difference:
Without Criterion #11: A startup with $800K annual revenue and steady growth looks promising.
With Criterion #11: Does that revenue come from dominance in one specific customer segment or geography, or scattered customers across multiple segments? The first suggests a moat; the second suggests potential vulnerability to larger competitors.
Two Companies from My Portfolio That Embody Criterion #11
Let me walk through two companies I’ve invested in that exemplify this principle.
WasteTide: Turning Industrial Waste into Revenue
I invested in WasteTide because Nicolas Brien, the founder, understood something fundamental about industrial waste: companies treat it as a cost center when it should be a revenue line.
Here’s where they started small:
1. Clear beachhead: European industrial facilities (paid pilots) – specifically manufacturers with complex waste streams that traditional waste management companies analyze slowly (weeks of lab tests, guesswork).
2. Defensible moat: Their flagship product, WasteScan, uses smartphone photos and AI to instantly assess waste composition and value. No lab tests. No waiting. This isn’t incremental improvement – it’s a 10x better alternative to the clipboard-and-guesswork approach, defensible through having more refined algorithms than potential competitors.
3. Proven unit economics: WasteTide not only saves GhG for its clients, it provides them with information on the value of their waste stream that allows them to negotiate more intelligently with recyclers, i.e., obtain more value from waste. From day 1, the services offered by WasteTide are tied to creating additional revenues for its clients, and deploying a scalable solution.
4. Known expansion roadmap: WasteTide has been targeting a specific EU market in its first phase, then it will scale to other countries in the EU, before expanding to other jurisdictions.
WasteTide meets Criterion #11 perfectly: clear beachhead dominance in European industrial waste → integrated AI moat → documented, network/client-driven expansion to the US or other markets.
Kapacity.io: The Heat Pump Optimization Wedge
I invested in Kapacity.io for a simple reason: they had identified a narrow problem that larger competitors were ignoring.
Heat pumps are economically superior to gas boilers – if you can solve the upfront cost barrier and energy efficiency challenge. Most heat pump manufacturers compete on price and scale. Kapacity.io competed on something different: making existing heat pumps 25% more efficient through AI-driven optimization.
This was their beachhead strategy:
1. Narrow problem: commercial buildings heat pumps that need optimal efficiency to make payback economics work (6-8 years instead of 9-17 years). Not everyone – just buildings where thermal dynamics allow smart control.
2. Defensible moat: Proprietary machine learning algorithms that predict weather, occupancy patterns, and electricity prices, then automatically adjust heating/cooling without sacrificing comfort. This isn’t configuration; its predictive intelligence. Larger heat pump makers can’t replicate this overnight.
3. Capital efficiency: Y Combinator validation was critical. They proved lean execution in a hardware-adjacent space—always difficult.
4. Expansion pathway: They validated the niche so thoroughly that EnergyHub, North America’s largest residential flexibility provider, acquired them.
Kapacity.io exemplifies Criterion #11: identify a specific pain point → build technology moat that larger competitors can’t quickly copy → expand through validated acquisition or organic growth.
Moving Forward
Despite having invested in cleantech for 15 years, adding criterion #11 will help me challenge startups on their strategy and identify what may be missing, avoiding wishful thinking and unexpected pivots.
If you’re a climate founder reading this, here is my 2c: don’t try to save the world on day one. Save one specific problem for one specific customer segment completely. Own that niche so thoroughly that larger competitors would rather partner with you than compete against you. Then expand to the next niche using relationships and (proprietary) data advantage.
This is not Silicon Valley hype, or guru talk. This is how defensible climate businesses are and should be built, particularly those operating in emerging markets where access to capital is often challenging.
Final Ask: Share your knowledge
What’s your experience? Have you seen this play out in your own portfolio—either the wins or the failures? I’m always eager to learn from the entrepreneurs and investment community, and I’d love to hear your stories.
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