Scaling Green-Tech
Scaling Green-Tech by Adopter is a podcast for people shaping the future of climate technology - founders, investors, and ecosystem leaders at the forefront of adaptation and resilience solutions.
- Indexed episodes, last 90 days
- 3
- Latest publication
- Sep 1, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 14, 2026
Latest episodes
Will Tope (LiNa Energy) - Building Grid-Scale Batteries from Salt (opens the original)
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Will Tope, CEO of LiNa Energy, discusses low-cost sodium batteries and how deep tech companies find product-market fit on Episode 31 of Scaling Green Tech, a podcast by Adopter. Tope explains that LiNa Energy did not invent a new chemistry. The company revived the ZEBRA battery, a sodium-based design from the 1980s that is inherently safe and heat-tolerant but historically too expensive to manufacture. LiNa's contribution is the electrolyte: a ceramic component that once had to be baked slowly i
Jonathan Jackson (Previsico) - Flood Risk in a Changing Climate (opens the original)
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Jonathan Jackson, CEO of Previsico, discusses forecasting surface water flooding and scaling a university spin-out on Episode 30 of Scaling Green Tech, a podcast by Adopter. Previsico gives property-level flood warnings up to 48 hours ahead. Jackson explains that surface water is now close to 60% of UK flood risk, driven by a changing climate, urbanisation and ageing drainage. The company began as a Loughborough University spin-out built on Professor Dapeng Yu's flood model, with the UK governme
Darren Ralphs (Sylvera) - AI, SEO and the New Rules of B2B Content (opens the original)
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Episode summary Darren Ralphs, Content Lead at Sylvera, discusses how B2B content strategy is adapting to AI search and LLM visibility on Episode 29 of Scaling Green Tech, a podcast by Adopter.Ralphs argues that Sylvera's visibility in tools like ChatGPT and Perplexity depends less on publishing volume than on signalling recency and authority. He points to Sylvera's practice of mining long-tail search terms from sales calls and Notion documentation, a technique he links to stronger LLM citation
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