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Julia Wu & Anuj Saigal (SparkHQ.ai) on AI, Permitting Bottlenecks, and the Next Wave of Solar Development

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Manage episode 515012720 series 3697025
Content provided by Peter Pongracz. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Peter Pongracz or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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In this episode of the Soliverse Podcast, Peter sits down with Julia Wu and Anuj Saigal—co-founders of SparkHQ.ai, the AI startup tackling one of clean energy’s biggest pain points: permitting.

With delays and cancellations killing up to 80% of solar projects, Spark is using large language models and real-world empathy to help developers build faster, smarter, and at scale.

They discuss:

🧠 Why AI is essential to energy infrastructure—not just a nice-to-have

📍 How Spark helps navigate 20,000+ local permitting jurisdictions

⚡ The real cost of zoning delays, moratoria, and sentiment blind spots

💻 Why legacy permitting tools can’t keep up—and Spark’s AI-first solution does

🌍 How battery storage and data centers are reshaping developer workflows

🧱 Lessons from Y Combinator and building in a high-stakes climate market

📊 Why the best developers are doubling down—despite market volatility

Connect with SparkHQ.ai:

🌐 Website: https://sparkhq.ai

📧 Email: [email protected] | [email protected]

🔗 LinkedIn – Julia: https://www.linkedin.com/in/juliaxwu

🔗 LinkedIn – Anuj: https://www.linkedin.com/in/anujsaigal/

Referenced Resources:

📚 Inflation Reduction Act

📊 Berkeley Lab – Interconnection & permitting stats

🧱 Ezra Klein on “Abundance” and infrastructure bottlenecks

Connect with Soliverse:

🎧 Spotify: https://open.spotify.com/show/6C2HVmlEcsFXJqzxlfT9uA?si=f7fe6e3ff9b441a5

🌐 Website: https://soliverse.energy

🔗 LinkedIn – Peter: https://www.linkedin.com/in/peterpongraczsaas

🔗 LinkedIn – Soliverse: https://www.linkedin.com/company/106534214/

Support the show

  continue reading

30 episodes

Artwork
iconShare
 
Manage episode 515012720 series 3697025
Content provided by Peter Pongracz. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Peter Pongracz or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Send us a text

In this episode of the Soliverse Podcast, Peter sits down with Julia Wu and Anuj Saigal—co-founders of SparkHQ.ai, the AI startup tackling one of clean energy’s biggest pain points: permitting.

With delays and cancellations killing up to 80% of solar projects, Spark is using large language models and real-world empathy to help developers build faster, smarter, and at scale.

They discuss:

🧠 Why AI is essential to energy infrastructure—not just a nice-to-have

📍 How Spark helps navigate 20,000+ local permitting jurisdictions

⚡ The real cost of zoning delays, moratoria, and sentiment blind spots

💻 Why legacy permitting tools can’t keep up—and Spark’s AI-first solution does

🌍 How battery storage and data centers are reshaping developer workflows

🧱 Lessons from Y Combinator and building in a high-stakes climate market

📊 Why the best developers are doubling down—despite market volatility

Connect with SparkHQ.ai:

🌐 Website: https://sparkhq.ai

📧 Email: [email protected] | [email protected]

🔗 LinkedIn – Julia: https://www.linkedin.com/in/juliaxwu

🔗 LinkedIn – Anuj: https://www.linkedin.com/in/anujsaigal/

Referenced Resources:

📚 Inflation Reduction Act

📊 Berkeley Lab – Interconnection & permitting stats

🧱 Ezra Klein on “Abundance” and infrastructure bottlenecks

Connect with Soliverse:

🎧 Spotify: https://open.spotify.com/show/6C2HVmlEcsFXJqzxlfT9uA?si=f7fe6e3ff9b441a5

🌐 Website: https://soliverse.energy

🔗 LinkedIn – Peter: https://www.linkedin.com/in/peterpongraczsaas

🔗 LinkedIn – Soliverse: https://www.linkedin.com/company/106534214/

Support the show

  continue reading

30 episodes

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