Dec 8, 2022 · 38m · how-i-built-this

HIBT Lab! Gro Intelligence: Sara Menker

Sara Menker · 27m spoken Guy Raz · 7m spoken
0:00 / 0:00

gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

In this episode of How I Built This Lab, host Guy Raz interviews Gro Intelligence founder and CEO Sara Menker about her journey from commodities trading to building an AI-powered agricultural data platform. Menker explains how Gro models global climate volatility, fertilizer shortages, and supply chain disruptions to illuminate systemic food insecurity and help institutions mitigate famine risks.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Guy holds 23.1% of the talking time here. How this is scored →

Guy as informed peer 2.7 Guest teaching 4.2 Guest disagreement 0.5 Guy pushing back 0.3
05100:0010:0020:0030:002:28–8:16 · Guy as informed peer 3/10 Commodities Trading and Discovering Agriculture Data Gaps Guy asks standard biographical questions about Sara's pivot from Wall Street to agriculture. Sara explains the structural lack of data infrastructure in agricultural investing compared to energy commodities.8:16–11:47 · Guy as informed peer 4/10 Leaving Wall Street to Build Gro Intelligence Guy demonstrates strong understanding of food waste and distribution paradoxes. Sara gently clarifies the timeline of her departure from Morgan Stanley and expands on local access versus affordability.11:50–16:21 · Guy as informed peer 2/10 Mid-Interview Station Break and Program Preview Guy asks an open-ended question about how Gro models data. Sara delivers an extensive technical breakdown of Gro's 28 modeling frameworks, 50,000 global sources, and automated ingestion pipeline.16:23–19:57 · Guy as informed peer 3/10 Compounding Shocks in Global Grain and Food Supply Sara reframes Guy's premise about the Ukraine war sparking the grain crisis, detailing that structural shifts in Chinese grain demand and climate shocks had already destabilized the system since 2020.19:57–23:54 · Guy as informed peer 3/10 The Global Fertilizer Shortage and Caloric Yield Deficits Guy asks why fertilizer is experiencing shortages. Sara provides an agronomic and chemical breakdown linking natural gas prices to nitrogen fertilizer shutdowns and a 216 trillion calorie deficit.23:56–26:47 · Guy as informed peer 3/10 Mid-Episode Commercial Intermission Guy asks whether the confluence of crises could create severe famine. Sara validates the concern with concrete inflation statistics across Sudan, Syria, Ethiopia, and Argentina.26:48–29:02 · Guy as informed peer 2/10 Recruiting Interdisciplinary Domain Experts for Gro Intelligence Guy inquires about early team building. Sara explains her philosophy of hiring domain experts in agronomy and climatology before onboarding core software engineers.29:03–32:22 · Guy as informed peer 3/10 Gro Intelligence's Modular Application Store and SaaS Model Guy challenges Sara on how Gro competes with free public datasets like the USDA. Sara clarifies that Gro delivers insights 4 to 6 months faster than USDA and up to 2 years faster in emerging markets.32:24–35:07 · Guy as informed peer 2/10 Founder's Hands-On Learning and Platform Infrastructure Guy asks about the technical learning curve for a former energy trader. Sara explains how she self-taught technical topics like satellite imagery analysis and cloud infrastructure.35:09–37:46 · Guy as informed peer 2/10 Climate Risk Indices and Long-Term Land Suitability Guy asks how Gro's data aids climate adaptation. Sara explains their proprietary climate risk indices and forward-looking land suitability application for agricultural investment.2:28–8:16 · Guest teaching 4/10 Commodities Trading and Discovering Agriculture Data Gaps Guy asks standard biographical questions about Sara's pivot from Wall Street to agriculture. Sara explains the structural lack of data infrastructure in agricultural investing compared to energy commodities.8:16–11:47 · Guest teaching 3/10 Leaving Wall Street to Build Gro Intelligence Guy demonstrates strong understanding of food waste and distribution paradoxes. Sara gently clarifies the timeline of her departure from Morgan Stanley and expands on local access versus affordability.11:50–16:21 · Guest teaching 5/10 Mid-Interview Station Break and Program Preview Guy asks an open-ended question about how Gro models data. Sara delivers an extensive technical breakdown of Gro's 28 modeling frameworks, 50,000 global sources, and automated ingestion pipeline.16:23–19:57 · Guest teaching 6/10 Compounding Shocks in Global Grain and Food Supply Sara reframes Guy's premise about the Ukraine war sparking the grain crisis, detailing that structural shifts in Chinese grain demand and climate shocks had already destabilized the system since 2020.19:57–23:54 · Guest teaching 5/10 The Global Fertilizer Shortage and Caloric Yield Deficits Guy asks why fertilizer is experiencing shortages. Sara provides an agronomic and chemical breakdown linking natural gas prices to nitrogen fertilizer shutdowns and a 216 trillion calorie deficit.23:56–26:47 · Guest teaching 5/10 Mid-Episode Commercial Intermission Guy asks whether the confluence of crises could create severe famine. Sara validates the concern with concrete inflation statistics across Sudan, Syria, Ethiopia, and Argentina.26:48–29:02 · Guest teaching 3/10 Recruiting Interdisciplinary Domain Experts for Gro Intelligence Guy inquires about early team building. Sara explains her philosophy of hiring domain experts in agronomy and climatology before onboarding core software engineers.29:03–32:22 · Guest teaching 5/10 Gro Intelligence's Modular Application Store and SaaS Model Guy challenges Sara on how Gro competes with free public datasets like the USDA. Sara clarifies that Gro delivers insights 4 to 6 months faster than USDA and up to 2 years faster in emerging markets.32:24–35:07 · Guest teaching 2/10 Founder's Hands-On Learning and Platform Infrastructure Guy asks about the technical learning curve for a former energy trader. Sara explains how she self-taught technical topics like satellite imagery analysis and cloud infrastructure.35:09–37:46 · Guest teaching 4/10 Climate Risk Indices and Long-Term Land Suitability Guy asks how Gro's data aids climate adaptation. Sara explains their proprietary climate risk indices and forward-looking land suitability application for agricultural investment.2:28–8:16 · Guest disagreement 0/10 Commodities Trading and Discovering Agriculture Data Gaps Guy asks standard biographical questions about Sara's pivot from Wall Street to agriculture. Sara explains the structural lack of data infrastructure in agricultural investing compared to energy commodities.8:16–11:47 · Guest disagreement 1/10 Leaving Wall Street to Build Gro Intelligence Guy demonstrates strong understanding of food waste and distribution paradoxes. Sara gently clarifies the timeline of her departure from Morgan Stanley and expands on local access versus affordability.11:50–16:21 · Guest disagreement 0/10 Mid-Interview Station Break and Program Preview Guy asks an open-ended question about how Gro models data. Sara delivers an extensive technical breakdown of Gro's 28 modeling frameworks, 50,000 global sources, and automated ingestion pipeline.16:23–19:57 · Guest disagreement 2/10 Compounding Shocks in Global Grain and Food Supply Sara reframes Guy's premise about the Ukraine war sparking the grain crisis, detailing that structural shifts in Chinese grain demand and climate shocks had already destabilized the system since 2020.19:57–23:54 · Guest disagreement 0/10 The Global Fertilizer Shortage and Caloric Yield Deficits Guy asks why fertilizer is experiencing shortages. Sara provides an agronomic and chemical breakdown linking natural gas prices to nitrogen fertilizer shutdowns and a 216 trillion calorie deficit.23:56–26:47 · Guest disagreement 1/10 Mid-Episode Commercial Intermission Guy asks whether the confluence of crises could create severe famine. Sara validates the concern with concrete inflation statistics across Sudan, Syria, Ethiopia, and Argentina.26:48–29:02 · Guest disagreement 0/10 Recruiting Interdisciplinary Domain Experts for Gro Intelligence Guy inquires about early team building. Sara explains her philosophy of hiring domain experts in agronomy and climatology before onboarding core software engineers.29:03–32:22 · Guest disagreement 1/10 Gro Intelligence's Modular Application Store and SaaS Model Guy challenges Sara on how Gro competes with free public datasets like the USDA. Sara clarifies that Gro delivers insights 4 to 6 months faster than USDA and up to 2 years faster in emerging markets.32:24–35:07 · Guest disagreement 0/10 Founder's Hands-On Learning and Platform Infrastructure Guy asks about the technical learning curve for a former energy trader. Sara explains how she self-taught technical topics like satellite imagery analysis and cloud infrastructure.35:09–37:46 · Guest disagreement 0/10 Climate Risk Indices and Long-Term Land Suitability Guy asks how Gro's data aids climate adaptation. Sara explains their proprietary climate risk indices and forward-looking land suitability application for agricultural investment.2:28–8:16 · Guy pushing back 0/10 Commodities Trading and Discovering Agriculture Data Gaps Guy asks standard biographical questions about Sara's pivot from Wall Street to agriculture. Sara explains the structural lack of data infrastructure in agricultural investing compared to energy commodities.8:16–11:47 · Guy pushing back 0/10 Leaving Wall Street to Build Gro Intelligence Guy demonstrates strong understanding of food waste and distribution paradoxes. Sara gently clarifies the timeline of her departure from Morgan Stanley and expands on local access versus affordability.11:50–16:21 · Guy pushing back 0/10 Mid-Interview Station Break and Program Preview Guy asks an open-ended question about how Gro models data. Sara delivers an extensive technical breakdown of Gro's 28 modeling frameworks, 50,000 global sources, and automated ingestion pipeline.16:23–19:57 · Guy pushing back 1/10 Compounding Shocks in Global Grain and Food Supply Sara reframes Guy's premise about the Ukraine war sparking the grain crisis, detailing that structural shifts in Chinese grain demand and climate shocks had already destabilized the system since 2020.19:57–23:54 · Guy pushing back 0/10 The Global Fertilizer Shortage and Caloric Yield Deficits Guy asks why fertilizer is experiencing shortages. Sara provides an agronomic and chemical breakdown linking natural gas prices to nitrogen fertilizer shutdowns and a 216 trillion calorie deficit.23:56–26:47 · Guy pushing back 0/10 Mid-Episode Commercial Intermission Guy asks whether the confluence of crises could create severe famine. Sara validates the concern with concrete inflation statistics across Sudan, Syria, Ethiopia, and Argentina.26:48–29:02 · Guy pushing back 0/10 Recruiting Interdisciplinary Domain Experts for Gro Intelligence Guy inquires about early team building. Sara explains her philosophy of hiring domain experts in agronomy and climatology before onboarding core software engineers.29:03–32:22 · Guy pushing back 2/10 Gro Intelligence's Modular Application Store and SaaS Model Guy challenges Sara on how Gro competes with free public datasets like the USDA. Sara clarifies that Gro delivers insights 4 to 6 months faster than USDA and up to 2 years faster in emerging markets.32:24–35:07 · Guy pushing back 0/10 Founder's Hands-On Learning and Platform Infrastructure Guy asks about the technical learning curve for a former energy trader. Sara explains how she self-taught technical topics like satellite imagery analysis and cloud infrastructure.35:09–37:46 · Guy pushing back 0/10 Climate Risk Indices and Long-Term Land Suitability Guy asks how Gro's data aids climate adaptation. Sara explains their proprietary climate risk indices and forward-looking land suitability application for agricultural investment.

speaking balance: gold is Guy, purple is the guest (3 minute bins)

0:00 · Guy 48% · guest 52%0:00 · Guy 48% · guest 52%3:00 · Guy 12.9% · guest 87.1%3:00 · Guy 12.9% · guest 87.1%6:00 · Guy 24.5% · guest 75.5%6:00 · Guy 24.5% · guest 75.5%9:00 · Guy 22.9% · guest 77.1%9:00 · Guy 22.9% · guest 77.1%12:00 · Guy 23.9% · guest 76.1%12:00 · Guy 23.9% · guest 76.1%15:00 · Guy 17.5% · guest 82.5%15:00 · Guy 17.5% · guest 82.5%18:00 · Guy 9.8% · guest 90.2%18:00 · Guy 9.8% · guest 90.2%21:00 · Guy 13.8% · guest 86.2%21:00 · Guy 13.8% · guest 86.2%24:00 · Guy 51.9% · guest 48.1%24:00 · Guy 51.9% · guest 48.1%27:00 · Guy 8.6% · guest 91.4%27:00 · Guy 8.6% · guest 91.4%30:00 · Guy 15.5% · guest 84.5%30:00 · Guy 15.5% · guest 84.5%33:00 · Guy 16.5% · guest 83.5%33:00 · Guy 16.5% · guest 83.5%36:00 · Guy 37.2% · guest 62.8%36:00 · Guy 37.2% · guest 62.8%
Sharpest disagreement ▶ 16:55 Refuting the war as root cause

Sara directly dismisses the common media narrative that the Russia-Ukraine war caused the global food crisis, insisting it merely accelerated structural imbalances that began in 2020.

Hardest push from Guy ▶ 30:38 Questioning differentiation from free government data

Guy presses Sara to justify Gro's commercial SaaS value proposition against freely available public reporting from government agencies.

Biggest teaching moment ▶ 30:50 Explaining multi-month and multi-year forecasting leads

Sara educates Guy on government reporting limitations, revealing Gro's 4-6 month lead over the USDA and 1-2 year lead in international markets down to district-level crop detection.

Guy holds their own ▶ 9:52 Articulating the food waste and distribution paradox

Guy articulates a sophisticated question citing specific US food waste metrics and probing the conceptual difference between aggregate supply and real-world accessibility.

the scores for every segment, with the reasoning behind each
ChapterTopicGuy as informed peerGuest teachingGuest disagreementGuy pushing backWhy
Commodities Trading and Discovering Agriculture Data Gaps 3400 Guy asks standard biographical questions about Sara's pivot from Wall Street to agriculture. Sara explains the structural lack of data infrastructure in agricultural investing compared to energy commodities.
Leaving Wall Street to Build Gro Intelligence 4310 Guy demonstrates strong understanding of food waste and distribution paradoxes. Sara gently clarifies the timeline of her departure from Morgan Stanley and expands on local access versus affordability.
Mid-Interview Station Break and Program Preview 2500 Guy asks an open-ended question about how Gro models data. Sara delivers an extensive technical breakdown of Gro's 28 modeling frameworks, 50,000 global sources, and automated ingestion pipeline.
Compounding Shocks in Global Grain and Food Supply 3621 Sara reframes Guy's premise about the Ukraine war sparking the grain crisis, detailing that structural shifts in Chinese grain demand and climate shocks had already destabilized the system since 2020.
The Global Fertilizer Shortage and Caloric Yield Deficits 3500 Guy asks why fertilizer is experiencing shortages. Sara provides an agronomic and chemical breakdown linking natural gas prices to nitrogen fertilizer shutdowns and a 216 trillion calorie deficit.
Mid-Episode Commercial Intermission 3510 Guy asks whether the confluence of crises could create severe famine. Sara validates the concern with concrete inflation statistics across Sudan, Syria, Ethiopia, and Argentina.
Recruiting Interdisciplinary Domain Experts for Gro Intelligence 2300 Guy inquires about early team building. Sara explains her philosophy of hiring domain experts in agronomy and climatology before onboarding core software engineers.
Gro Intelligence's Modular Application Store and SaaS Model 3512 Guy challenges Sara on how Gro competes with free public datasets like the USDA. Sara clarifies that Gro delivers insights 4 to 6 months faster than USDA and up to 2 years faster in emerging markets.
Founder's Hands-On Learning and Platform Infrastructure 2200 Guy asks about the technical learning curve for a former energy trader. Sara explains how she self-taught technical topics like satellite imagery analysis and cloud infrastructure.
Climate Risk Indices and Long-Term Land Suitability 2400 Guy asks how Gro's data aids climate adaptation. Sara explains their proprietary climate risk indices and forward-looking land suitability application for agricultural investment.

Statements from this episode (14)

Opinion
Menker: Gold is the worst apocalyptic investment because it cannot be eaten
“Like if you think the world's coming to an end, like that just gold seems like the worst investment idea.”
Sara Menker Dec 8, 2022 ▶ 5:10
Insight
Menker: Global food security requires understanding complex agricultural systems first
“At some point it became clear to me, we were like trying to fix a system we didn't even understand.”
Sara Menker Dec 8, 2022 ▶ 6:30
Assertion Not checkable as stated
Menker: Gro Intelligence aggregates agricultural data from 50,000 global sources
“We get data from 50,000 sources around the world.”
Sara Menker Dec 8, 2022 ▶ 13:55
Assertion Not checkable as stated
Menker: Gro Intelligence runs 28 frameworks to generate 2 million unique models
“Today we have 28 modeling frameworks in the system... And so today, those 28 modeling frameworks actually develop two million unique models by Grow.”
Sara Menker Dec 8, 2022 ▶ 14:39
Opinion
Menker: The Russia-Ukraine war exacerbated, but did not start, the food crisis
“The Russia-Ukraine war didn't start a food security crisis. It added fuel to an already, like, long burning fire. And I think it's really, really important to sort of highlight that, because if the war went away tomorrow, the crisis we're in doesn't go away, r…”
Sara Menker Dec 8, 2022 ▶ 16:55
Assertion Partly supported
Menker: China transitioned into a structural importer of core grains in 2020
“In twenty-twenty, it turned into a structural importer of grains. That means that the world's sort of largest economy went from being self-sufficient in some of these core grains to being insufficient.”
Sara Menker Dec 8, 2022 ▶ 17:53
Assertion Supported
Menker: Russia and Ukraine drove global agricultural production growth for 15 years
“Russia and Ukraine over sort of the last 15 years had emerged as sort of the major growth areas of the world for agricultural production to fill sort of that demand gap that was coming from areas like Sub-Saharan Africa, et cetera, where economies were growing…”
Sara Menker Dec 8, 2022 ▶ 19:10
Assertion Supported
Menker: Natural gas drives 70 to 90 percent of nitrogen fertilizer costs
“70 to 90% of the cost of producing nitrogen-based fertilizer is the cost of natural gas.”
Sara Menker Dec 8, 2022 ▶ 20:49
Prediction Not checkable as stated
Menker: Nitrogen shortages will cut global food supply by 216 trillion calories
“What we see now is that basically just the nitrogen problem alone is going to lead to a reduction of 216 trillion calories around the world. And that's just simply due to the fact that using less fertilizer is going to lead to a reduction in yield.”
Sara Menker Dec 8, 2022 ▶ 21:47
Assertion Supported
Menker: Basic food prices surged up to 1900 percent globally since 2020
“The price of a basket of basic products in Sudan is up 1900%. In Syria, it's up 700%. In Ethiopia, it's up 175%. In Argentina, it's up 300%. Even in the U.S., it's up 67%. Europe, 80%.”
Sara Menker Dec 8, 2022 ▶ 25:48
Disclosure
Menker: Gro Intelligence prioritized hiring domain experts before hiring software technologists
“So before actually thinking of the technologists, we thought about the domain experts. Who are people who know agriculture? We need agronomists. We need people who traded agricultural markets. We need climate scientists.”
Sara Menker Dec 8, 2022 ▶ 28:39
Disclosure
Menker: Gro Intelligence software costs up to 50,000 dollars per seat
“And one application can be 10,000 dollars Per seat. Another one can be 15. Another one's 50. Depends on the use case, and then depends number of seats or whether it's an enterprise license or not, and so we've been able to sort of build out this licensing mode…”
Sara Menker Dec 8, 2022 ▶ 30:20
Assertion Not checkable as stated
Menker: Gro predicts data months before the USDA with near-perfect accuracy
“Even in the U.S., our models are predictive and accurate four to six months in In advance of when the USDA comes out with its numbers within like, 98 to 99% accuracy.”
Sara Menker Dec 8, 2022 ▶ 31:09
Assertion Not checkable as stated
Menker: Gro insights outpace foreign government agricultural reports by two years
“In places like India, in places like Russia, in places like China, in places like Africa, our lead time for sort of our insights is one to two years at times.”
Sara Menker Dec 8, 2022 ▶ 31:26
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