Oct 4, 2021 · 44m · neon-show

Zetwerk founder on Pivoting, Funding and Building a Manufacturing Unicorn ft. Amrit Acharya

Amrit Acharya · 33m spoken Siddhartha Ahluwalia · 5m spoken
0:00 / 0:00
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

In this in-depth interview, Zetwerk co-founder and CEO Amrit Acharya breaks down how the company transformed from an early SaaS concept into a billion-dollar managed contract manufacturing powerhouse. He details Zetwerk's asset-light marketplace model, proprietary supplier cataloging, operational de-risking mechanisms, and the global macroeconomic shifts propelling Indian manufacturing.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Siddhartha holds 12.9% of the talking time here. How this is scored →

Siddhartha as informed peer 4.3 Guest teaching 4.8 Guest disagreement 1.5 Siddhartha pushing back 2.6
05100:0015:0030:002:31–5:28 · Siddhartha as informed peer 4/10 Revenue Milestones, Scale, and Product Diversity Siddhartha asks focused baseline questions about revenue milestones, supplier count, and whether Zetwerk operates asset-light or owns factories. Amrit provides a detailed breakdown of Zetwerk's 900 crore revenue run-rate and horizontal industrial reach.5:29–8:18 · Siddhartha as informed peer 4/10 Revenue Model and the Transition to Managed Marketplace When Siddhartha attempts to calculate GMV by applying marketplace take rates to revenue, Amrit clarifies that for a managed marketplace, GMV equals revenue because Zetwerk acts as the principal master supplier to the enterprise.8:19–10:51 · Siddhartha as informed peer 3/10 Pivoting from SaaS to Pure Marketplace to Managed Marketplace Siddhartha asks about the timing of the business model pivots. Amrit delivers an insightful chronological narrative on moving from SaaS to pure marketplace to full-stack managed manufacturing after confronting enterprise sales cycles and quality liabilities.10:53–14:15 · Siddhartha as informed peer 5/10 De-Risking Manufacturing Through Parallel Production and Technology Siddhartha presses on how quality and consistency are maintained when an order is fragmented across five different suppliers. Amrit explains the concept of parallel manufacturing and how distributed capacity de-risks delivery delays.14:17–16:44 · Siddhartha as informed peer 3/10 Capturing International Demand Amid Global Supply Chain Shifts Siddhartha inquires about global market penetration. Amrit explains how Western macro headwinds and the China+1 strategy catalyzed unexpected US inbound demand.16:46–20:50 · Siddhartha as informed peer 4/10 Market Depth and the Golden Age of Indian Manufacturing Siddhartha queries whether Zetwerk can scale to a $100B valuation and how repeat business works for one-off factory builds. Amrit grounds the valuation timeline while outlining structural replacement and capex cycles.20:53–23:54 · Siddhartha as informed peer 6/10 Order Economics, Category Focus, and Selective Execution Siddhartha challenges the scalability of bespoke manufacturing, noting it acts more like a service business than a product platform. Amrit counters by demonstrating how processes converge into standardized categories and why they reject 80-90% of order volume.23:56–27:34 · Siddhartha as informed peer 5/10 Building the Proprietary Catalog of Indian Manufacturing Capacity Siddhartha asks why Zetwerk cannot take on all order flow given the vast supply base. Amrit explains that Indian manufacturing capacity is entirely uncatalogued and details the 200+ data points collected to map machine fungibility.27:37–30:48 · Siddhartha as informed peer 4/10 Mental Models for Pivoting and Evaluating Founder-Market Fit Siddhartha invites Amrit to share mental models on pivoting. Amrit distinguishes between product-market fit and founder-market fit, explaining why enterprise sales cycles conflicted with their team strengths.30:51–33:28 · Siddhartha as informed peer 3/10 Scaling the Organization: Transitioning from 0-to-1 to 1-to-N Siddhartha asks about organizational models for scaling from 0-to-1 to 1-to-N. Amrit explains transitioning from sales-driven push to culture, decentralization, and executive alignment across 500 employees.33:30–36:09 · Siddhartha as informed peer 5/10 Data-Driven Process Optimization and the Raw Materials Insight Siddhartha asks how Amrit's McKinsey consulting background influenced company processes. Amrit downplays the consulting connection and highlights a specific empirical finding: 80% of manufacturing delays occur during raw material purchasing.36:11–40:19 · Siddhartha as informed peer 4/10 The Fundraising Journey and Securing High-Conviction Capital Siddhartha asks for reflections across various fundraising rounds. Amrit recounts navigating the early Covid-19 freeze in March 2020 and emphasizes prioritizing high-conviction capital over FOMO-driven term sheets.40:21–43:56 · Siddhartha as informed peer 6/10 Venture Round Progression and Cap Table Depth Siddhartha probes how founders should manage pro-rata rights when attempting to bring in fresh capital. Amrit presents a contrarian viewpoint, arguing founders should actively encourage insider concentration because insider double-downs provide the strongest market signal.2:31–5:28 · Guest teaching 3/10 Revenue Milestones, Scale, and Product Diversity Siddhartha asks focused baseline questions about revenue milestones, supplier count, and whether Zetwerk operates asset-light or owns factories. Amrit provides a detailed breakdown of Zetwerk's 900 crore revenue run-rate and horizontal industrial reach.5:29–8:18 · Guest teaching 6/10 Revenue Model and the Transition to Managed Marketplace When Siddhartha attempts to calculate GMV by applying marketplace take rates to revenue, Amrit clarifies that for a managed marketplace, GMV equals revenue because Zetwerk acts as the principal master supplier to the enterprise.8:19–10:51 · Guest teaching 4/10 Pivoting from SaaS to Pure Marketplace to Managed Marketplace Siddhartha asks about the timing of the business model pivots. Amrit delivers an insightful chronological narrative on moving from SaaS to pure marketplace to full-stack managed manufacturing after confronting enterprise sales cycles and quality liabilities.10:53–14:15 · Guest teaching 5/10 De-Risking Manufacturing Through Parallel Production and Technology Siddhartha presses on how quality and consistency are maintained when an order is fragmented across five different suppliers. Amrit explains the concept of parallel manufacturing and how distributed capacity de-risks delivery delays.14:17–16:44 · Guest teaching 4/10 Capturing International Demand Amid Global Supply Chain Shifts Siddhartha inquires about global market penetration. Amrit explains how Western macro headwinds and the China+1 strategy catalyzed unexpected US inbound demand.16:46–20:50 · Guest teaching 5/10 Market Depth and the Golden Age of Indian Manufacturing Siddhartha queries whether Zetwerk can scale to a $100B valuation and how repeat business works for one-off factory builds. Amrit grounds the valuation timeline while outlining structural replacement and capex cycles.20:53–23:54 · Guest teaching 6/10 Order Economics, Category Focus, and Selective Execution Siddhartha challenges the scalability of bespoke manufacturing, noting it acts more like a service business than a product platform. Amrit counters by demonstrating how processes converge into standardized categories and why they reject 80-90% of order volume.23:56–27:34 · Guest teaching 6/10 Building the Proprietary Catalog of Indian Manufacturing Capacity Siddhartha asks why Zetwerk cannot take on all order flow given the vast supply base. Amrit explains that Indian manufacturing capacity is entirely uncatalogued and details the 200+ data points collected to map machine fungibility.27:37–30:48 · Guest teaching 5/10 Mental Models for Pivoting and Evaluating Founder-Market Fit Siddhartha invites Amrit to share mental models on pivoting. Amrit distinguishes between product-market fit and founder-market fit, explaining why enterprise sales cycles conflicted with their team strengths.30:51–33:28 · Guest teaching 4/10 Scaling the Organization: Transitioning from 0-to-1 to 1-to-N Siddhartha asks about organizational models for scaling from 0-to-1 to 1-to-N. Amrit explains transitioning from sales-driven push to culture, decentralization, and executive alignment across 500 employees.33:30–36:09 · Guest teaching 5/10 Data-Driven Process Optimization and the Raw Materials Insight Siddhartha asks how Amrit's McKinsey consulting background influenced company processes. Amrit downplays the consulting connection and highlights a specific empirical finding: 80% of manufacturing delays occur during raw material purchasing.36:11–40:19 · Guest teaching 4/10 The Fundraising Journey and Securing High-Conviction Capital Siddhartha asks for reflections across various fundraising rounds. Amrit recounts navigating the early Covid-19 freeze in March 2020 and emphasizes prioritizing high-conviction capital over FOMO-driven term sheets.40:21–43:56 · Guest teaching 6/10 Venture Round Progression and Cap Table Depth Siddhartha probes how founders should manage pro-rata rights when attempting to bring in fresh capital. Amrit presents a contrarian viewpoint, arguing founders should actively encourage insider concentration because insider double-downs provide the strongest market signal.2:31–5:28 · Guest disagreement 1/10 Revenue Milestones, Scale, and Product Diversity Siddhartha asks focused baseline questions about revenue milestones, supplier count, and whether Zetwerk operates asset-light or owns factories. Amrit provides a detailed breakdown of Zetwerk's 900 crore revenue run-rate and horizontal industrial reach.5:29–8:18 · Guest disagreement 2/10 Revenue Model and the Transition to Managed Marketplace When Siddhartha attempts to calculate GMV by applying marketplace take rates to revenue, Amrit clarifies that for a managed marketplace, GMV equals revenue because Zetwerk acts as the principal master supplier to the enterprise.8:19–10:51 · Guest disagreement 1/10 Pivoting from SaaS to Pure Marketplace to Managed Marketplace Siddhartha asks about the timing of the business model pivots. Amrit delivers an insightful chronological narrative on moving from SaaS to pure marketplace to full-stack managed manufacturing after confronting enterprise sales cycles and quality liabilities.10:53–14:15 · Guest disagreement 2/10 De-Risking Manufacturing Through Parallel Production and Technology Siddhartha presses on how quality and consistency are maintained when an order is fragmented across five different suppliers. Amrit explains the concept of parallel manufacturing and how distributed capacity de-risks delivery delays.14:17–16:44 · Guest disagreement 1/10 Capturing International Demand Amid Global Supply Chain Shifts Siddhartha inquires about global market penetration. Amrit explains how Western macro headwinds and the China+1 strategy catalyzed unexpected US inbound demand.16:46–20:50 · Guest disagreement 2/10 Market Depth and the Golden Age of Indian Manufacturing Siddhartha queries whether Zetwerk can scale to a $100B valuation and how repeat business works for one-off factory builds. Amrit grounds the valuation timeline while outlining structural replacement and capex cycles.20:53–23:54 · Guest disagreement 2/10 Order Economics, Category Focus, and Selective Execution Siddhartha challenges the scalability of bespoke manufacturing, noting it acts more like a service business than a product platform. Amrit counters by demonstrating how processes converge into standardized categories and why they reject 80-90% of order volume.23:56–27:34 · Guest disagreement 2/10 Building the Proprietary Catalog of Indian Manufacturing Capacity Siddhartha asks why Zetwerk cannot take on all order flow given the vast supply base. Amrit explains that Indian manufacturing capacity is entirely uncatalogued and details the 200+ data points collected to map machine fungibility.27:37–30:48 · Guest disagreement 1/10 Mental Models for Pivoting and Evaluating Founder-Market Fit Siddhartha invites Amrit to share mental models on pivoting. Amrit distinguishes between product-market fit and founder-market fit, explaining why enterprise sales cycles conflicted with their team strengths.30:51–33:28 · Guest disagreement 1/10 Scaling the Organization: Transitioning from 0-to-1 to 1-to-N Siddhartha asks about organizational models for scaling from 0-to-1 to 1-to-N. Amrit explains transitioning from sales-driven push to culture, decentralization, and executive alignment across 500 employees.33:30–36:09 · Guest disagreement 2/10 Data-Driven Process Optimization and the Raw Materials Insight Siddhartha asks how Amrit's McKinsey consulting background influenced company processes. Amrit downplays the consulting connection and highlights a specific empirical finding: 80% of manufacturing delays occur during raw material purchasing.36:11–40:19 · Guest disagreement 1/10 The Fundraising Journey and Securing High-Conviction Capital Siddhartha asks for reflections across various fundraising rounds. Amrit recounts navigating the early Covid-19 freeze in March 2020 and emphasizes prioritizing high-conviction capital over FOMO-driven term sheets.40:21–43:56 · Guest disagreement 2/10 Venture Round Progression and Cap Table Depth Siddhartha probes how founders should manage pro-rata rights when attempting to bring in fresh capital. Amrit presents a contrarian viewpoint, arguing founders should actively encourage insider concentration because insider double-downs provide the strongest market signal.2:31–5:28 · Siddhartha pushing back 2/10 Revenue Milestones, Scale, and Product Diversity Siddhartha asks focused baseline questions about revenue milestones, supplier count, and whether Zetwerk operates asset-light or owns factories. Amrit provides a detailed breakdown of Zetwerk's 900 crore revenue run-rate and horizontal industrial reach.5:29–8:18 · Siddhartha pushing back 3/10 Revenue Model and the Transition to Managed Marketplace When Siddhartha attempts to calculate GMV by applying marketplace take rates to revenue, Amrit clarifies that for a managed marketplace, GMV equals revenue because Zetwerk acts as the principal master supplier to the enterprise.8:19–10:51 · Siddhartha pushing back 1/10 Pivoting from SaaS to Pure Marketplace to Managed Marketplace Siddhartha asks about the timing of the business model pivots. Amrit delivers an insightful chronological narrative on moving from SaaS to pure marketplace to full-stack managed manufacturing after confronting enterprise sales cycles and quality liabilities.10:53–14:15 · Siddhartha pushing back 4/10 De-Risking Manufacturing Through Parallel Production and Technology Siddhartha presses on how quality and consistency are maintained when an order is fragmented across five different suppliers. Amrit explains the concept of parallel manufacturing and how distributed capacity de-risks delivery delays.14:17–16:44 · Siddhartha pushing back 1/10 Capturing International Demand Amid Global Supply Chain Shifts Siddhartha inquires about global market penetration. Amrit explains how Western macro headwinds and the China+1 strategy catalyzed unexpected US inbound demand.16:46–20:50 · Siddhartha pushing back 3/10 Market Depth and the Golden Age of Indian Manufacturing Siddhartha queries whether Zetwerk can scale to a $100B valuation and how repeat business works for one-off factory builds. Amrit grounds the valuation timeline while outlining structural replacement and capex cycles.20:53–23:54 · Siddhartha pushing back 5/10 Order Economics, Category Focus, and Selective Execution Siddhartha challenges the scalability of bespoke manufacturing, noting it acts more like a service business than a product platform. Amrit counters by demonstrating how processes converge into standardized categories and why they reject 80-90% of order volume.23:56–27:34 · Siddhartha pushing back 4/10 Building the Proprietary Catalog of Indian Manufacturing Capacity Siddhartha asks why Zetwerk cannot take on all order flow given the vast supply base. Amrit explains that Indian manufacturing capacity is entirely uncatalogued and details the 200+ data points collected to map machine fungibility.27:37–30:48 · Siddhartha pushing back 1/10 Mental Models for Pivoting and Evaluating Founder-Market Fit Siddhartha invites Amrit to share mental models on pivoting. Amrit distinguishes between product-market fit and founder-market fit, explaining why enterprise sales cycles conflicted with their team strengths.30:51–33:28 · Siddhartha pushing back 1/10 Scaling the Organization: Transitioning from 0-to-1 to 1-to-N Siddhartha asks about organizational models for scaling from 0-to-1 to 1-to-N. Amrit explains transitioning from sales-driven push to culture, decentralization, and executive alignment across 500 employees.33:30–36:09 · Siddhartha pushing back 3/10 Data-Driven Process Optimization and the Raw Materials Insight Siddhartha asks how Amrit's McKinsey consulting background influenced company processes. Amrit downplays the consulting connection and highlights a specific empirical finding: 80% of manufacturing delays occur during raw material purchasing.36:11–40:19 · Siddhartha pushing back 1/10 The Fundraising Journey and Securing High-Conviction Capital Siddhartha asks for reflections across various fundraising rounds. Amrit recounts navigating the early Covid-19 freeze in March 2020 and emphasizes prioritizing high-conviction capital over FOMO-driven term sheets.40:21–43:56 · Siddhartha pushing back 5/10 Venture Round Progression and Cap Table Depth Siddhartha probes how founders should manage pro-rata rights when attempting to bring in fresh capital. Amrit presents a contrarian viewpoint, arguing founders should actively encourage insider concentration because insider double-downs provide the strongest market signal.

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

0:00 · Siddhartha 14.3% · guest 85.7%0:00 · Siddhartha 14.3% · guest 85.7%3:00 · Siddhartha 10.4% · guest 89.6%3:00 · Siddhartha 10.4% · guest 89.6%6:00 · Siddhartha 15% · guest 85%6:00 · Siddhartha 15% · guest 85%9:00 · Siddhartha 12% · guest 88%9:00 · Siddhartha 12% · guest 88%12:00 · Siddhartha 5.3% · guest 94.7%12:00 · Siddhartha 5.3% · guest 94.7%15:00 · Siddhartha 11.3% · guest 88.7%15:00 · Siddhartha 11.3% · guest 88.7%18:00 · Siddhartha 13.7% · guest 86.3%18:00 · Siddhartha 13.7% · guest 86.3%21:00 · Siddhartha 16.6% · guest 83.4%21:00 · Siddhartha 16.6% · guest 83.4%24:00 · Siddhartha 16.4% · guest 83.6%24:00 · Siddhartha 16.4% · guest 83.6%27:00 · Siddhartha 8.8% · guest 91.2%27:00 · Siddhartha 8.8% · guest 91.2%30:00 · Siddhartha 3.7% · guest 96.3%30:00 · Siddhartha 3.7% · guest 96.3%33:00 · Siddhartha 8.4% · guest 91.6%33:00 · Siddhartha 8.4% · guest 91.6%36:00 · Siddhartha 8.8% · guest 91.2%36:00 · Siddhartha 8.8% · guest 91.2%39:00 · Siddhartha 18.2% · guest 81.8%39:00 · Siddhartha 18.2% · guest 81.8%42:00 · Siddhartha 37% · guest 63%42:00 · Siddhartha 37% · guest 63%
Sharpest disagreement ▶ 6:55 Correcting revenue versus GMV calculation

Amrit firmly steps in to reject Siddhartha's revenue-to-GMV estimation, clarifying the core accounting mechanics of a managed marketplace.

Hardest push from Siddhartha ▶ 21:55 Pressing on bespoke service limitations

Siddhartha directly challenges Zetwerk's scalability, asserting that handling unique bespoke orders makes the company an execution-heavy service provider rather than a product platform.

Biggest teaching moment ▶ 24:18 Educating on the lack of a national manufacturing catalog

Amrit breaks down how fragmented small manufacturers are unaware of their own cross-industry machine capabilities, explaining how Zetwerk creates the proprietary mapping layer from scratch.

Siddhartha holds their own ▶ 42:10 Drilling into cap table dilution and pro-rata dynamics

Siddhartha demonstrates venture expertise by questioning how fast-scaling founders handle legal pro-rata rights against incoming investors seeking ownership.

the scores for every segment, with the reasoning behind each
ChapterTopicSiddhartha as informed peerGuest teachingGuest disagreementSiddhartha pushing backWhy
Revenue Milestones, Scale, and Product Diversity 4312 Siddhartha asks focused baseline questions about revenue milestones, supplier count, and whether Zetwerk operates asset-light or owns factories. Amrit provides a detailed breakdown of Zetwerk's 900 crore revenue run-rate and horizontal industrial reach.
Revenue Model and the Transition to Managed Marketplace 4623 When Siddhartha attempts to calculate GMV by applying marketplace take rates to revenue, Amrit clarifies that for a managed marketplace, GMV equals revenue because Zetwerk acts as the principal master supplier to the enterprise.
Pivoting from SaaS to Pure Marketplace to Managed Marketplace 3411 Siddhartha asks about the timing of the business model pivots. Amrit delivers an insightful chronological narrative on moving from SaaS to pure marketplace to full-stack managed manufacturing after confronting enterprise sales cycles and quality liabilities.
De-Risking Manufacturing Through Parallel Production and Technology 5524 Siddhartha presses on how quality and consistency are maintained when an order is fragmented across five different suppliers. Amrit explains the concept of parallel manufacturing and how distributed capacity de-risks delivery delays.
Capturing International Demand Amid Global Supply Chain Shifts 3411 Siddhartha inquires about global market penetration. Amrit explains how Western macro headwinds and the China+1 strategy catalyzed unexpected US inbound demand.
Market Depth and the Golden Age of Indian Manufacturing 4523 Siddhartha queries whether Zetwerk can scale to a $100B valuation and how repeat business works for one-off factory builds. Amrit grounds the valuation timeline while outlining structural replacement and capex cycles.
Order Economics, Category Focus, and Selective Execution 6625 Siddhartha challenges the scalability of bespoke manufacturing, noting it acts more like a service business than a product platform. Amrit counters by demonstrating how processes converge into standardized categories and why they reject 80-90% of order volume.
Building the Proprietary Catalog of Indian Manufacturing Capacity 5624 Siddhartha asks why Zetwerk cannot take on all order flow given the vast supply base. Amrit explains that Indian manufacturing capacity is entirely uncatalogued and details the 200+ data points collected to map machine fungibility.
Mental Models for Pivoting and Evaluating Founder-Market Fit 4511 Siddhartha invites Amrit to share mental models on pivoting. Amrit distinguishes between product-market fit and founder-market fit, explaining why enterprise sales cycles conflicted with their team strengths.
Scaling the Organization: Transitioning from 0-to-1 to 1-to-N 3411 Siddhartha asks about organizational models for scaling from 0-to-1 to 1-to-N. Amrit explains transitioning from sales-driven push to culture, decentralization, and executive alignment across 500 employees.
Data-Driven Process Optimization and the Raw Materials Insight 5523 Siddhartha asks how Amrit's McKinsey consulting background influenced company processes. Amrit downplays the consulting connection and highlights a specific empirical finding: 80% of manufacturing delays occur during raw material purchasing.
The Fundraising Journey and Securing High-Conviction Capital 4411 Siddhartha asks for reflections across various fundraising rounds. Amrit recounts navigating the early Covid-19 freeze in March 2020 and emphasizes prioritizing high-conviction capital over FOMO-driven term sheets.
Venture Round Progression and Cap Table Depth 6625 Siddhartha probes how founders should manage pro-rata rights when attempting to bring in fresh capital. Amrit presents a contrarian viewpoint, arguing founders should actively encourage insider concentration because insider double-downs provide the strongest market signal.

Statements from this episode (30)

Disclosure
Acharya: Zetwerk is an asset-light marketplace for small manufacturers
“We do this largely through a asset light marketplace model where we partner with lots of small manufacturers on the supply side. The role we play is three things. One is matchmaking with the right small manufacturer. We solve for pricing. Since these are custo…”
Amrit Acharya Oct 4, 2021 ▶ 1:58
Assertion Supported
Acharya: Zetwerk grew revenue nearly 3x to ~900 crore INR
“So last year we did in the year, we did close to 900 crores of revenue. The prior year we had done close to 300 crores of revenue. So the business grew almost three X in the pandemic year”
Amrit Acharya Oct 4, 2021 ▶ 2:50
Assertion Not checkable as stated
Acharya: Zetwerk transacts with ~3,000 suppliers monthly across ~500 customers
“Today on the sub customer side, we work with close to 500 odd customers on the supply side. As of September, we transact with around 3000 suppliers every month.”
Amrit Acharya Oct 4, 2021 ▶ 2:59
Assertion Not checkable as stated
Acharya: 85% of Zetwerk's business is industrials, 15% consumer products
“85% of our business is industrials. 15% of our business is consumer products.”
Amrit Acharya Oct 4, 2021 ▶ 3:37
Disclosure
Acharya: Zetwerk operates just two factories for tactical reasons
“No, we haven't done that yet. We have done it at a very tactical level. So we do operate like one or two factories for various tactical reasons, but as a business model, you know, our thesis is there's a lot of depth in Indian manufacturing.”
Amrit Acharya Oct 4, 2021 ▶ 4:16
Assertion Partly supported
Acharya: Zetwerk is EBITDA positive and generating cash
“Two months back we announced that we are EBITDA positive as well. So we started generating cash from the business.”
Amrit Acharya Oct 4, 2021 ▶ 6:24
Disclosure
Acharya: Zetwerk recognizes GMV as revenue as a managed marketplace
“In our case GMV is equal to revenue just to clarify, because the way, way we operate the business is we, to the customer, we are, That's why we call ourselves a managed marketplace. So to the customer, we are their point of contact. We are the, we are their ma…”
Amrit Acharya Oct 4, 2021 ▶ 6:55
Assertion Not checkable as stated
Acharya: Zetwerk scaled from 1 to 10 crores monthly in six months
“The business had scaled From one crore a month to like 10 crores a month in barely six months.”
Amrit Acharya Oct 4, 2021 ▶ 10:11
Insight
Acharya: Contract manufacturing delivery estimates are typically off by 2x to 3x
“Like what happens in, in manufacturing is you get an estimate and your estimates are off by almost two X, three X.”
Amrit Acharya Oct 4, 2021 ▶ 11:31
Insight
Acharya: Distributing orders across suppliers eliminates delivery time risks
“Working with six suppliers, 10 suppliers, actually de-risk time by six x, 10 x, because one out of six may fail, but very rarely six out of six will fail.”
Amrit Acharya Oct 4, 2021 ▶ 12:37
Assertion Not checkable as stated
Acharya: US-China trade war raised manufacturing costs 30%
“Second was this whole trade war going on between like US and China, where the cost of manufacturing overnight have shot up to about 30%.”
Amrit Acharya Oct 4, 2021 ▶ 15:00
Disclosure
Zetwerk: 20% of revenue comes from international markets
“Today, almost 20% of our revenue comes from international markets, largely, largely US focused.”
Amrit Acharya Oct 4, 2021 ▶ 15:10
Prediction Didn’t hold up
Acharya: Zetwerk on track to hit $1B revenue within six months
“I think what we can say that, you know, we are very much on track to cross the billion dollars of revenue. Maybe in the next six months.”
Amrit Acharya Oct 4, 2021 ▶ 17:26
Prediction Didn’t hold up
Acharya: Zetwerk has runway to reach $10B revenue in five years
“I see us having a pretty strong runway to even ten billion dollars of revenue in the kind of next, you know, five, five years, kind of time, time horizon.”
Amrit Acharya Oct 4, 2021 ▶ 17:34
Disclosure
Acharya: Zetwerk's business is mostly one-off purchases per site
“Bulk of what we do is what we call one-off purchase. structurally the same product that same customer may not need, or the same customer may need the same product in a different geography. So what happens is repeat for us is at a customer level for the same…”
Amrit Acharya Oct 4, 2021 ▶ 19:03
Assertion Not checkable as stated
Acharya: India built very little new infrastructure over the past decade
“In fact, if you look at the last 10 years of India, there's been very little new infrastructure has come up. Most of what we do is some form of replacement of something that is already broken, or they want to upgrade you know, to meet the latest pollution nor…”
Amrit Acharya Oct 4, 2021 ▶ 19:38
Assertion Not checkable as stated
Acharya: US consumer companies are migrating manufacturing from China to India
“A lot of consumer companies are moving all of their, there is to, Buy everything from China. They're now starting to make, move their manufacturing to India. US companies, which have previously been from China are now buying from India.”
Amrit Acharya Oct 4, 2021 ▶ 20:18
Assertion Not checkable as stated
Acharya: Zetwerk's largest single order has reached $20M to $30M
“The largest order we have got would be in the 20 to thirty million dollar range. Single largest order.”
Amrit Acharya Oct 4, 2021 ▶ 21:26
Assertion Not checkable as stated
Acharya: Zetwerk turns down 80% to 90% of customer business
“In fact, we turn down 80 to 90% of business that customers want us to do. So, you know we get billions of dollars of designs every month from customers, and we pick very, very little of that.”
Amrit Acharya Oct 4, 2021 ▶ 23:22
Disclosure
Acharya: Zetwerk collects over 200 data points per supplier during onboarding
“So today when we onboard suppliers, we collect 202 free data points per supplier, you know, starting from who they are, what machines they have made before, what, who are their customers.”
Amrit Acharya Oct 4, 2021 ▶ 24:36
Insight
Acharya: Manufacturing capacity is fungible, but suppliers have single-industry bias
“Supply is fairly fungible, but because these people come from that one industry mindset, they have never explored industries outside.”
Amrit Acharya Oct 4, 2021 ▶ 25:03
Assertion Not checkable as stated
Acharya: Zetwerk suppliers see at least 20% average revenue lift
“On, on average, our suppliers see at least a 20% lift in revenue. It may happen in two quarters, it may happen in four quarters, but that's the impact that these guys see.”
Amrit Acharya Oct 4, 2021 ▶ 26:00
Disclosure
Acharya: I conduct one-on-one meetings with 100 Zetwerk employees
“I do one-on-ones with a hundred people in the company.”
Amrit Acharya Oct 4, 2021 ▶ 33:15
Insight
Acharya: 80% of manufacturing delays occur during initial raw material procurement
“One key insight was in any manufacturing step, 80% of the delay happens in step one, which is, you know, has the supplier purchased raw material? And, but once you, once they have bought the raw material, everything else happens fairly quickly because they nee…”
Amrit Acharya Oct 4, 2021 ▶ 35:04
Insight
Acharya: Founders must distinguish high-conviction term sheets from FOMO-driven offers
“As a founder, you should pause and really evaluate whether You know, the conviction that you're getting from the market is a high conviction offer or whether it's a FOMO driven offer. It's important to distinguish the two because in good times, everyone is hap…”
Amrit Acharya Oct 4, 2021 ▶ 39:50
Insight
Acharya: Cap table depth matters when markets freeze and rounds scale
“And we are existing folks stepped up and look you know, if you are looking to raise capital you know, take a take, here's a, here's an offer from us. And the same set of folks actually led our next hundred million round also. So, so it's important to have dept…”
Amrit Acharya Oct 4, 2021 ▶ 41:27
Disclosure
Sequoia, Accel, Lightspeed, and Greenoaks supported Zetwerk during March 2020
“So we have Sequoia, we have Accel, we have Lightspeed, we have Green Oaks you know, the all, all of them, you know, supported the company when it was it was not the easiest decision for, I'm sure for them also.”
Amrit Acharya Oct 4, 2021 ▶ 41:50
Disclosure
Acharya: Zetwerk let Greenoaks and Lightspeed lead its February round
“So if we have had opportunities that our insiders want to lead a round, we have let our insiders raise a round. Like the February down rise was speaking about was led by Greenhooks and Lightspeed US. We had a lot of excellent term sheets.”
Amrit Acharya Oct 4, 2021 ▶ 42:48
Insight
Acharya: Existing investors doubling down provides the highest quality market signal
“But I think it's the highest quality signal if your existing investors are doubling down or tripling down on the same company. When the typical venture model is to have distribution across investments. And if there are folks on your cap table who want to conce…”
Amrit Acharya Oct 4, 2021 ▶ 43:03
Disclosure
Acharya: Zetwerk fights for existing investors to exercise pro rata
“If somebody wants to do their prorata, we will we will fight for those guys to exercise their prorata versus, versus asking them not to do something. And we construct rounds accordingly.”
Amrit Acharya Oct 4, 2021 ▶ 43:42
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