Sep 6, 2018 · 48m · y-combinator

Peter Reinhardt on Finding Product Market Fit at Segment · Y Combinator

Peter Reinhardt · 32m spoken Craig Cannon · 9m 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 podcast episode, Segment CEO and co-founder Peter Reinhardt shares the journey of building Segment, from failing with multiple early startup ideas to discovering explosive product-market fit. He details crucial lessons on B2B customer discovery, pricing strategies, maintaining team dynamics, and scaling execution through executive leadership.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. How this is scored →

The partners as informed peer 3.5 Guest teaching 6.3 Guest disagreement 1.9 The partners pushing back 1.3
05100:0015:0030:0045:000:00–2:15 · The partners as informed peer 4/10 Explaining Segment's Core Product and Customer Experience Mission Craig introduces Segment and prompts Peter to explain the core value proposition. Peter details how Segment replaces messy internal data pipelines with unified customer profiles across channels.2:15–4:51 · The partners as informed peer 3/10 The Accidental Transition from Open Source to Hosted Service Craig inquires about the open-source origins of Segment. Peter explains how deploying open-source analytics libraries proved impractical for non-technical users, leading accidentally to a hosted business model.4:51–7:35 · The partners as informed peer 3/10 Returning Capital to Investors and the Pivot to Web Analytics Peter recounts failing with classroom lecture tool Classroom Stream when students browsed Facebook instead of using the app. He describes offering refunds to angel investors and pivoting to build a standalone analytics product.7:35–12:14 · The partners as informed peer 4/10 Paul Graham's Wake-Up Call and the Creation of Analytics.js Peter shares the blunt wake-up call from Paul Graham about burning half a million dollars without traction. He narrates how he resisted his co-founder's idea to commercialize Analytics.js until a test landing page went viral on Hacker News.12:14–15:31 · The partners as informed peer 4/10 Defining True Product-Market Fit versus User Feedback Spirals Peter clarifies true product-market fit versus the trap of the user feedback death spiral. He also details discovering a secondary PMF opportunity around Redshift data warehouse connectors.15:31–19:08 · The partners as informed peer 4/10 Developer Go-to-Market Strategy and Core Technical Architecture Craig plays devil's advocate regarding whether founders launch MVPs too early with unpolished messaging. Peter firmly rejects this framing, calling it an excuse founders use to avoid market reality.19:08–21:09 · The partners as informed peer 3/10 Cautionary Tales: Iterative PMF and Abusing the Airbnb Story Peter warns against misapplying Airbnb's slow iterative story to justify lingering on bad ideas. He emphasizes having in-house skeptics who insist on fast, falsifiable tests rather than continuous unvalidated iteration.21:09–25:38 · The partners as informed peer 4/10 Cultivating In-House Skepticism for Product Development Peter outlines how hiring innate skeptics protects product development from wishful thinking. He contrasts qualitative in-person customer discovery with passive landing page tests and introduces the MEDDIC qualification framework.25:38–28:02 · The partners as informed peer 3/10 Product Messaging Optimization versus True Product Demand Craig asks about discovering optimal messaging for product pitch clarity. Peter clarifies that minor messaging tweaks cannot fix a lack of PMF and that copy optimization only matters after demand exists.28:02–32:27 · The partners as informed peer 3/10 Methodology for Validating Secondary Products and Customer Pain Peter describes Segment's rigorous discovery method for testing second-horizon products by drilling deeply into operational workflows and line-item costs before writing code.32:27–36:59 · The partners as informed peer 3/10 Defining and Engineering Segment's Four Core Company Values Peter explains the genesis of Segment's four cultural values (karma, tribe, drive, focus) and how they institutionalized them into performance reviews, hiring, and office acoustics.36:59–39:28 · The partners as informed peer 4/10 Navigating European GDPR Compliance and First-Party Data Peter details how GDPR regulations benefited Segment by crippling third-party data brokers while turning user deletion requests across downstream systems into a core product feature.39:28–41:41 · The partners as informed peer 4/10 Overcoming Pricing Fear and the 150x Contract Negotiation Peter recounts an uncomfortable negotiation where a sales advisor pressured him into raising an annual price pitch from $120 to $120,000, ultimately closing at $18,000 for a 150x lift.41:41–47:24 · The partners as informed peer 3/10 The Strategic Value of Y Combinator and Founder Networks Peter reflects on long-term benefits of the Y Combinator founder network and lessons learned in executive hiring, financial management, and maintaining core product roadmaps against customer custom-dev requests.0:00–2:15 · Guest teaching 5/10 Explaining Segment's Core Product and Customer Experience Mission Craig introduces Segment and prompts Peter to explain the core value proposition. Peter details how Segment replaces messy internal data pipelines with unified customer profiles across channels.2:15–4:51 · Guest teaching 6/10 The Accidental Transition from Open Source to Hosted Service Craig inquires about the open-source origins of Segment. Peter explains how deploying open-source analytics libraries proved impractical for non-technical users, leading accidentally to a hosted business model.4:51–7:35 · Guest teaching 6/10 Returning Capital to Investors and the Pivot to Web Analytics Peter recounts failing with classroom lecture tool Classroom Stream when students browsed Facebook instead of using the app. He describes offering refunds to angel investors and pivoting to build a standalone analytics product.7:35–12:14 · Guest teaching 7/10 Paul Graham's Wake-Up Call and the Creation of Analytics.js Peter shares the blunt wake-up call from Paul Graham about burning half a million dollars without traction. He narrates how he resisted his co-founder's idea to commercialize Analytics.js until a test landing page went viral on Hacker News.12:14–15:31 · Guest teaching 7/10 Defining True Product-Market Fit versus User Feedback Spirals Peter clarifies true product-market fit versus the trap of the user feedback death spiral. He also details discovering a secondary PMF opportunity around Redshift data warehouse connectors.15:31–19:08 · Guest teaching 6/10 Developer Go-to-Market Strategy and Core Technical Architecture Craig plays devil's advocate regarding whether founders launch MVPs too early with unpolished messaging. Peter firmly rejects this framing, calling it an excuse founders use to avoid market reality.19:08–21:09 · Guest teaching 7/10 Cautionary Tales: Iterative PMF and Abusing the Airbnb Story Peter warns against misapplying Airbnb's slow iterative story to justify lingering on bad ideas. He emphasizes having in-house skeptics who insist on fast, falsifiable tests rather than continuous unvalidated iteration.21:09–25:38 · Guest teaching 7/10 Cultivating In-House Skepticism for Product Development Peter outlines how hiring innate skeptics protects product development from wishful thinking. He contrasts qualitative in-person customer discovery with passive landing page tests and introduces the MEDDIC qualification framework.25:38–28:02 · Guest teaching 5/10 Product Messaging Optimization versus True Product Demand Craig asks about discovering optimal messaging for product pitch clarity. Peter clarifies that minor messaging tweaks cannot fix a lack of PMF and that copy optimization only matters after demand exists.28:02–32:27 · Guest teaching 7/10 Methodology for Validating Secondary Products and Customer Pain Peter describes Segment's rigorous discovery method for testing second-horizon products by drilling deeply into operational workflows and line-item costs before writing code.32:27–36:59 · Guest teaching 6/10 Defining and Engineering Segment's Four Core Company Values Peter explains the genesis of Segment's four cultural values (karma, tribe, drive, focus) and how they institutionalized them into performance reviews, hiring, and office acoustics.36:59–39:28 · Guest teaching 6/10 Navigating European GDPR Compliance and First-Party Data Peter details how GDPR regulations benefited Segment by crippling third-party data brokers while turning user deletion requests across downstream systems into a core product feature.39:28–41:41 · Guest teaching 7/10 Overcoming Pricing Fear and the 150x Contract Negotiation Peter recounts an uncomfortable negotiation where a sales advisor pressured him into raising an annual price pitch from $120 to $120,000, ultimately closing at $18,000 for a 150x lift.41:41–47:24 · Guest teaching 6/10 The Strategic Value of Y Combinator and Founder Networks Peter reflects on long-term benefits of the Y Combinator founder network and lessons learned in executive hiring, financial management, and maintaining core product roadmaps against customer custom-dev requests.0:00–2:15 · Guest disagreement 1/10 Explaining Segment's Core Product and Customer Experience Mission Craig introduces Segment and prompts Peter to explain the core value proposition. Peter details how Segment replaces messy internal data pipelines with unified customer profiles across channels.2:15–4:51 · Guest disagreement 1/10 The Accidental Transition from Open Source to Hosted Service Craig inquires about the open-source origins of Segment. Peter explains how deploying open-source analytics libraries proved impractical for non-technical users, leading accidentally to a hosted business model.4:51–7:35 · Guest disagreement 2/10 Returning Capital to Investors and the Pivot to Web Analytics Peter recounts failing with classroom lecture tool Classroom Stream when students browsed Facebook instead of using the app. He describes offering refunds to angel investors and pivoting to build a standalone analytics product.7:35–12:14 · Guest disagreement 3/10 Paul Graham's Wake-Up Call and the Creation of Analytics.js Peter shares the blunt wake-up call from Paul Graham about burning half a million dollars without traction. He narrates how he resisted his co-founder's idea to commercialize Analytics.js until a test landing page went viral on Hacker News.12:14–15:31 · Guest disagreement 2/10 Defining True Product-Market Fit versus User Feedback Spirals Peter clarifies true product-market fit versus the trap of the user feedback death spiral. He also details discovering a secondary PMF opportunity around Redshift data warehouse connectors.15:31–19:08 · Guest disagreement 4/10 Developer Go-to-Market Strategy and Core Technical Architecture Craig plays devil's advocate regarding whether founders launch MVPs too early with unpolished messaging. Peter firmly rejects this framing, calling it an excuse founders use to avoid market reality.19:08–21:09 · Guest disagreement 3/10 Cautionary Tales: Iterative PMF and Abusing the Airbnb Story Peter warns against misapplying Airbnb's slow iterative story to justify lingering on bad ideas. He emphasizes having in-house skeptics who insist on fast, falsifiable tests rather than continuous unvalidated iteration.21:09–25:38 · Guest disagreement 2/10 Cultivating In-House Skepticism for Product Development Peter outlines how hiring innate skeptics protects product development from wishful thinking. He contrasts qualitative in-person customer discovery with passive landing page tests and introduces the MEDDIC qualification framework.25:38–28:02 · Guest disagreement 2/10 Product Messaging Optimization versus True Product Demand Craig asks about discovering optimal messaging for product pitch clarity. Peter clarifies that minor messaging tweaks cannot fix a lack of PMF and that copy optimization only matters after demand exists.28:02–32:27 · Guest disagreement 1/10 Methodology for Validating Secondary Products and Customer Pain Peter describes Segment's rigorous discovery method for testing second-horizon products by drilling deeply into operational workflows and line-item costs before writing code.32:27–36:59 · Guest disagreement 1/10 Defining and Engineering Segment's Four Core Company Values Peter explains the genesis of Segment's four cultural values (karma, tribe, drive, focus) and how they institutionalized them into performance reviews, hiring, and office acoustics.36:59–39:28 · Guest disagreement 2/10 Navigating European GDPR Compliance and First-Party Data Peter details how GDPR regulations benefited Segment by crippling third-party data brokers while turning user deletion requests across downstream systems into a core product feature.39:28–41:41 · Guest disagreement 2/10 Overcoming Pricing Fear and the 150x Contract Negotiation Peter recounts an uncomfortable negotiation where a sales advisor pressured him into raising an annual price pitch from $120 to $120,000, ultimately closing at $18,000 for a 150x lift.41:41–47:24 · Guest disagreement 1/10 The Strategic Value of Y Combinator and Founder Networks Peter reflects on long-term benefits of the Y Combinator founder network and lessons learned in executive hiring, financial management, and maintaining core product roadmaps against customer custom-dev requests.0:00–2:15 · The partners pushing back 2/10 Explaining Segment's Core Product and Customer Experience Mission Craig introduces Segment and prompts Peter to explain the core value proposition. Peter details how Segment replaces messy internal data pipelines with unified customer profiles across channels.2:15–4:51 · The partners pushing back 1/10 The Accidental Transition from Open Source to Hosted Service Craig inquires about the open-source origins of Segment. Peter explains how deploying open-source analytics libraries proved impractical for non-technical users, leading accidentally to a hosted business model.4:51–7:35 · The partners pushing back 1/10 Returning Capital to Investors and the Pivot to Web Analytics Peter recounts failing with classroom lecture tool Classroom Stream when students browsed Facebook instead of using the app. He describes offering refunds to angel investors and pivoting to build a standalone analytics product.7:35–12:14 · The partners pushing back 1/10 Paul Graham's Wake-Up Call and the Creation of Analytics.js Peter shares the blunt wake-up call from Paul Graham about burning half a million dollars without traction. He narrates how he resisted his co-founder's idea to commercialize Analytics.js until a test landing page went viral on Hacker News.12:14–15:31 · The partners pushing back 2/10 Defining True Product-Market Fit versus User Feedback Spirals Peter clarifies true product-market fit versus the trap of the user feedback death spiral. He also details discovering a secondary PMF opportunity around Redshift data warehouse connectors.15:31–19:08 · The partners pushing back 3/10 Developer Go-to-Market Strategy and Core Technical Architecture Craig plays devil's advocate regarding whether founders launch MVPs too early with unpolished messaging. Peter firmly rejects this framing, calling it an excuse founders use to avoid market reality.19:08–21:09 · The partners pushing back 1/10 Cautionary Tales: Iterative PMF and Abusing the Airbnb Story Peter warns against misapplying Airbnb's slow iterative story to justify lingering on bad ideas. He emphasizes having in-house skeptics who insist on fast, falsifiable tests rather than continuous unvalidated iteration.21:09–25:38 · The partners pushing back 1/10 Cultivating In-House Skepticism for Product Development Peter outlines how hiring innate skeptics protects product development from wishful thinking. He contrasts qualitative in-person customer discovery with passive landing page tests and introduces the MEDDIC qualification framework.25:38–28:02 · The partners pushing back 1/10 Product Messaging Optimization versus True Product Demand Craig asks about discovering optimal messaging for product pitch clarity. Peter clarifies that minor messaging tweaks cannot fix a lack of PMF and that copy optimization only matters after demand exists.28:02–32:27 · The partners pushing back 1/10 Methodology for Validating Secondary Products and Customer Pain Peter describes Segment's rigorous discovery method for testing second-horizon products by drilling deeply into operational workflows and line-item costs before writing code.32:27–36:59 · The partners pushing back 1/10 Defining and Engineering Segment's Four Core Company Values Peter explains the genesis of Segment's four cultural values (karma, tribe, drive, focus) and how they institutionalized them into performance reviews, hiring, and office acoustics.36:59–39:28 · The partners pushing back 1/10 Navigating European GDPR Compliance and First-Party Data Peter details how GDPR regulations benefited Segment by crippling third-party data brokers while turning user deletion requests across downstream systems into a core product feature.39:28–41:41 · The partners pushing back 1/10 Overcoming Pricing Fear and the 150x Contract Negotiation Peter recounts an uncomfortable negotiation where a sales advisor pressured him into raising an annual price pitch from $120 to $120,000, ultimately closing at $18,000 for a 150x lift.41:41–47:24 · The partners pushing back 1/10 The Strategic Value of Y Combinator and Founder Networks Peter reflects on long-term benefits of the Y Combinator founder network and lessons learned in executive hiring, financial management, and maintaining core product roadmaps against customer custom-dev requests.

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

0:00 · the partners 0% · guest 100%0:00 · the partners 0% · guest 100%3:00 · the partners 0% · guest 100%3:00 · the partners 0% · guest 100%6:00 · the partners 0% · guest 100%6:00 · the partners 0% · guest 100%9:00 · the partners 0% · guest 100%9:00 · the partners 0% · guest 100%12:00 · the partners 0% · guest 100%12:00 · the partners 0% · guest 100%15:00 · the partners 0% · guest 100%15:00 · the partners 0% · guest 100%18:00 · the partners 0% · guest 100%18:00 · the partners 0% · guest 100%21:00 · the partners 0% · guest 100%21:00 · the partners 0% · guest 100%24:00 · the partners 0% · guest 100%24:00 · the partners 0% · guest 100%27:00 · the partners 0% · guest 100%27:00 · the partners 0% · guest 100%30:00 · the partners 0% · guest 100%30:00 · the partners 0% · guest 100%33:00 · the partners 0% · guest 100%33:00 · the partners 0% · guest 100%36:00 · the partners 0% · guest 100%36:00 · the partners 0% · guest 100%39:00 · the partners 0% · guest 100%39:00 · the partners 0% · guest 100%42:00 · the partners 0% · guest 100%42:00 · the partners 0% · guest 100%45:00 · the partners 0% · guest 100%45:00 · the partners 0% · guest 100%48:00 · the partners 0% · guest 100%48:00 · the partners 0% · guest 100%
Sharpest disagreement ▶ 18:08 Directly dismissing early launch hesitation as an excuse

Peter rejects Craig's devil's advocate scenario, asserting that fearing an unpolished launch is simply an excuse founders use to avoid market tests.

Hardest push from the partners ▶ 17:40 Pushing back on early testing risks

Craig challenges the universal advice to launch early, pointing out that poorly communicated products might fail to produce actionable signal.

Biggest teaching moment ▶ 12:36 Deconstructing the user feedback death spiral

Peter educates listeners and the host on how polite non-users trap founders in endless feature modifications without ever achieving genuine adoption.

The partners hold their own ▶ 0:45 Summarizing the core enterprise data challenge

Craig articulates the systemic engineering bottleneck companies face when maintaining ad-hoc, in-house data integrations.

the scores for every segment, with the reasoning behind each
ChapterTopicThe partners as informed peerGuest teachingGuest disagreementThe partners pushing backWhy
Explaining Segment's Core Product and Customer Experience Mission 4512 Craig introduces Segment and prompts Peter to explain the core value proposition. Peter details how Segment replaces messy internal data pipelines with unified customer profiles across channels.
The Accidental Transition from Open Source to Hosted Service 3611 Craig inquires about the open-source origins of Segment. Peter explains how deploying open-source analytics libraries proved impractical for non-technical users, leading accidentally to a hosted business model.
Returning Capital to Investors and the Pivot to Web Analytics 3621 Peter recounts failing with classroom lecture tool Classroom Stream when students browsed Facebook instead of using the app. He describes offering refunds to angel investors and pivoting to build a standalone analytics product.
Paul Graham's Wake-Up Call and the Creation of Analytics.js 4731 Peter shares the blunt wake-up call from Paul Graham about burning half a million dollars without traction. He narrates how he resisted his co-founder's idea to commercialize Analytics.js until a test landing page went viral on Hacker News.
Defining True Product-Market Fit versus User Feedback Spirals 4722 Peter clarifies true product-market fit versus the trap of the user feedback death spiral. He also details discovering a secondary PMF opportunity around Redshift data warehouse connectors.
Developer Go-to-Market Strategy and Core Technical Architecture 4643 Craig plays devil's advocate regarding whether founders launch MVPs too early with unpolished messaging. Peter firmly rejects this framing, calling it an excuse founders use to avoid market reality.
Cautionary Tales: Iterative PMF and Abusing the Airbnb Story 3731 Peter warns against misapplying Airbnb's slow iterative story to justify lingering on bad ideas. He emphasizes having in-house skeptics who insist on fast, falsifiable tests rather than continuous unvalidated iteration.
Cultivating In-House Skepticism for Product Development 4721 Peter outlines how hiring innate skeptics protects product development from wishful thinking. He contrasts qualitative in-person customer discovery with passive landing page tests and introduces the MEDDIC qualification framework.
Product Messaging Optimization versus True Product Demand 3521 Craig asks about discovering optimal messaging for product pitch clarity. Peter clarifies that minor messaging tweaks cannot fix a lack of PMF and that copy optimization only matters after demand exists.
Methodology for Validating Secondary Products and Customer Pain 3711 Peter describes Segment's rigorous discovery method for testing second-horizon products by drilling deeply into operational workflows and line-item costs before writing code.
Defining and Engineering Segment's Four Core Company Values 3611 Peter explains the genesis of Segment's four cultural values (karma, tribe, drive, focus) and how they institutionalized them into performance reviews, hiring, and office acoustics.
Navigating European GDPR Compliance and First-Party Data 4621 Peter details how GDPR regulations benefited Segment by crippling third-party data brokers while turning user deletion requests across downstream systems into a core product feature.
Overcoming Pricing Fear and the 150x Contract Negotiation 4721 Peter recounts an uncomfortable negotiation where a sales advisor pressured him into raising an annual price pitch from $120 to $120,000, ultimately closing at $18,000 for a 150x lift.
The Strategic Value of Y Combinator and Founder Networks 3611 Peter reflects on long-term benefits of the Y Combinator founder network and lessons learned in executive hiring, financial management, and maintaining core product roadmaps against customer custom-dev requests.

Statements from this episode (35)

Disclosure
Segment organizes internal customer interaction data to improve customer experience
“Segment helps companies give their customers a better customer experience, and we do that by helping them organize all of their internal data about all their interactions with the customer.”
Peter Reinhardt Sep 6, 2018 ▶ 0:06
Insight
Reinhardt: Traditional CRMs are inadequate for modern digital customer interactions
“But now the world is moving much more to a Warby Parker kind of world where you're not interacting with a person. So a CRM doesn't even make sense. It's like not the right technology for understanding what interactions you're having with the customer, and inst…”
Peter Reinhardt Sep 6, 2018 ▶ 1:18
Assertion Supported
Segment launched as an open-source library on Hacker News to viral success
“At the very beginning, we actually launched as an open source library on Hacker News. And it took off there, blew up basically overnight.”
Peter Reinhardt Sep 6, 2018 ▶ 1:37
Assertion Not checkable as stated
Reinhardt: Almost no one actually uses Segment's open-source version
“So almost no one actually uses the open source version.”
Peter Reinhardt Sep 6, 2018 ▶ 2:53
Disclosure
Segment raised $600K at YC Demo Day for a failed classroom tool
“We were actually even raised money at demo day with this idea about 600 K.”
Peter Reinhardt Sep 6, 2018 ▶ 4:09
Assertion Not checkable as stated
Reinhardt: 80% of students ignored Segment's first product to browse Facebook
“And we discovered at the beginning of class, about 60% of students were on Facebook and by the end about 80% were on Facebook.”
Peter Reinhardt Sep 6, 2018 ▶ 4:29
Assertion Not checkable as stated
Reinhardt: Investors refused Segment's offer to return $600K in seed funding
“Well, we had just gotten wires for these checks, for this money, like literally a week before, right? So we called back all the investors, And we were like, well, it turns out this is a terrible idea. So what do you want us to do with the money? And almost all…”
Peter Reinhardt Sep 6, 2018 ▶ 5:48
Assertion Not checkable as stated
Segment spent a year building a web analytics tool without getting customers
“We spent about a year building the infrastructure necessary to do the analytics and really we're not succeeding in getting any customers during that time frame.”
Peter Reinhardt Sep 6, 2018 ▶ 6:44
Opinion
Segment co-founder Ian Storm Taylor predicted a massive business behind Analytics.js
“I think there's a big business behind Analytics.js, which is this routing library.”
Peter Reinhardt Sep 6, 2018 ▶ 10:26
Opinion
Reinhardt thought building a business on Analytics.js was his co-founder's worst idea
“And I was like, that is literally the worst idea I've ever heard. Like, it's 500 lines of code. You've grown a little bit. It's 500 lines of code and it's already open source. I have no idea how you build a business around that.”
Peter Reinhardt Sep 6, 2018 ▶ 10:33
Insight
Reinhardt: Experiencing genuine product-market fit feels like you are losing control
“And it feels very much like losing control, right? Like, Previously, you're like building a thing, and you roll it out, you're building a thing, and you're pushing it out, and all of a sudden you like put a thing out there, and people start running away with i…”
Peter Reinhardt Sep 6, 2018 ▶ 11:48
Insight
Reinhardt: Founders enter a death spiral when iterating for inactive users
“I think a lot of founders get caught in this sort of like all the death spiral of user feedback. Where they keep going and showing someone their product and asking them for feedback. They give them, you know, some feedback about how they could make it better, …”
Peter Reinhardt Sep 6, 2018 ▶ 12:48
Assertion Not checkable as stated
Segment's revenue grew from $2.5M to $10M after launching its Redshift connector
“We'd grown revenue from zero to two and a half million in the first year. And then we launched this Redshift connector and the next year went from two and a half to 10.”
Peter Reinhardt Sep 6, 2018 ▶ 15:01
Assertion Not checkable as stated
Segment processed hundreds of thousands of user actions per second in 2018
“I think now we're processing, you know, hundreds of thousands of user actions per second.”
Peter Reinhardt Sep 6, 2018 ▶ 15:53
Assertion Supported
Segment open-sources client SDKs but keeps its core data pipeline proprietary
“Our JavaScript library is open source, our iOS SDK is open source, our Android SDK is open source, so you can sort of collect data from anywhere, and those collection libraries are open source, but the sort of core infrastructure pipeline is, is not.”
Peter Reinhardt Sep 6, 2018 ▶ 16:39
Insight
Reinhardt: Early MVP tests are cheap and always worth running
“Usually that test is so cheap to run that it's worth running even if you decide that it was inconclusive and you should go a step deeper. But I also think that the way you framed it is actually an excuse that a lot of founders use for not doing the cheap early…”
Peter Reinhardt Sep 6, 2018 ▶ 18:09
Insight
Reinhardt: True product-market fit is unmistakable and creates uncontrollable growth
“Frankly, I think the really big product market fit moments for every company are pretty unmistakable. Like, the Dropbox founders have called it stepping on a landmine. I just, I really don't think you can mistake it. It really happens in a way that you lose co…”
Peter Reinhardt Sep 6, 2018 ▶ 18:39
Insight
Reinhardt: Reaching product-market fit through multi-year iterative grinds is extremely rare
“My feeling is that that's extremely rare and that, again, this is a really dangerous place to be because you can stay in this iterative mode for years. And it is unlikely that the iterations are going to get you to a good place. So I remember very clearly earl…”
Peter Reinhardt Sep 6, 2018 ▶ 19:50
Insight
Reinhardt: Startup idea tests designed solely by optimists are invalid
“So in other words, if you have an optimist and a skeptic, and they both agree on what a valid test is, then I think you actually will end up with a good test. But if you have three optimists in a room who all agree on what a good test is, I don't believe that …”
Peter Reinhardt Sep 6, 2018 ▶ 20:57
Insight
Reinhardt: Direct customer conversations teach a thousand times more than landing pages
“When you actually go and talk to a customer, if you have that conversation in the right way, you'll learn a thousand times more from that conversation than you will from than from putting up a landing page.”
Peter Reinhardt Sep 6, 2018 ▶ 23:30
Insight
Reinhardt: Effective enterprise sales require upfront qualification, not flashy product demos
“The way good sales works is you do qualification up front. So you have some method of understanding the customer's problem better than they understand it themselves, and then you do the computation in your head as to whether your product is a fit for their pro…”
Peter Reinhardt Sep 6, 2018 ▶ 24:15
Disclosure
Reinhardt: Segment relies on the MEDDIC sales qualification framework
“The methodology that, that we use at Segment is, is one called Medic, M-E-D-D-I-C. It's literally just a list of sales qualification criteria.”
Peter Reinhardt Sep 6, 2018 ▶ 24:30
Insight
Reinhardt: Minor messaging tweaks will never create product-market fit
“I don't think minor changes that it will make the difference. Now, once you have product market fit, then sure you can optimize the messaging.”
Peter Reinhardt Sep 6, 2018 ▶ 27:49
Insight
Reinhardt: Finding initial product-market fit is not a repeatable process
“The problem with the first product And product market fit is that you can move the product and you can move the market because it's fit between these two things. And so what's unclear and they move in some crazy multidimensional space. And so what's the issue …”
Peter Reinhardt Sep 6, 2018 ▶ 28:27
Insight
Reinhardt: Validating second products is far more repeatable than finding initial fit
“I think that it becomes more repeatable when you are Finding a second product. So at that point, you've mostly locked the market side, right? Because you already have a buyer. You already have a go to market motion. You already have like an area of interest, w…”
Peter Reinhardt Sep 6, 2018 ▶ 29:33
Insight
Reinhardt: Segment's best salespeople relentlessly ask 'why' to the point of discomfort
“The best salespeople at Segment ask why, to the point of uncomfortableness from everyone else on the team, including myself.”
Peter Reinhardt Sep 6, 2018 ▶ 32:22
Prediction Not checkable as stated
Reinhardt predicts that third-party data brokering will eventually die out
“There are plenty of other companies out there that, that do stuff like that. It's gonna go away and die eventually.”
Peter Reinhardt Sep 6, 2018 ▶ 33:57
Insight
Reinhardt: GDPR severely damages third-party data brokers lacking direct user consent
“The biggest impact broadly on the sort of overall ecosystem is it really negatively impacts third-party data and third-party data brokers because they have no real consent path to the user for sharing and buying and selling their data.”
Peter Reinhardt Sep 6, 2018 ▶ 37:38
Assertion Supported
Segment enables automated user data deletion across connected third-party tools
“So it's actually now a feature of segment that we can go to those 20 systems and delete whatever user is requesting it. And clean up that record across all those different systems.”
Peter Reinhardt Sep 6, 2018 ▶ 38:27
Insight
Reinhardt: High pricing quotes rarely offend enterprise customers in live conversations
“I think it's really hard to offend people with price, at least if you're sitting in the same room or on the phone. It's probably Not a good idea to share pricing information via email. If you do that, then it's really easy for them to hang up, but if you're on…”
Peter Reinhardt Sep 6, 2018 ▶ 40:36
Insight
Reinhardt: Anchor pricing aggressively high to discover how enterprise buyers value software
“And in fact, what will happen is when they say that's crazy, then you say, why? And then they'll explain to you how they actually value the product, and then you say, okay. And then you value it according to their logic, and you ask for that price.”
Peter Reinhardt Sep 6, 2018 ▶ 41:14
Assertion Not checkable as stated
Segment closed a six-figure annual contract within its first dozen customers
“A dozen at most.”
Peter Reinhardt Sep 6, 2018 ▶ 41:38
Insight
Reinhardt: Evaluate customer feature requests strictly against your long-term product vision
“The best defense against that is having a clear product vision for where your product is going to go long term. And if you have a clear product vision for where it's going long term, it's a very simple question of, is this thing in that picture long term or no…”
Peter Reinhardt Sep 6, 2018 ▶ 43:46
Disclosure
Segment hired a part-time CFO around its $15M Series A
“So we hired a part-time CFO around the time that raised our series A. So we were about, at about a million in revenue and we raised a fifteen million dollar series A.”
Peter Reinhardt Sep 6, 2018 ▶ 45:24
Insight
Reinhardt: Waiting until $10M in revenue to hire experienced executives is disastrous
“So we went from literally zero management experience, aside from what had been picked up along the way, growing from zero to 50 people, to having someone who really knew it, or two people who really knew what they were doing. That was hugely impactful, and we …”
Peter Reinhardt Sep 6, 2018 ▶ 47:07
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 300 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.