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May 6, 2017 · 20m · top-founders

651: Pipl Indexes 3.5B People, How Contact Data Really Works with Advisor Garth Moulton

Garth Moulton · 10m spoken Nathan Latka · 8m spoken
0:00 / 0:00

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In this episode of The Top, host Nathan Latka interviews Jigsaw co-founder and tech advisor Garth Moulton to explore how Pipl.com indexes billions of identity profiles, runs a profitable bootstrapped enterprise data business, and navigates the competitive B2B contact data market.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Nathan holds 44.1% of the talking time here. How this is scored →

Nathan as informed peer 4.8 Guest teaching 2.8 Guest disagreement 1.0 Nathan pushing back 2.2
05100:0010:0020:000:55–6:11 · Nathan as informed peer 5/10 Episode 651 Overview and Next Episode Preview Nathan introduces Garth Moulton and references Pipl's web metrics and profile numbers directly from public data. Garth explains Pipl's transition from a consumer-facing deep-web search engine to an API data backend provider across three primary industry channels.6:11–11:27 · Nathan as informed peer 7/10 The Dynamics of the Contact Data Industry Nathan demonstrates high industry knowledge by citing typical $500k minimum contract values for LinkedIn data access and comparing the aggregator space to mashed potatoes. Garth validates Nathan's framing while providing insider nuance on data dinosaurs and distribution relationships.11:27–14:13 · Nathan as informed peer 6/10 Pipl's Technical Architecture, Team, and Pricing Nathan drills into the unit economics, per-seat pricing models ($1,200/seat/year), and international team distribution. Garth clarifies how Pipl's metadata indexing architecture differs from legacy data storage models.14:13–16:57 · Nathan as informed peer 4/10 Garth's Role, Advisors, and Equity Incentives Nathan pushes into Garth's compensation structure and cap table involvement to see how bootstrapped companies incentivize senior sales advisors. Garth explains his short-term strategic advisory setup and minor equity grant before traveling abroad.16:58–19:13 · Nathan as informed peer 2/10 The Famous Five Rapid-Fire Questions Nathan runs through the standard Famous Five rapid-fire format. Garth answers amicably and shares life lessons about time allocation in early startup careers.0:55–6:11 · Guest teaching 3/10 Episode 651 Overview and Next Episode Preview Nathan introduces Garth Moulton and references Pipl's web metrics and profile numbers directly from public data. Garth explains Pipl's transition from a consumer-facing deep-web search engine to an API data backend provider across three primary industry channels.6:11–11:27 · Guest teaching 5/10 The Dynamics of the Contact Data Industry Nathan demonstrates high industry knowledge by citing typical $500k minimum contract values for LinkedIn data access and comparing the aggregator space to mashed potatoes. Garth validates Nathan's framing while providing insider nuance on data dinosaurs and distribution relationships.11:27–14:13 · Guest teaching 3/10 Pipl's Technical Architecture, Team, and Pricing Nathan drills into the unit economics, per-seat pricing models ($1,200/seat/year), and international team distribution. Garth clarifies how Pipl's metadata indexing architecture differs from legacy data storage models.14:13–16:57 · Guest teaching 2/10 Garth's Role, Advisors, and Equity Incentives Nathan pushes into Garth's compensation structure and cap table involvement to see how bootstrapped companies incentivize senior sales advisors. Garth explains his short-term strategic advisory setup and minor equity grant before traveling abroad.16:58–19:13 · Guest teaching 1/10 The Famous Five Rapid-Fire Questions Nathan runs through the standard Famous Five rapid-fire format. Garth answers amicably and shares life lessons about time allocation in early startup careers.0:55–6:11 · Guest disagreement 1/10 Episode 651 Overview and Next Episode Preview Nathan introduces Garth Moulton and references Pipl's web metrics and profile numbers directly from public data. Garth explains Pipl's transition from a consumer-facing deep-web search engine to an API data backend provider across three primary industry channels.6:11–11:27 · Guest disagreement 2/10 The Dynamics of the Contact Data Industry Nathan demonstrates high industry knowledge by citing typical $500k minimum contract values for LinkedIn data access and comparing the aggregator space to mashed potatoes. Garth validates Nathan's framing while providing insider nuance on data dinosaurs and distribution relationships.11:27–14:13 · Guest disagreement 1/10 Pipl's Technical Architecture, Team, and Pricing Nathan drills into the unit economics, per-seat pricing models ($1,200/seat/year), and international team distribution. Garth clarifies how Pipl's metadata indexing architecture differs from legacy data storage models.14:13–16:57 · Guest disagreement 1/10 Garth's Role, Advisors, and Equity Incentives Nathan pushes into Garth's compensation structure and cap table involvement to see how bootstrapped companies incentivize senior sales advisors. Garth explains his short-term strategic advisory setup and minor equity grant before traveling abroad.16:58–19:13 · Guest disagreement 0/10 The Famous Five Rapid-Fire Questions Nathan runs through the standard Famous Five rapid-fire format. Garth answers amicably and shares life lessons about time allocation in early startup careers.0:55–6:11 · Nathan pushing back 2/10 Episode 651 Overview and Next Episode Preview Nathan introduces Garth Moulton and references Pipl's web metrics and profile numbers directly from public data. Garth explains Pipl's transition from a consumer-facing deep-web search engine to an API data backend provider across three primary industry channels.6:11–11:27 · Nathan pushing back 3/10 The Dynamics of the Contact Data Industry Nathan demonstrates high industry knowledge by citing typical $500k minimum contract values for LinkedIn data access and comparing the aggregator space to mashed potatoes. Garth validates Nathan's framing while providing insider nuance on data dinosaurs and distribution relationships.11:27–14:13 · Nathan pushing back 2/10 Pipl's Technical Architecture, Team, and Pricing Nathan drills into the unit economics, per-seat pricing models ($1,200/seat/year), and international team distribution. Garth clarifies how Pipl's metadata indexing architecture differs from legacy data storage models.14:13–16:57 · Nathan pushing back 3/10 Garth's Role, Advisors, and Equity Incentives Nathan pushes into Garth's compensation structure and cap table involvement to see how bootstrapped companies incentivize senior sales advisors. Garth explains his short-term strategic advisory setup and minor equity grant before traveling abroad.16:58–19:13 · Nathan pushing back 1/10 The Famous Five Rapid-Fire Questions Nathan runs through the standard Famous Five rapid-fire format. Garth answers amicably and shares life lessons about time allocation in early startup careers.

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

0:00 · Nathan 71.1% · guest 28.9%0:00 · Nathan 71.1% · guest 28.9%3:00 · Nathan 16.6% · guest 83.4%3:00 · Nathan 16.6% · guest 83.4%6:00 · Nathan 34.7% · guest 65.3%6:00 · Nathan 34.7% · guest 65.3%9:00 · Nathan 28.7% · guest 71.3%9:00 · Nathan 28.7% · guest 71.3%12:00 · Nathan 25.3% · guest 74.7%12:00 · Nathan 25.3% · guest 74.7%15:00 · Nathan 61% · guest 39%15:00 · Nathan 61% · guest 39%18:00 · Nathan 77% · guest 23%18:00 · Nathan 77% · guest 23%
Sharpest disagreement ▶ 11:27 Garth refutes the cloud database framing

Garth politely counters Nathan's premise that Pipl is another opaque aggregator by emphasizing that they index metadata and provide exact source provenance rather than keeping a single database in the sky.

 Hardest push from Nathan ▶ 6:11 Nathan presses on API customer identities

Nathan calls out Garth's diplomatic pause when asked directly if major competitors like FullContact and Clearbit pay Pipl for API access.

 Biggest teaching moment ▶ 9:31 Garth explains data dinosaur economics

Garth provides deep operational insight into why legacy data companies succeed despite poor data quality, noting they primarily own the revenue and distribution channels rather than superior data.

 Nathan holds their own ▶ 7:43 Nathan cites LinkedIn data pricing benchmarks

Nathan demonstrates strong insider domain expertise by disclosing the $500k annual minimum contract floor and widespread cease-and-desist actions across B2B data vendors.
the scores for every segment, with the reasoning behind each
ChapterTopicNathan as informed peerGuest teachingGuest disagreementNathan pushing backWhy
Episode 651 Overview and Next Episode Preview 5312 Nathan introduces Garth Moulton and references Pipl's web metrics and profile numbers directly from public data. Garth explains Pipl's transition from a consumer-facing deep-web search engine to an API data backend provider across three primary industry channels.
The Dynamics of the Contact Data Industry 7523 Nathan demonstrates high industry knowledge by citing typical $500k minimum contract values for LinkedIn data access and comparing the aggregator space to mashed potatoes. Garth validates Nathan's framing while providing insider nuance on data dinosaurs and distribution relationships.
Pipl's Technical Architecture, Team, and Pricing 6312 Nathan drills into the unit economics, per-seat pricing models ($1,200/seat/year), and international team distribution. Garth clarifies how Pipl's metadata indexing architecture differs from legacy data storage models.
Garth's Role, Advisors, and Equity Incentives 4213 Nathan pushes into Garth's compensation structure and cap table involvement to see how bootstrapped companies incentivize senior sales advisors. Garth explains his short-term strategic advisory setup and minor equity grant before traveling abroad.
The Famous Five Rapid-Fire Questions 2101 Nathan runs through the standard Famous Five rapid-fire format. Garth answers amicably and shares life lessons about time allocation in early startup careers.

Statements from this episode (6)

Assertion Not checkable as stated
Pipl's Public Search Engine Gets 10 Million Monthly Unique Visitors
“The site actually, the public site, the public search engine still does ten million uniques a month worldwide.”
Garth Moulton May 6, 2017 ▶ 3:16
Assertion Not checkable as stated
Every B2B Lead Gen and CRM Company Relies on LinkedIn Data
“Every company that's in B to B lead generation, data acquisition CRM, marketing automation, all have a relationship to that LinkedIn data.”
Garth Moulton May 6, 2017 ▶ 7:17
Assertion Not checkable as stated
LinkedIn Sent Simultaneous Cease-and-Desists to Multiple Data Startup CEOs
“There are many CEOs that I'm very close with just through the show that contacted me several days ago that said they all around the same time, you know, got cease and desist letters from LinkedIn, you know, them just trying to protect their data.”
Nathan Latka May 6, 2017 ▶ 8:52
Insight
Legacy Data Companies Survive on Distribution, Not Data Accuracy
“What these data companies own is the relationship to the revenue. And so, you know, people make the point, you know, we used to call them data dinosaurs, you know, the companies that have been in business for a long time and have aggregated a lot of data, you …”
Garth Moulton May 6, 2017 ▶ 10:19
Disclosure
Pipl Charges $1,200 Per Seat Annually for Enterprise Search
“It's sort of unlimited, unlimited searches for 1200 bucks a year per person.”
Garth Moulton May 6, 2017 ▶ 13:16
Insight
Bootstrapping Prevents Short-Sighted Enterprise Deals Driven by Sales Quotas
“It's not as though we don't have sales goals and but we don't have to do Short-sighted, stupid things with big customers, you know, because we're trying to hit a number for the day or the month or the week or the quarter or whatever.”
Garth Moulton May 6, 2017 ▶ 14:22
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