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Nov 13, 2019 · 23m · top-founders

1572 How This CEO Plans to be IPO Ready in 2 Years

Mohit Lad · 14m spoken Nathan Latka · 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

ThousandEyes co-founder and CEO Mohit Lad discusses how the network intelligence company bootstrapped from government research grants into a high-growth enterprise platform serving Fortune 500 clients. Lad outlines the company's capital-efficient go-to-market structure, superior net retention metrics, and strategic roadmap toward IPO readiness.

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 33.4% of the talking time here. How this is scored →

Nathan as informed peer 6.8 Guest teaching 4.2 Guest disagreement 3.2 Nathan pushing back 4.8
05100:0010:0020:001:00–4:38 · Nathan as informed peer 5/10 Founding ThousandEyes on NSF Grants over Venture Capital Latka demonstrates solid operational context by framing ThousandEyes' internet routing intelligence around concrete conversion rate improvements on e-commerce pricing pages. Mohit collaboratively expands on the technical mechanics of internet path monitoring.4:38–8:25 · Nathan as informed peer 6/10 Organizational Scale, Sales Team Architecture, and Customer Success Latka probes organizational architecture and quota incentive designs across customer success and account executives. Mohit defines the distinction between technical customer success adoption and dedicated renewal management.8:25–12:33 · Nathan as informed peer 7/10 Land-and-Expand Growth Strategy and Cohort Retention Metrics Latka drills into retention benchmarks, distinguishing between gross retention and net revenue retention thresholds. Mohit explains that ThousandEyes measures continuous trailing-twelve-month cohort retention rather than isolated point-in-time snapshots common in IPO filings.12:34–18:29 · Nathan as informed peer 8/10 IPO Readiness Timeline, Fundraising History, and Financial Discipline Latka aggressively calculates ARR estimates and corners Mohit on his bootstrapped NSF grant narrative by citing PitchBook data and sixty million dollars in raised venture capital. Mohit defends his capital efficiency narrative and deflects revenue disclosure requests.18:29–21:50 · Nathan as informed peer 8/10 Debating Customer Acquisition Costs and Unit Economics Latka challenges Mohit's philosophy of trending customer acquisition costs down, arguing that top venture-backed companies deliberately push dollar-based CAC up to aggressively capture market share. Mohit pushes back firmly to defend his unit-economics approach.1:00–4:38 · Guest teaching 3/10 Founding ThousandEyes on NSF Grants over Venture Capital Latka demonstrates solid operational context by framing ThousandEyes' internet routing intelligence around concrete conversion rate improvements on e-commerce pricing pages. Mohit collaboratively expands on the technical mechanics of internet path monitoring.4:38–8:25 · Guest teaching 4/10 Organizational Scale, Sales Team Architecture, and Customer Success Latka probes organizational architecture and quota incentive designs across customer success and account executives. Mohit defines the distinction between technical customer success adoption and dedicated renewal management.8:25–12:33 · Guest teaching 5/10 Land-and-Expand Growth Strategy and Cohort Retention Metrics Latka drills into retention benchmarks, distinguishing between gross retention and net revenue retention thresholds. Mohit explains that ThousandEyes measures continuous trailing-twelve-month cohort retention rather than isolated point-in-time snapshots common in IPO filings.12:34–18:29 · Guest teaching 4/10 IPO Readiness Timeline, Fundraising History, and Financial Discipline Latka aggressively calculates ARR estimates and corners Mohit on his bootstrapped NSF grant narrative by citing PitchBook data and sixty million dollars in raised venture capital. Mohit defends his capital efficiency narrative and deflects revenue disclosure requests.18:29–21:50 · Guest teaching 5/10 Debating Customer Acquisition Costs and Unit Economics Latka challenges Mohit's philosophy of trending customer acquisition costs down, arguing that top venture-backed companies deliberately push dollar-based CAC up to aggressively capture market share. Mohit pushes back firmly to defend his unit-economics approach.1:00–4:38 · Guest disagreement 1/10 Founding ThousandEyes on NSF Grants over Venture Capital Latka demonstrates solid operational context by framing ThousandEyes' internet routing intelligence around concrete conversion rate improvements on e-commerce pricing pages. Mohit collaboratively expands on the technical mechanics of internet path monitoring.4:38–8:25 · Guest disagreement 2/10 Organizational Scale, Sales Team Architecture, and Customer Success Latka probes organizational architecture and quota incentive designs across customer success and account executives. Mohit defines the distinction between technical customer success adoption and dedicated renewal management.8:25–12:33 · Guest disagreement 2/10 Land-and-Expand Growth Strategy and Cohort Retention Metrics Latka drills into retention benchmarks, distinguishing between gross retention and net revenue retention thresholds. Mohit explains that ThousandEyes measures continuous trailing-twelve-month cohort retention rather than isolated point-in-time snapshots common in IPO filings.12:34–18:29 · Guest disagreement 5/10 IPO Readiness Timeline, Fundraising History, and Financial Discipline Latka aggressively calculates ARR estimates and corners Mohit on his bootstrapped NSF grant narrative by citing PitchBook data and sixty million dollars in raised venture capital. Mohit defends his capital efficiency narrative and deflects revenue disclosure requests.18:29–21:50 · Guest disagreement 6/10 Debating Customer Acquisition Costs and Unit Economics Latka challenges Mohit's philosophy of trending customer acquisition costs down, arguing that top venture-backed companies deliberately push dollar-based CAC up to aggressively capture market share. Mohit pushes back firmly to defend his unit-economics approach.1:00–4:38 · Nathan pushing back 1/10 Founding ThousandEyes on NSF Grants over Venture Capital Latka demonstrates solid operational context by framing ThousandEyes' internet routing intelligence around concrete conversion rate improvements on e-commerce pricing pages. Mohit collaboratively expands on the technical mechanics of internet path monitoring.4:38–8:25 · Nathan pushing back 3/10 Organizational Scale, Sales Team Architecture, and Customer Success Latka probes organizational architecture and quota incentive designs across customer success and account executives. Mohit defines the distinction between technical customer success adoption and dedicated renewal management.8:25–12:33 · Nathan pushing back 4/10 Land-and-Expand Growth Strategy and Cohort Retention Metrics Latka drills into retention benchmarks, distinguishing between gross retention and net revenue retention thresholds. Mohit explains that ThousandEyes measures continuous trailing-twelve-month cohort retention rather than isolated point-in-time snapshots common in IPO filings.12:34–18:29 · Nathan pushing back 8/10 IPO Readiness Timeline, Fundraising History, and Financial Discipline Latka aggressively calculates ARR estimates and corners Mohit on his bootstrapped NSF grant narrative by citing PitchBook data and sixty million dollars in raised venture capital. Mohit defends his capital efficiency narrative and deflects revenue disclosure requests.18:29–21:50 · Nathan pushing back 8/10 Debating Customer Acquisition Costs and Unit Economics Latka challenges Mohit's philosophy of trending customer acquisition costs down, arguing that top venture-backed companies deliberately push dollar-based CAC up to aggressively capture market share. Mohit pushes back firmly to defend his unit-economics approach.

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

0:00 · Nathan 43% · guest 57%0:00 · Nathan 43% · guest 57%3:00 · Nathan 23.2% · guest 76.8%3:00 · Nathan 23.2% · guest 76.8%6:00 · Nathan 31.4% · guest 68.6%6:00 · Nathan 31.4% · guest 68.6%9:00 · Nathan 22.2% · guest 77.8%9:00 · Nathan 22.2% · guest 77.8%12:00 · Nathan 41.3% · guest 58.7%12:00 · Nathan 41.3% · guest 58.7%15:00 · Nathan 31.3% · guest 68.7%15:00 · Nathan 31.3% · guest 68.7%18:00 · Nathan 34.6% · guest 65.4%18:00 · Nathan 34.6% · guest 65.4%21:00 · Nathan 41.7% · guest 58.3%21:00 · Nathan 41.7% · guest 58.3%
Sharpest disagreement ▶ 21:21 Mohit rejects Latka's LTV deduction

Mohit sharply interrupts Latka's assertion that lowering CAC implies dropping lifetime value, forcefully clarifying his thesis regarding federal and enterprise multi-year contracts.

 Hardest push from Nathan ▶ 17:35 Latka catches Mohit on growth rate deflection

When Mohit refuses to share revenue growth percentages due to being a private company, Latka immediately pushes back by pointing out Mohit already signaled their growth bracket by declaring IPO readiness.

 Biggest teaching moment ▶ 11:40 Mohit breaks down S-1 retention reporting nuances

Mohit educates Latka on how typical S-1 filings leverage point-in-time snapshots to inflate perceived net retention compared to comprehensive trailing twelve-month cohort tracking.

 Nathan holds their own ▶ 19:22 Latka quotes IPO dollar-based CAC benchmarks

Latka demonstrates deep market knowledge by citing recent tech IPO data showing dollar-based CAC expanding from $1.20 to $1.80, challenging Mohit's premise that CAC should always trend downward.
the scores for every segment, with the reasoning behind each
ChapterTopicNathan as informed peerGuest teachingGuest disagreementNathan pushing backWhy
Founding ThousandEyes on NSF Grants over Venture Capital 5311 Latka demonstrates solid operational context by framing ThousandEyes' internet routing intelligence around concrete conversion rate improvements on e-commerce pricing pages. Mohit collaboratively expands on the technical mechanics of internet path monitoring.
Organizational Scale, Sales Team Architecture, and Customer Success 6423 Latka probes organizational architecture and quota incentive designs across customer success and account executives. Mohit defines the distinction between technical customer success adoption and dedicated renewal management.
Land-and-Expand Growth Strategy and Cohort Retention Metrics 7524 Latka drills into retention benchmarks, distinguishing between gross retention and net revenue retention thresholds. Mohit explains that ThousandEyes measures continuous trailing-twelve-month cohort retention rather than isolated point-in-time snapshots common in IPO filings.
IPO Readiness Timeline, Fundraising History, and Financial Discipline 8458 Latka aggressively calculates ARR estimates and corners Mohit on his bootstrapped NSF grant narrative by citing PitchBook data and sixty million dollars in raised venture capital. Mohit defends his capital efficiency narrative and deflects revenue disclosure requests.
Debating Customer Acquisition Costs and Unit Economics 8568 Latka challenges Mohit's philosophy of trending customer acquisition costs down, arguing that top venture-backed companies deliberately push dollar-based CAC up to aggressively capture market share. Mohit pushes back firmly to defend his unit-economics approach.

Statements from this episode (11)

Disclosure
ThousandEyes received $1 million in NSF grants over two years
“So that grant over a period of time over the next two years totaled about a million dollars”
Mohit Lad Nov 13, 2019 ▶ 1:19
Assertion Not checkable as stated
ThousandEyes enterprise ACVs range from $100,000 to several million dollars
“We have a ton of customers that are anywhere from the hundred K range to a few million dollars in annual spends.”
Mohit Lad Nov 13, 2019 ▶ 4:51
Assertion Supported
ThousandEyes approaches 250 employees across six global offices
“We're about to closing to two 50 employees now and we're headquartered in San Francisco offices in Austin. London, New York Japan as well, and growing at a fast pace, including a recent office in Dublin.”
Mohit Lad Nov 13, 2019 ▶ 5:28
Assertion Not checkable as stated
ThousandEyes employs 70 to 100 people in its sales organization
“I would say the sales team at this point, if I combine everybody on the sales side, including STRs and so on, would be somewhere in the 70 to a hundred range.”
Mohit Lad Nov 13, 2019 ▶ 6:11
Insight
Direct sales should not abandon customers just to chase new dollars
“And this is something that I think entrepreneurs should realize is you want to create some division of responsibility. So the account management can own the renewals. But you never want the sales team to be only focused on new dollars and forget the customer.”
Mohit Lad Nov 13, 2019 ▶ 8:01
Disclosure
All multimillion-dollar ThousandEyes accounts started with $50,000 to $100,000 contracts
“The customers that are spending multimillion dollars with us, they all started in the 50 to a hundred K range.”
Mohit Lad Nov 13, 2019 ▶ 9:23
Assertion Not checkable as stated
ThousandEyes serves eight of the top ten banks and 60 Fortune 500s
“So we have eight of the top 10 banks. We have 60 plus fortune 500. We have about a 110 global 2000.”
Mohit Lad Nov 13, 2019 ▶ 10:09
Disclosure
Mohit Lad aimed for ThousandEyes to be IPO-ready by 2022
“I will tell you this, that we're looking at a two, I guess two and two, two, two and a half year horizon to be IPO ready.”
Mohit Lad Nov 13, 2019 ▶ 12:39
Assertion Contradicted
ThousandEyes scaled toward an IPO without raising capital since December 2015
“And what I want to point out, for example, is our last raise was in December, 2015, and we haven't raised since then.”
Mohit Lad Nov 13, 2019 ▶ 15:20
Assertion Contradicted
ThousandEyes has raised approximately $60 million in total funding
“We raised about 60 till date.”
Mohit Lad Nov 13, 2019 ▶ 16:12
Assertion Not checkable as stated
Recent tech IPOs spent $1.20 to $1.80 per new ARR dollar
“When you look at the last 12 IPOs, a lot of them are in the dollar 20 to dollar 80 range for a new dollar of ARR.”
Nathan Latka Nov 13, 2019 ▶ 19:32
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