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Nov 3, 2020 · 18m · top-founders

Raffle.ai Raises $3.4m for Customer Support Automation, 7 Enterprise Customers $35k ACV's

Nathan Latka · 7m spoken Suzanne Lauritzen · 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

Raffle.ai founder Suzanne Lauridsen joins Nathan Latka to discuss building an enterprise AI customer support automation platform, detailing her fundraising journey, go-to-market sales strategy, and transition from bootstrapping to venture scale.

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 50.7% of the talking time here. How this is scored →

Nathan as informed peer 5.7 Guest teaching 2.0 Guest disagreement 1.3 Nathan pushing back 3.0
05100:0010:002:35–5:18 · Nathan as informed peer 5/10 Engineering Headcount and Sales Department Structure Latka explores Raffle.ai's early fundraising history and team breakdown between 18 engineers and 5 salespeople. Lauridsen explains how her previous entrepreneurial exit helped her pre-sell the vision to initial angel investors without a product.5:18–7:51 · Nathan as informed peer 7/10 Enterprise Pricing, Sales Quotas, and Compensation Latka digs into the economics of the $35k ACV enterprise model, asking about quota expectations and OTE commission splits. He breaks down the math into an annual quota of over $400k against a $150k OTE, verifying the healthy 3-4x quota-to-OTE multiple.7:51–11:11 · Nathan as informed peer 6/10 Product Evolution, Incubator Pilots, and Customer Traction Lauridsen explains how the initial pilot customers at the Pier 47 incubator guided their transition toward their flagship customer support Autopilot product. Latka calculates current ARR run rate at roughly $250k across 7 enterprise customers.11:12–13:16 · Nathan as informed peer 5/10 Equity Dilution and Venture Capital vs. Bootstrapping Latka questions whether giving up nearly 50% equity early feels fair to the founders. Lauridsen pushes back on purely optimizing for equity retention, explaining why taking heavy dilution is worthwhile for rapid global expansion compared to her prior bootstrapped exit.13:18–15:50 · Nathan as informed peer 7/10 Financial Runway, Burn Rate, and Series A Ambitions Latka examines the company's $160k monthly burn rate and deduces they have roughly $1.7M in the bank across 12 months of runway. He probes their Series A targets, where Lauridsen aims to scale to $1.5M ARR to raise a $10M round.15:51–18:18 · Nathan as informed peer 4/10 The Famous Five Rapid-Fire Questions Latka runs through the standard Famous Five lightning round, covering favorite books, relationship status, sleep habits, and advice to her 20-year-old self, before summarizing the company's financial profile.2:35–5:18 · Guest teaching 1/10 Engineering Headcount and Sales Department Structure Latka explores Raffle.ai's early fundraising history and team breakdown between 18 engineers and 5 salespeople. Lauridsen explains how her previous entrepreneurial exit helped her pre-sell the vision to initial angel investors without a product.5:18–7:51 · Guest teaching 2/10 Enterprise Pricing, Sales Quotas, and Compensation Latka digs into the economics of the $35k ACV enterprise model, asking about quota expectations and OTE commission splits. He breaks down the math into an annual quota of over $400k against a $150k OTE, verifying the healthy 3-4x quota-to-OTE multiple.7:51–11:11 · Guest teaching 2/10 Product Evolution, Incubator Pilots, and Customer Traction Lauridsen explains how the initial pilot customers at the Pier 47 incubator guided their transition toward their flagship customer support Autopilot product. Latka calculates current ARR run rate at roughly $250k across 7 enterprise customers.11:12–13:16 · Guest teaching 4/10 Equity Dilution and Venture Capital vs. Bootstrapping Latka questions whether giving up nearly 50% equity early feels fair to the founders. Lauridsen pushes back on purely optimizing for equity retention, explaining why taking heavy dilution is worthwhile for rapid global expansion compared to her prior bootstrapped exit.13:18–15:50 · Guest teaching 2/10 Financial Runway, Burn Rate, and Series A Ambitions Latka examines the company's $160k monthly burn rate and deduces they have roughly $1.7M in the bank across 12 months of runway. He probes their Series A targets, where Lauridsen aims to scale to $1.5M ARR to raise a $10M round.15:51–18:18 · Guest teaching 1/10 The Famous Five Rapid-Fire Questions Latka runs through the standard Famous Five lightning round, covering favorite books, relationship status, sleep habits, and advice to her 20-year-old self, before summarizing the company's financial profile.2:35–5:18 · Guest disagreement 1/10 Engineering Headcount and Sales Department Structure Latka explores Raffle.ai's early fundraising history and team breakdown between 18 engineers and 5 salespeople. Lauridsen explains how her previous entrepreneurial exit helped her pre-sell the vision to initial angel investors without a product.5:18–7:51 · Guest disagreement 2/10 Enterprise Pricing, Sales Quotas, and Compensation Latka digs into the economics of the $35k ACV enterprise model, asking about quota expectations and OTE commission splits. He breaks down the math into an annual quota of over $400k against a $150k OTE, verifying the healthy 3-4x quota-to-OTE multiple.7:51–11:11 · Guest disagreement 1/10 Product Evolution, Incubator Pilots, and Customer Traction Lauridsen explains how the initial pilot customers at the Pier 47 incubator guided their transition toward their flagship customer support Autopilot product. Latka calculates current ARR run rate at roughly $250k across 7 enterprise customers.11:12–13:16 · Guest disagreement 2/10 Equity Dilution and Venture Capital vs. Bootstrapping Latka questions whether giving up nearly 50% equity early feels fair to the founders. Lauridsen pushes back on purely optimizing for equity retention, explaining why taking heavy dilution is worthwhile for rapid global expansion compared to her prior bootstrapped exit.13:18–15:50 · Guest disagreement 1/10 Financial Runway, Burn Rate, and Series A Ambitions Latka examines the company's $160k monthly burn rate and deduces they have roughly $1.7M in the bank across 12 months of runway. He probes their Series A targets, where Lauridsen aims to scale to $1.5M ARR to raise a $10M round.15:51–18:18 · Guest disagreement 1/10 The Famous Five Rapid-Fire Questions Latka runs through the standard Famous Five lightning round, covering favorite books, relationship status, sleep habits, and advice to her 20-year-old self, before summarizing the company's financial profile.2:35–5:18 · Nathan pushing back 2/10 Engineering Headcount and Sales Department Structure Latka explores Raffle.ai's early fundraising history and team breakdown between 18 engineers and 5 salespeople. Lauridsen explains how her previous entrepreneurial exit helped her pre-sell the vision to initial angel investors without a product.5:18–7:51 · Nathan pushing back 4/10 Enterprise Pricing, Sales Quotas, and Compensation Latka digs into the economics of the $35k ACV enterprise model, asking about quota expectations and OTE commission splits. He breaks down the math into an annual quota of over $400k against a $150k OTE, verifying the healthy 3-4x quota-to-OTE multiple.7:51–11:11 · Nathan pushing back 3/10 Product Evolution, Incubator Pilots, and Customer Traction Lauridsen explains how the initial pilot customers at the Pier 47 incubator guided their transition toward their flagship customer support Autopilot product. Latka calculates current ARR run rate at roughly $250k across 7 enterprise customers.11:12–13:16 · Nathan pushing back 3/10 Equity Dilution and Venture Capital vs. Bootstrapping Latka questions whether giving up nearly 50% equity early feels fair to the founders. Lauridsen pushes back on purely optimizing for equity retention, explaining why taking heavy dilution is worthwhile for rapid global expansion compared to her prior bootstrapped exit.13:18–15:50 · Nathan pushing back 4/10 Financial Runway, Burn Rate, and Series A Ambitions Latka examines the company's $160k monthly burn rate and deduces they have roughly $1.7M in the bank across 12 months of runway. He probes their Series A targets, where Lauridsen aims to scale to $1.5M ARR to raise a $10M round.15:51–18:18 · Nathan pushing back 2/10 The Famous Five Rapid-Fire Questions Latka runs through the standard Famous Five lightning round, covering favorite books, relationship status, sleep habits, and advice to her 20-year-old self, before summarizing the company's financial profile.

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

0:00 · Nathan 79.2% · guest 20.8%0:00 · Nathan 79.2% · guest 20.8%3:00 · Nathan 31.4% · guest 68.6%3:00 · Nathan 31.4% · guest 68.6%6:00 · Nathan 56.7% · guest 43.3%6:00 · Nathan 56.7% · guest 43.3%9:00 · Nathan 45.3% · guest 54.7%9:00 · Nathan 45.3% · guest 54.7%12:00 · Nathan 32.1% · guest 67.9%12:00 · Nathan 32.1% · guest 67.9%15:00 · Nathan 52.1% · guest 47.9%15:00 · Nathan 52.1% · guest 47.9%18:00 · Nathan 98% · guest 2%18:00 · Nathan 98% · guest 2%
Sharpest disagreement ▶ 11:53 Reframing early equity dilution

Lauridsen dismisses Latka's concern about heavy 50% founder dilution, emphasizing that global speed matters far more than optimizing for equity percentage.

 Hardest push from Nathan ▶ 6:02 Challenging rep quota milestones

Latka challenges Lauridsen's sales ramp projections by pointing out that none of her newly hired reps have proven they can close 3 to 4 enterprise deals per month yet.

 Biggest teaching moment ▶ 12:10 Contrasting bootstrapped vs VC exits

Lauridsen educates Latka on the strategic realities of venture backing by comparing it directly to her previous $3M revenue bootstrapped exit that took significantly longer to build.

 Nathan holds their own ▶ 6:22 Reverse-engineering enterprise sales math

Latka displays deep SaaS sales expertise by calculating the quota math, breaking down target earnings, and evaluating the 3-4x OTE multiple on the fly.
the scores for every segment, with the reasoning behind each
ChapterTopicNathan as informed peerGuest teachingGuest disagreementNathan pushing backWhy
Engineering Headcount and Sales Department Structure 5112 Latka explores Raffle.ai's early fundraising history and team breakdown between 18 engineers and 5 salespeople. Lauridsen explains how her previous entrepreneurial exit helped her pre-sell the vision to initial angel investors without a product.
Enterprise Pricing, Sales Quotas, and Compensation 7224 Latka digs into the economics of the $35k ACV enterprise model, asking about quota expectations and OTE commission splits. He breaks down the math into an annual quota of over $400k against a $150k OTE, verifying the healthy 3-4x quota-to-OTE multiple.
Product Evolution, Incubator Pilots, and Customer Traction 6213 Lauridsen explains how the initial pilot customers at the Pier 47 incubator guided their transition toward their flagship customer support Autopilot product. Latka calculates current ARR run rate at roughly $250k across 7 enterprise customers.
Equity Dilution and Venture Capital vs. Bootstrapping 5423 Latka questions whether giving up nearly 50% equity early feels fair to the founders. Lauridsen pushes back on purely optimizing for equity retention, explaining why taking heavy dilution is worthwhile for rapid global expansion compared to her prior bootstrapped exit.
Financial Runway, Burn Rate, and Series A Ambitions 7214 Latka examines the company's $160k monthly burn rate and deduces they have roughly $1.7M in the bank across 12 months of runway. He probes their Series A targets, where Lauridsen aims to scale to $1.5M ARR to raise a $10M round.
The Famous Five Rapid-Fire Questions 4112 Latka runs through the standard Famous Five lightning round, covering favorite books, relationship status, sleep habits, and advice to her 20-year-old self, before summarizing the company's financial profile.

Statements from this episode (16)

Disclosure
Lauridsen: Raffle.ai employs 18 engineers and five sales reps
“Yes, we actually have 18 engineers and five in sales up until now, so it's yeah.”
Suzanne Lauritzen Nov 3, 2020 ▶ 2:57
Disclosure
Lauridsen: Raffle.ai launched dedicated sales team two months ago
“We just I mean, we just started the sales department actually just two months ago. So that's pretty new. And up until then it was just me selling.”
Suzanne Lauritzen Nov 3, 2020 ▶ 3:13
Disclosure
Lauridsen: Raffle.ai has raised $3.5M in total funding
“3.5 million us.”
Suzanne Lauritzen Nov 3, 2020 ▶ 3:42
Disclosure
Lauridsen: Raffle.ai raised about $200k in its first angel round
“That was about 200 thousand.”
Suzanne Lauritzen Nov 3, 2020 ▶ 4:24
Disclosure
Lauridsen: Raffle.ai raised angel round with zero product and no clients
“We didn't have any clients. Of course, we didn't have any product. Basically, we didn't have anything. So, but we had the idea and we had the right team, I guess.”
Suzanne Lauritzen Nov 3, 2020 ▶ 5:08
Assertion Not checkable as stated
Lauridsen: Raffle.ai Average Contract Value Is $35,000 per Year
“An average per year, I would rather say that's 35,000 US.”
Suzanne Lauritzen Nov 3, 2020 ▶ 5:26
Disclosure
Lauridsen: Raffle.ai Quotas Ramp to Three Closed Accounts Monthly
“Well, we just have a quota today that says one client a month, and then that's going up to two clients a month within, you know, after three months and then after six months is three clients a month.”
Suzanne Lauritzen Nov 3, 2020 ▶ 5:49
Disclosure
Lauridsen: Raffle.ai First-Year Sales OTE Is Around $150,000
“You'll probably make you'll probably make about A 150,000 US.”
Suzanne Lauritzen Nov 3, 2020 ▶ 7:15
Assertion Not checkable as stated
Lauridsen: Raffle.ai has seven enterprise customers
“We have seven customers today.”
Suzanne Lauritzen Nov 3, 2020 ▶ 10:20
Disclosure
Raffle.ai plans to reach 20 customers in 2020
“Our plan is to get 20 this year.”
Suzanne Lauritzen Nov 3, 2020 ▶ 10:30
Disclosure
Lauridsen: Raffle.ai Sold Almost 50% Equity Across Early Rounds
“We have given up almost 50%.”
Suzanne Lauritzen Nov 3, 2020 ▶ 11:33
Disclosure
Lauridsen: Previous Bootstrapped Startup Had 30 Employees in All-Cash Sale
“The other company I sold was bootstrapped. So I owned 50% of that with my co-founder. He also owned 50% of that. We were 30 employees when we sold it. We got fifty-fifty each. It was a pure cash sale, and that was beautiful.”
Suzanne Lauritzen Nov 3, 2020 ▶ 12:21
Disclosure
Lauridsen: Prior Bootstrapped Company Reached Around $3M Revenue Before Exit
“Yes, it was around three million US.”
Suzanne Lauritzen Nov 3, 2020 ▶ 13:02
Assertion Not checkable as stated
Lauridsen: Raffle.ai burns $160,000 per month
“I have a 160,000 us in burn each month.”
Suzanne Lauritzen Nov 3, 2020 ▶ 13:36
Disclosure
Lauridsen: Raffle.ai aims to raise Series A in September 2021
“Yes, we are, and we are going for an A round in September next year.”
Suzanne Lauritzen Nov 3, 2020 ▶ 14:05
Prediction Not checkable as stated
Lauridsen: Raffle.ai can reach $1.5M ARR by October 2021
“Well I would like to go to around 1.5 million dollars annual occurring. And I think that's possible in October next year.”
Suzanne Lauritzen Nov 3, 2020 ▶ 14:28
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