May 18, 2021 · 16m · top-founders

With 1 Exit Done, Can He Automate Diligence for Financial Firms Using RPA?

Vic Singh · 10m spoken Nathan Latka · 3m spoken Frank Bien · 4s spoken
0:00 / 0:00

gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

Host Nathan Latka interviews serial entrepreneur Vic Singh about his stealth AI startup, which leverages autonomous vehicle computer vision algorithms to automate corporate due diligence and robotic process workflows.

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 25% of the talking time here. How this is scored →

Nathan as informed peer 6.0 Guest teaching 3.0 Guest disagreement 2.3 Nathan pushing back 4.8
05100:0010:000:00–6:29 · Nathan as informed peer 6/10 Episode Preview: Potential Fundraising Plans Nathan probes how self-driving vision technology applies to desktop workflows, comparing it to UiPath and Zapier. Vic explains the fundamental difference between rule-based RPA and screen-level deep learning observation.6:30–11:58 · Nathan as informed peer 7/10 Automating Expert Outreach and Corporate Due Diligence Nathan challenges Vic by citing ZoomInfo's $16B IPO and asking how his tool differs from standard data scraping. Vic clarifies that they automate the downstream outreach and consulting due-diligence interviews rather than just lead listing.11:59–14:25 · Nathan as informed peer 5/10 Business Traction, Customers, and Fundraising Outlook Nathan attempts to pin down customer counts and capital invested, while Vic deflects exact figures but confirms having tens of customers including large asset managers. Nathan quickly deduces the target market includes PE and VC firms.14:25–16:16 · Nathan as informed peer 6/10 Co-Founder Equity and Capital Structure Nathan presses repeatedly on co-founder equity splits and self-funding dynamics, refusing to accept Vic's theoretical answer. Vic resists sharing specific percentages while explaining their initial capitalization setup.0:00–6:29 · Guest teaching 5/10 Episode Preview: Potential Fundraising Plans Nathan probes how self-driving vision technology applies to desktop workflows, comparing it to UiPath and Zapier. Vic explains the fundamental difference between rule-based RPA and screen-level deep learning observation.6:30–11:58 · Guest teaching 4/10 Automating Expert Outreach and Corporate Due Diligence Nathan challenges Vic by citing ZoomInfo's $16B IPO and asking how his tool differs from standard data scraping. Vic clarifies that they automate the downstream outreach and consulting due-diligence interviews rather than just lead listing.11:59–14:25 · Guest teaching 2/10 Business Traction, Customers, and Fundraising Outlook Nathan attempts to pin down customer counts and capital invested, while Vic deflects exact figures but confirms having tens of customers including large asset managers. Nathan quickly deduces the target market includes PE and VC firms.14:25–16:16 · Guest teaching 1/10 Co-Founder Equity and Capital Structure Nathan presses repeatedly on co-founder equity splits and self-funding dynamics, refusing to accept Vic's theoretical answer. Vic resists sharing specific percentages while explaining their initial capitalization setup.0:00–6:29 · Guest disagreement 2/10 Episode Preview: Potential Fundraising Plans Nathan probes how self-driving vision technology applies to desktop workflows, comparing it to UiPath and Zapier. Vic explains the fundamental difference between rule-based RPA and screen-level deep learning observation.6:30–11:58 · Guest disagreement 2/10 Automating Expert Outreach and Corporate Due Diligence Nathan challenges Vic by citing ZoomInfo's $16B IPO and asking how his tool differs from standard data scraping. Vic clarifies that they automate the downstream outreach and consulting due-diligence interviews rather than just lead listing.11:59–14:25 · Guest disagreement 2/10 Business Traction, Customers, and Fundraising Outlook Nathan attempts to pin down customer counts and capital invested, while Vic deflects exact figures but confirms having tens of customers including large asset managers. Nathan quickly deduces the target market includes PE and VC firms.14:25–16:16 · Guest disagreement 3/10 Co-Founder Equity and Capital Structure Nathan presses repeatedly on co-founder equity splits and self-funding dynamics, refusing to accept Vic's theoretical answer. Vic resists sharing specific percentages while explaining their initial capitalization setup.0:00–6:29 · Nathan pushing back 3/10 Episode Preview: Potential Fundraising Plans Nathan probes how self-driving vision technology applies to desktop workflows, comparing it to UiPath and Zapier. Vic explains the fundamental difference between rule-based RPA and screen-level deep learning observation.6:30–11:58 · Nathan pushing back 5/10 Automating Expert Outreach and Corporate Due Diligence Nathan challenges Vic by citing ZoomInfo's $16B IPO and asking how his tool differs from standard data scraping. Vic clarifies that they automate the downstream outreach and consulting due-diligence interviews rather than just lead listing.11:59–14:25 · Nathan pushing back 4/10 Business Traction, Customers, and Fundraising Outlook Nathan attempts to pin down customer counts and capital invested, while Vic deflects exact figures but confirms having tens of customers including large asset managers. Nathan quickly deduces the target market includes PE and VC firms.14:25–16:16 · Nathan pushing back 7/10 Co-Founder Equity and Capital Structure Nathan presses repeatedly on co-founder equity splits and self-funding dynamics, refusing to accept Vic's theoretical answer. Vic resists sharing specific percentages while explaining their initial capitalization setup.

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

0:00 · Nathan 53.3% · guest 46.7%0:00 · Nathan 53.3% · guest 46.7%3:00 · Nathan 11.4% · guest 88.6%3:00 · Nathan 11.4% · guest 88.6%6:00 · Nathan 8% · guest 92%6:00 · Nathan 8% · guest 92%9:00 · Nathan 22% · guest 78%9:00 · Nathan 22% · guest 78%12:00 · Nathan 26.9% · guest 73.1%12:00 · Nathan 26.9% · guest 73.1%15:00 · Nathan 31.7% · guest 68.3%15:00 · Nathan 31.7% · guest 68.3%
Sharpest disagreement ▶ 14:34 Vic resists sharing co-founder equity split

Vic attempts to avoid disclosing actual numbers by pivoting to a theoretical explanation, asserting his reluctance to share specific company figures.

Hardest push from Nathan ▶ 14:45 Nathan rejects theoretical founder equity answer

Nathan cuts off Vic when he begins using a hypothetical scenario, insisting on getting the real specifics of his exact founding setup.

Biggest teaching moment ▶ 4:15 Vic details applying computer vision to desktop pixels

Vic walks Nathan through how high-resolution screen OCR and deep learning models map mouse and keyboard movements analogous to car steering and pedals.

Nathan holds their own ▶ 10:07 Nathan cites ZoomInfo and BuiltWith technographics

Nathan demonstrates domain knowledge of the sales-intelligence stack by referencing ZoomInfo's public market cap and BuiltWith JavaScript pixel tracking.

the scores for every segment, with the reasoning behind each
ChapterTopicNathan as informed peerGuest teachingGuest disagreementNathan pushing backWhy
Episode Preview: Potential Fundraising Plans 6523 Nathan probes how self-driving vision technology applies to desktop workflows, comparing it to UiPath and Zapier. Vic explains the fundamental difference between rule-based RPA and screen-level deep learning observation.
Automating Expert Outreach and Corporate Due Diligence 7425 Nathan challenges Vic by citing ZoomInfo's $16B IPO and asking how his tool differs from standard data scraping. Vic clarifies that they automate the downstream outreach and consulting due-diligence interviews rather than just lead listing.
Business Traction, Customers, and Fundraising Outlook 5224 Nathan attempts to pin down customer counts and capital invested, while Vic deflects exact figures but confirms having tens of customers including large asset managers. Nathan quickly deduces the target market includes PE and VC firms.
Co-Founder Equity and Capital Structure 6137 Nathan presses repeatedly on co-founder equity splits and self-funding dynamics, refusing to accept Vic's theoretical answer. Vic resists sharing specific percentages while explaining their initial capitalization setup.

Statements from this episode (6)

Opinion
Singh: New self-driving car startups struggle to compete with tech giants
“I'm not a huge believer in new startups that build self-driving cars. I think it's really hard to compete with the giants, but if you look at the vision advances have been made there, they've been amazing.”
Vic Singh May 18, 2021 ▶ 3:44
Insight
Singh: Self-driving vision algorithms can automate desktop keyboard and mouse workflows
“If you take that capability and apply it to your screen, it would know exactly what's going on, right, because the resolution is so high, and so it can understand the text really well, OCR accuracy has improved dramatically, and so if you can understand what's…”
Vic Singh May 18, 2021 ▶ 4:32
Assertion Not checkable as stated
Singh: UiPath RPA requires hiring engineers to write custom rule-based code
“If you look at UiPath, you, you're basically hiring RPA engineers to write the code. And it's like a different type of language where you're writing code.”
Vic Singh May 18, 2021 ▶ 6:06
Assertion Supported
Singh: Expert Due Diligence Calls Cost $1,000 to $2,000 Each
“These meetings can be anywhere between a 1002 thousand dollars a meeting.”
Vic Singh May 18, 2021 ▶ 7:20
Assertion Not checkable as stated
Singh's stealth AI startup has acquired multiple $10B+ market cap customers
“What we have done is in the last six months, we've actually brought on customers. So we have many customers, many of whom even have like, you know, more than ten billion capitalization.”
Vic Singh May 18, 2021 ▶ 12:20
Insight
Singh argues co-founder equity splits should reflect when each person joined
“In, in general, what I think the way the equity structure should be split is based on like, Where that a single, where a person came in.”
Vic Singh May 18, 2021 ▶ 14:46
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