StarZero All shows Try the podcast clipper →

Sep 14, 2018 · 21m · top-founders

1147 We make $200k/mo helping people find financial products

Miron Lulic · 11m 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

In this episode of The Top Entrepreneurs Podcast, host Nathan Latka interviews SuperMoney founder and CEO Miron Lulic about scaling a bootstrapped financial comparison platform to $200,000 in monthly revenue. Lulic breaks down SuperMoney's cost-per-funded-loan monetization model, ranking algorithms, affiliate unit economics, and roadmap to reaching a $10 million ARR run rate.

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 39.9% of the talking time here. How this is scored →

Nathan as informed peer 4.4 Guest teaching 3.7 Guest disagreement 1.7 Nathan pushing back 2.9
05100:0010:0020:001:52–4:19 · Nathan as informed peer 4/10 SuperMoney Platform Overview: Combining Data and Reviews Nathan tests Miron immediately with a direct comparison question between Betterment and Wealthfront. Miron explains how SuperMoney blends quantitative FICO and fee data with qualitative Yelp-like community reviews.4:19–8:51 · Nathan as informed peer 6/10 Monetization Strategy: Cost-per-Funded Loan Model Nathan probes deeply into SuperMoney's revenue model and ranking algorithms. Miron introduces the Wilson scoring algorithm and explains how expected earnings per click are balanced against user reviews to avoid a pure pay-to-play model.8:51–10:54 · Nathan as informed peer 5/10 Affiliate Networks and Lucrative Financial Verticals Nathan asks how SuperMoney manages hundreds of partners and inquires which financial verticals generate the highest affiliate yield. Miron outlines the mix of affiliate networks versus direct deals and contrasts niche high-EPC verticals like tax relief with high-volume personal loans.10:57–13:11 · Nathan as informed peer 3/10 Sponsor Message: Relentless MV Performance Conference Following a sponsor read, Nathan asserts that credit card signups pay five to six hundred dollars per conversion. Miron politely corrects him, pointing out that consumer credit cards typically pay far less, between twenty and fifty dollars.13:11–15:45 · Nathan as informed peer 5/10 SuperMoney Founding Story, Capital, and Team Structure Nathan drills into the early timeline, asking about initial revenues, burn rate, and capital structure. He pushes Miron to clarify what he means by partners investing one million dollars to cover burn.15:45–18:58 · Nathan as informed peer 5/10 Content Engine and Scaling to Two Hundred Thousand Monthly Revenue Nathan questions Miron's goal of scaling from two hundred thousand monthly revenue to a ten million run rate within a year, noting growth gets harder at scale. Miron defends the target by highlighting his prior experience executing massive growth at Optima Tax Relief.18:59–21:16 · Nathan as informed peer 3/10 The Famous Five Rapid-Fire Questions Nathan runs through the standard Famous Five rapid-fire questions covering reading habits, CEO inspirations, sleep, and advice to a younger self before summarizing the company metrics.1:52–4:19 · Guest teaching 3/10 SuperMoney Platform Overview: Combining Data and Reviews Nathan tests Miron immediately with a direct comparison question between Betterment and Wealthfront. Miron explains how SuperMoney blends quantitative FICO and fee data with qualitative Yelp-like community reviews.4:19–8:51 · Guest teaching 6/10 Monetization Strategy: Cost-per-Funded Loan Model Nathan probes deeply into SuperMoney's revenue model and ranking algorithms. Miron introduces the Wilson scoring algorithm and explains how expected earnings per click are balanced against user reviews to avoid a pure pay-to-play model.8:51–10:54 · Guest teaching 4/10 Affiliate Networks and Lucrative Financial Verticals Nathan asks how SuperMoney manages hundreds of partners and inquires which financial verticals generate the highest affiliate yield. Miron outlines the mix of affiliate networks versus direct deals and contrasts niche high-EPC verticals like tax relief with high-volume personal loans.10:57–13:11 · Guest teaching 6/10 Sponsor Message: Relentless MV Performance Conference Following a sponsor read, Nathan asserts that credit card signups pay five to six hundred dollars per conversion. Miron politely corrects him, pointing out that consumer credit cards typically pay far less, between twenty and fifty dollars.13:11–15:45 · Guest teaching 2/10 SuperMoney Founding Story, Capital, and Team Structure Nathan drills into the early timeline, asking about initial revenues, burn rate, and capital structure. He pushes Miron to clarify what he means by partners investing one million dollars to cover burn.15:45–18:58 · Guest teaching 4/10 Content Engine and Scaling to Two Hundred Thousand Monthly Revenue Nathan questions Miron's goal of scaling from two hundred thousand monthly revenue to a ten million run rate within a year, noting growth gets harder at scale. Miron defends the target by highlighting his prior experience executing massive growth at Optima Tax Relief.18:59–21:16 · Guest teaching 1/10 The Famous Five Rapid-Fire Questions Nathan runs through the standard Famous Five rapid-fire questions covering reading habits, CEO inspirations, sleep, and advice to a younger self before summarizing the company metrics.1:52–4:19 · Guest disagreement 1/10 SuperMoney Platform Overview: Combining Data and Reviews Nathan tests Miron immediately with a direct comparison question between Betterment and Wealthfront. Miron explains how SuperMoney blends quantitative FICO and fee data with qualitative Yelp-like community reviews.4:19–8:51 · Guest disagreement 2/10 Monetization Strategy: Cost-per-Funded Loan Model Nathan probes deeply into SuperMoney's revenue model and ranking algorithms. Miron introduces the Wilson scoring algorithm and explains how expected earnings per click are balanced against user reviews to avoid a pure pay-to-play model.8:51–10:54 · Guest disagreement 1/10 Affiliate Networks and Lucrative Financial Verticals Nathan asks how SuperMoney manages hundreds of partners and inquires which financial verticals generate the highest affiliate yield. Miron outlines the mix of affiliate networks versus direct deals and contrasts niche high-EPC verticals like tax relief with high-volume personal loans.10:57–13:11 · Guest disagreement 2/10 Sponsor Message: Relentless MV Performance Conference Following a sponsor read, Nathan asserts that credit card signups pay five to six hundred dollars per conversion. Miron politely corrects him, pointing out that consumer credit cards typically pay far less, between twenty and fifty dollars.13:11–15:45 · Guest disagreement 1/10 SuperMoney Founding Story, Capital, and Team Structure Nathan drills into the early timeline, asking about initial revenues, burn rate, and capital structure. He pushes Miron to clarify what he means by partners investing one million dollars to cover burn.15:45–18:58 · Guest disagreement 4/10 Content Engine and Scaling to Two Hundred Thousand Monthly Revenue Nathan questions Miron's goal of scaling from two hundred thousand monthly revenue to a ten million run rate within a year, noting growth gets harder at scale. Miron defends the target by highlighting his prior experience executing massive growth at Optima Tax Relief.18:59–21:16 · Guest disagreement 1/10 The Famous Five Rapid-Fire Questions Nathan runs through the standard Famous Five rapid-fire questions covering reading habits, CEO inspirations, sleep, and advice to a younger self before summarizing the company metrics.1:52–4:19 · Nathan pushing back 3/10 SuperMoney Platform Overview: Combining Data and Reviews Nathan tests Miron immediately with a direct comparison question between Betterment and Wealthfront. Miron explains how SuperMoney blends quantitative FICO and fee data with qualitative Yelp-like community reviews.4:19–8:51 · Nathan pushing back 4/10 Monetization Strategy: Cost-per-Funded Loan Model Nathan probes deeply into SuperMoney's revenue model and ranking algorithms. Miron introduces the Wilson scoring algorithm and explains how expected earnings per click are balanced against user reviews to avoid a pure pay-to-play model.8:51–10:54 · Nathan pushing back 2/10 Affiliate Networks and Lucrative Financial Verticals Nathan asks how SuperMoney manages hundreds of partners and inquires which financial verticals generate the highest affiliate yield. Miron outlines the mix of affiliate networks versus direct deals and contrasts niche high-EPC verticals like tax relief with high-volume personal loans.10:57–13:11 · Nathan pushing back 2/10 Sponsor Message: Relentless MV Performance Conference Following a sponsor read, Nathan asserts that credit card signups pay five to six hundred dollars per conversion. Miron politely corrects him, pointing out that consumer credit cards typically pay far less, between twenty and fifty dollars.13:11–15:45 · Nathan pushing back 4/10 SuperMoney Founding Story, Capital, and Team Structure Nathan drills into the early timeline, asking about initial revenues, burn rate, and capital structure. He pushes Miron to clarify what he means by partners investing one million dollars to cover burn.15:45–18:58 · Nathan pushing back 4/10 Content Engine and Scaling to Two Hundred Thousand Monthly Revenue Nathan questions Miron's goal of scaling from two hundred thousand monthly revenue to a ten million run rate within a year, noting growth gets harder at scale. Miron defends the target by highlighting his prior experience executing massive growth at Optima Tax Relief.18:59–21:16 · Nathan pushing back 1/10 The Famous Five Rapid-Fire Questions Nathan runs through the standard Famous Five rapid-fire questions covering reading habits, CEO inspirations, sleep, and advice to a younger self before summarizing the company metrics.

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

0:00 · Nathan 65.4% · guest 34.6%0:00 · Nathan 65.4% · guest 34.6%3:00 · Nathan 18.8% · guest 81.2%3:00 · Nathan 18.8% · guest 81.2%6:00 · Nathan 42.8% · guest 57.2%6:00 · Nathan 42.8% · guest 57.2%9:00 · Nathan 48% · guest 52%9:00 · Nathan 48% · guest 52%12:00 · Nathan 40.6% · guest 59.4%12:00 · Nathan 40.6% · guest 59.4%15:00 · Nathan 29% · guest 71%15:00 · Nathan 29% · guest 71%18:00 · Nathan 27.6% · guest 72.4%18:00 · Nathan 27.6% · guest 72.4%21:00 · Nathan 97.8% · guest 2.2%21:00 · Nathan 97.8% · guest 2.2%
Sharpest disagreement ▶ 17:30 Guest defends aggressive growth forecast

When Nathan expresses skepticism about four-xing revenue to ten million ARR within a year, Miron counters by citing his track record of achieving massive multi-thousand percent growth at Optima.

 Hardest push from Nathan ▶ 14:52 Host demands clarification on burn funding

Nathan refuses to let Miron's vague phrasing about a million dollars in total burn pass, pressing him repeatedly to explain the exact mechanics of partner capital contributions.

 Biggest teaching moment ▶ 6:28 Wilson scoring algorithm explanation

Miron educates Nathan on the Wilson scoring algorithm and how review distributions are balanced against commercial EPC weighting to prevent pay-to-play distortion.

 Nathan holds their own ▶ 8:06 Host maps out weighted EPC unit economics

Nathan synthesizes Miron's high-level remarks into a concrete operational example of how direct deals, review counts, and backward-calculated earnings per click function together.
the scores for every segment, with the reasoning behind each
ChapterTopicNathan as informed peerGuest teachingGuest disagreementNathan pushing backWhy
SuperMoney Platform Overview: Combining Data and Reviews 4313 Nathan tests Miron immediately with a direct comparison question between Betterment and Wealthfront. Miron explains how SuperMoney blends quantitative FICO and fee data with qualitative Yelp-like community reviews.
Monetization Strategy: Cost-per-Funded Loan Model 6624 Nathan probes deeply into SuperMoney's revenue model and ranking algorithms. Miron introduces the Wilson scoring algorithm and explains how expected earnings per click are balanced against user reviews to avoid a pure pay-to-play model.
Affiliate Networks and Lucrative Financial Verticals 5412 Nathan asks how SuperMoney manages hundreds of partners and inquires which financial verticals generate the highest affiliate yield. Miron outlines the mix of affiliate networks versus direct deals and contrasts niche high-EPC verticals like tax relief with high-volume personal loans.
Sponsor Message: Relentless MV Performance Conference 3622 Following a sponsor read, Nathan asserts that credit card signups pay five to six hundred dollars per conversion. Miron politely corrects him, pointing out that consumer credit cards typically pay far less, between twenty and fifty dollars.
SuperMoney Founding Story, Capital, and Team Structure 5214 Nathan drills into the early timeline, asking about initial revenues, burn rate, and capital structure. He pushes Miron to clarify what he means by partners investing one million dollars to cover burn.
Content Engine and Scaling to Two Hundred Thousand Monthly Revenue 5444 Nathan questions Miron's goal of scaling from two hundred thousand monthly revenue to a ten million run rate within a year, noting growth gets harder at scale. Miron defends the target by highlighting his prior experience executing massive growth at Optima Tax Relief.
The Famous Five Rapid-Fire Questions 3111 Nathan runs through the standard Famous Five rapid-fire questions covering reading habits, CEO inspirations, sleep, and advice to a younger self before summarizing the company metrics.

Statements from this episode (11)

Disclosure
SuperMoney integrates with lenders to return real pre-approvals directly
“We launched with our personal loan offer engine, and that's integrated directly with a bunch of lenders. So we're collecting a whole loan app on our end. Segmenting it and submitting it to its multiple partners and they're getting real, you know, pre-approvals…”
Miron Lulic Sep 14, 2018 ▶ 4:03
Disclosure
SuperMoney monetizes on a cost-per-funded-loan basis rather than per lead
“We're not on a per lead basis with anyone right now. We're on a cost per funded loan.”
Miron Lulic Sep 14, 2018 ▶ 4:25
Disclosure
SuperMoney ranking algorithm favors partners based on expected earnings per click
“We do have, you know, a component to our sorting algorithms. It's sort of weighing in our expected revenue. On a earnings per click basis. So we do have some sort of leverage in that way. And we, you know, the people who want more traffic to some degree, if th…”
Miron Lulic Sep 14, 2018 ▶ 5:34
Disclosure
SuperMoney uses a Wilson scoring algorithm to normalize review distributions
“We use a Wilson scoring algorithm similar to you know, yeah, I think uses that as well. It looks at the distribution of reviews, and you know, it's more, obviously somebody with one five-star review isn't going to rank at the top, so it is looking at that and …”
Miron Lulic Sep 14, 2018 ▶ 6:28
Insight
High-margin subprime products buy top comparison ranking slots despite lower quality
“Especially in sort of like subprime verticals, typically, you know, somebody with more margin will push their way up to the top and won't really align with the, you know, the general market of what is the best option.”
Miron Lulic Sep 14, 2018 ▶ 7:35
Insight
Tax and debt relief are highly lucrative per click but remain niche
“A lot of them, you know, pay a lot in tax relief. Some of these like get out of debt verticals are typically very lucrative on an EPC basis, but they're just, you know, niche, tiny vertical.”
Miron Lulic Sep 14, 2018 ▶ 10:20
Assertion Not checkable as stated
Credit card affiliate payouts range from $10 up to $200
“Personal credit cards typically a lot, you know, lower than that. Okay. Depends on the credit quality and the type of card. We have some as low as, you know, like under 10 dollars and typically, you know, 20 to 50 or something like that, but they, for like a r…”
Miron Lulic Sep 14, 2018 ▶ 12:46
Disclosure
SuperMoney founders invested $1M to cover burn without raising outside capital
“The selling partners have put in about just over a million dollars at this point in total of our burn. And but we haven't raised any outside.”
Miron Lulic Sep 14, 2018 ▶ 14:43
Assertion Not checkable as stated
SuperMoney approaches $200k monthly revenue, growing 15% to 20% month-over-month
“No, we've been growing about 15 to 20% month over month in terms of our top line revenue for the last year, and we're approaching about 200 K right now.”
Miron Lulic Sep 14, 2018 ▶ 16:22
Disclosure
SuperMoney aims to reach a $10M ARR before raising outside capital
“We, you know, we've been aiming to get to the ten million annual revenue run rate before we raise so that we can raise growth capital.”
Miron Lulic Sep 14, 2018 ▶ 16:50
Assertion Contradicted
Optima Tax Relief achieved an estimated 35,000 percent three-year growth rate
“No, I'm saying, like, with Optima you know, it was like, I think it was like a 35,000 percent three-year growth rate or something like that.”
Miron Lulic Sep 14, 2018 ▶ 17:38
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 2,600 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.

Try the podcast clipper Learn more