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Oct 2, 2015 · 25m · 20vc

FF 015: Y COMBINATOR WEEK: Eric Glyman, Co-Founder & CEO @ Paribus

Eric Glyman · 17m spoken Harry Stebbings · 5m 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 20 Minute VC, host Harry Stebbings interviews Eric Glyman, co-founder and CEO of Paribus, discussing how the company automates price drop refunds, their disciplined hypothesis testing, navigating Y Combinator, and creating viral referral loops.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Harry holds 22.2% of the talking time here. How this is scored →

Harry as informed peer 1.7 Guest teaching 2.3 Guest disagreement 0.3 Harry pushing back 1.0
05100:0010:0020:002:11–5:07 · Harry as informed peer 1/10 Eric Glyman's Background and Paribus Aha Moment Harry prompts Eric for his background and career before founding Paribus. Eric shares his background in retail and corporate restructuring, detailing how reading contracts led to the insight that automated price adjustment claims could save consumers money.5:07–8:33 · Harry as informed peer 3/10 Testing Early Hypotheses and Building a Scalable MVP Eric explains spending a year testing early hypotheses to build a simple MVP. Harry challenges whether taking an entire year was effective compared to the typical startup approach of rushing a product to market in weeks.8:33–11:45 · Harry as informed peer 2/10 Iterative Product Testing and Initial User Feedback Harry asks for specific examples of tested hypotheses and whether user feedback was gathered broadly or in targeted niches. Eric details dogfooding methods and testing small user groups via Reddit before scaling.11:45–15:31 · Harry as informed peer 2/10 The Y Combinator Application and Interview Experience Eric recounts applying to Y Combinator, noting that they were rejected on their first attempt before securing an interview on their second try. He describes the intense, rapid-fire nature of the 10-minute YC interview.15:31–19:28 · Harry as informed peer 1/10 Overcoming Growth Bottlenecks with a Viral Referral Loop Harry asks about key inflection points and setbacks. Eric provides a deep dive into user trust and viral loops, explaining how shifting from a cash reward referral system to a mutual fee discount boosted weekly growth from 5% to 20%.19:29–24:05 · Harry as informed peer 1/10 Quickfire Round: Books, Routine, Dinners, and Future Vision Harry runs through quickfire questions regarding favorite books, daily routines, guest speakers at YC, and future expansion plans. Eric answers collaboratively and wraps up with Paribus's future vision.2:11–5:07 · Guest teaching 2/10 Eric Glyman's Background and Paribus Aha Moment Harry prompts Eric for his background and career before founding Paribus. Eric shares his background in retail and corporate restructuring, detailing how reading contracts led to the insight that automated price adjustment claims could save consumers money.5:07–8:33 · Guest teaching 2/10 Testing Early Hypotheses and Building a Scalable MVP Eric explains spending a year testing early hypotheses to build a simple MVP. Harry challenges whether taking an entire year was effective compared to the typical startup approach of rushing a product to market in weeks.8:33–11:45 · Guest teaching 2/10 Iterative Product Testing and Initial User Feedback Harry asks for specific examples of tested hypotheses and whether user feedback was gathered broadly or in targeted niches. Eric details dogfooding methods and testing small user groups via Reddit before scaling.11:45–15:31 · Guest teaching 3/10 The Y Combinator Application and Interview Experience Eric recounts applying to Y Combinator, noting that they were rejected on their first attempt before securing an interview on their second try. He describes the intense, rapid-fire nature of the 10-minute YC interview.15:31–19:28 · Guest teaching 4/10 Overcoming Growth Bottlenecks with a Viral Referral Loop Harry asks about key inflection points and setbacks. Eric provides a deep dive into user trust and viral loops, explaining how shifting from a cash reward referral system to a mutual fee discount boosted weekly growth from 5% to 20%.19:29–24:05 · Guest teaching 1/10 Quickfire Round: Books, Routine, Dinners, and Future Vision Harry runs through quickfire questions regarding favorite books, daily routines, guest speakers at YC, and future expansion plans. Eric answers collaboratively and wraps up with Paribus's future vision.2:11–5:07 · Guest disagreement 0/10 Eric Glyman's Background and Paribus Aha Moment Harry prompts Eric for his background and career before founding Paribus. Eric shares his background in retail and corporate restructuring, detailing how reading contracts led to the insight that automated price adjustment claims could save consumers money.5:07–8:33 · Guest disagreement 1/10 Testing Early Hypotheses and Building a Scalable MVP Eric explains spending a year testing early hypotheses to build a simple MVP. Harry challenges whether taking an entire year was effective compared to the typical startup approach of rushing a product to market in weeks.8:33–11:45 · Guest disagreement 0/10 Iterative Product Testing and Initial User Feedback Harry asks for specific examples of tested hypotheses and whether user feedback was gathered broadly or in targeted niches. Eric details dogfooding methods and testing small user groups via Reddit before scaling.11:45–15:31 · Guest disagreement 1/10 The Y Combinator Application and Interview Experience Eric recounts applying to Y Combinator, noting that they were rejected on their first attempt before securing an interview on their second try. He describes the intense, rapid-fire nature of the 10-minute YC interview.15:31–19:28 · Guest disagreement 0/10 Overcoming Growth Bottlenecks with a Viral Referral Loop Harry asks about key inflection points and setbacks. Eric provides a deep dive into user trust and viral loops, explaining how shifting from a cash reward referral system to a mutual fee discount boosted weekly growth from 5% to 20%.19:29–24:05 · Guest disagreement 0/10 Quickfire Round: Books, Routine, Dinners, and Future Vision Harry runs through quickfire questions regarding favorite books, daily routines, guest speakers at YC, and future expansion plans. Eric answers collaboratively and wraps up with Paribus's future vision.2:11–5:07 · Harry pushing back 1/10 Eric Glyman's Background and Paribus Aha Moment Harry prompts Eric for his background and career before founding Paribus. Eric shares his background in retail and corporate restructuring, detailing how reading contracts led to the insight that automated price adjustment claims could save consumers money.5:07–8:33 · Harry pushing back 3/10 Testing Early Hypotheses and Building a Scalable MVP Eric explains spending a year testing early hypotheses to build a simple MVP. Harry challenges whether taking an entire year was effective compared to the typical startup approach of rushing a product to market in weeks.8:33–11:45 · Harry pushing back 1/10 Iterative Product Testing and Initial User Feedback Harry asks for specific examples of tested hypotheses and whether user feedback was gathered broadly or in targeted niches. Eric details dogfooding methods and testing small user groups via Reddit before scaling.11:45–15:31 · Harry pushing back 1/10 The Y Combinator Application and Interview Experience Eric recounts applying to Y Combinator, noting that they were rejected on their first attempt before securing an interview on their second try. He describes the intense, rapid-fire nature of the 10-minute YC interview.15:31–19:28 · Harry pushing back 0/10 Overcoming Growth Bottlenecks with a Viral Referral Loop Harry asks about key inflection points and setbacks. Eric provides a deep dive into user trust and viral loops, explaining how shifting from a cash reward referral system to a mutual fee discount boosted weekly growth from 5% to 20%.19:29–24:05 · Harry pushing back 0/10 Quickfire Round: Books, Routine, Dinners, and Future Vision Harry runs through quickfire questions regarding favorite books, daily routines, guest speakers at YC, and future expansion plans. Eric answers collaboratively and wraps up with Paribus's future vision.

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

0:00 · Harry 78% · guest 22%0:00 · Harry 78% · guest 22%3:00 · Harry 5.7% · guest 94.3%3:00 · Harry 5.7% · guest 94.3%6:00 · Harry 16.1% · guest 83.9%6:00 · Harry 16.1% · guest 83.9%9:00 · Harry 16.4% · guest 83.6%9:00 · Harry 16.4% · guest 83.6%12:00 · Harry 8.7% · guest 91.3%12:00 · Harry 8.7% · guest 91.3%15:00 · Harry 6.5% · guest 93.5%15:00 · Harry 6.5% · guest 93.5%18:00 · Harry 3.9% · guest 96.1%18:00 · Harry 3.9% · guest 96.1%21:00 · Harry 8% · guest 92%21:00 · Harry 8% · guest 92%24:00 · Harry 92.6% · guest 7.4%24:00 · Harry 92.6% · guest 7.4%
Sharpest disagreement ▶ 6:48 Reframing slow execution as structured testing

Eric counters the implication that spending a year on an MVP is bad practice, clarifying that taking time is effective if tied to strict weekly experiment goals.

 Hardest push from Harry ▶ 6:36 Challenging the extended MVP timeframe

Harry directly challenges Eric on taking a full year to build an MVP, questioning whether fast-moving startups conquering markets in weeks have a superior approach.

 Biggest teaching moment ▶ 17:30 Explaining psychological viral mechanics

Eric educates the audience on growth mechanics, breaking down how re-engineering referral incentives to address consumer trust and fee anxiety transformed user growth.

 Harry holds his own ▶ 6:36 Framing startup speed standards

Harry showcases industry knowledge by contrasting standard venture expectations of rapid execution against Paribus's year-long validation period.
the scores for every segment, with the reasoning behind each
ChapterTopicHarry as informed peerGuest teachingGuest disagreementHarry pushing backWhy
Eric Glyman's Background and Paribus Aha Moment 1201 Harry prompts Eric for his background and career before founding Paribus. Eric shares his background in retail and corporate restructuring, detailing how reading contracts led to the insight that automated price adjustment claims could save consumers money.
Testing Early Hypotheses and Building a Scalable MVP 3213 Eric explains spending a year testing early hypotheses to build a simple MVP. Harry challenges whether taking an entire year was effective compared to the typical startup approach of rushing a product to market in weeks.
Iterative Product Testing and Initial User Feedback 2201 Harry asks for specific examples of tested hypotheses and whether user feedback was gathered broadly or in targeted niches. Eric details dogfooding methods and testing small user groups via Reddit before scaling.
The Y Combinator Application and Interview Experience 2311 Eric recounts applying to Y Combinator, noting that they were rejected on their first attempt before securing an interview on their second try. He describes the intense, rapid-fire nature of the 10-minute YC interview.
Overcoming Growth Bottlenecks with a Viral Referral Loop 1400 Harry asks about key inflection points and setbacks. Eric provides a deep dive into user trust and viral loops, explaining how shifting from a cash reward referral system to a mutual fee discount boosted weekly growth from 5% to 20%.
Quickfire Round: Books, Routine, Dinners, and Future Vision 1100 Harry runs through quickfire questions regarding favorite books, daily routines, guest speakers at YC, and future expansion plans. Eric answers collaboratively and wraps up with Paribus's future vision.

Statements from this episode (9)

Insight
Glyman: Retail sales rely heavily on consumer ignorance of promotion cycles
“What stuck with me over the years was every, every weekend, there'd be these super sales for 20% off. Families would come in, spend thousands of dollars, and what was weird was every Monday things would be 40% off, and it was rinse and repeat. You would push p…”
Eric Glyman Oct 2, 2015 ▶ 2:39
Assertion Not checkable as stated
Glyman: Email parsing outperformed receipt scanning for Paribus transaction data
“We realized to get this transaction information the most efficient way wasn't scanning a receipt. That was too much work. It wasn't a credit card statement. There wasn't enough information in there. We could do this in a big way just by email.”
Eric Glyman Oct 2, 2015 ▶ 5:56
Assertion Not checkable as stated
Glyman: Paribus spent a year testing hypotheses before building heavy infrastructure
“We spent about a year in that stage but it allowed us, when we were ready to build a serious infrastructure, to create a more elegant experience, to really know the landscape, build it the right way the first time”
Eric Glyman Oct 2, 2015 ▶ 6:13
Disclosure
Glyman: Paribus was rejected by Y Combinator with only ten users
“We didn't. The first time we applied, we had 10 people. So we tried it right away. That was great. I mean, it was a good process applying. Didn't even get an interview.”
Eric Glyman Oct 2, 2015 ▶ 12:06
Insight
Glyman: Y Combinator seeks simple transaction models that expand into broader visions
“And that from going to a simple thread to weaving a larger story and picture of business Is really, I think, a lot of what YC looks for.”
Eric Glyman Oct 2, 2015 ▶ 15:21
Assertion Not checkable as stated
Glyman: Paribus added over 10,000 users and grew 1,000% in May 2015
“Where we had had a huge month in May grown, you know, added 10,000 plus people grew a thousand percent in a month.”
Eric Glyman Oct 2, 2015 ▶ 15:57
Assertion Not checkable as stated
Glyman: Mutual fee discounts boosted Paribus sharing to 50% and growth to 20%
“Now over 50% of people share it, and that took our growth from five percent a week to 20 plus for weeks and weeks and weeks on end”
Eric Glyman Oct 2, 2015 ▶ 18:56
Assertion Partly supported
Glyman: 40% of all annual e-commerce sales occur in the fourth quarter
“The biggest time of the year for e-commerce, 40% of everything sold is going to happen in the next quarter.”
Eric Glyman Oct 2, 2015 ▶ 23:21
Assertion Supported
Glyman: Credit cards often provide price drop protections for 60 to 90 days
“Credit cards often they'll protect you for 60 to 90 days.”
Eric Glyman Oct 2, 2015 ▶ 23:44
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