Feb 12, 2025 · 54m · startup-ideas

I built a Cash Flowing Online Directory in 54 minutes (using Ahrefs and WordPress)

Frey Chu · 39m spoken Greg Isenberg · 6m spoken
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In this masterclass, Greg Isenberg and guest Frey Chu provide a step-by-step blueprint for building profitable, low-maintenance online directories using Ahrefs, web scraping, AI data enrichment, and WordPress. Through live examples and a dog park directory build, Frey demonstrates how non-technical creators can validate niches, automate data workflows, and generate reliable passive income.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Greg holds 14.2% of the talking time here. How this is scored →

Greg as informed peer 3.5 Guest teaching 5.3 Guest disagreement 0.4 Greg pushing back 0.6
05100:0015:0030:0045:001:01–3:25 · Greg as informed peer 3/10 Meeting Frey Chu and Setting the Masterclass Agenda Greg sets up the interview by introducing Frey and framing the masterclass on building passive income directories. Frey explains his background as a non-coder making consistent revenue from low-maintenance static directory sites.3:26–6:01 · Greg as informed peer 4/10 Directory Traffic Guessing Game: RoadsideAmerica.com Frey starts a guessing game with RoadsideAmerica.com, where Greg guesses 50k visitors based on its outdated design. Frey reveals it gets 85k monthly visitors and explains its resilient display ad revenue model.6:01–8:27 · Greg as informed peer 2/10 Introducing Atlas Obscura as an Off-the-Beaten-Path Directory Greg vastly underestimates Atlas Obscura at 35k monthly visits, and Frey schools him by revealing it pulls in millions of visits and tens of thousands in monthly AdSense revenue.8:27–12:17 · Greg as informed peer 6/10 Uncovering Traffic Giants: FindAGrave.com's Million-Visitor Empire Greg correctly estimates FindAGrave's traffic and steps in with strong strategic expertise, arguing that directories should be monetized through attached SaaS products rather than just display ads.12:18–16:47 · Greg as informed peer 3/10 Finding High-Intent Niches Using Ahrefs 'Near Me' Searches Frey details his systematic process for discovering niches using Ahrefs 'near me' search modifiers. He breaks down criteria for ruling out seasonal queries, difficult data sources, and single-intent corporate brands.16:47–23:34 · Greg as informed peer 4/10 Interpreting Keyword Difficulty and SEO Realities Greg asks what keyword difficulty threshold is viable, and Frey explains why KD metrics can be misleading and how to find weak competitors like Nylabone to target.23:34–27:33 · Greg as informed peer 3/10 Social Listening on Reddit to Validate User Pain Points Frey demonstrates qualitative validation using Reddit search to uncover hyper-specific user demands like dog runs in New York and specific amenity curation.27:33–33:57 · Greg as informed peer 4/10 Scraping Thousands of Google Maps Listings with Outscraper Frey walks through scraping Google Maps data via Outscraper using category matching. Greg asks how to clean junk data using LLMs, and Frey explains why manual pre-filtering is safer than relying purely on prompts.33:59–37:20 · Greg as informed peer 2/10 Data Cleaning and Extracting High-Value Amenity Patterns Frey teaches his method of analyzing Google Maps reviews to extract frequent amenity keywords such as water fountains, shade trees, and dog bags to build competitive differentiation.37:21–42:13 · Greg as informed peer 3/10 Automating Amenity Data Enrichment Using AI and Location URLs Frey demonstrates a custom tool he built that parses location URLs to automatically enrich datasets with amenity boolean values, teasing Greg about his Claude pronunciation along the way.42:14–48:12 · Greg as informed peer 3/10 Building a High-Ranking Static Pillar Page on WordPress Greg expresses surprise at Frey using WordPress, but Frey defends simple static pillar pages, explaining how long-form location pages capture thousands of keyword clusters and optimize display ad yield.48:12–52:32 · Greg as informed peer 5/10 The Value of Mailbox Money and Multi-Tiered Monetization Greg and Frey discuss monetization tiers, from low-maintenance mailbox money via display ads to high-upside plays like affiliate deals, lead magnets, and niche SaaS products.1:01–3:25 · Guest teaching 4/10 Meeting Frey Chu and Setting the Masterclass Agenda Greg sets up the interview by introducing Frey and framing the masterclass on building passive income directories. Frey explains his background as a non-coder making consistent revenue from low-maintenance static directory sites.3:26–6:01 · Guest teaching 4/10 Directory Traffic Guessing Game: RoadsideAmerica.com Frey starts a guessing game with RoadsideAmerica.com, where Greg guesses 50k visitors based on its outdated design. Frey reveals it gets 85k monthly visitors and explains its resilient display ad revenue model.6:01–8:27 · Guest teaching 7/10 Introducing Atlas Obscura as an Off-the-Beaten-Path Directory Greg vastly underestimates Atlas Obscura at 35k monthly visits, and Frey schools him by revealing it pulls in millions of visits and tens of thousands in monthly AdSense revenue.8:27–12:17 · Guest teaching 5/10 Uncovering Traffic Giants: FindAGrave.com's Million-Visitor Empire Greg correctly estimates FindAGrave's traffic and steps in with strong strategic expertise, arguing that directories should be monetized through attached SaaS products rather than just display ads.12:18–16:47 · Guest teaching 6/10 Finding High-Intent Niches Using Ahrefs 'Near Me' Searches Frey details his systematic process for discovering niches using Ahrefs 'near me' search modifiers. He breaks down criteria for ruling out seasonal queries, difficult data sources, and single-intent corporate brands.16:47–23:34 · Guest teaching 6/10 Interpreting Keyword Difficulty and SEO Realities Greg asks what keyword difficulty threshold is viable, and Frey explains why KD metrics can be misleading and how to find weak competitors like Nylabone to target.23:34–27:33 · Guest teaching 5/10 Social Listening on Reddit to Validate User Pain Points Frey demonstrates qualitative validation using Reddit search to uncover hyper-specific user demands like dog runs in New York and specific amenity curation.27:33–33:57 · Guest teaching 5/10 Scraping Thousands of Google Maps Listings with Outscraper Frey walks through scraping Google Maps data via Outscraper using category matching. Greg asks how to clean junk data using LLMs, and Frey explains why manual pre-filtering is safer than relying purely on prompts.33:59–37:20 · Guest teaching 6/10 Data Cleaning and Extracting High-Value Amenity Patterns Frey teaches his method of analyzing Google Maps reviews to extract frequent amenity keywords such as water fountains, shade trees, and dog bags to build competitive differentiation.37:21–42:13 · Guest teaching 6/10 Automating Amenity Data Enrichment Using AI and Location URLs Frey demonstrates a custom tool he built that parses location URLs to automatically enrich datasets with amenity boolean values, teasing Greg about his Claude pronunciation along the way.42:14–48:12 · Guest teaching 6/10 Building a High-Ranking Static Pillar Page on WordPress Greg expresses surprise at Frey using WordPress, but Frey defends simple static pillar pages, explaining how long-form location pages capture thousands of keyword clusters and optimize display ad yield.48:12–52:32 · Guest teaching 4/10 The Value of Mailbox Money and Multi-Tiered Monetization Greg and Frey discuss monetization tiers, from low-maintenance mailbox money via display ads to high-upside plays like affiliate deals, lead magnets, and niche SaaS products.1:01–3:25 · Guest disagreement 0/10 Meeting Frey Chu and Setting the Masterclass Agenda Greg sets up the interview by introducing Frey and framing the masterclass on building passive income directories. Frey explains his background as a non-coder making consistent revenue from low-maintenance static directory sites.3:26–6:01 · Guest disagreement 0/10 Directory Traffic Guessing Game: RoadsideAmerica.com Frey starts a guessing game with RoadsideAmerica.com, where Greg guesses 50k visitors based on its outdated design. Frey reveals it gets 85k monthly visitors and explains its resilient display ad revenue model.6:01–8:27 · Guest disagreement 0/10 Introducing Atlas Obscura as an Off-the-Beaten-Path Directory Greg vastly underestimates Atlas Obscura at 35k monthly visits, and Frey schools him by revealing it pulls in millions of visits and tens of thousands in monthly AdSense revenue.8:27–12:17 · Guest disagreement 1/10 Uncovering Traffic Giants: FindAGrave.com's Million-Visitor Empire Greg correctly estimates FindAGrave's traffic and steps in with strong strategic expertise, arguing that directories should be monetized through attached SaaS products rather than just display ads.12:18–16:47 · Guest disagreement 0/10 Finding High-Intent Niches Using Ahrefs 'Near Me' Searches Frey details his systematic process for discovering niches using Ahrefs 'near me' search modifiers. He breaks down criteria for ruling out seasonal queries, difficult data sources, and single-intent corporate brands.16:47–23:34 · Guest disagreement 1/10 Interpreting Keyword Difficulty and SEO Realities Greg asks what keyword difficulty threshold is viable, and Frey explains why KD metrics can be misleading and how to find weak competitors like Nylabone to target.23:34–27:33 · Guest disagreement 0/10 Social Listening on Reddit to Validate User Pain Points Frey demonstrates qualitative validation using Reddit search to uncover hyper-specific user demands like dog runs in New York and specific amenity curation.27:33–33:57 · Guest disagreement 1/10 Scraping Thousands of Google Maps Listings with Outscraper Frey walks through scraping Google Maps data via Outscraper using category matching. Greg asks how to clean junk data using LLMs, and Frey explains why manual pre-filtering is safer than relying purely on prompts.33:59–37:20 · Guest disagreement 0/10 Data Cleaning and Extracting High-Value Amenity Patterns Frey teaches his method of analyzing Google Maps reviews to extract frequent amenity keywords such as water fountains, shade trees, and dog bags to build competitive differentiation.37:21–42:13 · Guest disagreement 1/10 Automating Amenity Data Enrichment Using AI and Location URLs Frey demonstrates a custom tool he built that parses location URLs to automatically enrich datasets with amenity boolean values, teasing Greg about his Claude pronunciation along the way.42:14–48:12 · Guest disagreement 1/10 Building a High-Ranking Static Pillar Page on WordPress Greg expresses surprise at Frey using WordPress, but Frey defends simple static pillar pages, explaining how long-form location pages capture thousands of keyword clusters and optimize display ad yield.48:12–52:32 · Guest disagreement 0/10 The Value of Mailbox Money and Multi-Tiered Monetization Greg and Frey discuss monetization tiers, from low-maintenance mailbox money via display ads to high-upside plays like affiliate deals, lead magnets, and niche SaaS products.1:01–3:25 · Greg pushing back 0/10 Meeting Frey Chu and Setting the Masterclass Agenda Greg sets up the interview by introducing Frey and framing the masterclass on building passive income directories. Frey explains his background as a non-coder making consistent revenue from low-maintenance static directory sites.3:26–6:01 · Greg pushing back 0/10 Directory Traffic Guessing Game: RoadsideAmerica.com Frey starts a guessing game with RoadsideAmerica.com, where Greg guesses 50k visitors based on its outdated design. Frey reveals it gets 85k monthly visitors and explains its resilient display ad revenue model.6:01–8:27 · Greg pushing back 0/10 Introducing Atlas Obscura as an Off-the-Beaten-Path Directory Greg vastly underestimates Atlas Obscura at 35k monthly visits, and Frey schools him by revealing it pulls in millions of visits and tens of thousands in monthly AdSense revenue.8:27–12:17 · Greg pushing back 2/10 Uncovering Traffic Giants: FindAGrave.com's Million-Visitor Empire Greg correctly estimates FindAGrave's traffic and steps in with strong strategic expertise, arguing that directories should be monetized through attached SaaS products rather than just display ads.12:18–16:47 · Greg pushing back 0/10 Finding High-Intent Niches Using Ahrefs 'Near Me' Searches Frey details his systematic process for discovering niches using Ahrefs 'near me' search modifiers. He breaks down criteria for ruling out seasonal queries, difficult data sources, and single-intent corporate brands.16:47–23:34 · Greg pushing back 1/10 Interpreting Keyword Difficulty and SEO Realities Greg asks what keyword difficulty threshold is viable, and Frey explains why KD metrics can be misleading and how to find weak competitors like Nylabone to target.23:34–27:33 · Greg pushing back 0/10 Social Listening on Reddit to Validate User Pain Points Frey demonstrates qualitative validation using Reddit search to uncover hyper-specific user demands like dog runs in New York and specific amenity curation.27:33–33:57 · Greg pushing back 1/10 Scraping Thousands of Google Maps Listings with Outscraper Frey walks through scraping Google Maps data via Outscraper using category matching. Greg asks how to clean junk data using LLMs, and Frey explains why manual pre-filtering is safer than relying purely on prompts.33:59–37:20 · Greg pushing back 0/10 Data Cleaning and Extracting High-Value Amenity Patterns Frey teaches his method of analyzing Google Maps reviews to extract frequent amenity keywords such as water fountains, shade trees, and dog bags to build competitive differentiation.37:21–42:13 · Greg pushing back 1/10 Automating Amenity Data Enrichment Using AI and Location URLs Frey demonstrates a custom tool he built that parses location URLs to automatically enrich datasets with amenity boolean values, teasing Greg about his Claude pronunciation along the way.42:14–48:12 · Greg pushing back 2/10 Building a High-Ranking Static Pillar Page on WordPress Greg expresses surprise at Frey using WordPress, but Frey defends simple static pillar pages, explaining how long-form location pages capture thousands of keyword clusters and optimize display ad yield.48:12–52:32 · Greg pushing back 0/10 The Value of Mailbox Money and Multi-Tiered Monetization Greg and Frey discuss monetization tiers, from low-maintenance mailbox money via display ads to high-upside plays like affiliate deals, lead magnets, and niche SaaS products.

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

0:00 · Greg 48.3% · guest 51.7%0:00 · Greg 48.3% · guest 51.7%3:00 · Greg 19.1% · guest 80.9%3:00 · Greg 19.1% · guest 80.9%6:00 · Greg 36.6% · guest 63.4%6:00 · Greg 36.6% · guest 63.4%9:00 · Greg 30.3% · guest 69.7%9:00 · Greg 30.3% · guest 69.7%12:00 · Greg 0.4% · guest 99.6%12:00 · Greg 0.4% · guest 99.6%15:00 · Greg 3.1% · guest 96.9%15:00 · Greg 3.1% · guest 96.9%18:00 · Greg 13.1% · guest 86.9%18:00 · Greg 13.1% · guest 86.9%21:00 · Greg 0% · guest 100%21:00 · Greg 0% · guest 100%24:00 · Greg 3.3% · guest 96.7%24:00 · Greg 3.3% · guest 96.7%27:00 · Greg 8% · guest 92%27:00 · Greg 8% · guest 92%30:00 · Greg 15.6% · guest 84.4%30:00 · Greg 15.6% · guest 84.4%33:00 · Greg 0% · guest 100%33:00 · Greg 0% · guest 100%36:00 · Greg 0% · guest 100%36:00 · Greg 0% · guest 100%39:00 · Greg 0.4% · guest 99.6%39:00 · Greg 0.4% · guest 99.6%42:00 · Greg 1.6% · guest 98.4%42:00 · Greg 1.6% · guest 98.4%45:00 · Greg 0% · guest 100%45:00 · Greg 0% · guest 100%48:00 · Greg 52.9% · guest 47.1%48:00 · Greg 52.9% · guest 47.1%51:00 · Greg 24.3% · guest 75.7%51:00 · Greg 24.3% · guest 75.7%54:00 · Greg 0% · guest 0%54:00 · Greg 0% · guest 0%
Sharpest disagreement ▶ 30:52 Frey warns against relying solely on AI for data parsing

When Greg suggests letting ChatGPT or Claude clean junk data, Frey directly cautions that AI often dumps valuable listings without manual checks.

Hardest push from Greg ▶ 42:20 Greg expresses disbelief at using WordPress

Greg immediately pushes back on Frey's technology stack choice, expecting modern tools like Framer rather than basic WordPress.

Biggest teaching moment ▶ 7:15 Revealing Atlas Obscura's massive hidden scale

Frey completely overturns Greg's low traffic guess of 35k visits by demonstrating that Atlas Obscura pulls in millions of monthly visitors.

Greg holds their own ▶ 10:23 Greg articulates the SaaS-on-directories monetization thesis

Greg asserts his own venture expertise by arguing that simple AdSense monetization leaves substantial enterprise value on the table compared to launching targeted software products.

the scores for every segment, with the reasoning behind each
ChapterTopicGreg as informed peerGuest teachingGuest disagreementGreg pushing backWhy
Meeting Frey Chu and Setting the Masterclass Agenda 3400 Greg sets up the interview by introducing Frey and framing the masterclass on building passive income directories. Frey explains his background as a non-coder making consistent revenue from low-maintenance static directory sites.
Directory Traffic Guessing Game: RoadsideAmerica.com 4400 Frey starts a guessing game with RoadsideAmerica.com, where Greg guesses 50k visitors based on its outdated design. Frey reveals it gets 85k monthly visitors and explains its resilient display ad revenue model.
Introducing Atlas Obscura as an Off-the-Beaten-Path Directory 2700 Greg vastly underestimates Atlas Obscura at 35k monthly visits, and Frey schools him by revealing it pulls in millions of visits and tens of thousands in monthly AdSense revenue.
Uncovering Traffic Giants: FindAGrave.com's Million-Visitor Empire 6512 Greg correctly estimates FindAGrave's traffic and steps in with strong strategic expertise, arguing that directories should be monetized through attached SaaS products rather than just display ads.
Finding High-Intent Niches Using Ahrefs 'Near Me' Searches 3600 Frey details his systematic process for discovering niches using Ahrefs 'near me' search modifiers. He breaks down criteria for ruling out seasonal queries, difficult data sources, and single-intent corporate brands.
Interpreting Keyword Difficulty and SEO Realities 4611 Greg asks what keyword difficulty threshold is viable, and Frey explains why KD metrics can be misleading and how to find weak competitors like Nylabone to target.
Social Listening on Reddit to Validate User Pain Points 3500 Frey demonstrates qualitative validation using Reddit search to uncover hyper-specific user demands like dog runs in New York and specific amenity curation.
Scraping Thousands of Google Maps Listings with Outscraper 4511 Frey walks through scraping Google Maps data via Outscraper using category matching. Greg asks how to clean junk data using LLMs, and Frey explains why manual pre-filtering is safer than relying purely on prompts.
Data Cleaning and Extracting High-Value Amenity Patterns 2600 Frey teaches his method of analyzing Google Maps reviews to extract frequent amenity keywords such as water fountains, shade trees, and dog bags to build competitive differentiation.
Automating Amenity Data Enrichment Using AI and Location URLs 3611 Frey demonstrates a custom tool he built that parses location URLs to automatically enrich datasets with amenity boolean values, teasing Greg about his Claude pronunciation along the way.
Building a High-Ranking Static Pillar Page on WordPress 3612 Greg expresses surprise at Frey using WordPress, but Frey defends simple static pillar pages, explaining how long-form location pages capture thousands of keyword clusters and optimize display ad yield.
The Value of Mailbox Money and Multi-Tiered Monetization 5400 Greg and Frey discuss monetization tiers, from low-maintenance mailbox money via display ads to high-upside plays like affiliate deals, lead magnets, and niche SaaS products.

Statements from this episode (20)

Disclosure
Chu: First directory generates $2,300 monthly with 15 minutes of maintenance
“At least for my first directory website, it's been monetizing for 18 months straight. It's it takes me, you know, about 15 minutes a month to maintain, so it's evergreen and location based which is my favorite kind of directory to build. Last month I think it …”
Frey Chu Feb 12, 2025 ▶ 1:52
Opinion
Chu estimates RoadsideAmerica makes $5K to $7K monthly from ads
“If I were to guess how much this is making, I would probably conservatively say five to 7000 a month. Very passively because of the display ads.”
Frey Chu Feb 12, 2025 ▶ 5:36
Assertion Supported
Chu: Atlas Obscura shows little effect from Google core updates
“Also noticing very little to no effect from the Google core updates.”
Frey Chu Feb 12, 2025 ▶ 7:33
Opinion
Chu estimates Atlas Obscura earns $50k to $60k monthly from AdSense
“If I were to guess how much this is making, I think a really conservative guess just from AdSense is around 30,000 dollars a month, but I really think it's probably closer to 50 or 60.”
Frey Chu Feb 12, 2025 ▶ 7:51
Opinion
Chu estimates FindAGrave.com makes $60,000 to $70,000 monthly
“This is, I'm going to put this, I think this could be a 100,000 dollar a month website, but I think, you know, 60, 70 K like is a very fair estimate here.”
Frey Chu Feb 12, 2025 ▶ 9:56
Insight
Isenberg: Build SaaS on top of directories to capture SaaS valuation multiples
“I think people are monetizing directories wrong. Like they're just putting AdSense. We saw one example of someone literally selling a book. The opportunity is actually to build software on top of these directories. So you use directories to get the traffic. Yo…”
Greg Isenberg Feb 12, 2025 ▶ 10:36
Disclosure
Chu: Target 30k to 100k monthly searches for niche directory keywords
“My sweet spot is actually around 30 to a 100,000 monthly searches.”
Frey Chu Feb 12, 2025 ▶ 13:20
Insight
Chu: Avoid branded 'near me' keywords because search intent is one-dimensional
“People looking for Taco Bell near me in Google aren't looking for different types of Taco Bell. There's like very one dimensional search intent, and that's not what I'm looking for.”
Frey Chu Feb 12, 2025 ▶ 14:48
Assertion Supported
Chu: 'Dog park near me' has 73k monthly searches and 27 keyword difficulty
“Dog park near me. This is one that I found using that exact same method and get 73,000 monthly visitors or searches, I should say, and not too difficult at 27 out of a hundred in terms of keyword difficulty.”
Frey Chu Feb 12, 2025 ▶ 15:21
Insight
Chu: Ahrefs keyword difficulty scores under 20 are easy but often misleading
“I think anything under 20 is pretty easy, in my opinion. I think keyword difficulty is a little bit misleading too, because there are some very low keyword difficulty niches. And I'll give you a quick example. It says that, you know, fast food near me is a key…”
Frey Chu Feb 12, 2025 ▶ 16:48
Assertion Not checkable as stated
Chu ranked KD 70 directory keywords on Google's first page in two months
“I've had some like programmatic directories that I've built where I've targeted keyword difficulty, 70 keywords that are getting 60,000 monthly visitors. And I've created like on a fresh domain, I was able to rank on the first page in like two months for some …”
Frey Chu Feb 12, 2025 ▶ 17:49
Insight
Chu: Traffic to basic directories shows Google Maps fails user needs
“Pretty unhelpful, yet people are going to websites like this, and it just shows you that Google Maps is not satisfying everyone's needs.”
Frey Chu Feb 12, 2025 ▶ 21:09
Insight
Chu: Filtering raw scraped data directly with ChatGPT removes good listings
“I've noticed that it can get rid of a lot of the good quality listings if you Just go straight into ChatGBT and have it remove what it doesn't think a dog park is, if that makes sense.”
Frey Chu Feb 12, 2025 ▶ 31:27
Insight
Chu: Scraping exact-match Google categories minimizes directory data cleaning
“Because we do have that exact match category in Google, we don't have to do too much cleaning.”
Frey Chu Feb 12, 2025 ▶ 34:48
Insight
Chu: Deep data enrichment drives repeat traffic to niche directory websites
“There are some opportunities, even with the most dominant dog park directories where I'm like, yeah, this data enrichment is going to be what sets me apart. And it's going to be what brings people back to the website because I went so deep to list all this inf…”
Frey Chu Feb 12, 2025 ▶ 41:46
Insight
Chu: Location category pages drive most directory SEO traffic, not listings
“All of their most traffic pages are the location pages. So dog friendly restaurant, New York. Pet friendly hotels in Dallas. It's not necessarily the actual listings that are getting traffic.”
Frey Chu Feb 12, 2025 ▶ 45:51
Assertion Not checkable as stated
Chu: One state page on first directory ranked for 1,300 keywords
“So with my first directory, one of my state pages will rank for like, 1300 keywords. And it's because I'm targeting all of these kind of city specific keywords here.”
Frey Chu Feb 12, 2025 ▶ 47:21
Prediction Not checkable as stated
Chu: Simple static pillar page directories can reach $2K–$10K MRR
“Again, very, very basic level one of directories, but amazing if you just want to dip your feet in, in the water and you know, get to, I would say like two to two to 10 K in MRR is definitely possible.”
Frey Chu Feb 12, 2025 ▶ 47:41
Assertion Supported
Isenberg: The Farmer's Dog generates $500M in annual revenue
“The farmer's dog, which does five hundred million dollars a year in revenue.”
Greg Isenberg Feb 12, 2025 ▶ 49:20
Assertion Supported
Chu: Pet DNA kit startup exited for $90M on $3M-$4M revenue
“They, I think we're only doing like three or four million in revenue, but they got acquired for like ninety million.”
Frey Chu Feb 12, 2025 ▶ 51:20
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