
Founder and CEO of Margins, a reading and book tracking app
Paul Warren is the founder and CEO of Margins, a reading and book tracking app that grew to hundreds of thousands of readers with a 4.9 rating across about 21,000 ratings. The most useful thing to learn from him is to spend a year on the data foundation and craft, then launch to the real mainstream audience, while staying honest that monetization is still unproven.
you need to be good enough at all three aspects of the business and S tier in at least one of them.
How Margins Built a Viral Reading App
Warren became an extreme reader because his mom bribed him with pizza. His mom read him Harry Potter in first grade, bribing him with pizza to sit still. Halfway through she slammed the book shut and told him to read the rest himself.
He now reads a couple hundred books a year, about three hours a day. He calls it an addiction rather than a good ROI.
Margins started from his irritation at Amazon's recommendations. He bought a book on Amazon, read it on Kindle and tracked it on Goodreads. The next-read suggestion on Amazon and Goodreads was the book he had just finished.
His reaction was "you're all owned by Amazon like you know what I read".
Margins is Warren's third company, after years as an engineer. He began as a machine learning and software engineer and sometimes disagreed with decisions made above him. Two earlier ventures had small successes.
After eight years of nomading around the world and working at other companies, he found he loves building startups in Silicon Valley.
He designed Margins to replace a reading life patched across many apps. His own stack was Goodreads to track, Kindle and some Audible to read, Apple Notes for notes, and Reddit, friends and Amazon to find books. Readers spread their lives across 5 to 10 apps that don't work together.
His design prompt was to imagine these apps run by Apple, with ecosystem integration. Margins puts tracking, notes, reading, social and discovery under one roof.
Warren spent a year on the data foundation before launch. He built a proprietary book catalog from a couple billion data points, deduplicated and consolidated, over about a year to a year and a half. He made the work, not the edition, the core unit, since Dune alone has about 600 editions.
Other book startups now pay to license the metadata instead of using free options like Google Books. He did it himself, drawing on his machine learning background. "The foundation for basically every book activity that you're interested in is book tracking."
Warren let each user track only the fields they care about. He avoided add forms with 17 boxes that feel like a doctor's office. Hundreds of thousands of people track differently and it still feels natural.
This took a year of design and data model work. Personalized picks, stats and friends' activity all depend on that tracked data.
He bet on craftsmanship in a two-decade-old category nobody had polished. Warren took the Linear and Superhuman approach to a space full of apps. The timeline was eight months of research and funding, then a year heads down with a designer and an engineer.
In that year only about 30 people tried the app, mostly friends and family. The cycle was a few weeks of building, two testers taking notes, then two more weeks of building.
Warren mined Reddit's busiest subreddit for the vibe search feature. r/suggestmeabook has a few million members and is among the 30 most active subreddits. Posts are fuzzy requests like a nasty breakup or a trip to Portugal.
Tracking data personalizes the results using what the user read, loved or rated low. His question was "how can I turn that into a feature".
He skipped tech early adopters and aimed at mainstream readers. Warren pictured a 28-year-old realtor in North Carolina who highlights, has stickers on her Kindle and reads spicy romance. Gallup finds 6 to 8% of American adults, about 20 million, read at least a book a week.
The team avoided its personal networks, Twitter and tech circles. "We just went straight to like the actual readers that are out there."
Warren swapped the tacky rating prompt for a lamp Easter egg. Tapping a lamp at the bottom of the home tab turns on a light with a switch click, with the rating ask beside it. It brought in probably thousands of ratings, and hundreds of reviews mention the lamp.
His thinking was "let's just add an Easter egg and manufacture that moment of delight".
Warren timed the launch to the New Year reading wave. Reading more is one of the top two resolutions, so he planned to launch around December 20 with whatever the app had. He only thought about marketing around December 15.
"We cannot afford to miss this wave." Timing mattered more than polish.
A couple thousand dollars of influencer spend produced the first viral hit. The first post got 1.4 million views, 100,000 likes, 60,000 bookmarks and 20,000 shares, and about 60,000 downloads came in the first 10 to 12 days. USA Today and Book Riot followed.
The next year he spent about $20,000 on influencers, but the viral hit came from a user's post on X. The team never found a marketing or growth hire.
He fit each content format to how the app looks on camera. Margins is calm and cozy, so short screen recordings don't work on TikTok. The videos that worked were a person talking for about 2 minutes about the best app for readers.
On X, illustrated recaps drive sharing, and two human illustrators design them. A 2025 wrapped post from users got about 3 million views organically.
Word of mouth has been Margins' most consistent growth source. After the first launch the team did no marketing for four or five months and still grew daily, staying in the top 200 of its category. Users tell their book club, sister, kids or class.
Fostering referrals is a 2026 goal, though Warren has no plan yet. He had not thought of the book club angle, which Fable built its product around.
Apple's App of the Day barely moved downloads. The US feature on Tuesday, December 16th produced about three days of normal downloads. The Australia and New Zealand feature on January 2nd was the best download day ever.
The difference was seasonality: the second date fell in the New Year's resolution rush. "App of the day basically did nothing download wise for us."
Viral users have retained as well as or better than normal users. Warren compared the growth graph and retention curves at every spike, including word of mouth, influencer videos, sharables and App of the Day. Each matched or beat the non-spikes.
He thinks reading takes real motivation, so the people who arrive tend to be committed. He says he has never seen the usual pattern of viral users who don't stay.
Warren regrets having no boost plan ready when a post went viral. He had planned a TikTok Spark Code, but the hit came on Twitter and he didn't know how to boost anything there.
His lesson is to have the paid amplification process ready for each platform before a spike. "I regret this. This is silly."
Warren says a consumer business needs three strengths, with one at the top. He judges acquisition, retention and monetization. Margins is reasonably good at acquisition and retention, very bad at monetization, and he says it has not hit product market fit.
Growth has been steady, unlike apps that jump from zero to millions at once.
He ranks retention first, acquisition second and monetization third. For two years the work has been fixing product gaps that drive negative reviews. Monetization matters more once a marketing hire has a budget and a dollar of spend can return a dollar of revenue.
There are no paid ads beyond influencers and no steady marketing budget. He plans to hire a marketing person.
His only paywall is a soft ask shown once in onboarding. It took about five minutes to design and says in effect to subscribe because you love us. Many people subscribed anyway, and some later messaged to ask how to subscribe.
No features are members-only. Several users independently asked for a one-time tip jar instead of a subscription.
Warren plans cosmetic paid extras and keeps core features free. Paid features would be things like streak freezes, streak rescue and profile cosmetics. Core features stay free so social growth isn't blocked.
At current conversion, hitting this year's user goals would roughly break even. Money is "certainly not the top priority" this year.
The bigger bet is a buy button where Margins takes a cut. Warren's sequence is to build an app readers love, then monetize the audience of hundreds of thousands. Ebooks and audiobooks would come later.
The buy button is untested. It could earn far more from heavy buyers than one subscription tier.
He keeps AI minimal because book readers punish it. Readers often ask how to turn AI off, and apps with obvious AI features get cancelled and flooded with bad reviews. Margins uses the least AI of the book apps and doesn't label features as AI.
Warren expects sentiment to fade once AI is common enough to go unnamed, as with spell checkers.
Warren's biggest worry is drifting from a venture-scale business. He loves using the product several times a day and admits it is easy to build "for me myself and I". He would shift attention toward growth and monetization.
Paul Warren explains how Margins spent a year building its own book catalog and tracker, then launched on BookTok and went viral twice with almost no marketing plan. The app reached hundreds of thousands of readers, with a 4.9 rating across about 21,000 ratings, while monetization stayed light by design.
Warren became an extreme reader because his mom bribed him with pizza. His mom read him Harry Potter in first grade, bribing him with pizza to sit still. Halfway through she slammed the book shut and told him to read the rest himself.
He now reads a couple hundred books a year, about three hours a day. He calls it an addiction rather than a good ROI.
Margins started from his irritation at Amazon's recommendations. He bought a book on Amazon, read it on Kindle and tracked it on Goodreads. The next-read suggestion on Amazon and Goodreads was the book he had just finished.
His reaction was "you're all owned by Amazon like you know what I read".
Margins is Warren's third company, after years as an engineer. He began as a machine learning and software engineer and sometimes disagreed with decisions made above him. Two earlier ventures had small successes.
After eight years of nomading around the world and working at other companies, he found he loves building startups in Silicon Valley.
He designed Margins to replace a reading life patched across many apps. His own stack was Goodreads to track, Kindle and some Audible to read, Apple Notes for notes, and Reddit, friends and Amazon to find books. Readers spread their lives across 5 to 10 apps that don't work together.
His design prompt was to imagine these apps run by Apple, with ecosystem integration. Margins puts tracking, notes, reading, social and discovery under one roof.
Warren spent a year on the data foundation before launch. He built a proprietary book catalog from a couple billion data points, deduplicated and consolidated, over about a year to a year and a half. He made the work, not the edition, the core unit, since Dune alone has about 600 editions.
Other book startups now pay to license the metadata instead of using free options like Google Books. He did it himself, drawing on his machine learning background. "The foundation for basically every book activity that you're interested in is book tracking."
Warren let each user track only the fields they care about. He avoided add forms with 17 boxes that feel like a doctor's office. Hundreds of thousands of people track differently and it still feels natural.
This took a year of design and data model work. Personalized picks, stats and friends' activity all depend on that tracked data.
He bet on craftsmanship in a two-decade-old category nobody had polished. Warren took the Linear and Superhuman approach to a space full of apps. The timeline was eight months of research and funding, then a year heads down with a designer and an engineer.
In that year only about 30 people tried the app, mostly friends and family. The cycle was a few weeks of building, two testers taking notes, then two more weeks of building.
Warren mined Reddit's busiest subreddit for the vibe search feature. r/suggestmeabook has a few million members and is among the 30 most active subreddits. Posts are fuzzy requests like a nasty breakup or a trip to Portugal.
Tracking data personalizes the results using what the user read, loved or rated low. His question was "how can I turn that into a feature".
He skipped tech early adopters and aimed at mainstream readers. Warren pictured a 28-year-old realtor in North Carolina who highlights, has stickers on her Kindle and reads spicy romance. Gallup finds 6 to 8% of American adults, about 20 million, read at least a book a week.
The team avoided its personal networks, Twitter and tech circles. "We just went straight to like the actual readers that are out there."
Warren swapped the tacky rating prompt for a lamp Easter egg. Tapping a lamp at the bottom of the home tab turns on a light with a switch click, with the rating ask beside it. It brought in probably thousands of ratings, and hundreds of reviews mention the lamp.
His thinking was "let's just add an Easter egg and manufacture that moment of delight".
Warren timed the launch to the New Year reading wave. Reading more is one of the top two resolutions, so he planned to launch around December 20 with whatever the app had. He only thought about marketing around December 15.
"We cannot afford to miss this wave." Timing mattered more than polish.
A couple thousand dollars of influencer spend produced the first viral hit. The first post got 1.4 million views, 100,000 likes, 60,000 bookmarks and 20,000 shares, and about 60,000 downloads came in the first 10 to 12 days. USA Today and Book Riot followed.
The next year he spent about $20,000 on influencers, but the viral hit came from a user's post on X. The team never found a marketing or growth hire.
He fit each content format to how the app looks on camera. Margins is calm and cozy, so short screen recordings don't work on TikTok. The videos that worked were a person talking for about 2 minutes about the best app for readers.
On X, illustrated recaps drive sharing, and two human illustrators design them. A 2025 wrapped post from users got about 3 million views organically.
Word of mouth has been Margins' most consistent growth source. After the first launch the team did no marketing for four or five months and still grew daily, staying in the top 200 of its category. Users tell their book club, sister, kids or class.
Fostering referrals is a 2026 goal, though Warren has no plan yet. He had not thought of the book club angle, which Fable built its product around.
Apple's App of the Day barely moved downloads. The US feature on Tuesday, December 16th produced about three days of normal downloads. The Australia and New Zealand feature on January 2nd was the best download day ever.
The difference was seasonality: the second date fell in the New Year's resolution rush. "App of the day basically did nothing download wise for us."
Viral users have retained as well as or better than normal users. Warren compared the growth graph and retention curves at every spike, including word of mouth, influencer videos, sharables and App of the Day. Each matched or beat the non-spikes.
He thinks reading takes real motivation, so the people who arrive tend to be committed. He says he has never seen the usual pattern of viral users who don't stay.
Warren regrets having no boost plan ready when a post went viral. He had planned a TikTok Spark Code, but the hit came on Twitter and he didn't know how to boost anything there.
His lesson is to have the paid amplification process ready for each platform before a spike. "I regret this. This is silly."
Warren says a consumer business needs three strengths, with one at the top. He judges acquisition, retention and monetization. Margins is reasonably good at acquisition and retention, very bad at monetization, and he says it has not hit product market fit.
Growth has been steady, unlike apps that jump from zero to millions at once.
He ranks retention first, acquisition second and monetization third. For two years the work has been fixing product gaps that drive negative reviews. Monetization matters more once a marketing hire has a budget and a dollar of spend can return a dollar of revenue.
There are no paid ads beyond influencers and no steady marketing budget. He plans to hire a marketing person.
His only paywall is a soft ask shown once in onboarding. It took about five minutes to design and says in effect to subscribe because you love us. Many people subscribed anyway, and some later messaged to ask how to subscribe.
No features are members-only. Several users independently asked for a one-time tip jar instead of a subscription.
Warren plans cosmetic paid extras and keeps core features free. Paid features would be things like streak freezes, streak rescue and profile cosmetics. Core features stay free so social growth isn't blocked.
At current conversion, hitting this year's user goals would roughly break even. Money is "certainly not the top priority" this year.
The bigger bet is a buy button where Margins takes a cut. Warren's sequence is to build an app readers love, then monetize the audience of hundreds of thousands. Ebooks and audiobooks would come later.
The buy button is untested. It could earn far more from heavy buyers than one subscription tier.
He keeps AI minimal because book readers punish it. Readers often ask how to turn AI off, and apps with obvious AI features get cancelled and flooded with bad reviews. Margins uses the least AI of the book apps and doesn't label features as AI.
Warren expects sentiment to fade once AI is common enough to go unnamed, as with spell checkers.
Warren's biggest worry is drifting from a venture-scale business. He loves using the product several times a day and admits it is easy to build "for me myself and I". He would shift attention toward growth and monetization.