
A commerce platform that lets merchants build online stores and sell to customers.
Shopify has banned static PowerPoint and Keynote product presentations for about two years, requiring every one to be a working demo, and it publicly said it still loves junior talent. Its team also found about a third of A/B test effects vanished against a later holdout group. Lesson: judge ideas by working product, keep hiring juniors, and verify small test wins.
From Cohen on Lenny's Podcast
Shopify requires a working demo instead of slides for every product presentation. Shopify has banned static PowerPoint and Keynote product presentations for over two years. Every presentation must be a working demo, and executives refuse to look at descriptions of features that don't yet work.
Rabois offers this as evidence for replacing year-long roadmaps with fast noticing and exploiting of new model capabilities, since things impossible in November are easy by March. He also argues conventional PMs as intermediaries make less sense: "the idea of a PM makes no sense basically in the future."
Shopify says it still loves junior talent despite the shift to AI. Shopify publicly said it still loves junior talent. This is cited in support of the case against never hiring juniors again.
The argument is that juniors can be very productive fast if taught the AI-native way on day one. They have no bias against AI coding tools, and strong CS grads are more available as big companies cut hiring. Mix them with experienced people. Quote: "they can come in and like crush way beyond their years if you're willing to do like AI native onboarding for them".
Shopify found about a third of A/B test effects vanished against a holdout. Shopify's team checked test effects later against a holdout group and found that about a third of them disappeared.
Cohen uses this to argue against routine A/B tests of small details. Real wins are rare, so most positive results are false positives even with 95% accurate tools, and teams can stack winners for a year and see no change in conversion. Lenny notes it can still pay off at millions-of-users scale. Quote: "AB testing doesn't work very well and it doesn't work on most things."
Lütke nearly broke it by acting like a conventional public-company CEO after the IPO, then cancelled about 60% of projects in COVID reviews and replaced every executive within a year. He built Shopify OS to model the company (5,500 titles across 8,000 people), lets staff pick their pay mix, and went public in 2015 at roughly a $1 to 1.5 billion valuation. The stock later fell 80% after trading above 50 times revenue.
Shopify requires a working demo instead of slides for every product presentation. Shopify has banned static PowerPoint and Keynote product presentations for over two years. Every presentation must be a working demo, and executives refuse to look at descriptions of features that don't yet work.
Rabois offers this as evidence for replacing year-long roadmaps with fast noticing and exploiting of new model capabilities, since things impossible in November are easy by March. He also argues conventional PMs as intermediaries make less sense: "the idea of a PM makes no sense basically in the future."
Powers about 10% of US e-commerce and $235B of global GMV. Judges growth by total cohort GMV over years, keeps long holdouts on every experiment, bans KPIs in core product, and has no CMO.
Shopify says it still loves junior talent despite the shift to AI. Shopify publicly said it still loves junior talent. This is cited in support of the case against never hiring juniors again.
The argument is that juniors can be very productive fast if taught the AI-native way on day one. They have no bias against AI coding tools, and strong CS grads are more available as big companies cut hiring. Mix them with experienced people. Quote: "they can come in and like crush way beyond their years if you're willing to do like AI native onboarding for them".
Davis has led its performance marketing for two and a half years. Shopify runs ads on disruptive feeds like Meta, has staff dedicated to mobile, and builds attribution in-house.
Shopify found about a third of A/B test effects vanished against a holdout. Shopify's team checked test effects later against a holdout group and found that about a third of them disappeared.
Cohen uses this to argue against routine A/B tests of small details. Real wins are rare, so most positive results are false positives even with 95% accurate tools, and teams can stack winners for a year and see no change in conversion. Lenny notes it can still pay off at millions-of-users scale. Quote: "AB testing doesn't work very well and it doesn't work on most things."
Luc is Chief Growth Officer here, and the company focuses on impact like Facebook does. Toby spent over ten years recruiting Luc, and Shopify's shop.ai AI shopping engine is one Luc buys through a lot.
CEO Tobi Lütke builds with AI himself and runs six to eight months ahead of other CEOs. At night he tries to rebuild Shopify from scratch with current technology.
It has 7,000 people and handles problems tied to 15% of world e-commerce. Its internal AI tools, like Scout and River, are better than anything commercial and pushed DHH to catch up on AI.
Its CEO Tobi Lütke removed Norman doors from offices because bad design falls below his engineering standard. Glyman shares his view on spotting top talent and making entrepreneurship more accessible.
Shopify has banned static PowerPoint and Keynote product presentations for over two years. Every presentation must be a working demo, and executives refuse to look at descriptions of features that don't yet work.
Publicly said it still loves junior talent, supporting the case against never hiring juniors again.
Its team found about a third of A/B test effects disappeared when checked later against a holdout group.
Lovable's growth team built a Shopify integration for storefronts as a core feature. A self-taught chief of staff also built Shopify templates for Lovable's partnership.
First-time store owners often don't know reports exist, which kinds, or how to tweak them, illustrating comprehension failures. Shop Pay is cited as making Butterfield far more likely to buy.
Cited as a company that measures real AI adoption and usage to stay close to the ground. Balfour thinks it may be the one that benchmarked team sizes and capped hiring until AI was shown unable to do the work.
Early Shopify is the example of product-led growth fitting small business software, because sole proprietors do everything.
Latchet's top competitor: it still leaves artisans to do their own marketing.
Its CEO Tobi Lutke was an early MCP champion and gave Lenny the same answer on kids' skills: curiosity.
Its growth head reported that about 40% of positive experiments turn neutral over time, and it keeps long-term holdouts and re-checks them.
Its site shows a visible start-free-trial option and a plain tagline, 'making commerce better for everyone'. It also asks many onboarding questions, then aims marketing at the best-converting group.
Its customer service teams of about ten were modelled on sports sides and were extraordinarily happy and motivated, despite being less lean than one manager per 100 people.
Its sign-up flow drops the navigation, shows a progress bar and social proof, and asks easy questions before account creation. It follows onboarding with a $1 a month trial extension, and its homepage likely tests 'start free trial' against 'get started' and 'learn more'.
Over a million lines of Shopify's code base were written by Copilot, more than one engineer writes in a lifetime.
Its plans differ by benefits such as the number of inventory locations. Shopify Plus used the tagline 'fair pricing, unfair advantage'.
Cited as a big brand that skips keywords in its Google Play developer name, where a pattern like 'Shopify Inc - your keywords' would help ranking. Its name also appears in the example package name com.shopify.logomaker.
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