About Fastshot for Shopify
Behavior-driven mobile apps that turn one-time buyers into repeat customers — built by engineers from Google and Cisco.
Fastshot began with a question about who gets to build software. Its founders — Dmitry, Elvira, and Alexander — had spent years inside Google and Cisco building the AI and infrastructure that put serious machine learning in the hands of ordinary developers. In 2025 they left to close the gap between what AI could build for a trillion-dollar company and what it could build for everyone else: an AI that writes a production mobile app from a plain-language description, in hours instead of months.
Then we pointed that capability at one of the most expensive problems in commerce.
The problem we kept hearing
Every Shopify brand we talked to told a version of the same story. A good product. A decent first-purchase rate. And a retention curve that had quietly gone flat. Acquisition kept getting more expensive, first-order margins kept thinning, and the customers who bought once mostly never came back. The standard response — more email, more SMS, more discounts — had stopped moving the number, because those are communication tools, and the problem was never communication.
Customers don't churn because you reminded them too little. They churn because they stop using the product. The brands whose customers reorder are the ones whose customers built a routine around what they bought — they use it, they run low, they restock, often without being asked.
Retention, in other words, is a product problem. And a product problem needs a product: an app built around how a brand's product actually gets used — guiding the routine, making progress visible, and triggering the reorder at the moment of real need.
Why this didn't exist before
That kind of app has always been possible. It just wasn't available. Building a custom, behavior-driven app meant a dev team and months of work. The off-the-shelf builders offered the alternative: drag your catalog into a template and ship a mobile storefront — your website in an app, with none of the behavior. Brands were left choosing between a project they couldn't afford and a product that wouldn't move the metric.
Fastshot removes that choice. Because our AI generates a real, production-grade app from a brand's own store, every brand gets a custom retention app — built around its category's usage loop, not a template — in days, with no engineering team.
What we believe
Retention is a product problem, not a marketing one. The repeat purchase is the output of a loop: usage → habit → reorder. Customers come back when they use the product consistently, build a routine around it, and can see it working — not when they're reminded more often or discounted more deeply. Everything we build starts there.
What we build
A behavior-driven mobile app for your Shopify store — a full native storefront on iOS and Android, wired into the retention loop your category needs:
- A routine or protocol builder mapped to how your product is actually used
- Usage tracking, with progress and streaks that reinforce the habit
- Smart reorder triggers tied to real depletion, not a generic calendar
- Push notifications driven by behavior, not blasts
- One-tap checkout via Shop Pay
You drop in your store URL, and Fastshot generates a working preview of your app — your products, your branding, your storefront, wired into the loop — in 48 hours. No setup, no engineering, no commitment.
Why we can build it
Most retention apps are one of two things: a custom project you pay a team to build, or a template that only looks like an app. Fastshot is neither. The same AI that writes production React Native and Expo apps across the broader Fastshot platform generates a real, extensible app for each brand — which is why a custom retention app can take days instead of months, at a fraction of the cost of an engineering hire.
Between us, the team has spent more than two decades building production AI and infrastructure at Google and Cisco — systems that serve hundreds of millions of users a day. Fastshot is a Y Combinator company (F25), founded in San Francisco in 2025.
The team
Dmitry Fatkhi — Co-founder & CEO. Dmitry spent nine years building infrastructure at Cisco and Google for products serving hundreds of millions of users. At Google, he worked on the first generation of AI agents and on the Core ML and GCP infrastructure behind the company's largest products.
Elvira Dzhuraeva — Co-founder & CPO. Elvira spent four years at Google as a senior product manager on AI developer tools — large language models, agents, and the infrastructure developers build with. Earlier, she led machine learning and edge-AI product work at Cisco Meraki, and was a founding contributor to Kubeflow, the open-source ML framework now used by tens of thousands of teams worldwide. She studied at Stanford GSB.
Alexander Sukhanov — Co-founder & CTO. Alexander spent eight years at Cisco as an infrastructure architect, most recently a Staff Engineer at Cisco Meraki, where he designed cloud-native systems built for reliability and performance at scale. He taught Decentralized Applications (CS359B) at Stanford.
See it on your store
The fastest way to understand what we build is to watch it run on your own catalog. Drop your Shopify URL into Fastshot and get a free working preview of your app — built around your customers and their reorder loop — in 48 hours.
Fastshot for Shopify is part of Fastshot, the AI mobile app builder.