Shopetry
Fast, secure online stores for product brands
About
Fast, secure online stores for product brands
Product description
Shopetry helps product brands launch fast, secure, and scalable online stores without the usual technical chaos.
We build modern e-commerce websites for brands that sell through Instagram, marketplaces, or outdated stores and want a more professional way to grow online.
Unlike one-off website projects, Shopetry works in a subscription model, which means we do not disappear after launch. We help with setup, performance, maintenance, improvements, and ongoing support, so founders always have someone to contact when something needs fixing or upgrading.
Our stores are designed to be fast on mobile, easy to manage, and ready for real traffic. Shopetry already supports brands and creators with large Instagram audiences, including profiles with tens or hundreds of thousands of followers.
If you are building a product brand and need a store that looks good, loads fast, and keeps working when traffic grows, Shopetry gives you the technical foundation and long-term support to do it properly.
Ready to launch?
Submit your product and get discovered by builders and creators worldwide.
Launch Now
FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
I didn't even have to talk to Brock to launch that second experiment I changed the price on App Store Connect I already had two SKUs and I set it all up in Revenue cat to run this subsequent experiment without touching code without updating the app.
Run Paywall Experiments Without a Developer by Using Backend-Driven Paywall Tools
David is a non-technical founder who works with a developer partner. The old workflow for A/B testing a paywall meant involving the developer for every variant — days of work. By using a backend-driven paywall, he could change pricing, pre-selected plans, and run scheduled experiments entirely from the dashboard — no code change, no App Store update required. For any founder without a full-time developer, this unblocks a critical growth lever.
you need to get more scientific with something that's going to be in production and that could be as simple as you know just running that prompt like 30 times um and then pasting it into Google doc right um and and then just reviewing like okay like how often does it do bad things
Run the prompt 100 times in async, then review the failures
Running a prompt once and shipping it is the prompt-engineering equivalent of medieval bloodletting — a lucky hit mistaken for a working system. Before any prompt goes into production, run it 30-100 times asynchronously, dump outputs into a doc, and cluster the failures. Bulk review surfaces real failure modes instead of the one good output that tricked you.
There's a play for whatever you're stuck on.
Read all 2722 playbooks
Comments
0