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visualAI InsightsMay 21, 20265 min read

What I Built While Waiting on Shopify

The Upside of the Downside.

A winding road leads through a misty plain toward modern cabins under glowing sunrise rays, echoing the ChatGPT and shopperGPT post.

I submitted 𝐬𝐡𝐨𝐩𝐩𝐞𝐫𝐆𝐏𝐓 to the Shopify App Store in early February. I expected an answer in one to two weeks. Last week – three and a half months later – the app went live. The delay was primarily due to Shopify’s overloaded review queue.

The math on what that delay cost is honest. Three months of pipeline that didn’t run. Three months of merchant onboarding that didn’t happen. Three months of GTM activities paused because the product they were meant to drive traffic to wasn’t reachable yet. Revenue impact: measurable. Traction impact: more measurable. The frustration was real, and there’s no glossing over it.

But…

Here’s the part I didn’t expect.

𝐖𝐡𝐚𝐭 “𝐢𝐧 𝐫𝐞𝐯𝐢𝐞𝐰” 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐦𝐞𝐚𝐧𝐭

When the calendar slipped past the four-week mark, the natural founder instinct was to spend energy on the wait itself – escalating support tickets, asking for status, recalculating the revenue model on a longer horizon, second-guessing the submission. I did all of that. None of it changed the queue.

What did change was where my energy went.

With the launch date uncertain, the GTM activities that would have eaten weeks of attention – sales sequences, partner onboarding, support tooling, demo customizations – couldn’t fully spin up yet. We weren’t launching, so we couldn’t ship the launch. That created an unexpected gift: focus.

𝐖𝐡𝐚𝐭 𝐠𝐨𝐭 𝐛𝐮𝐢𝐥𝐭 𝐢𝐧𝐬𝐭𝐞𝐚𝐝

In those three and a half months, the 𝐯𝐢𝐬𝐮𝐚𝐥𝐀𝐈 platform expanded from “one product nearly ready” to “a five-product platform mostly ready.”

  • 𝐬𝐡𝐨𝐩𝐩𝐞𝐫𝐆𝐏𝐓 – the AI-native search and discovery layer – was the only product on the original roadmap for launch. It’s finally live in the Shopify App Store.
  • 𝐜𝐥𝐞𝐚𝐧𝐞𝐫𝐆𝐏𝐓 – catalog enrichment and supplier-data cleanup – wasn’t planned to ship for another quarter. It’s running (custom deployment) in production today on Cassie’s Kurations’ 8,000-product catalog alongside 𝐬𝐡𝐨𝐩𝐩𝐞𝐫𝐆𝐏𝐓, and is the next product queued for the App Store.
  • 𝐜𝐚𝐭𝐚𝐥𝐨𝐠𝐆𝐏𝐓 – AI-agent visibility for catalogs across ChatGPT, Perplexity, and the UCP layer – went from sketch to well underway, with App Store submission queued behind 𝐜𝐥𝐞𝐚𝐧𝐞𝐫𝐆𝐏𝐓 in June.
  • 𝐬𝐭𝐮𝐝𝐢𝐨𝐆𝐏𝐓 – 𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐓𝐫𝐲-𝐎𝐧 – the fourth product extension for 𝐬𝐡𝐨𝐩𝐩𝐞𝐫𝐆𝐏𝐓, MVP live, scheduling demos; App Store submission queued behind 𝐜𝐚𝐭𝐚𝐥𝐨𝐠𝐆𝐏𝐓, for Q3 2026 delivery.
  • 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐀𝐏𝐈 – a REST + MCP server extending the engine to headless storefronts, agencies, and ERPs, distributing to ChatGPT Apps, Claude, and any MCP-compliant host. Initial public spec live at developer.vairetail.com/docs. Ships Q3 2026. That fifth product wouldn’t have been ready for months if my bandwidth had been consumed by a January launch motion.

Two live custom Shopify deployments. Five products on one engine. A platform story instead of a product story.

If 𝐬𝐡𝐨𝐩𝐩𝐞𝐫𝐆𝐏𝐓 had shipped in February as planned, I’m not sure how much of that would be true today. We’d be a one-product company onboarding customers and trying to fund-raise on a single shipping product. Today we’re a five-product platform launching 𝐬𝐡𝐨𝐩𝐩𝐞𝐫𝐆𝐏𝐓 with three more queued behind it for the App Store and a 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐀𝐏𝐈 that opens an entirely different audience.

So… a net win.

𝐓𝐡𝐞 𝐩𝐚𝐭𝐭𝐞𝐫𝐧 𝐮𝐧𝐝𝐞𝐫𝐧𝐞𝐚𝐭𝐡

There’s a more general pattern here, and it’s the part of the story I want to share with other founders.

The constraints we plan around – burn rate, runway, hiring timelines – are the ones founders obsess over. The constraints we don’t plan around – review queues, partner approvals, regulatory clearances, vendor delays – are often the ones that reshape the company more meaningfully.

The planned constraints have natural responses: raise more, cut spend, slow hiring. The unplanned constraints don’t. They force the team to either spin in place waiting, or pivot attention to whatever can be built during the wait.

𝐓𝐡𝐞 𝐭𝐞𝐚𝐦𝐬 𝐭𝐡𝐚𝐭 𝐬𝐩𝐢𝐧 𝐥𝐨𝐬𝐞 𝐭𝐡𝐞 𝐭𝐢𝐦𝐞. 𝐓𝐡𝐞 𝐭𝐞𝐚𝐦𝐬 𝐭𝐡𝐚𝐭 𝐩𝐢𝐯𝐨𝐭 𝐚𝐧𝐝 𝐚𝐝𝐚𝐩𝐭 𝐝𝐨𝐧’𝐭.

I’m not arguing that delays are good. The cost is real and shows up in the P&L. But the upside, when a team can redirect energy quickly, can be structurally larger than the cost. A launch with three more products behind it is not the same launch as a single-product debut. The story we get to tell merchants today, the story we get to tell investors today, the story we get to tell the team today – all of them are stronger than they would have been on the original timeline.

𝐓𝐡𝐞 𝐔𝐩𝐬𝐢𝐝𝐞 – 𝐓𝐡𝐚𝐧𝐤 𝐲𝐨𝐮 𝐒𝐡𝐨𝐩𝐢𝐟𝐲?

Today, 𝐬𝐡𝐨𝐩𝐩𝐞𝐫𝐆𝐏𝐓 is in the Shopify App Store. Plans start at $39 with a 7-day free trial. And yes, thank you Shopify for listing my vision! Once the review finally did start in earnest, the process was excellent.

But the story isn’t that one product shipped. The story is that the platform around it is wider, deeper, and more complete than the one that would have shipped 90 days ago. The delay was a tax I didn’t volunteer to pay. The compounding it forced is one I might have under-invested in if the original timeline had held.

I’m not glad about the delay. But I’m not going to pretend it didn’t quietly build a better company while I was annoyed about it.

What’s a constraint your team is currently spinning on instead of pivoting around?

#SoloFounder #BuildInPublic #AICommerce #Shopify #StartupLessons

Published May 21, 2026 · 5 min read
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