Avi Moskowitz 🇮🇱

Focused on bringing the Amazon experience to independent brands like Levain's, Harney's Teas, David's Cookies, Jones Road Beauty, Laura Geller, Underoutfit, Groove Life, James Perse, and many others.

PrettyDamnQuick replaces more than a dozen separate Shopify apps and makes checkout a profitable growth engine.

Co-Founder & CEO

Fast-growing eCommerce delivery app that’s powering delivery for top DTC/CPG brands like Underoutfit, Jones Road Beauty, Ghia, Laura Geller, TeriJon, Easyplant, Harney & Sons Fine Tea, AllFresh Seafood, Levain Bakery, and many more.

Avi Moskowitz

We have a great rewards program at PrettyDamnQuick 😄 

Got these beauties from TrophySmack (whose awesome checkout we're proud to power!)

I turn checkouts into profit engines | CEO & Co-Founder of PrettyDamnQuick | Previously: 8-figure eCommerce brand founder

It hurts every time...

(BTW If there's a better use for AI than this I haven't found it)

A quick shout out to the Made In team!

They’re dynamic, proactive, and knowledgeable about their products AND customers. 

*During* BFCM, we rolled out an AB test, added low-stock messaging, and refreshed upsells. Everything was super-smooth and boosted overall BFCM performance.

Then holiday prep- they treated Christmas cutoffs (correctly!) like a system, not just a banner at the top. Accurate arrival dates. Real cutoff logic. Checkout messaging aligned with fulfillment capacity.

Holiday demand amplifies everything. Trust gaps. Fulfillment strain. Bad promises. A level of communication like this is only possible when checkout is connected to operations.

PDQ’s tech is unprecedented and best in class, but it’s only as useful as a team’s willingness to leverage it, and when it’s done right, it becomes a huge conversion lever.

Made In leaned into precision & prep instead of just a hope & a wish. As a result they’ve seen more completed checkouts and happier customers. 

Just an A+ checkout experience from an A+ team.

TL;DR because it's the umpteenth post about UCP 😄: Announced yesterday, Google and Shopify's Universal Commerce Protocol is the infrastructure layer for AI-driven shopping. 
As AI agents start handling purchases, checkout needs to get smarter. Static flows are dying. The winners will be merchants whose checkout can adapt in real-time to context, not just process payments.

_______________________________________________________________

𝐆𝐨𝐨𝐠𝐥𝐞 𝐚𝐧𝐝 𝐒𝐡𝐨𝐩𝐢𝐟𝐲 𝐣𝐮𝐬𝐭 𝐝𝐢𝐝 𝐬𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠 𝐦𝐨𝐬𝐭 𝐩𝐞𝐨𝐩𝐥𝐞 𝐚𝐫𝐞 𝐠𝐨𝐢𝐧𝐠 𝐭𝐨 𝐮𝐧𝐝𝐞𝐫𝐞𝐬𝐭𝐢𝐦𝐚𝐭𝐞.

They didn't just launch a new checkout option, they standardized how commerce works at the protocol level. 

The Universal Commerce Protocol isn't a feature or UX, it's infrastructure. It's a shared language that lets AI agents find products, build carts, and complete purchases across different merchants without needing custom integrations for each one.

Here's the thing: when interfaces disappear, whoever owns the underlying protocol wins. Infrastructure makes winners.

And that's the quiet shift happening right now. Discovery, decision-making, and checkout are moving away from people clicking through pages. Instead, machines are going to act on our intent. UCP is building the rails for that future.
It fundamentally changes what "checkout" even means.

Think about it: in a world where an AI agent can compare thousands of options in milliseconds, your static checkout flow is already outdated. One-size-fits-all pricing, shipping options, and incentives? That won't cut it. Agents are going to route purchases to whoever offers the best outcome for the buyer they're representing. Speed, reliability, value, context- all of it.

That's why autonomous checkout matters right now, not five years from now.

At PrettyDamnQuick, we never set out to build prettier forms. We built for decision automation at the point of purchase. Checkout that reads the room in real-time: location, cart value, margins, buyer intent, likelihood to convert, and then adapts without anyone having to manually tweak it.

UCP makes this more critical, not less.

Protocols determine how transactions happen. Autonomy determines who actually wins those transactions.

If your checkout can't think for itself, AI agents will just think around you.

And it's *really* not a question of if. It's already happening.

Every Shopify brand is still competing with Amazon.
Not on ads. Not on products.

But on the checkout-to-delivery experience.

Amazon set the standard: personalized, fast, transparent.

Shopify brands were left with static checkouts and siloed delivery systems.

PDQ changes that.

We give every merchant the tools to deliver an Amazon-like experience:
⚡ Personalized checkouts
📦 Smart delivery promises
🛠 Post-purchase upsells & branded tracking

The result is millions unlocked for our brands every week.
Analyzed and verified by our extensive tests.

The future of commerce is Amazonian experiences without Amazon.
And we’re building it.

Just read 1,000 Simultaneous Experiments by Gigi Levy-Weiss on NFX's blog and wanted to share some takeaways as it really put language to how we already operate at PDQ.

It's well written, talking about how the real shift isn't AI as efficiency. 
It's AI as leverage.

Software is no longer a tool. It's labor. The job is not to perfect a single idea but to run as many parallel experiments as possible and let reality decide.

That is how we think about checkout. Not one static flow. Hundreds of experiments running across segments, offers, delivery promises, incentives. Always learning. Always implementing.



When experiments are cheap, playing it safe becomes the biggest risk.
This is how smaller teams build unfair advantages now.

>>

Open article: 1,000 Simultaneous Experiments: The Next Mental State for Founders by nfx.com

1,000 Simultaneous Experiments: The Next Mental State for Founders

Rachel ten Brink

General Partner Red Bike Capital | Y Combinator Founder | Board Member

Rachel ten Brink is General Partner and co-founder of Red Bike Capital, an early stage Venture Capital fund based in New York that invests in Vertical AI, Fintech and Health & Wellness. She is the co-founder of Scentibrd, a Y-Combinator backed ecommerce subscription that raised $30M in venture funding and is a Top YC Company by Revenue (top 2% of all YC companies). Rachel was CMO/CRO leading Growth and Revenue, scaling the company to $300M+  in revenue and signing over 74 enterprise customers. 

Rachel has been a board member and senior advisor for various companies. Before this, she spent two decades as an operator building billion-dollar brands at Procter & Gamble, Elizabeth Arden, Estee Lauder, and L’Oreal. Rachel serves as Chair of the Board of Latinas in Tech, holds an M.B.A. from Columbia Business School, and graduated magna cum laude from Babson College.

General Partner and Founder

Red Bike Capital is an early stage VC fund that invests in verticals that are primed for disruption and growth. 
* We invest in early stage, US-based SAAS, Health & Wellness, and Fintech. 
* We are founders ourselves, have 30+ years of experience with an authentic connection to the startup ecosystem and a strong track record in asset management, including founding and scaling a Y Combinator-backed startup to $100M in revenue, deploying $2B in assets, and sourcing deals via relationships with top founders and accelerators. 75% of our deal flow is founders referring founders. 
* We are hand-on investors, able to secure allocation in many deals delivering true value-add across GTM, Growth and Revenue. 
* Latino and woman-led early stage fund based in New York.

First day at National Retail Federation "Big Retail Show" was busy - around 40K attendees from around the world. Quick impressions:

=> AI isn’t coming. It’s here.
- 84% of retailers already use #AI across CX, GEO, marketing, etc. 
- 3 out of 4 consumers interact with AI daily- but many don't even realize the extent to which they are using it.
- But even with all this momentum, search still lags. The top use case is still basic queries like “black jeans, 32 waist.” Consumers are more educated than ever, yet tools still struggle with intent.
- Concerns remain: privacy, bias, and AI nudging unnecessary upsells. Critical to keep credibility and not become so commercial that AI recommendations loose credibility. 
- We’re heading toward agentic purchases quickly- it will start with automatic buys for items you don’t need to research.
- Much of the conversation focused on linking AI deeply to product catalogs.

=> Retail isn’t broken, but we need to revise the assumptions.
- Omnichannel will be a drain on profitability, unless you are prepared for retail - operational excellence, cash flow management, consistency.  It's easy to be everywhere- much harder to do it profitably. 
- AI is the operating system. Expectations are high but seeing real gains in supply chain, inventory, labor, routing, and reverse logistics.
- Robotics is more and more mainstream- from smart shelves, smart stores, smart vending machines, smart robots.
- Brand relationship with the consumer begins with operations. Speed, availability, and reliability represent the brand for consumers, just as much a brand story, etc.

Looking forward to what the rest of NRF brings. More to come on emerging tech tomorrow!

Karen Moon Francisco Aivado Nunes Kellie Fitzgerald Trevor Sumner Herman Goihman Fiona Tan Angie Brown Jason Del Rey  
Red Bike Capital

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