paveforward

Building intelligence tools for the creator economy.
Currently building DisputeIQ for Whop creators.
Understand disputes. Protect revenue.

[paveforward @paveforward]

Most businesses know how many disputes they have.

Far fewer know why they’re happening or where the money is actually leaking.

That’s what we’re building DisputeIQ to answer.

Here’s a 51-second walkthrough 👇

[paveforward @paveforward]

A chargeback is the outcome.

Something happened between the purchase and the dispute.

At enough volume, understanding that pattern becomes more valuable than staring at individual cases.

[paveforward @paveforward]

The more transactions your business does, the harder one question becomes:

Where is the money actually leaking?

Refunds. Disputes. Different products. Different offers. Different customers.

Seeing the numbers is easy.

Understanding what’s causing them and what needs to change is the hard part.

That’s the problem worth solving.

[paveforward @paveforward]

@WiFiMoneyGuy This is the part of Whop I think is underrated. Once creators can install specialized software directly into the business, Whop starts looking less like a marketplace and more like an operating system.

[paveforward @paveforward]

If your disputes doubled next month, would you actually know why?

Not how many.

Why.

[paveforward @paveforward]

@GuilhermeWrites Crazy volume 👏

At this scale I’m curious about something — when disputes or refunds spike, how do you actually figure out what caused the change?

Do you break it down by product/customer/cohort, or mostly handle each case individually?

[paveforward @paveforward]

@jonxwilliam @whop @RyanClogg @natejbiz @ColeTHimmer Crazy volume 👏

At this scale I’m curious about something — when disputes or refunds spike, how do you actually figure out what caused the change?

Do you break it down by product/customer/cohort, or mostly handle each case individually?

[paveforward @paveforward]

@hanckfx @whop @whopbiz Crazy volume 👏

At this scale I’m curious about something — when disputes or refunds spike, how do you actually figure out what caused the change?

Do you break it down by product/customer/cohort, or mostly handle each case individually?

[paveforward @paveforward]

DisputeIQ Early Access is now FREE.

We’re opening it up to Whop sellers who want to better understand why disputes are happening, where revenue is at risk, and which patterns keep repeating.

No charge during Early Access.

Use it. Break it. Tell us what your dispute data still can’t answer.

We’ll use what we learn from real operators to decide what DisputeIQ becomes next.

[paveforward @paveforward]

Most businesses know how many disputes they received.

Far fewer can explain why that number changed.

At scale, the second question matters a lot more.

[paveforward @paveforward]

@coleangelle Serious volume.

Curious about something on the backend at this scale: when refunds or chargebacks happen, are you analyzing what’s driving them across the offer/customer base, or mostly handling them case by case?

[paveforward @paveforward]

The “understand the customer journey better than the people selling software to them” part is the real insight here.

Feels like the opportunity for third-party apps gets bigger as Whop owns more of the underlying infrastructure.

The interesting layer becomes the specialized problems that appear once those businesses actually start operating.

[paveforward @paveforward]

@Lukealexxander Building it is only part of the hard.

Figuring out what customers actually care enough about to pay for, then getting it in front of them consistently, feels like the real game.

[paveforward @paveforward]

@dwilms Winning disputes is one side of it.

I’m curious what high-volume Whop operators do with the data afterward.

Do you actually analyze why disputes keep happening across products, customers, offers, or cohorts, or is most of the focus still on winning each case?

[paveforward @paveforward]

At what point do chargebacks stop feeling like individual cases and start becoming a business problem?

5/month?
20?
50?
100+?

Curious where operators actually feel that shift, and what changes once you get there.

[paveforward @paveforward]

@pierre_koutani 580+ businesses gives you a pretty unique view into what happens after people actually launch.

As these businesses start doing volume, what problems are you seeing show up most often on the operational side?

[paveforward @paveforward]

@ryanatwhop This could bring a completely different type of seller onto Whop.

Really curious to see what the operating data looks like once these ecommerce businesses start doing meaningful volume.

[paveforward @paveforward]

@whop This is bigger than templates.

Whop is reducing the distance between “I want to start a business” and actually operating one.

The interesting part will be what gets built around these businesses once they start generating real transaction data

[paveforward @paveforward]

Building in public:

Most businesses can see when revenue is lost.

The harder question is why.

Which product is driving it?
Which customer behaviors keep repeating?
Is the problem getting better or worse?
What should you actually change?

We’re building DisputeIQ to turn dispute data into business intelligence instead of another dashboard of cases.

Starting with creators on Whop.

51-second walkthrough 👇

[paveforward @paveforward]

@cultured Whop is quietly becoming much more than a place to sell digital products.

Payments, balances, cards, now wires.

The financial infrastructure layer is getting interesting.

[paveforward @paveforward]

That’s where we want DisputeIQ to go.

Not another tool for fighting chargebacks.

A system that helps Whop sellers understand:

what happened → why it happened → what should I do next?

If you sell on Whop and deal with disputes regularly, I’d love to know:

How do you figure out what’s actually causing them today?

[paveforward @paveforward]

Most businesses know how many disputes they have.

Far fewer know why they’re happening or where the money is actually leaking.

That’s what we’re building DisputeIQ to answer.

Here’s a 51-second walkthrough 👇

[paveforward @paveforward]

We’re already seeing operators describe doing this analysis manually:

connecting dispute reason with things like product, plan, signup age, and acquisition source to understand the underlying pattern.

That’s the workflow worth paying attention to.