Chargeflow earns high praise for making chargebacks far easier to manage, with AI-driven automation, clear evidence packages, and seamless integrations. Reviewers highlight fast setup, strong support, and helpful visibility into post-purchase risk, noting better acceptance rates and fewer false declines. Extra weight to maker insights: makers of
credit it with safer global program sales and real-time control; automation experts emphasize reliable workflows and time savings; several makers applaud Chargeflow Prevent for proactively stopping friendly fraud and reducing cash flow shocks.
Chargeflow
Hey Product Hunt 👋,
We built Prevent after experiencing “digital shoplifting” firsthand - losing revenue, products, and time to customers who knew how to game the chargeback system.
Most fraud tools only catch pre-transaction fraud, leaving friendly fraud and post-purchase abuse unchecked.
What makes prevent different:
✅ Actor-based analysis → focus on the buyer, not just the transaction.
✅ Post-transaction detection → drastically fewer false positives.
✅ Collaborative network → 15,000+ merchants sharing real-time data.
✅ Digital Score → a transparent score (0–100) that answers: “Can I trust this client?”
We’re most proud that Prevent helps SMBs accept more good orders with confidence instead of turning away revenue.
Would love your thoughts, feedback, and support 🚀
— Avia, Ariel & the Prevent team
@avia_chen3 Congrats on the launch! Whats the best way to connect with you for partnership opportunities?
Riverside
Big fan of this space 🙌🏻 One thing I’m wondering — can Prevent work alongside existing tools like Riskified/SEON?
Chargeflow
@roypovar Hey Roy. Prevent can definitely work alongside any fraud prevention solution/platform because of how uniquely it is built.
Instead of blocking transactions at checkout, Prevent stars working right after the checkout has been complete, running it through advanced ML algorithms and assessing the customer trustworthiness through our vast network, consisting of 15,000 merchants. Most fraud solutions are looking only at the transaction elements such as the credit card AVS, CVV, billing and shipping addresses, which are important for fraud prevention but not friendly fraud. Prevent is assessing a customer based on his past online purchase, chargeback and returns behavior, which is crucial to prevent friendly fraud.
Flowmapp
Really impressive launch guys 👏🏻
Quick question: what makes your Digital Score different from traditional fraud scores? Interesting to hear that
Chargeflow
@mituhin Thanks Paul. Digital Score is buyer-first, not transaction-first. It blends post-checkout behavior, repeat-abuse history (chargebacks, returns), and network outcomes across 15k+ merchants into a time-aware 0–100 score with factor-level explanations. Traditional scores stop at checkout signals. We step in after payment to gate fulfillment and cut false declines. Want a screenshot of a score explanation?
Chartloop
Congrats on the launch! I've had a few disputes with a small <1M brand and they were annoying to deal with. At what scale does it make sense to use this?
Chargeflow
@seanlewin Thanks for this. Prevent is designed to be useful whether you’re running a small brand or a large enterprise. Smaller stores benefit from not having to fight disputes manually or lose revenue to “digital shoplifters.”
Larger stores benefit from scale, catching repeat abusers across thousands of orders and cutting operational overhead. Because pricing is usage-based and starts with 1,000 free scans, it’s flexible enough to make sense from day one and still powerful as you grow.
Curious, in your own disputes, were they mostly “item not received,” subscription cancellations, or something else?
That is a big deal. There is plenty of space for these products. Congrats on the launch!
Are there any geographical limits for the solution?
Chargeflow
@michael_vavilov Thanks Michael! Prevent works globally, no geographical limits. Because it’s post-checkout and built right into Shopify, it plugs in wherever your buyers are. The fraud patterns do shift by region (for example, more “item not received” in the US vs. return abuse in EU), but the Digital Score adapts to those signals automatically.
Agnes AI
I really like how you’re flipping the script to focus on buyer behavior, not just transactions! I’ve had my share of “friendly fraud” headaches. One more quesrion - how the Digital Score adapts over time for repeat customers?
Chargeflow
@cruise_chen Great question! The Digital Score isn’t static, it adapts as it learns more about each buyer. If someone comes back, their history of disputes, clean orders, or suspicious behavior flows into the score. Repeat abusers see their score drop over time, while good customers build trust and get approved faster.
Congrats on the launch team. What kind of access would you need to a Stripe account to monitor it for fraud? And do you do the work to fight the fraud or do you just notified me via email or something?
Chargeflow
@kensavage Hey Ken, thank you. Prevent has launched for Shopify right now, if you're using Shopify with Stripe, it automatically works and does not need to integrate with your Stripe account. We'll be launching our direct Stripe integration pretty soon and will require minimum permissions.
Regrading monitoring or taking action - Prevent has a built-in next generation workflow builder that allows you to auto-approve, put on hold (for further verification) or cancel orders based on their risk score and many other parameters.