Launching today
Running even one online store is a full-time job. SellerClaw is a team of AI agents that runs it for you: specialized agents for product sourcing, store management, and advertising, coordinated by a supervisor you direct. Tell it what to sell — the agents build listings, manage ads and pricing, and handle fulfillment and support across Shopify, eBay, and more. You stay in control: every action is visible and approvable, and you set how much runs on its own. Free to start.











Remy AI
If it can update tracking and message customers, that removes a lot of daily admin.
SellerClaw
@artyom_zhuravlev
Exactly, that's a big chunk of the daily admin gone.
Worth noting how tracking actually reaches the buyer: on marketplaces, they see status and tracking numbers right in their account, and on Shopify they get the shipping email with the tracking number and an estimated arrival. So the baseline updates are already handled by default.
Where we add value is being smart about what's worth a message. We don't ping the customer at every leg of the journey ("now it's in this state, now the next one"), because that's just noise that ends up annoying people. Instead we notify on the moments that matter, shipped and delivered, plus we flag the exceptions: a tracking number that stops updating, a damaged label, or a cross-border parcel stuck at customs. Those are the cases where the buyer actually needs to step in, so that's where the agent reaches out.
So less routine busywork for you, and fewer pointless notifications for your customers.
Your agent can integrate with Woocommerce
SellerClaw
@lovik1468
Not yet, WooCommerce isn't integrated at the moment. It's something we can look at adding soon, though. Right now our focus is on Shopify as the primary platform, alongside the leading marketplaces. Appreciate you flagging it, demand like this is exactly what helps us prioritize what comes next.
Mailwarm
This is a big vision. Running a store touches so many moving parts: sourcing, listings, pricing, ads, fulfillment, support. Having specialized agents coordinated by a supervisor makes sense. The key challenge is probably trust and control.
What actions are merchants most comfortable automating first: listings, pricing, ads, or support?
SellerClaw
@thamibenjelloun Most start in advisory mode, which means the agent recommends and the merchant approves everything. What gets handed over first usually comes down to risk tolerance for that specific store. The modes exist precisely because that answer is different for everyone.
SellerClaw
@thamibenjelloun Hey,
What to automate first depends upon the business model and the platform you sell in.
1. The dropshippers need to automate listings and pricing model first since the new products on the supplier end appear every hour. It's a competitive advantage if you can list the product fast, set up a stock control to avoid OOS (out of stock) cancellations, add correct fees, shipping costs and your margin.
2. As to pricing, basically the US market is quite coherent in terms of marketplace fees. Amazon has a referral fee of 15% for most of the categories for years. Here's the top question is to calculate the economy of the listing not to lose your margin. Pricing matters but it's mostly a one-time set up and control of regular deals / discount you're ready to give.
3. Support is mostly applied to Etsy sellers as the platforms requires a day-to-day communicatios between the seller and the buyer and lots of offers have some customizations and made-to-order listings. Here's the agent can take control of it and in this case it's really looking for automation from scratch. The most crititcal here is to create a RAG model and provide an agent with the comprehenive description of the listings so the agent will find the information in your own database instead of googling the incorrect information which may cause a return and seller's costs.
4. Once all the ops questions closed you can keep going with ads. It's sure to be automated once the correct p&l dashboard with all the fees is in front of you and you clearly understand the ACOS & TACOS you can allow.
Best,
Gleb
Fundraisly
Nice launch! Curious how quickly credits get used in a real store.
SellerClaw
@solodnev
Thanks! Honest answer: real-world burn rate is something we're still gathering data on as more stores come online, so I won't give you a made-up number.
What I can tell you is how it works under the hood: different operations run on different models matched to the task. Routine, high-volume actions use lighter models, while the more analytical work runs on heavier ones. So credit usage scales with what your store actually does, its size, how much daily routine you automate, how much content gets generated, and so on, rather than a flat rate.
As we get more usage data, we'll be able to share real benchmarks. Great question to keep us honest on.
SellerClaw
@solodnev @tolstov_gleb
Adding to the above: the part you control directly is an effort slider that trades economy for depth, in three steps — Saver (lighter, faster models for routine work), Balanced (default: strong models on the hard tasks, light on the routine), and Max (strongest models across the board for the deepest research). So you set not just how much the agent does, but how thoroughly and how cheaply it does it.
SellerClaw
Spent most of this launch figuring out where to draw the line in the messaging between what SellerClaw does and what you still own. Each agent has a defined scope, irreversible actions require confirmed context, there's a full log. That's the architecture that earns the trust to expand the scope.
Fakeradar
I like that Autonomous is not forced from day one
SellerClaw
@artem_anikeev
Glad that resonated, it's a deliberate choice.
We have an advisory mode where the agent asks for your approval before each action. Most people lean on it early, and that's exactly right: like any new hire, an agent needs to be trained and checked before you trust it to run on its own. There's no magic where you flip a switch on day one and money rains down.
Think of it as an upfront investment. You put in a bit of supervision at the start, and what you get on the other side is essentially an employee who then works 24/7, no vacations, no sick days, and does it consistently. You decide when it's earned enough trust to take the wheel.
SellerClaw
Thank you for being here. This is a big day for us.
We always give 500 credits on signup. Today, for the Product Hunt community specifically: enter promo code PH1000 and get an extra 1,000 on top. 🎁 1,500 credits to put the agents to real work.