ClawTeams is an AI employee platform for e-commerce sellers. Instead of hiring specialists—or doing everything yourself—you get a coordinated AI team that thinks, plans, and executes like real employees. One goal. One team. Zero micromanagement. Tell your team lead what you want—"Increase Q4 revenue by 20%"—and they break it down, assign specialists, and run the plan. You get updates in Slack or Discord. High-stakes decisions wait for your approval. Everything else just happens.
I'm Steven Cen, and today we're launching ClawTeams — an AI team platform built specifically for e-commerce operators.
The frustration that led to this: we kept seeing smart sellers use AI tools and still end up doing all the coordination work themselves. They had AI assistants — but they still had to be the manager. That's exhausting.
So we built ClawTeams around a different idea: → You set the goal. The AI Team Lead manages the rest.
Get 800 bonus credits ($8 value) with your first top-up of any amount. No minimum required.
We'd love your feedback — especially from sellers who've tried other AI tools and hit walls. What made you give up on them? What would make an AI team actually useful?
The "self-heal first, then flag a human for hard blockers" split you described to Priya is a good pattern, I ended up at a similar split building an AI Chief of Staff for founders running more than one business, except mine is read/advise-only rather than action-taking. The rule-drift question from Olga is the one I'd push on further though: even with conflict-flagging at add time, over-constrained-but-individually-fine rules are the harder failure mode, and they don't show up until something downstream breaks. Do you do any periodic whole-rulebook health check, or is it purely reactive to the next conflicting rule someone adds?
How does it work under the hood? Do you have your own knowledge base covering different e-commerce industries? In other words, what guarantees do you have that the AI won't generate incorrect or harmful recommendations?
Congrats on the launch! When it comes to spending real money, like reordering inventory or bumping ad budget, where's the line between "just handle it" and "wait for my approval"? Is that a fixed threshold or something you tune per store?
This could be a really useful internal team for creating training materials, FAQs, and onboarding docs.
This is the first AI tool that actually feels like hiring a team, not just another assistant. Told it "optimize our Amazon listings" and the AI lead broke it down, assigned specialists for copy, keywords, and images, and they all worked in parallel. No more me playing project manager for 5 different AI tools. The Slack-native workflow means I don't have to learn another dashboard. Some tasks still need human eyes, but for the grunt work, it's a massive time saver. Free tier to test it out.
What is actually highlighted for me to approve when the lead of the artificial intelligence team breaks down a goal such as increase fourth quarter revenue by 20% into specific actions, and does this depend on me or is it set up by the platform itself?
Congrats on going live! With 30-plus specialized roles, merchants could assemble a surprisingly capable launch team without hiring separately for every ecommerce task.
Are users able to bring their own models or choose different models for different AI roles?
Feels less like just another AI tool and more like an automated team that gets work done.
Congrats!👋👋 This could be especially useful for lean ecommerce teams juggling product research, listing copy, visuals, launch campaigns, and distribution at the same time.
Quick update from the ClawTeams team — thank you all! 🙏
We've been blown away by the warmth and depth of the feedback since launching today. Landing at #1 Day Rank with 600+ points means a lot, but honestly the comments have been the real highlight.
The questions here have been incredibly sharp — from guardrail metrics and cross-run memory, to platform rate-limiting and account-safety edge cases. It's exactly the kind of thoughtful conversation we hoped to spark, and it's already shaping how we think about the roadmap.
To everyone who upvoted, commented, or gave us a shoutout: thank you. This is just day one, and the reception has us more energized than ever. We're reading every reply and would love to keep the conversation going. 💛
Congratulations! The product feels built around how work actually gets delegated, reviewed, and delivered.
Ecommerce work is full of tiny handoffs between research, copy, design, and operations. Nice to see a product trying to coordinate the whole chain from one request.
I run a small fleet of Claude agents that operates my own product (eng, QA, growth), so this is close to home. The problem that bit me wasn't planning or approvals — it was rule drift: every incident adds a constraint to some agent's instructions, and months later the rules contradict each other in ways no single edit caused. Does ClawTeams reconcile new seller-added constraints against existing ones, or does the Team Lead's rulebook just grow? Congrats on the launch.
Which integrations are available today beyond Slack, and is Microsoft Teams support already production-ready?
"high-stakes decisions wait for your approval" - is that threshold something the team lead learns from your past overrides, or a fixed list of action types you configure upfront?
About ClawTeams on Product Hunt
“The first goal-driven, proactive AI team for e-commerce”
ClawTeams launched on Product Hunt on July 14th, 2026 and earned 746 upvotes and 85 comments, earning #1 Product of the Day. ClawTeams is an AI employee platform for e-commerce sellers. Instead of hiring specialists—or doing everything yourself—you get a coordinated AI team that thinks, plans, and executes like real employees. One goal. One team. Zero micromanagement. Tell your team lead what you want—"Increase Q4 revenue by 20%"—and they break it down, assign specialists, and run the plan. You get updates in Slack or Discord. High-stakes decisions wait for your approval. Everything else just happens.
ClawTeams was featured in Productivity (656.2k followers), Marketing (466k followers) and Artificial Intelligence (473.7k followers) on Product Hunt. Together, these topics include over 330k products, making this a competitive space to launch in.
Who hunted ClawTeams?
ClawTeams was hunted by Chris Messina. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how ClawTeams stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Chris Messina
Hey Product Hunt! 👋
I'm Steven Cen, and today we're launching ClawTeams — an AI team platform
built specifically for e-commerce operators.
The frustration that led to this: we kept seeing smart sellers use AI tools and still
end up doing all the coordination work themselves. They had AI assistants — but they
still had to be the manager. That's exhausting.
So we built ClawTeams around a different idea:
→ You set the goal. The AI Team Lead manages the rest.
Get 800 bonus credits ($8 value) with your first top-up of any amount. No minimum required.
We'd love your feedback — especially from sellers who've tried other AI tools and hit
walls. What made you give up on them? What would make an AI team actually useful?