3 days in: what your questions taught us — and a small ask for the weekly leaderboard
Hey Product Hunt — Tony and Steven here from ClawTeams.
Three days ago we launched ClawTeams, the first goal-driven, proactive AI team for e-commerce. We hoped for a warm welcome. What caught us off guard was how much the comments themselves would end up teaching us. We landed at #1 Day Rank, crossed 800+ points, and picked up over a thousand followers — but honestly, the questions in the thread have shaped our roadmap more than any planning doc we wrote before launch. So I wanted to write down what we heard, what it changed, and where we're headed.
What these three days felt like
Launch day was a blur of Slack pings and leaderboard refreshes. But once the adrenaline settled, we realized the operators showing up weren't asking "what does it do?" — they were pressure-testing whether they could trust it to act on their store. That's a better problem to have, and a harder one to answer well.
The feedback that landed hardest
A few themes came up again and again. Reda named the core fear: an AI tool that becomes "another job" is one you abandon. Gal pushed us on platform account-safety — Amazon and Shopify can suspend a seller over bulk automated changes regardless of whether the change was smart. Syed pointed out that a goal like "increase Q4 revenue 20%" can be satisfied in ways you'd hate — margin-gutting discounts or list-burning email — with each step passing its own guardrail while the sum optimizes the wrong thing. Paul asked what the team lead remembers between runs. Olga named "rule drift": constraints that are each fine alone but quietly over-constrain together. And Priya, Patrick, Franz and Med all circled the same core question — where exactly the human stays in the loop.
What inspired us
Two suggestions in particular are turning into real work. Gal's point that a brand-new store shouldn't be paced like a five-year-old one with deep trust — account-age-aware conservative pacing by default — was something we hadn't modeled, and it's clearly right. And Olga's observation that add-time conflict checks miss the sneakiest failures (rules that only over-constrain in combination) pushed us toward a periodic whole-rulebook health check, not just reacting to the next conflicting rule someone adds.
What we're improving next
Concretely, we're prioritizing: account-history-aware pacing that defaults conservative for young or thin stores; a periodic rulebook health review to catch over-constraint before something downstream breaks; and a deeper guardrail-KPI layer so the Team Lead is steered by margin floors, send-frequency caps and brand rules — not merely blocked at individual high-stakes steps.
A small ask
If ClawTeams resonates with you, we'd be grateful for your support on the weekly leaderboard. Every upvote helps more e-commerce operators discover it — and keeps this kind of sharp, roadmap-shaping conversation going. Thank you to everyone who upvoted, commented and pushed us these three days. This is still day three, and you've already made it a genuinely better product.
Replies
WebCurate.co
Great update. One of the best parts of launching is when the questions reveal assumptions you didn't know you were making.
It's nice to see you're turning that feedback into concrete improvements instead of just collecting feature requests.
The idea of a periodic rulebook health check is honestly clever. Had any real customer already run into this issue, or was it entirely community driven?
One thing I liked is that you did not just celebrate the ranking you explained what you learned. curious how you decide whether feedback becomes a roadmap item or stays in the backlog for later.
Account age aware pacing makes so much sense. are there other factors besides store age that influence how conservative the AI should behave?
Syed's point about optimizing the wrong KPI really stood out. how do you balance aggressive growth goals without making the AI too restrictive to be useful?
Buffup.AI
I found the discussion around human-in-the-loop especially interesting. Do you see users gradually giving the AI more autonomy as trust builds over time?
Promomix
This is one of those updates that's actually worth reading because it shares lessons instead of numbers. Which roadmap improvement do you expect to have the biggest customer impact first?
Bababot
Congrats on the strong launch! Looking back after three days, is there any feature you wish had been ready before Product Hunt day?
Glad the account-age pacing point turned into an actual roadmap item, that's the kind of thing that's easy to skip if nobody flags it since it doesn't break anything until a new store gets suspended for looking like a bot. One follow-up: will the conservative pacing default be something a merchant can see or adjust, or is it fully internal to the Team Lead's judgment? I'd want to know why it's being cautious on a given day, not just that it is.