Curious how other builders are handling AI tool sprawl right now.
I went from one chatbot to a daily stack: chat, image, video, docs, research, maybe a second model for code. Different logins. Lost context. Half the day spent switching surfaces instead of finishing the job.
For people living in that stack:
Roughly how many AI tools do you touch in a normal day?
Hi, hunters! I know there are a lot of products for developers or product teams on ProductHunt. But I recently got my first child and I am curious if there are any apps for moms on ProductHunt.
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I run an offensive security firm (SDX Shadow Labs), and we spend a lot of time pentesting early-stage startups and MVPs. I love the speed at which indie hackers ship, but I see the exact same 3 critical vulnerabilities in almost every new product.
If you are building an MVP right now, check your codebase for these:
1. The "Hidden" API Endpoint You built a feature, decided not to launch it, and hid the UI button. But you left the API endpoint live (/api/v1/export-users). Attackers don't need UI buttons; they just query your API directly. Delete dead code.
When you're designing a user interface ... things like account management pages, preferences, call-to-action buttons ... and particularly onboard cards ...
... do you use "my" or "your" when referring to the user?
Anyone else deal with this? I work on a big external monitor, and every time I present, people are squinting at a shrunk down version of my screen going "can you zoom in?" The bigger your monitor, the tinier everything gets on their end. It drives me nuts. And on top of that these call apps like Teams, only allow you to share one window at a time. There are comparative solutions like PrivacyStage, BetterStage, etc., but anyone else able to find any better way to solve this?
AI tutoring tools are becoming more common, but I think there s still a big gap between answering questions and actually teaching. A chatbot can explain a concept, but a tutor identifies misconceptions, asks guiding questions, adapts explanations, and helps learners build confidence over time. I m curious how other builders and educators think about this. If you were designing an AI tutor today, what capabilities would you consider essential before calling it a tutor instead of a chatbot?
As agents get more capable, the failure mode shifts from bad text to bad state changes. A perfect explanation does not help much after the wrong record was deleted or the wrong customer was messaged.
The product primitives I want are scoped permissions, previews, idempotency, audit trails, and a real undo path. Capability without reversibility is just faster anxiety.
Which safety primitive has saved you most often in an agent workflow?
