We built AI that's constrained to your component library - so it can't go off-brand
Something we kept seeing across every enterprise team we work with: AI design tools generate fast, then the cleanup takes longer than building from scratch.
The pattern is always the same. The AI generates a beautiful dashboard. Everyone's impressed. Then someone looks closely. Wrong button variant. Spacing doesn't match the system. The card uses a shadow you deprecated months ago. The loading state doesn't exist. A developer receives it and rebuilds everything using the real components anyway.
The generation was fast. The aftermath was expensive.
I keep going back and forth on this so I'll just put it out there.
OpenOwl gives any AI assistant the ability to see your screen and control your computer. That's a lot of access. People are right to be cautious before installing something like this.
The strongest signal I get from people on the fence is the same every time: "is this safe? what is the binary actually doing?"
Open sourcing the code answers that question forever. No more screenshots of code reviews. No more "trust me." Just the source.
When looking at site stats, a ton of people went to the subscribe page, but never signed up for the free trial, maybe because of having to put a card in. I figured out you can remove this feature on stripe, so I've done that for now if anyone wants to see the full features for a week
Are we still doing product discovery - or mostly validating decisions we already made? As teams grow, processes get heavier, but it sometimes feels like real exploration gets lost.
We ve been thinking about how Athena could push teams back toward actual discovery - not just confirmation.
How honest do you think discovery really is today?
If you look at the top Mac cleaning utilities today, they all share a similar design language: they look like a 2005 spaceship dashboard.
They have spinning radars, giant red warning signs flashing "YOUR MAC IS IN DANGER", and custom UI elements that look nothing like macOS. It s designed to create panic and force a purchase.
When I started building OptiClear, I decided to take the exact opposite approach. I wanted the UI to be almost... boring.
Video has always been one of our biggest customer acquisition channels at my company. But for 2 years, our video making process was a mess. Not the recording - the everything else. Finding editors who understood our specific AI context was hard, so we ended up doing it ourselves. It was draining. It was inconsistent. It was a bottleneck.
Over the last 10 days, I built an autonomous AI video agent (powered by Hermes - or OpenClaw - both work) to kill the drudgery for good.
ClawOffice was a bit of a gimmick - a 3D virtual office for AI agents. It was fun to build and got some attention on launch, but let's be real: it didn't take off. People thought it was cool for a minute, then moved on. No real retention, no real problem being solved.
Here's what I actually learned from it:
Novelty value. A cool concept gets you a launch day. It doesn't get you users who come back on day 30.
I was building for the demo, not the workflow. ClawOffice looked great in a screenshot. It didn't solve anything measurable for anyone.
"What gets tracked gets improved" is real. The founders I talked to afterward all had the same pain - they were shipping features and running experiments with no clue what was actually driving revenue.
Sleep debt doesn't just make you tired. It degrades decision-making, reaction time, and emotional regulation, and you often can't feel how impaired you are.
Most people try to fix it with more caffeine. That makes it worse.
Clarity helps you use caffeine to perform better today without destroying tomorrow.
5 days until our Product Hunt re-launch. Follow along. We're excited to show you the changes since the last launch.
We just went live with the SigmaMind MCP Server, and we re on a mission to end "infrastructure hell" for voice developers.
For the last year at SigmaMind (YC S22), we ve watched builders struggle to stitch together telephony, low-latency models, and fragmented APIs. Today, we re changing that. We ve built a way to configure and deploy production-grade voice agents directly from your IDE (Cursor, Claude Code, etc.) using the Model Context Protocol. No more manual glue - just one prompt to connect your model, pick a voice, and get a live phone number.
We just launched our newest product Onform on Product Hunt today and would love your support!
Onform is an alternative to Typeform and Jotform. Build and manage forms completely through Claude Desktop using plain language no dashboard required. Intake forms, post-meeting surveys, feedback forms all of it, just by chatting.
Basic plan allows you create as many forms, and get many responses as you want.
We ve just released an update to the browser extension.
The extension now opens in the browsers side panel, which means it will no longer cover part of your search. The extension also remains open as you search, so feel free to switch between tabs and pages as you re doing your deep dives. Plus, we ve integrated Listen Mode into the extension. So now, you can listen to your content in that familiar voice you ve grown accustomed to over the past week!
I have been thinking about this a lot lately: why do so many AI products feel interchangeable?
You open one, you open another. Different logo, different color scheme, same experience. A text box. A chat interface. Some version of "ask me anything." The wrapper changes but the feeling does not.
I made this extension for myself because long chats in ChatGPT and Gemini kept getting slow and annoying to work with.
At first I just wanted to make long AI chats easier to handle, but then I added export too, because I often need to move information from one chat to another or save useful chats somewhere else.
