Hey ProductHunt!

Trophy is now powering over 24M streaks which is kind of crazy to think about considering we only launched 1.0 here in January this year.
One of the parts I find most interesting about building horizontal infrastructure is that as you scale and power more and more products you get to see insights that most teams building in isolation will only see a part of, and you can use those insights to make the the infrastructure better for everyone.
For example, because we power streaks for so many users, Trophy can tell that 25% of all streaks are lost on a Friday, closely followed by Saturday (19%) and then Wednesday (18%).

Hey everyone

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.

no one asked actually but to be honest i think i had to say something cuz i kinda feel bad that all the support i got here just went away...
right now if you visited the domain finkitty.com you will find out that its listed for sale, i took this decision after a very long sitting with myself and ended up deciding that since im not having any users in this app i might just kill it and shift my focus into something else (working on templateson.com now)
yet im still holding it inside cuz i do like the name of this app and i feel like it has very good potential and i just cant see it..
so... if you have any great idea for an app named "FinKitty" please let me know
thanks

The meeting paradox

The async revolution was supposed to kill meetings, but it did the opposite. Since 2020, weekly meetings have increased 153%, despite every company adopting Loom, Slack, Notion, and a dozen other async tools. The tools multiplied, the meetings stayed. Something structural is broken.

Hey Product Hunt community! I'm Sankalp, founder of Ordrpro. We're live on Product Hunt today and I wanted to share our story.

THE PROBLEM: Most restaurant owners have no idea how much revenue they're silently losing every month. We're talking 15-30% of potential revenue gone to mispriced menu items, customers who ordered once and never came back, peak demand hours not being utilized, and operational blind spots draining margins.

Hey all,

One of the most important and challenging experiences you ll have as a founder is fundraising.

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.

Ran a full SEO audit on my project today. Found out Google had 39 pages stuck in "Discovered not indexed."

What I fixed:

• Switched profile pages from force-dynamic to ISR caching

• Converted my AI agent page from client to server component so crawlers can actually see it

• Added schema markup (BreadcrumbList, Person, Organization, SoftwareApplication)

• Removed unoptimized images, enabled AVIF/WebP

• Added an About page for E-E-A-T signals

• Updated sitemap with all missing pages

Resubmitted the sitemap, checked Search Console, down to 2 not-indexed pages now. Ranking dipped temporarily but from what I've read that's normal after big changes.

Hey makers!

Lately, I ve been looking closely at how independent builders and small teams are managing AI knowledge bases. It feels like the default "industry standard" is to immediately reach for a complex RAG pipeline and a heavy, paid Vector Database.

But I'm starting to wonder if we are over-engineering this for 90% of standard use cases.

Vector DBs are incredibly powerful for massive scale, but for smaller or non-massive datasets, they can be expensive, complex to query, and act as complete black boxes. If a search returns a weird chunk, diagnosing it is often a nightmare.

What are the alternatives to Stripe?

Paddle

got rejected

Lay out your features as cards on a canvas. Add descriptions, reference files from your project with @ mentions, and draw connections to map out dependencies and flow.

When your plan is ready, hit Build. The entire board every feature, every connection, every file reference gets sent to AI as a structured prompt. It reads the plan, respects the dependency order, and implements it.

No more explaining your whole architecture in a long chat message. Just show it.

Use it for: