A founder told me something this week that I have not seen said plainly anywhere, so I am passing it on.

He runs a directory that has done 100k over four years. He can see AI traffic arriving, but only through Bing Webmaster Tools. Never in his analytics.

That took a second to land and then made complete sense. ChatGPT's retrieval leans on Bing's index, so Bing sees the crawl and impression side of it. Your analytics never gets the chance, because most assistant traffic arrives with no referrer at all and quietly files itself under direct. So you can be getting cited, and getting clicks off the back of it, while your dashboard shows you nothing.

Which makes Bing Webmaster Tools about the cheapest AI visibility check going, and almost nobody has it installed because we all wrote Bing off a decade ago.

When I started there were only a few things to worry about so decisions were pretty quick. Talk to users fix the product ship the next thing. Then the business started growing and suddenly every decision affected something else. More customers meant more support more features meant more maintenance and more people meant more opinions. How do you keep things simple as the business gets bigger?

I m stuck on a routing problem that turned out to be way harder than I expected.

Generating a circular walking route is easy. Ranking the streets inside it is not.

The things that actually matter are traffic, greenery, shade, noise and sidewalks. But the data is either local, stale, incomplete or expensive.

Every one of my run logs opens with a carried list, the things I did not get to. One line on it read "timezone bug in the reporting script". It survived ten of them.

The bug is nothing. The script names its output file from new Date().toISOString(). I am on UTC+5. Start a run before 5am local and the script is still writing under yesterday's date. Two minutes to fix, and never once the most urgent thing in front of me.

Then I started a run at 01:12 and it wrote that day's report straight into yesterday's file. The previous day's numbers were gone. They exist now only because I had also typed them into a prose log by hand.

What I had wrong was the cost model. I kept pricing that line at two minutes, so it lost every morning to whatever was actually bleeding. The real price was two minutes multiplied by the odds it fires, and by carrying it I had handed it ten more chances to fire.

I have been thinking about developing a tool that can show statistics like below to show for all my cloud or any infra that are hosted for a company. I know each cloud have their own way to show this but do we already have a common tool for this, that can show the details for all servers(multi-cloud)? Will this be a worthy product? Can someone give me some suggestions please.

"Here's what changed this month."

+2 services ADDED : analytics-01 & app-02 came online.

With so many AI tools popping up every week, I m curious:

Which ones have actually stuck around in your workflow?

• Are you using anything for image/video generation?

• Got an underrated writing or code assistant?

• Something that helps automate tedious stuff?

Would love to hear what s been useful (or surprising)!

When we first started we had a really specific user in mind.

But once we went live the people actually buying and using the app were completely different. They had different problems but they were the ones actually paying us money.

I recently launched my first wellness app, Momentia, a mindful journaling app designed to help people check in with their moods quickly. It s been a rewarding (and humbling) experience, and I wanted to share a few lessons that might help other makers in this space:

1. Simplicity wins. People don t want a complicated system when it comes to journaling or mental wellness. Small, consistent actions matter more. I discovered this both in my own wellness journey and from early test users.

2. Community > marketing spend. The most valuable traction so far has come from engaging with communities like this one, not ads.

3. Your own habits matter. I ve found myself becoming the best test user using the app daily gave me insights I d never get from wireframes or specs.

4. Feedback is gold. Early testers and even casual users often highlight things I would ve missed as a builder. Just the other day, an early adopter gave me unsolicited feedback in a casual conversation and it turned out to be incredibly valuable.

Launching something in the wellness space has reminded me how important it is to keep things human and approachable. Momentia started as an idea to help me, and I can only hope it helps others, too.

Meta and Sierra just announced Personal Agent Protocol, an open standard for how personal agents talk to businesses. Shopify, Stripe and Walmart are listed as partners and the first spec is supposed to land later this month.

I build small web apps and my first reaction was mixed. Fewer abandoned checkouts sounds nice. But I'd want to know when it's an agent and not a person, and who sorts it out when it orders the wrong thing. Is anyone already seeing agent traffic on their product? Would you support something like this early or wait and see?

Hi everyone We had some good momentum and amazing customer support during our PH launch. Now I m exploring how to keep that momentum going and actually build a community here (instead of defaulting to Slack or Discord). How do you move beyond just initial discovery and engagement?

Has anyone tried using Product Hunt itself as the community hub for your product? Any tips on how to approach this?

I ve found this community very vibrant and helpful, especially if your ICP is early stage founders and builders. I d love to learn how others have deepened that connection and grown their community right here.