Google Search Console showed far fewer indexed pages than sitemap URLs across eight small Next.js tools, so I crawled every URL rather than checking only the homepages.

The 745-URL audit found 15 live pages with a placeholder canonical host and 22 sitemap pages with no internal crawl path. I fixed the canonical and breadcrumb URLs, linked every orphan page, deployed all eight sites, re-submitted all sitemaps, and crawled everything again.

Genuinely curious how people here actually think about their own data security not in theory, but in practice. Do you feel confident it's actually secure, or is it more of a "probably fine" situation you don't look at too closely?

Here's what gets me: most people put a lot of trust in firewalls and antivirus software, and technically that trust is often justified modern security software is genuinely good at what it's designed to do. But almost every real-world breach doesn't happen because someone broke through a firewall. It happens because someone clicked a link, opened an attachment, reused a password, or typed their credentials into a page that looked convincing enough. The technical defenses are strong; the human sitting in front of them is the actual weak point, and no software update fixes that.

I have tried a handful of tools over the years that promised to tell me what needed attention in the business. Every single one, I still opened the raw data myself afterward just to be sure. Not because the tool was wrong most of the time, it usually was not, but because I had no way to tell the times it was confident and right from the times it was confident and wrong. Genuinely asking, has anything actually earned enough trust that you stopped checking behind it, and what did that tool do differently.

I am working on this at the moment, and demo videos feel like one of those startup tasks that hide a surprising amount of work.

You need to decide the screen flow, the script, the voiceover, the editing style, how polished it should be, and how much time is reasonable to spend before it becomes a distraction.

For early-stage products, I am curious what people are actually doing in practice.

Are you recording quick walkthroughs yourself with tools like Loom or Screen Studio, using AI video tools, getting outside help, or just shipping rough demos and improving them later?

Back in 2017, I started working on an idea that I genuinely believed in.

The concept was simple: an app that would summarize daily news and articles, learn from what you read, and gradually recommend content based on your interests and reading habits.

Hey Product Hunt! I m Lawrence. I m a longtime fantasy football player currently building in the fantasy sports space.

For those of you who play fantasy football or other fantasy sports, do you use anything outside of the platform hosting your league, such as ESPN, Sleeper, or Yahoo?

That could include rankings, start/sit tools, injury alerts, AI assistants, league-sync products, spreadsheets, Discord communities, or anything else that helps you manage your teams.

I m especially curious about three things:

I ve recently reached the stage where my product is working, but I need real users to test it and give honest feedback.

What surprised me is how difficult it is to find even one person willing to spend 10 minutes trying something new.

I m working on a browser-based SIP softphone. I ve contacted people who appear to be relevant, offered free access, and asked only for basic feedback not a purchase.

Still, most people do not respond.

Building a Faster Medical Store: My 7-Day Experience with MyMedi HTML

A few weeks ago, a client of mine who runs a local medical supply shop called me in a bit of a panic. Their existing online shop, built on a heavy database-driven content management system, was taking over six seconds to load on mobile devices. In the medical supply niche, customers are often in a hurry. They need to order bandages, digital thermometers, or diagnostic kits quickly, and they do not want to wait for heavy scripts to load. The slow load times were hurting their conversion rates, and their bounce rate was climbing past sixty percent.

Everyone is focused on building more powerful AI models.

Better reasoning. Larger context windows. More capable agents.

But there is another problem that may become even more important: coordination.

Today, AI systems are becoming increasingly capable. We have AI for coding, design, manufacturing, marketing, finance, research, and customer support.

Anthropic and Google charge heavy text token rates when you feed them huge context windows, logs, or codebases. But if you render that exact same text into a dense PNG, vision OCR pricing kicks in cutting overall token costs by ~60%.