Hi everyone,

We spend our days watching AI coding agents refactor legacy code, and we kept seeing the same failure. Agents know design patterns from training data, but they know them unevenly. They invent one-off abstractions where a named pattern would fit. They force patterns where they don't belong. And they skip the small, safe steps that keep tests green. So we built a pattern reference that an agent can pull mid-task. It's a website, an MCP server, and a set of agent skills. Then we asked ourselves a simple question. Does it actually change what the agent produces?

Hey everyone, I m Dennis, my friend Saurabh (the founder) and I are building Vreeze.

Most AI tools are a blank text box in a browser tab, and they hand you finished code. If you re learning, that means you ship things you don t fully understand.

Vreeze is a small companion that lives on your desktop all day:

I'm testing Haku, a small Telegram-native AI companion beta. The product thesis is simple: most companion chats feel good on day one, then start to feel generic when corrections, tone, boundaries, and running context don't survive across days.

The beta is focused on memory + continuity rather than a bigger character marketplace. It is early, free to try, and I am mainly looking for people who care enough to stress-test whether the companion still feels coherent after several conversations.

Hi everyone,

I m Anas. I work in IT Aviation filed and build apps on the side. For the past several months I ve been building Cupmark, an Android app for people who want to make better coffee at home.

I've been a fan of UptimeRobot for years. It's reliable, simple, and does exactly what it says.

But there's one thing it doesn't do: explain why your site broke.

That's where PulseBoard comes in.

PulseBoard monitors your websites and APIs but when something fails, Vigil AI investigates:

Hi Product Hunt!

We're building OneUp Networks to help businesses run their critical workloads on secure, high-performance cloud infrastructure without the complexity of managing everything in-house.

Our platform offers Private Dedicated Servers, cloud hosting, managed IT, cybersecurity, backup, disaster recovery, compliance, and virtual desktop solutions designed for organizations that need reliability, security, and consistent performance.

Over the years, we've learned that every business has different infrastructure needs. Some prioritize scalability, others security, and many simply want dependable infrastructure backed by real people when they need support.

Hey everyone, I m Kulani A computer science student building my first startup

After learning Make and n8n, I started cold emailing businesses to sell chatbots i got no replies

Looking back, I was offering what I knew how to build without really understanding what each business needed

That experience inspired ProspectLens a Chrome extension that analyzes the business webpage you re visiting and highlights potential sales opportunities with supporting evidence

Hey everyone, I'm Nicholas, a student developer from Kenya building native Android apps under Saint Nico Labs.

I made Verdly because most habit trackers die after week two. The idea is that habits stick better with someone else involved:

Duo streaks with a friend or partner

Challenges with friends

A year ago, I started building Crayon because I wanted a creative editor that combined the simplicity of Canva with the power of professional design software.

As I kept building, I realized creators often had to jump between multiple apps just to finish one project. Design in one app, animate in another, edit vectors somewhere else, then export and repeat.

I wanted to solve that.

Here are a few features I'm most proud of:

Hey Product Hunt

I built Storecheckr after watching a pattern repeat itself too many times: store owners spending $500/month on Facebook ads for a store that converts at 0.8%.

The ads weren't the problem. The store was.