Hi makers

I m building MemoryOS, and I d love feedback from people working on AI agents.

Most AI products already store context. What interests me is how they govern it as things change:

A user corrects an earlier preference.
Two sources provide conflicting information.
Several agents update context about the same person.
Permissions change, but previously learned context still exists.

Leela (Gyan Chauper) is the Indian board game that Snakes and Ladders was made from, before it lost its meaning. 72 squares, each one a state of mind.

But you don't play it alone. You play it with a facilitator - someone sitting across from you, asking what you see on the square you just landed on. Without that person it's a pretty board and nothing happens. That's why almost nobody plays it, and that's what I couldn't get over.

Hey Product Hunt

I ve been building StoreAuditPro, a Shopify tool that helps find issues with SEO, performance, product pages and trust.

The goal is simple: show store owners what they might be missing and what they could improve.

I m launching it here to get some real feedback.

Hey Product Hunt!

Building on the conversations around our Virtual Card feature, we wanted to highlight another practical benefit teams are finding useful lately:

• Every card has a single purpose. No mix-ups, no unclear transactions.

• Unauthorized purchases simply can t happen. If the card isn t approved for the vendor, it won t go through.

• Budgets stay exactly where you set them. Limits are locked in, and alerts tell you the moment a transaction happens.

4,372 things to check before you ship: security, performance, scale, integrations, and what happens after it's live.
It runs three ways: an MCP server in Claude Code, `npx prodcheck init` in a repo, or a prompt pasted into any chat.
The rule I care about most: every answer cites a file and line, or it says UNKNOWN. There is no pass state, and it never marks anything verified.
Free, open source, no account: https://www.producthunt.com/prod...
If you run it on a real repo, tell me what it missed. That's the feedback I can use today.

Hello friends, I am the founder of a One Pager, and I want you to share your honest thoughts.

One Pager is a fast, flexible builder for creating high-converting landing pages tailored to your customer types. The personalization helps with conversion for sales and generally helps out for step of the customer journey.
Help me understand if you find a tool like this to be valuable, as in my experience it does and especially in today's AI climate the extra human touch goes a long way, which is why I've made the platform video centric.
Tell me what you think is:

• What s confusing?

• What feels unnecessary?

• What would stop you from using this?

Sign up, play around, break things and as an example of the type of pages that can be created, here is my message to you --> https://app.one-pager.io/p/UmAqpx

Hey Everyone,

I wanted to talk a bit about the symbols and meaning behind I Am Sorry Mom, Please Come Back.

This game is small, but every detail carries weight.

Most retail and e-commerce teams lose a chunk of revenue to cost-price fraud, margin erosion, and inventory shrinkage. But every time you want to use a SaaS tool to catch these leakages, you run into the same brick wall: third-party cloud data risks, privacy reviews, and months of enterprise compliance.

We faced this exact issue and ended up building Opsreveal a browser-based, zero-trust audit tool using WebAssembly so transaction data never leaves local device memory.

I m curious how other founders and tech teams here handle this:

1. Do InfoSec/privacy requirements slow down your adoption of new analytics tools?

2. What techniques or tools are you currently using for local or privacy-first data processing?