What are you building? Drop your AI product below

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Doing one of these because I get more from reading what others are building than from any newsletter.

I'll start.

Building AI Hive, an enterprise AI agent platform that helps mid-market and enterprise teams get from AI pilot to production in weeks instead of quarters. The hard problem we keep solving: compliance, model flexibility, and the lack of in-house AI talent on the customer side.

Product Hunt page:

Your turn. Drop:

- What you're building

- Who it's for

- The hardest part you're solving right now

Will read everything and upvote what resonates.

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We're building Clueso. You record your screen once, and we turn it into a polished product video plus a written step-by-step doc — voiceover, zooms, callouts handled.

It's for teams whose documentation is permanently behind the product. Happy to swap notes with anyone else working on video or docs tooling.

What I’m building: Naseem — a native AI agent for macOS. It can work with your files, terminal, Mac apps, iOS Simulator, MCP servers, and other tools — not just chat about the work.

Who it’s for: Developers and power users who want an AI agent that can actually work on their Mac. It’s built entirely in Swift — no Electron — and supports both cloud and local models.

Hardest part right now: Giving the agent more autonomy while keeping it predictable and safe: approvals, verification, permissions, and making sure “done” really means the result was observed and verified.

Recently launched it on Product Hunt and I’m continuing to build it in public.

Naseem:
Product Hunt:

A new figma plug-in helps designers present their work better with our AI voice coach.

It's designed for designers to receive AI coaching on their spoken presentation alongside their slides or frames.

It lets you iterate, edit and improve your script. Even with a spoken feedback option.

It is very much an educational tool, and you need to set aside the time to be able to present your work and record your voice.

Building a complete curated, verified and working AI assets directory. Not like huge directories with abandoned assets.

You can check it out in my profile. Launched it yesterday on PH.

Still work in progress but adding everyday new assets and blogs.


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What I’m building
 A calm go-to-market operating system for founders with more than one product in view. Activation, traffic, SEO, authority, and publishing signals sit in one place — so you can see which product needs attention, what one action to take next, and whether that action moved anything.

Who it’s for
 Indie founders, solo makers, and small teams running two or more products. Especially people who already have the data — but not a clear call on where their limited attention should go.

Hardest part right now
The research layer. We’re pulling from more than +55 books, articles, and founder conversations — then sorting durable patterns from interesting noise. The goal isn’t more advice. It’s seeing which actions tend to move something, for which kind of product, and under what conditions.

I’m building PC Anatomy, an open-source interactive 3D tool for exploring what’s actually inside a computer.

It’s aimed at students, beginners, builders, and anyone curious about hardware. You can click through components and dive deeper into things like CPUs, GPUs, RAM, cooling, and internal architecture.

Hardest part right now is balancing technical depth with keeping it approachable.

GitHub:
Live:

Building GeoRankers for B2B SaaS teams to understand how their brand appears across ChatGPT, Google AI Search, and Perplexity and what they should do next.

The hardest part right now is separating real visibility changes from normal model variability so recommendations come from meaningful patterns rather than one-off answers.

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