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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Best

  Love this format — I get more out of these than any newsletter too.

  I'll jump in.

  Building usebravery — it sets up a done-for-you Amazon affiliate review site: you pick a niche, it generates

  the site and the review content, and you own it outright (your domain, your content, your own Amazon tags).

  Who it's for: people who want an Amazon affiliate site as an owned asset, but don't want to spend months on

  WordPress, plugins, and writing every review from scratch.

  The hard problem we keep solving: making AI-generated content that actually survives contact with the rules.

  Amazon tightened its human-review / original-content requirements in 2026, and Google's Helpful Content

  updates punish thin auto-generated pages. So the whole thing is AI-drafted but human-editable — the human

  stays in the loop by default, instead of one-click publishing 500 thin pages. Getting that balance right

  (fast enough to be worth it, edited enough to rank and stay compliant) is the real challenge.

  PH page:

  Happy to compare notes with anyone else building in the AI-content / SEO space — that compliance line is

  moving fast right now.

What I'm building: Execlave — runtime governance for AI agents. It checks every action an agent takes against your policy before it executes, not after it shows up in the audit log.

Who it's for: Platform and security teams putting AI agents into production, where an agent taking a real action (sending a payment, changing customer data) is the thing that keeps them up at night.

The hardest part right now: Enforcement in the action path without adding latency. It's easy to govern agents if you're willing to slow them down — the hard part is checking every action in milliseconds so the guardrail is invisible until it's needed. That's most of our engineering.

(Bootstrapped team from Germany, live on PH today: )

We built this:

It’s a free text-to-speech tool designed to make turning text into natural-sounding speech quick and simple.

Would love to hear what you think! 🚀

Something reads your calendar and your Jira or ClickUp, and hands you your week already filled in.

Tue - 3h Acme redesign, 1.5h internal, 2h client call

You read it, fix what's wrong, and approve it. That's the whole thing. No timer, and no sitting there on Friday trying to remember what you did on Monday.

Would you approve that?

A few things I'm not sure about:

  1. Would you send a client an invoice based on it? Or does a person have to put the number in for it to hold up?

  2. A meeting has a real start and end time. A Jira ticket moving So if the bot puts 2 hours on that ticket, it made that number up. Would you rather it left that blank, or filled it in and told you it was a guess

  3. If the draft is right most of the time, would you still be re later? Or would you just hit approve?

building , Qivi makes ai actually explain through visuals

Currentlt building GeoRankers - an AI search visibility platform for B2B SaaS and enterprise teams. There are already plenty of AI visibility tools focused on monitoring mentions, citations and share of voice but we are focusing on the next question teams usually get stuck on - what should we actually do to improve this?

GeoRankers turns those visibility gaps into specific actions, then tracks whether those changes actually improved how AI systems describe or recommend the brand. The hardest part right now is making that action-to-impact loop reliable across different AI models.

Lauching on 2nd September -

So we’ve been building WIT: Will It Travel? for global teams communicating in English across countries.

Paste in a work message, and WIT explores how it may be understood across American, Indian and Singapore English. For now we have these three. It highlights possible misunderstandings and suggests clearer wording without replacing your voice.

The hardest part has been trying to position it not as another language checker, but an option to preserve your voice and still be understood.

We just launched today:

What I'm building: PoseForge — a private, local-first photo studio that runs on the AI subscription you already pay for. Give it an identity photo and a pose reference, and it returns the same person (or the whole family) in that new pose and composition, with controls for camera, lighting, styling, fidelity and output format.


Who it's for: Codex, Google Antigravity and ComfyUI users who are tired of rebuilding the same multi-image prompt in chat for every single photo, and want a repeatable visual workflow instead.



Hardest part right now: Getting discovered with zero ad budget as a solo founder from Bay Area,CA. Relying 100% on organic — IH, PH forums, and word of mouth.


Try it :


 - monitoring your AI agents set up for themselves. The agent creates its own monitor over MCP, then you get paged when it stalls mid-run, not just when it crashes, plus all the boring, oldschool stuff from cron jobs, CICD jobs etc.
Totally free with open-source CLI and MCP, not self hostable yet but in the works. Currently available (API, MCP, Terraform Provider and UI of course.
It's for people who develop, engineer or monitor any product, people who prefer UI or API, if they want to set up monitoring as code or use AI for everything and want to monitor them.

Hardest part right now for me is to get an actual feedback I am being brutally honest :) but I think that's true for many others as well!

Hello everyone,

I am building a game, geared towards speaking and improving communication. This started because founders like myself do struggle in terms of being precise with what they say. The hardest part that I am solving right now is figuring out whether this is needed first, and figuring who else it might be for. If you are reading this and think of any ICP that might fit, please let me know! I am still in my ideation phase.

Best

 The ICP question is genuinely the hardest part at ideation stage, and most founders skip it thinking they'll figure it out later (spoiler: they don't). From what you described, sales founders and non-native English speakers in high-stakes roles feel like a strong starting point.

Have you tried recording yourself pitch something and watching it back? That's usually the moment people realize they really need this.

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