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: https://www.producthunt.com/products/ai-hive
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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What I'm building:
Cloudnan, a server management platform you operate by chatting with it. Connect your own VPS (server) or buy one in-app, then deploy from GitHub or a container registry (WordPress, Laravel, Node, whatever your stack is), run databases, and manage domains, monitoring, backups, and security. The AI does the actual server work, you just say what you want in plain language.
Who it's for:
Non-technical business owners, and the freelancers and small agencies who keep getting WhatsApp'd to fix their clients' servers. I was that freelancer. The goal is that the owner stops having to hire someone every time something breaks on their server.
The hardest part I'm solving right now:
Reliability and trust. It's easy to make an AI that talks about servers. It's hard to make one a non-technical person can trust to actually run one, diagnose why a site went down during a peak season (like flash sale), resize it, restart what crashed, without a human checking its work. Getting to "works on the first try, every time" for someone who can't tell when it's wrong is the real problem.
Product Hunt: haven't posted yet, launching officially tomorrow (wish me luck!)
Site: https://cloudnan.com
@budhilaw thanks for dropping this, Ericsson, good luck with your upcoming launch
the "works on the first try, every time" bar is genuinely hard to hit, especially for non-technical users who have no way to verify if something went wrong silently. the trust problem you described is real, and i think the flash sale / peak traffic scenario is exactly the scenario that will define whether people stick with it or not. would love to see how you handle confidence scoring when the AI makes a call that could go either way.
Hey Product Hunt community! 👋
I’m Rutvik, the founder behind PixelDrive. We just officially hit the launch stage today! 🚀
The motivation behind building PixelDrive came from a massive headache I faced constantly as a developer: the traditional pricing and architectural model of image generation APIs. Most platforms track every layout tweak, visual preview, or identical repeat asset request as a premium billable event. If you need to hotlink dynamic renders inside mass email campaigns or use them for high-traffic open-graph (`og:image`) tags, the costs run wild.
We wanted to change the paradigm by treating image generation like a modern, programmatic printing press built explicitly for developers and the AI era.
We approached the engineering with a few core principles:
1. The LLM should be the designer: We built a hosted 26-tool Model Context Protocol (MCP) server natively into the engine. This lets AI agents (like Claude or Cursor) programmatically spin up templates, read existing element layers, and nudge coordinate values to fix text overflows autonomously.
2. Identical requests should be free: If your API parameters match an asset already rendered, it pulls instantly from our global edge cache in 19ms at exactly 0 credit cost. Go ahead and hotlink it.
3. No translation glue-code: You can localize graphics on the fly across 70+ languages just by appending a simple `?lang=` parameter to your request.
We are hanging out on our launch page all day giving away 1,000 free credits to anyone who wants to play around with the engine and test the API.
👉 Check out our live launch page here: [Insert Your Product Hunt Launch Link]
I would love to hear from fellow builders, SaaS founders, and AI engineers:
* What does your current image automation pipeline look like?
* Are you running custom headless browser setups, or have you integrated MCP tools into your asset workflows yet?
Let's chat in the comments! 🛠️
@therutvikpanchal The identical-request caching at 0 credit cost is the feature that actually changes the math for high-volume use cases. That's not a nice-to-have, it's what makes it viable for mass email and og:image at scale.
The MCP integration is interesting timing. AI agents generating and iterating on visual assets without a human in the loop is where image generation gets genuinely useful for production workflows.
@nolan_vu Exactly. We wanted pricing to align with real production workloads, not punish repeat renders. If you're generating the same asset thousands of times, paying for every identical request doesn't make much sense.
And that's also why we built the MCP server. The goal isn't just AI creating images it's AI being able to generate, iterate, and deploy production-ready visual assets as part of a larger workflow, with PixelDrive handling the rendering layer in the background.
I am Building creatrne - the platform where creators actually run their business. Pitches, deals, contracts, income, media kit, all in one place.
This for UGC and influencer creators who are tired of managing brand deals through DMs and gut feel.
The hardest part is creators make real money but they're financially invisible. No verified deal history, no income proof, nothing that counts outside their own bank account. That's what I'm fixing.
@priyatharshini_c The "financially invisible" framing is sharp. That's the exact gap. Creators have real revenue but no verifiable paper trail, which makes them look risky to brands even when they're not.
Verified deal history could become a proper trust layer for the whole creator economy if you get the data model right. Is the income verification tied to the platform or does it pull from external sources too?
I’m building WorkZo AI - an AI career platform that helps job seekers prepare for every stage of the hiring process, not just the interview.
It combines AI mock interviews with different recruiter personas, resume & ATS optimization, cover letter generation, job-specific preparation, instant feedback, and career guidance in one place.
It’s built for students, graduates, career changers, and professionals who want to increase their chances of landing interviews and offers.
The hardest challenge I’m solving right now isn’t building AI - it’s creating a product people keep coming back to throughout their job search, while making the experience feel genuinely personalized instead of another generic AI chatbot.
https://www.producthunt.com/products/workzo-ai?launch=workzo-ai-2
Always happy to connect with fellow builders. 🚀
@harithavijayakumar The retention problem is the honest hard part and I respect that you named it directly. Most job search tools get used once for a resume, then abandoned. Keeping people coming back across the whole hiring cycle, not just interview prep, is a fundamentally different product challenge.
What's your current thinking on the "return trigger"? Is it stage-based, time-based, or something the user sets?
Building BloodAI.
What you're building
It's an AI platform that helps people understand blood test reports in plain English by extracting biomarkers, highlighting abnormal patterns, and generating educational insights.
Who it's for
Right now it's built for patients, with the long-term vision of helping clinicians and hospitals through AI-assisted report interpretation.
The hardest part you're solving right now
The hardest problem we're solving is making AI outputs clinically useful, consistent, and trustworthy while staying educational rather than diagnostic.
Would love your feedback!
Product Hunt: https://www.producthunt.com/products/bloodai
@raghav_rajput1 The educational vs diagnostic line is exactly the right place to hold firm. The moment a health AI starts feeling like a diagnosis, trust collapses fast, either from users over-relying or regulators getting involved.
The consistency problem is hard though. Same biomarker, different context, different explanation. How are you handling that?
What I'm building
TradeDesk- A contractor business app that runs from your phone. Estimates, invoices, getting paid, job tracking, reciept scanning, and more. An entire business in your pocket, simple enough to use on a job site with dirty hands, not at a desk.
Who's it for
Tradespeople and contractors- especially for small crews and the ones who fly solo. I wanted to build the tool I'd want to have if I were the one swinging the hammer.
Hardest part to solve right now
Keeping it simple. The idea is to "flow like a river"- you never get lost or need a manual. Protecting the simplicity while still being powerful is the constant battle. (I'm also a solo builder)
@brittney_boatwright "Flow like a river" is a great internal design constraint for this audience. Tradespeople don't have patience for apps that make them think, they need it to just work, one hand, job site conditions.
The solo builder fighting feature creep to protect simplicity is a real tension. How are you deciding what stays out?
@nolan_vu The goal is for TradeDesk to be a a tool that makes everyday easier; not software that needs to be learned. If a feature adds friction, it waits.
And thank you for the reply.🖤
@brittney_boatwright Thanks for closing the loop on that, means a lot you took the time to explain the logic behind it.
"If a feature adds friction, it waits" is honestly a better filter than most roadmap frameworks I've seen at way bigger companies. Easy to say "no" to a feature on a slide, way harder when it's a real request from a real tradesperson asking for it. Curious if you've had to say no to something you personally wanted to build, that's usually where the discipline actually gets tested.
Thanks a lot @nolan_vu for your great initiative.
Today is my 1st Launch!
Lazar AI, a Visual AI that instantly solves golf on-course doubts with just a photo.
Simple, Isn't it? No text, No speech. Just snap a good photo of your lie on the golf course.
It is for golf players that didn't read the rule book (72% as per surveys) but need the best advice to save strokes.
The hardest part I'm facing now is to fine tune a local model so it becomes more and more accurate.
Check it out on my launch page!
Any feedback is gold for me. You already know that.
Have a great Saturday.
@dani_trylazar Congrats on the first launch! The photo-only input is a bold UX call and honestly makes sense for the use case. Golfers on course don't have time to type anything.
The fine-tuning challenge is the real game though. Curious how you're collecting ground truth data for edge cases like unusual lies or local rule variations.
DS PHP Edit - https://www.producthunt.com/products/ds-php-edit a deepseek v4 powered PHP editor. Made it for my own purposes for doing some smaller php projects up and didn't want to wait for CoPilot to integrate deepseek, so I just made my own more refined version. Its open source, so I'm pretty sure no one cares unless I slap a number on it. Solves problems for me, and that's what I care about. I've also gone the extra mile and slammed it with features that I wanted, and also made sure i can see what is going on behind the scenes easily enough.
@g023 Built it for yourself first, open-sourced it second. That's usually how the most useful tools get made, honestly.
The "see what's going on behind the scenes" part caught my attention. Most editors treat the model as a black box and that gets frustrating fast. Is that more of a debug log view or something closer to a reasoning trace?
Second Brain for AI
What I'm building: Second Brain, an open-source AI memory layer that runs entirely in your own Cloudflare account. Every memory you save automatically links itself to related ones. The graph builds itself. Ask a question and recall expands outward, surfacing context you didn't think to ask for.
Who it's for: Developers who are tired of re-explaining themselves every time they open a new chat. If you've ever had Claude, ChatGPT, and Cursor all confidently remembering different things about the same project, this is for you.
The hardest part I'm solving: Memory that's actually trustworthy. Storing things is easy. Knowing which memory to trust when two of them conflict — and making sure the wrong one doesn't silently overwrite the right one... that's the hard part. v2 has an explicit trust model for exactly that.
https://github.com/rahilp/second-brain-cloudflare
@rahilpirani The conflict resolution problem is the one nobody talks about. Everyone's excited about storing memories but when Claude and Cursor have confidently diverged on the same thing, which one do you trust? The explicit trust model in v2 sounds like the part worth reading first.
Running it on Cloudflare is a solid architectural choice for latency. Does the graph expansion happen at query time or is it precomputed?
What I'm building: Maleu — India's first life OS. A social platform that brings together your scattered digital life: sharing moments, learning, fitness tracking, communities, AI-guided photography, and raw reflections — all in one place with one social graph.
Who it's for: People who feel like different versions of themselves exist across 10+ apps and none of them talk to each other. If you've ever had Instagram for photos, Strava for runs, Reddit for communities, and a notes app for thoughts — and felt scattered — Maleu is for you.
The hardest part I'm solving: Convincing people that "one app for everything" isn't a compromise. The default assumption is that a focused app always beats a bundled one. Breaking that mental model while actually delivering quality across every feature — that's the real challenge.
Solo founder, 22, building from Hyderabad. Would love any feedback from this community.
@dharan_tej_reddy Respect for taking this on solo at 22, that's not a small bet to make.
The "one app isn't a compromise" pushback you're expecting is real, I've felt that exact fatigue with juggling Instagram, Strava, and a notes app for stuff that's honestly all just "my life." The risk is usually quality dilution when you spread across that many features, so if Bloom and Wrex and Circles each hold up on their own without feeling like afterthoughts, that's the whole game. Following the launch, want to see how this lands.