Self-Promotion
Show off what you're working on
Start new thread

What are you building? Drop your AI product below

by•

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.

4K views

Add a comment

Replies

Best

 

My ProductHunt Page. We have made a better and efficient way to interact with your AI so you get the desired output in less and less price.

 Thanks Nikunj, making AI interactions cheaper while still landing the right output is one of the underrated problems in AI right now. Everyone's optimizing for capability, very few teams focus on cost efficiency at the interaction layer.

Would love to see a bit more context in your pitch honestly, "better and efficient way to interact with your AI" is broad. If you narrow down which type of interaction (agentic tasks, chat, coding, etc.) and share a specific example of the cost improvement, it'll land way harder in threads like this.

Wishing SaysoOS continued growth and hope more builders discover it 🔥 Just upvoted and followed. If you have a sec, I'd really love your eyes on AI Hive too, a platform I'm building for enterprise AI agent automation: . Any upvote or review means a lot to us.

Vidhya, an AI workspace that takes students from their first university search all the way to a signed offer letter.

I built it after going through my own applications with zero guidance, forty browser tabs open at 2AM, unable to afford a $5,000 consultant. The AI advisor browses live university websites in real time for admission requirements and deadlines, drafts personalized outreach to professors based on their actual published research, and matches scholarships to your specific profile.

Launched Today. If you think it'l help students then give me an upvote to get some visibility and reach to students:

 Thanks Abhiyan, the story behind Vidhya hits hard because "forty browser tabs at 2AM with no guidance" is genuinely the reality for most first-gen university applicants worldwide. Building the AI advisor you wish you had as a student is one of the strongest founder-market fit signals out there.

The bit about drafting personalized outreach to professors based on their actual published research is what makes this different from every "AI college counselor" out there. That level of personalization is exactly what wealthy families pay $5K consultants for.

FitzX Chat

FitzX Chat

Self-hosted voice and text chat for teams

 Thanks Byrd, self-hosted voice and text chat is a category most teams don't even realize they need until compliance or data sovereignty comes up in a meeting. Slack and Teams are convenient but for regulated industries or privacy-first teams, having control over the stack is huge.

The niche is smaller than mass-market chat but the buyers who care about self-hosting tend to be sticky and willing to pay for the peace of mind. Just make sure the UX doesn't feel like a downgrade from what they're used to, that's where most self-hosted alternatives lose people.

Wishing FitzX Chat continued momentum and hope more privacy-focused teams find you. Just upvoted and followed 💬 If you have time, would love your eyes on AI Hive too, we're building for enterprise AI agents and automation with a similar data-control mindset: . Any upvote or review means a lot.

What I'm building: csvdiff — a modern CSV comparison tool that helps you instantly see what's changed between two CSV files.

Who it's for: Developers, data analysts, QA engineers, and anyone who regularly compares CSV exports or data snapshots.

Hardest part right now: Reaching the people who compare CSVs every day. I'm growing through SEO, developer communities, and word of mouth while continuing to improve the product.

Free to try: csvdiff.app

 Thanks for sharing Omer, csvdiff hits a very specific and very real pain that data folks live with every single day. I've spent way too many hours squinting at two CSVs trying to spot what changed manually, so seeing a color-coded diff view with clean column matching honestly feels like it should have existed 10 years ago.

The distribution challenge you mentioned is fair. Devs, analysts, and QA engineers who compare CSVs aren't in one central community, they're scattered across data engineering forums, r/dataengineering, and internal team wikis. SEO for "CSV diff" and dev-community engagement is the right play, though it's a slow burn.

Love this format. Jumping in.

What I'm building: Curio -- a website chatbot you install with one line of code. It crawls your site, grounds every answer in your actual content, and cites its sources with deep links to the exact section. Two modes out of the box: topic Q&A and support. Mascot's a hippo named Hugo.

Who it's for: Small teams and solo operators who want a genuinely smart chatbot on their site but don't have the time (or the budget) for enterprise AI tooling. Multi-tenant, so agencies can run it across a bunch of client sites too.

Hardest part I'm solving right now: Trust. Most site chatbots either hallucinate or leak things they shouldn't. So a big chunk of the work is guardrails -- per-domain knowledge isolation, secret/PII scrubbing, prompt-injection defense, and never storing conversations. Getting a bot to confidently say "I don't know" instead of making something up turns out to be the whole game.

Will read through the thread — always curious how other people are handling the hallucination/trust problem.

 Thanks Richard, honestly the "getting a bot to confidently say I don't know instead of making something up" line is the whole game for site chatbots and most builders skip past that entirely. The trust angle you're leaning into (per-domain isolation, PII scrubbing, prompt-injection defense) is exactly why most chatbots die in production, glad someone's taking it seriously.

Multi-tenant setup for agencies is also a really smart wedge. Agencies bring you into 20 client sites at once, way faster path to real usage than chasing individual small business owners one by one. Hugo the hippo is a nice touch too, mascot branding tends to stick way harder than most people expect.

Rooting for Curio to keep growing and building trust with every install. Just upvoted and followed to catch updates 🦛 If you don't mind, would love your eyes on too, we're solving a similar trust problem but for enterprise AI agents and workflow. Any support really means a lot.

 Appreciate that, Nolan — and you nailed it. "I don't know" being the whole game is the thing I wish more people obsessed over. It's unglamorous work, but it's the difference between a chatbot people trust and one they mute after a week.

The agency wedge has been a nice surprise too. One agency conversation turns into ten sites, and they already have the client relationships I'd otherwise be cold-chasing. And yeah — Hugo pulls more weight

than a hippo has any right to. 🦛

Just headed over to AI Hive — the pilot-to-production gap is such a real problem, and it's interesting we're circling the same trust question from opposite ends (you at enterprise scale, me down at the

small-team level). Upvoted and following to watch where you take it. Rooting for you.

 Thanks for your support, I hope that your product can continue the upgrade and receive lots of customers later on

What I'm building: — a simple CRM, scheduling, and revenue tracking tool for service-based businesses and independent professionals. It helps you manage bookings, clients, and income without juggling a bunch of disconnected tools.

Who it's for: Dog sitters, tutors, freelancers, and small service businesses who are tired of messy spreadsheets, missed messages, and chaotic scheduling across multiple platforms and don't have big budget for hubspot or other CRM tools.

Hardest part right now: Getting early traction as a team of two with no big marketing budget. Relying fully on organic channels like Product Hunt, SEO, and word of mouth while trying to iterate fast based on real user feedback.

 Thanks Linh-Chi for sharing the details. RecurRoster addresses the real pain points that many freelancers and small businesses struggle with every day. Most CRMs on the market target large sales teams; almost no one seriously builds one for small service businesses.

Choosing PH + SEO + word of mouth instead of burning marketing budget is the most sustainable approach for the product at this stage. It will take more time, but the quality of users gained will be vastly different.

Wishing RecurRoster continued growth and success in satisfying even more customers.

What we're building:

Archron is an execution and verification layer for AI agents. It enables AI to safely interact with business systems like Salesforce by validating every action against permissions, schemas, and business rules before execution.

Who it's for

AI builders, Salesforce consultants, and enterprise teams that want AI to move beyond read-only assistants and safely automate real operational work.

The hardest part we're solving right now

Finding a repeatable go-to-market motion. We're creating a new infrastructure category, so a big part of the challenge is identifying the right entry point whether that's AI builders, Salesforce consultancies, or enterprise teams adopting AI agents. We're working closely with pilot customers to learn where Archron delivers the fastest and clearest value.

We are looking for 5 additional pilot customers free for 3 months. If any one is interested, Let me know.

 Thanks for sharing Ron, an execution and verification layer for AI agents interacting with Salesforce is honestly one of the most needed pieces of infrastructure right now. Every AI agent I've seen in enterprise pilots dies at the "safe to write back to CRM" step.

The GTM challenge you flagged is real. New infrastructure categories always struggle to find the first entry point, but Salesforce consultancies feel like the sharpest wedge because they already own the trust with enterprise buyers and can bring you into deals as a component, not a standalone sale.

Wishing Archron great momentum ahead and hope every pilot customer becomes a case study you can lean on. Just upvoted and followed to keep watching this space 🙌 If you don't mind, I'd love a check on as well, we're building a similar direction for enterprise AI automation:

 Thanks! This is also what I'm looking at. More and more AI agents are being created and deployed. So I built Archron as the execution layer in between AI and systems.
We are looking for pilot users. How about testing Archron between your AI agents and business system?
I think there is a window where we could collaborate or something.

Otherwise, let's connect! Thanks again!

 that's cool, feel free to connect through my linkedin profile and we can discuss further there

Thanks Nolan!

Building , an AI inbox that finds work buried in emails, texts, and DMs, then helps get it done.

It is for anyone drowning in messages and follow-ups.

The hardest part we are solving is making the inbox proactive. Instead of making you search, sort, and remember, Synced surfaces what needs attention, connects to your apps, and handles the next steps with your approval.

Launching on Product Hunt soon:
Sign up to get early access!!

 The "proactive inbox" angle is the right one. Reactive email tools just add more noise. What you're describing, where Synced surfaces what needs attention and handles next steps with your approval, is closer to how a good EA works than how a typical inbox app works. That's a meaningful difference.

Pre-launch on PH is always a weird limbo but having a clear use case like this makes the early traction story easier to tell. Signed up to follow along! If you get a chance, would love a review or upvote on AI Hive — we help teams deploy AI automation workflows without needing a full engineering team:

Love the concept behind AI Hive, enterprise compliance and model flexibility are absolute bottlenecks right now. Congrats on the launch!

Here is what I’m working on:

  • What I'm building: BiteMood — A food-matching mobile app for couples and friends. Both users swipe through meals independently, and the app only alerts them when they both like the same thing. No more endless, frustrating debates.

  • Who it's for: Couples, roommates, and friends who spend more time scrolling through delivery apps or arguing about "What should we eat?" than actually enjoying their meal.

  • The hardest part I'm solving right now: Distribution and cold start. As a solo founder, the technical execution (React Native, NestJS, and getting past Google's strict 14-day testing policy) was tough, but getting that initial organic traction without an established audience is the real beast.

Just launched on Google Play this week and currently fighting Apple over developer account payment issues to get the iOS version out!

Checking out AI Hive right now, best of luck with the enterprise scaling!
🤖 Web Site Link:

🤖 Google Play Link:

 Thanks for the kind words on AI Hive, really appreciate it! The food-matching swipe mechanic for couples is clever, the "only alerts when both like it" logic cuts out exactly the friction that makes group meal decisions miserable. Distribution and cold start as a solo founder with zero existing audience is genuinely the hardest thing, no shortcuts there.

Fighting Apple over developer account payment issues while also trying to ship sounds like a special kind of stress. Hope that clears up fast. Already upvoted and followed to keep track of where this goes! Would love a review back on AI Hive if you get a sec:

Hello!

The What: Sela - a caretaking task management app built by a caregiver for those family members providing free home health aid/care to/for a loved one(s).

The Why: There are over 60million people who provide unpaid health care to a loved one in the US alone. These loving family members have access to multiple apps that are meant to make staying organized easier, however they only provide tracking of specific items forcing those caregivers to use multiple apps or pay for the features they truly find helpful or use pen/paper. Adding yet another inconvenience to the already overwhelming list of daily tasks most caregivers work through daily.

The Challenge: At present my current challenge is getting users who will also take the time to report issues/provide a review of the app so that gaps and risks can be identified and resolved. And to also show proof of concept for funding to expand the app.

Go to to try the app and leave a review.

 60 million unpaid caregivers in the US alone and most of them are duct-taping together 3-4 apps to stay organized. That's a real problem that deserves a real dedicated solution, not a workaround. The fact that you built this as a caregiver yourself gives it a kind of credibility that most health apps don't have.

The user review challenge is tough early on, especially for something this personal. Worth reaching out directly to caregiver communities on Reddit or Facebook groups — those folks are vocal and loyal when a tool actually fits their life. Rooting for Sela

First
Previous
•••
121314
•••
Next