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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Just launched AuraClick today, An AI-powered style engine that bridges the gap between personal aesthetics and functional shopping. By combining body geometry analysis and color season theory, AuraClick instantly generates tailored shopping blueprints, cutting through the noise of infinite retail choices.
This is for serious shoppers and conscious consumers who are tired of "guess-and-check" fashion. It’s for people who want to stop buying pieces that end up sitting in their closet, and instead want a scientific, data-driven approach to building a wardrobe that actually suits their unique features.
The hardest part I am solving right now is "Analysis Paralysis" Gap. Users love the idea of color seasons and body shapes, but they struggle to accurately identify their own without paying a consultant. You’re working on making professional-grade style expertise instantaneous and accessible, proving that AI can be a personal stylist that’s actually accurate.
feel free to check it out at AuraClick: Personalized Styling, made easy! | Product Hunt
@shaheen5 thanks for sharing this, Shaheen!
the analysis paralysis gap you named is real, people love the concept of color seasons until they have to self-diagnose and realize they genuinely can't tell if they're a "soft autumn" or a "true summer." making that first assessment feel accurate without a human stylist in the room is the whole game. if you crack that, the shopping blueprint part becomes much easier to trust.
What you're building
Who it's for
The hardest part you're solving right now
@rishantraj23 thanks for sharing this, Rishant!
the validation challenge you're describing is real. people already have "good enough" scattered across 5 apps, so the switch cost feels high even when the pain is obvious. the question i'd ask early users is not "would you use this" but "what broke last week that this would have prevented," that framing tends to surface the real switching moment.
What I'm building: 360now. A 360° leadership feedback platform. Leaders get anonymous feedback from peers, managers, and reports, and we use AI to turn that raw rater feedback into an actionable report surfacing patterns and blind spots instead of just listing comments.
Who it's for: Leaders and teams who want real, fast feedback without the cost or clunkiness of traditional coaching or enterprise HR platforms.
Hardest part I'm solving right now: We're bootstrapped, and honestly the product was the easy part — getting discovered with zero marketing budget and no big network is the real challenge. Learning distribution from scratch as we go.
Launching on Product Hunt in a few weeks, happy to swap notes with anyone else in the same boat.
@lisa_doherty The distribution problem is the one that kills more useful products than anything technical. And you're right that PH is worth it, especially for something like leadership feedback where word of mouth from one person who "gets it" can open a whole org.
Happy to swap notes on what's working. Zero-budget distribution at launch is something a lot of people here are navigating right now.
@nolan_vu Thank you for the response. It is nice to hear it is not just me. It would be great to swap notes. Thanks again.
Love this thread~
In May, despite having zero programming background, I started building. Using Claude Code and a lot of vibe coding, I spent 38 days designing, building, deploying, and launching the core features of AI Rookies.
For me, that feels like a huge personal achievement. It was something I'd never attempted before—and somehow, I pulled it off.
Today, AI Rookies lets you:
Today — Receive a daily roundup of the newest AI concepts that emerged yesterday, explained in plain English.
Explore — Search for any AI concept you're curious about and get an explanation that actually makes sense.
AI World — If you're curious enough, explore the bigger story: why AI suddenly became so capable, and how all these concepts connect to one another.
AI Rookies is a place where AI finally makes sense.
It explains AI concepts with humor, plain language, and connections between ideas instead of isolated definitions. Every concept becomes part of a growing knowledge map, so even complete beginners can naturally keep exploring.
It's still a work in progress, and there are plenty of features I want to build. But for me, it's already become the software for one that I wished had existed.
If you're curious about AI but don't want to spend your weekends reading research papers, I'd love for you to give AI Rookies a try.
Product Hunt page: https://www.producthunt.com/products/ai-rookies?launch=ai-rookies
@andy_hu_1989 38 days, zero programming background, shipped to production. That's genuinely impressive and not something most people with actual dev experience pull off cleanly.
The "software for one that I wished existed" framing is the best positioning you could have. Products built to scratch your own itch tend to have a specificity that broader tools never get.
@nolan_vu thank you for the support.
What you're building
Building an AI Moderator that can have natural conversations with people, ask smart follow-up questions, and turn hours of qualitative interviews into actionable insights in minutes.
Who it's for
Consumer insights, UX, and product teams that want to run qualitative research at scale.
The hardest part you're solving right now
Combining adaptive conversations with Emotion AI to detect hesitation, excitement, confusion, and other subtle cues that transcripts often miss. The takeaway? The best insights are often hidden between the words.
Feel free to experience it here: https://aimoderator.entropik.io/
@aakash_srinivasan The emotion detection layer is what makes this interesting. Most research tools stop at the transcript and call it a day, but the gap between what people say and how they say it is where the real signal lives.
The "hidden between the words" framing is spot on. How well does it handle text-based async interviews vs live voice? That's where I'd be most skeptical but also most excited.
Building ClearScan - a transparent ATS resume scanner, built specifically for students.
Who it's for: Students and early-career job seekers who keep getting filtered out by ATS systems before a human ever sees their resume. I built this because I've been there myself - applying, getting silently rejected, no idea why, and not being able to afford $50/month tools like Jobscan just to find out.
Hardest part I'm solving: Transparency. Most scanners give you a single number and leave you guessing. ClearScan actually shows you the full breakdown - keyword matches, ATS compatibility across 5 platforms (Workday, Taleo, Greenhouse, Lever, iCIMS), bullet point quality using STAR analysis, missing skills, so you know exactly what to fix instead of trusting a black box.
It's also priced for the people who need it most, starting at €3.99/month, making it one of the most affordable ATS scanners out there, without cutting corners on the analysis.
Launched today: https://www.producthunt.com/posts/clearscan
Built solo as an M.Sc. student. Would genuinely love some feedback.
@swagat_subhash_kalita Thanks for sharing this, and building it solo as an MSc student while dealing with the exact problem yourself makes this hit different. Getting silently rejected by an ATS with zero explanation is one of the most demoralizing parts of early job hunting, I remember that feeling well.
Showing the full breakdown instead of just a single score is the right call, a black box number is almost worse than no feedback at all. Pricing it at €3.99/month instead of locking students out at $50/month like Jobscan is a genuinely good call too, that price gap alone will win you users.
Congrats on the launch. If you're open to it, would love your feedback on AI Hive as well, an automation platform I'm building, any review is appreciated
@nolan_vu Thank you so much Nolan, this genuinely means a lot! You described it perfectly, a black box number is almost worse than no feedback at all, that's exactly why transparency became the core of ClearScan.
And yes, the price gap was a conscious decision from day one. Students shouldn't have to choose between groceries and understanding why their resume is being rejected.
Checked out AI Hive, What I liked most is that you're solving the "last mile" problem of AI adoption, not just another LLM wrapper. That's a real gap.
One honest thought: the onboarding could be clearer for someone who lands cold. I wasn't immediately sure if this was for developers or business teams or both. A clearer "who this is for" line early on would help. Automation for teams sounds really interesting, especially the compliance angle. Would love to connect and follow each other's journeys!
@swagat_subhash_kalita Thanks so much for taking the time to check out AI Hive and share that feedback, this is exactly the kind of honest read we need right now while we're tightening things up before the next launch.
The "who this is for" gap you flagged is 100% fair. We've been trying to speak to CTOs, engineering leads, and business teams all in the same breath and it dilutes the message. Going to work on making the primary audience clear within the first section of the page. And yes on the compliance angle for team automations, that's where we've been seeing the strongest pull from mid-market and regulated industries. Would love to stay connected too, always up for learning from other builders solving real problems.
What I'm building: SDR GROW, an outbound system that wins clients for recruitment and staffing agencies. Instead of one person emailing one contact and hoping, it hits every layer of a target company (the CEO from a CEO address, managers from a manager's, execs from an exec's) across 16 touches over 60 days, email plus LinkedIn. By the time that company needs to hire, they already know the agency's name. One person running my dashboard does the job a whole SDR team used to.
Who it's for: recruitment and staffing agency owners, the ones tired of feast-or-famine billings, living on referrals, and watching one client make up half their revenue. People who want a steady flow of hiring-manager meetings instead of an empty desk.
The hardest part I'm solving right now: getting in front of those agency owners myself. The product builds authority-led pipeline for them, but I'm a solo founder still building my own audience, so the hard part is distribution: reaching the right owners at scale without burning the credibility the whole thing is built on. Practicing what I sell, basically.
@abir_hossain11 Thanks for laying this out clearly, the layered outreach hitting CEO, manager, and exec level across 16 touches over 60 days is a genuinely well thought out system, not just another cold email tool.
The distribution problem you mentioned is the real bottleneck for basically every solo founder building an authority-led product, it's almost ironic that a tool built to solve pipeline problems for others has the same pipeline problem itself. Practicing what you sell is the right instinct though, that consistency will pay off with the exact buyers you're targeting.
What I’m building: PennyOne — a proactive AI operator for communication and scheduling. It helps manage the work around messages and meetings, while requiring approval before consequential actions.
Who it’s for: Busy founders and professionals who spend too much time coordinating conversations, follow-ups, and calendars.
The hardest problem: Finding the right boundary between useful automation and user control. An agent that only suggests things creates more work, but one that acts freely is difficult to trust. We’re designing PennyOne so it can be proactive without taking control away from the user.
I’d particularly like feedback on that approval model: which actions would you allow an AI operator to perform automatically, and which would always need confirmation?
https://www.pennyone.app
@ognjenadzic28 Thanks for sharing PennyOne, and that's a genuinely hard design question you're asking. The line between useful automation and user control is where most AI operator tools either get too annoying or too risky, there's not much middle ground.
To answer directly, I'd want anything that spends money, sends an external message on my behalf, or commits me to a time to always need confirmation. Internal stuff like drafting a reply or organizing my calendar view can run freely. Basically anything irreversible needs a human in the loop, everything reversible can be automatic.
@nolan_vu I like that way of thinking about it. "Irreversible vs. reversible" is a really clean way to frame it.
That's actually pretty close to how we're approaching PennyOne. Our view is that autonomy should be earned. If someone consistently approves a certain type of action with little or no editing, the system can gradually take over those low risk actions while still requiring approval for things like first outreach, financial decisions, or commitments.
The hard part is figuring out where people feel comfortable drawing that boundary. It seems like everyone has a slightly different threshold.
@ognjenadzic28 The approval-gated approach makes a lot of sense for this kind of product.
I’m curious how you think about that balance as usage grows? Is the harder problem identifying the right signals across the workspace, keeping the AI suggestions precise enough to trust, or making the context processing efficient enough for daily use?
What you're building
@VigilVault - VigilVault watches your websites, APIs and servers from four global regions and alerts you the moment they go down. But it also stores the logins and licence keys that run your business in an encrypted vault, with a legacy handover so a trusted person can recover access if you no longer can. Uptime monitoring and business continuity in one tool, from £5/mo. UK-built, GDPR-friendly.
Who it's for:
Small business owners, agencies & developers.
The hardest part your're solving now
Discovery and conversions. Any recommendations on what others have done would be great!
I'd love to know what you guys think, please if you can review and share any feedback.
@tomchubb Thanks for sharing this, combining uptime monitoring with a legacy handover for credentials is a combo I haven't seen done together before, and it makes a lot of sense once you think about it.
On discovery and conversions, what's worked for me in the past is going where the pain already lives, small dev Slack communities, agency owner subreddits, places where "what happens if I get hit by a bus" is already a live conversation. GDPR-friendly and UK-built is also a real selling point for agencies dealing with EU clients, worth leading with that more.
Good luck getting more eyes on it. If you're open to it, I'd love a look at AI Hive too, an automation flow platform I'm building, feedback or a review always appreciated:
@nolan_vu Thank you. That's really helpful and I'll give that a go.
Your product looks interesting too! And I hadn't come across Lark before either so that was a nice discovery.
@tomchubb Thank you too. Glad that you like my product. Hope that we both can still create or upgrade our products better off later on and create fascinating experience for our customers
We are building SearchSpot, an AI travel concierge for real-world experiences.
It is for the person who plans the trip everyone remembers: the one checking stay areas, food, safety, budget, weather, routes, timing, and what everyone in the group actually wants.
The hardest part we are solving is turning messy travel research into confident decisions.
Most AI travel tools generate itineraries. SearchSpot tries to answer the harder questions: where should you stay, what should you skip, what should you book first, what hidden risks matter, and whether the plan will actually work in real life.
We are live on Product Hunt today. Would love feedback from this community
@hitensethiya Thank you for sharing SearchSpot, this is exactly the kind of tool I wish existed last time I planned a group trip. Itineraries are the easy part, the real pain is exactly what you listed: where to stay, what to skip, and whether the plan survives contact with reality.
The "hidden risks" angle is what stands out to me. Most travel AI just optimizes for a pretty schedule, not for avoiding the 6am scramble because nobody checked the weather or the closing times. Would love to see how you handle conflicting group preferences, that's usually where these tools fall apart.
Wishing SearchSpot a strong launch day. If you're open to it, I'd appreciate you checking out AI Hive too, an automation platform I'm building, any feedback or review is welcome: https://www.producthunt.com/products/ai-hive