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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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Great stuff. It’s awesome that you're trying to speed up AI agent deployment for enterprises.

My question is: what is your real advantage here? Since you are a new player and there are already other established players in this space, why can't they do this job just as fast, and what actually sets you apart?


As for what I’m building: I’m creating VertoX, the world’s first real-time speech translation system that preserves the speaker's original voice, tone, and emotions. We have no direct competitors in what we are doing.


Our ICP is literally the entire world. It doesn't matter if you're an enterprise company, a student, a traveler, or a government agency; VertoX is here to completely eliminate the language barrier globally.

 Fair question on differentiation - the honest answer is that the big players (, IBM) are slow and expensive, and lightweight tools don't scale for enterprise compliance. We sit in the middle: faster deployment, on-prem support, and our own engineers go in with the customer rather than just selling a platform and wishing them luck.

VertoX sounds like a genuinely hard problem to crack, voice + tone + emotion preservation is a completely different beast from text translation.

 Got it, that makes total sense. So instead of just selling SaaS, you’re taking a hands-on, implementation-first approach.

That raises an interesting unit economics question though: if you're embedding your engineers with customers to deploy in weeks, doesn't that make scaling harder and more resource-intensive? As customer volume grows, engineer burnout and hiring costs could become a real bottleneck. Curious how you're planning to scale that model long-term without hitting financial strain.

(Honestly, the more I learn about products, the more business model questions I have 😄)

And thanks for the words on VertoX! You’re spot on; it’s pure deep tech. My core goal with VertoX is simple: give people back their time, which is the most valuable asset we have, and save billions that are currently wasted on complex multilingual operations. People should just communicate seamlessly.

What am I building?
Founder's Climb, a journaling app that helps founders see how far they've actually come by measuring progress from where they started, not where they wish they were.

Who's it for?
Early-stage founders and solo builders who feel behind every single day even though they're actually making real progress.

Hardest part right now?
Distribution, hands down. I built the thing but getting net-new people to even discover it exists is the whole battle. Where do you post when you don't have an audience yet? Which channels are worth ad dollars at a tiny budget, and which are a money pit? I'm doing daily build-in-public content on TikTok, YouTube Shorts, and X, but I honestly can't tell yet what's driving downloads versus just views. If you've cracked early distribution for a consumer app, I'm all ears.

Product Hunt Launch:

 The problem you're solving is real and honestly underrated - founders are terrible at seeing their own progress because they're always measuring against where they wanted to be, not where they started. That framing alone makes this worth trying.

On distribution: TikTok Shorts worked way better for us early on than anything paid. The bar for "authentic founder content" is low enough that even rough, unedited stuff gets traction if the hook is specific. Upvoted and following. If you have a moment, would mean a lot if you checked out AI Hive:

What we are building: - an AI data analyst that forms hypotheses, finds the root cause, and tells teams what to do next (not just another dashboard). Not just a text2sql, does the hard work needed before and after the data is retrieved.

Who it's for: CXOs, strategy teams, head of departments. Anyone who is inclined towards data backed decisions and struggling with finding root cause of their problems.

Hardest part right now: Understanding use cases of different industries and building integrations.

Product Stage: Open for beta requests.

PH Link:

Demo query link:

 The "not just another dashboard" framing is doing a lot of work here and I mean that in a good way. Root cause analysis before and after data retrieval is the part most tools completely skip, and that's usually where the real value is for strategy teams.

The cross-industry use case problem is genuinely tough though. Rooting for you to crack it! Already followed and upvoted.

Thank you  - It took a few months of hard work and a few years of imagination. Would love for you to try it, we have a 10 day free trial period.

 thanks for the invitation, let me check with my team to see if we can help you with this.

🚀 Motion Editor launches today!

An open-source AI-native motion editor built with a modern workflow for 2D/3D animation.

Product Hunt launch: 4 PM KST.

Developers can already clone and run it locally:

#OpenSource

 Congrats on the launch, Jon. Open-source AI motion editing is a pretty interesting direction, especially with how much demand there is for animation workflows right now. Hope the Product Hunt launch brings in plenty of contributors and early feedback for the project.

Im building a website that's also mobile friendly that creates the 2x2 passport and visa photo online in seconds. Just Upload your picture, crop it to official size, and download a print-ready passport photo with no registration required, no personal data is collected and is free no paywall just set up adsense to help with hosting fees.

Im on here to collect feedback to make the site as easy to use as possible

 Nice idea, Bobby. I can definitely see this being useful for people who only need a passport photo once and don't want to install an app or pay for a subscription. Keeping it simple and registration-free is probably the right call here. Good luck collecting feedback and refining the UX.

Building Reality Filter - a hype-check for AI launches.

You paste in any AI tool or model and get one verdict: worth trying now, watch later, too early, or mostly fog machine. Plus a "fog meter" for how much of the claim is still unproven. Every verdict names its sources - actual benchmark numbers and named reviewers, never "reports suggest".

Two deliberate choices: the calls are dated and public and I don't quietly edit them (one already flipped from "too early" to "worth trying" when GA landed, and the original call is still on the record), and one verdict is "mostly fog machine" on a product doing $1.2B ARR. If it only ever agreed with press releases it'd be worthless.

Free, no signup to read a verdict:

The thing I actually want to know: when a launch you're unsure about drops, what do you do right now - ignore it, ask someone, or dig it out yourself?

 Thanks for sharing this Bharat. The public and dated verdicts are what caught my attention. Most review tools quietly revise history, so keeping old calls visible makes the trust factor much stronger. Personally, if I'm unsure about a launch, I usually look for real user feedback first before digging deeper myself.

Cursor for product managers and for the company

Meet Vernais.

AI transformed how software gets built.

Developers now ship code faster than ever.

But one thing hasn't changed.

Deciding what to build.

Product teams still spend hours switching between Slack, Jira, customer support, CRM, analytics, meeting notes, documents, and roadmaps trying to answer the same questions:

  • What is actually costing us customers?

  • Which problems should we solve first?

  • Why was this decision made?

  • What should we build next?

Most AI tools answer a question once.

Then the context disappears.

Vernais works differently.

Vernais connects your conversations, customer feedback, meetings, documents, tickets, analytics, and product tools into a single product brain. Instead of searching across dozens of disconnected apps, your team gets one place that understands the complete context behind every product decision.

Every recommendation is backed by evidence. Every answer links to the conversations, documents, tickets, and customer feedback that produced it. If there isn't enough evidence, Vernais simply says:

"I don't know."

Every initiative becomes a living record that automatically updates as new customer feedback, meetings, tickets, releases, and documents are added. Your team never loses the reasoning behind a decision, even months later.

What you can do with Vernais

  • Connect Slack, Jira, Notion, CRM, customer feedback, meetings, and analytics into one workspace.

  • Discover recurring customer problems before they impact revenue.

  • Understand why product and business metrics changed.

  • Turn scattered conversations into evidence-backed product decisions.

  • Keep every initiative automatically updated as new information arrives.

  • Preserve the reasoning behind every roadmap decision.

  • Give your entire team a shared product brain—not another AI chatbot.

Private Beta

Today we're opening Vernais to our first users through an early private beta.

Join the waitlist at .

As we onboard new teams, we'll automatically generate and send an invite code—there's no need to contact us separately. If you don't receive one immediately, you'll receive one as soon as new spots become available.

We're building Vernais alongside founders, product managers, designers, and engineering teams, and we'd genuinely love your feedback as we shape the future of AI-powered product management.

Thank you for checking out Vernais. ❤️

What I'm building: leaving this blank on purpose, and that is the whole point.

Who it's for: same.

The hardest part I'm solving right now: someone told me this week they could not tell what my site does just by looking at it. So I am not going to pitch it here. If I explain it first I will never find out whether the page can explain itself.

So here is the link instead. Open it for five seconds, close the tab, then tell me what you think it does and who it is for. "No idea" is the most useful answer you can give me and I would rather hear it today than keep guessing for another two weeks.

Happy to say what it actually is once someone has had a go.

What I'm building:
blok — a native desktop chat platform for communities. Discord-style servers with voice, video, and screen share, plus an AI co-pilot (.t) baked right into the chat that summarizes channels, runs polls, and translates messages on the fly.


Who it's for:
Communities and small teams who are tired of bouncing between Discord and a separate stack of AI tools just to keep up with what's happening in their channels. Also gamers/community folks who'd enjoy a bit of extra fun — there's a gacha loot system (XP, quests, cosmetic loot boxes, no pay-to-win).


The hardest part I'm solving right now:
Low-latency native voice with proper echo cancellation, built in Rust on top of Tauri. Getting that audio engine feeling as snappy and reliable as Discord's took way more tuning than I expected. Screen share and video are still experimental — being upfront about that since it's public beta, Windows-first for now.


Would love feedback:

  • What: Salesman AI, an AI sales copilot for call preparation, rehearsal, analysis, and follow-up.

  • Who: AEs, SDRs, and founder-led sales teams.

  • Hardest problem: Turning scattered buyer and call context into specific, actionable guidance instead of generic AI notes.

Product Hunt link -

Salesman AI homepage -

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