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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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Love this thread. Jumping in.

Building AskCodi — one agent, Codi, that sits on top of your coding tools. It routes each task to the right model and the right agent (Claude Code, Codex, or a skill), so you ship more and burn ~50% fewer tokens.

Who it's for: builders drowning in per-tool agent setups, and the ~400k folks who left AskCodi for the terminal — it became the thing they left it for, minus the juggling.

Hardest part right now: getting the router to know when it's wrong. Picking the best model is easy on paper; knowing mid-task that the approach is off and correcting without burning a full iteration is the real problem. Still tuning it.

PH:

Just launched today — genuinely curious what this crowd thinks.

 The router problem is underrated. Most people focus on which model is best overall but the real value is knowing which model to use mid-task when the approach is clearly going sideways. That's the hard part and it sounds like you're actually working on it.

Following the launch. Would love a quick look at AI Hive from you, building workflow automation and always value feedback from people deep in the agent space:

What I'm building: ToolVerity — independent discovery for 329+ active AI tools across 114 categories, with comparisons, use-case guides, and free founder claims/corrections.

Who it's for: teams choosing AI software, plus AI founders who want an accurate, discoverable page for their product.

The hardest part: earning trust — keeping editorial rankings independent while offering optional, clearly labeled $29/month Featured placement.

Founders can submit free here. I'd especially value feedback on the claim flow:

 Really respect the honesty around the trust problem Joseph, that's the exact tension every discovery platform faces. Keeping editorial rankings independent while offering paid placement is a tightrope, and being upfront about the $29 label is the right call. Curious how you're handling the founder claim flow, is there a verification step to stop people from claiming products that aren't theirs?

What you're building
Yoggi, a safe and age-adaptive AI companion for children, with chat, voice, image creation and parental controls.

Who it's for
Children aged 3–15 and parents who want to introduce them to AI in a safer, supervised environment.

The hardest part you're solving right now
Giving children freedom to explore AI while keeping the experience safe, age-appropriate and connected to their parents.

 The parental control + age-adaptive part is what makes this different from just "kid-friendly ChatGPT." That's a hard balance to get right without making it feel too restricted for the kids or too open for the parents. Genuinely interested to see how you handle the 3-7 age bracket specifically.

What I'm building: DueGently — A tool that watches unpaid invoices and automatically sends those awkward emails so you don't have to.

Who it's for: Freelancers, Small Agencies, Consultants, SaaS Founders, Solo Studios

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

Free to try:

PH listing:

 "Watches unpaid invoices and automatically sends those awkward emails" is genuinely one of the best one-liners I've seen for a product. Nailed the problem in one sentence. Zero ad budget from Serbia going 100% organic is a tough road but the IH/PH community is probably your best bet early on.

Followed and upvoted your launch. Building AI Hive in the automation space and would really appreciate a look and any feedback you have:

Product Intro

Check out NFile () — a fully browser-run local file manager. Everything runs right on your device, zero file uploads to any server, so your privacy stays locked down.

Standout features

  • Double-click PSD source files to edit directly

  • Local AI face search for all your photos

  • Directory snapshots: save previews of huge messy folders to browse easily

  • Full image & video toolkit: batch compress pics, capture video frames, scan duplicate files

  • Built-in hex viewer for devs, plus file search, ZIP archive tools, OCR image search and more

Who’s this for?

Photographers, graphic designers, developers, and regular folks drowning in messy local files.

My current situation

I quit my full-time job to build this, so I’ve got zero steady income right now. I’m actively looking for testers to try NFile and send me feedback to polish the tool.

Free access

Test it out for free here:

 Congrats on taking the leap patpat, building this full-time takes real guts. Love the browser-run, zero-upload privacy angle, and the local AI face search is a genuinely useful touch. How does it hold up performance-wise on really large directories, does it scan on demand or preload the snapshots?

I've been building a product that rethinks the paper receipt — turning it into a digital touchpoint that helps retail and food businesses actually retain and understand their customers, instead of losing them the moment they walk out the door.

The core problem I'm trying to solve: most small and growing businesses have no idea who their repeat customers are, no easy way to reach them again, and no simple way to understand what's actually driving sales. Existing solutions tend to require heavy POS replacements or enterprise-level data tools, which puts them out of reach for a lot of business owners.

What I'm building includes digital receipts, automatic loyalty recognition, a simple customer dashboard, and plain-language AI insights (like flagging at-risk customers or peak hours) — designed to sit on top of a business's existing setup rather than replacing it.

I'm still in active development and testing with real merchants, and I'd genuinely like input from this community, especially if you've built something in retail tech, loyalty, or POS-adjacent spaces:

  • Have you seen products try to solve this "customer disappears after purchase" problem before, and what made them succeed or fail?

  • For those who've sold into small/mid-sized businesses, what's usually the biggest blocker to adoption — price, integration effort, or something else?

  • Is there a feature here that seems like a "nice to have" versus something that would actually change behavior?

Would appreciate any perspective, whether from experience building similar things or just as someone who's dealt with this as a customer or business owner.

 Really like the angle here, especially the "sit on top of existing setup" part. Most loyalty tools I've tried either require full POS replacement or are so basic they don't actually change customer behavior. The biggest blocker for small businesses I've seen isn't price tbh, it's the fear that something will break their current checkout flow during a busy shift.

What I'm building: Baron Buff — AI Companion & Coaching app for League of Legends. It provides guidance on champions picks&bans, game tips around how to play the lane/mid/late game phases as well as win conditions and jungle lane pressure, live item builds and post-game feedback report. Key differentiation is that it has no ads and no overlay, which makes the UX cleaner and the app lighter.

Who it's for: League of Legends players of any elo who play Ranked games and want to improve their skills.

Hardest part right now: Growth marketing. The product has proven market-fit with paid customers in Asia, Europe, North and Latin America but growth is slow with a marketing budget around $1k/month.

Free to try:

PH listing:

 Proven market-fit across Asia, Europe, and Latin America with $1k/month marketing budget is actually a strong signal - most products burn way more before finding that. The no-ads no-overlay call is smart, the LoL community has strong opinions about bloated overlays.

What I'm building: Ciente — Brazilian Fintech investments app. It has 3 parts: 1. Open Finance app that connects investments from multiple platforms and makes it easier to manage the portfolio, 2. AI financial assistant that has context about the user portfolio and helps with understanding the current position and improvements directions, 3. Independent financial consultants marketplace. The ambition is to break the market status quo of the investments distribution channel also holding the advisory layer.

Who it's for: People with R$100k-R$1MM invested and don't trust the biased advice from their financial institution.

Hardest part right now: Building in a regulated industry can be very complex as all the processes, suppliers and infrastructure to ensure compliance can be taxing on both costs and time-to-market.

Waiting list available at:

PH listing:

 Building in a regulated industry while trying to move fast is genuinely one of the hardest combinations in fintech. The three-layer approach (open finance + AI assistant + independent advisors) is ambitious but the independence angle is what actually differentiates it from what banks offer in-house.

Upvoted and on the waitlist. Would love your take on if you get a moment - compliance is a big part of what we solve too

What I’m building:

Netlio — an AI networking assistant that helps founders turn their existing network into warm intro paths and first outreach actions.

Who it’s for:

Founders and small teams who rely on relationships for fundraising, hiring, sales, partnerships, or career opportunities, but do not have time to manually inspect every contact and mutual connection.

Hardest part right now:

Making the first recommended action feel trustworthy. It is not enough to say “you know someone who knows them.” The product needs to explain why this person is worth reaching now, why the timing makes sense, which path is warm enough, and what the smallest good ask should be.

Still early, and I’m especially interested in whether founder fundraising or sales/partnership outreach feels like the sharper first use case.

 The trust problem you're describing is the core challenge for any warm intro product. "You know someone who knows them" is weak signal. The why now + why this path + what to actually ask is what makes it actionable vs. just informational. Sounds like you're building toward the right thing.

Upvoted! If you get a chance, would love a look at AI Hive - we're solving a similar "bridge the gap between knowing and doing" problem on the enterprise AI side:

  • What I'm building:
    Blooou : a stock information platform that helps people research stocks using natural language. Instead of searching across multiple websites, users can ask questions about companies, earnings, news, financials, or market trends and even professional data.

  • Who it's for:
    Retail investors, students, and anyone who wants to make better investment decisions without spending hours reading reports, earnings transcripts, or financial news.

  • The hardest part I'm solving right now:
    Delivering AI responses that are fast, accurate, and easy to understand while working with constantly changing financial data. The goal is to make stock research feel like having a knowledgeable analyst available 24/7.

 The 24/7 analyst angle is the right framing for retail investors - most of them don't have 3 hours to parse an earnings call and just want to know if the number matters. Natural language on top of financial data is exactly where AI actually adds value vs. just looking useful.

Real-time accuracy on constantly changing financial data is genuinely one of the hardest infra problems in this space, so props for taking it on.

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