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:

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'am building:

RunbookAI is an AI-powered incident response platform that detects production incidents from engineering signals (starting with GitHub, with Slack and other tools integrated later), investigates root causes autonomously, generates actionable runbooks, and helps engineering teams resolve incidents faster using AI agents.

Who it's for:

Software engineering teams, DevOps engineers, SREs, platform teams, and engineering organizations that want to reduce incident response time, automate root cause analysis, preserve operational knowledge, and onboard engineers faster.

The hardest part solving right now:

Building a reliable AI investigation engine that can accurately detect incidents from engineering activity, correlate information across multiple sources (GitHub, Slack, CI/CD, logs, etc.), determine probable root causes with minimal hallucination, and generate trustworthy, executable runbooks that engineers can confidently use during production incidents.

 Incident response is one of those areas where the gap between "AI sounds useful here" and "AI actually works reliably here" is really wide. The correlation across GitHub, Slack, CI/CD, logs in real-time without hallucinating probable root causes is a hard technical bar. But if you get it right, the value is massive, especially for on-call engineers who are already context-switching at 3am.

The trustworthy executable runbook piece is where I'd want to see more detail — that's probably the hardest thing to get right consistently. Would love to follow this closely.

Building: adextract - one MCP server that connects AI agents to ad libraries (Meta, TikTok, LinkedIn, and more)

For: Claude power users and AI agent builders who need programmatic access to competitor ad data

Hardest part right now: Every ad library is a different silo with no API. The scrapers that exist break on every DOM change. Making a single endpoint that survives layout shifts across four platforms while returning clean structured JSON — that's the real problem.

PH Listing -

 This is such a niche but real problem, every ad library being its own silo with zero API access sounds like a nightmare to maintain long term. Scrapers breaking on every DOM change is something I've heard complaints about from a few people doing competitor research manually too, so adextract solving that pain point directly makes a lot of sense.

Returning clean structured JSON across four different platforms without everything falling apart is honestly the hardest engineering problem in this space right now. Respect for tackling that head on instead of building something surface level.
Rooting for adextract to keep growing, already upvoted and following to see progress. If you don't mind, would love your feedback on as well, it's an automation flow platform for AI agents:

building: an AI calorie tracker that lives in WhatsApp, Messenger, Telegram. Snap a photo, send a voice note, or just type your meal. Calories and macros calculated in ~20 seconds. No app to download, no login, no diet guilt.

for: everyone who quit MyFitnessPal, Lose It!, MacroFactor, etc. because manual logging is exhausting, not because they stopped caring.

hardest part: distribution. We're chat-native with nothing to install, but that also means no App Store to be discovered in. How are other no-app products getting found? Genuinely curious.

 Thanks for sharing, calorie tracking living inside WhatsApp/Messenger/Telegram instead of another app to download is such a smart distribution insight, most people quit MyFitnessPal from logging fatigue, not lack of motivation.

Your distribution question is a genuinely hard one. My take: lean into shareability inside group chats (friends tracking together) since that's the one growth loop that doesn't need an app store at all.

Upvoted and following to see how you crack this. Would really appreciate you checking out too, automation flows for productivity, an upvote/follow back would be awesome

i built a free online party game (salad bowl game / fishbowl) — it's the classic party game but digital so you don't need paper or pens. the whole idea came from being annoyed at how much setup the traditional version needs. launched on ph today actually, still figuring out what i'm doing lol

the hardest part right now is just getting people to try it. building was the easy part apparently

just launched my first product today too — it's a party game not an ai tool but still feels wild to have something out there that people can actually use. congrats on the mrr btw that's no small feat for a non-technical founder

the ai word generator thing is actually pretty cool for party games lol. like you type "harry potter" or "startup jargon" and it just fills the whole bowl for you. saved me so much time when i was testing with friends

honestly curious what everyone's retention looks like for ai products? i feel like there's so much launch hype but then people forget about it after a week

the devdrafts concept is actually smart — one quality pick daily instead of drowning in 10k tools. the directory fatigue is real

publishai looks solid honestly. book descriptions are such a pain point for indie authors, most of them hate writing marketing copy even more than they hate editing their actual book lol

- What you're building?
An AI-powered client onboarding platform that automates and simplifies the onboarding process.
- Who it's for:
Agencies, consultants, freelancers, SaaS businesses, and service providers who onboard clients regularly.
- The hardest part you're solving right now:
Eliminating manual follow-ups, scattered information, and repetitive onboarding tasks to create a faster, smoother client experience.


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