We've been building Genie - an AI analyst inside Databox, and one thing kept coming up in user research: people don't lack data. They lack fast answers.
Dashboards exist. Reports get built. But when someone asks "why are signups down this week?" or "are we on pace to hit our revenue target?" - getting a clear answer still takes hours.
We're launching Genie on Product Hunt on March 18th, and we'd love to hear from you before we do:
What's the moment where your current analytics setup lets you down most?
Let me start from the creator s perspective: I personally don t have a product (apart from hiring people for creative work or offering personal consultations).
But as a creator, I constantly share content, insights, and information, value that helps me build trust (for free). Based on that perceived expertise, people eventually decide to work with me (a paid service).
I posted a random thread on X about the cost of living in the Netherlands. Nothing about what we're building. Just genuine thoughts about life in the Netherlands.
It hit 1M+ impressions. And here's the weird part we got a ton of signups and paid users for Starnus from it. Without ever mentioning the product.
Meanwhile, my "here's what Starnus does" posts? Way less engagement.
This genuinely messed with my head. I'm sharing the actual X post below
I have been thinking about situations where clients specifically ask for AI agents to simplify a process. On the surface, it sounds reasonable. They want something intelligent to classify, route, or decide. But when we go deeper into the actual workflow, we often find that the logic is completely structured. It might just be routing leads based on budget, geography, or service type. In those cases, a simple if-else condition or a fetch record from a table would solve the problem cleanly.
Another common case is using AI to analyze structured form submissions. If the inputs are predefined dropdowns and checkboxes, there is nothing to interpret. A fetch record or rule-based filter is cleaner, cheaper, and easier to maintain.
So the real question is this: are we adding AI agents because they actually do the job better, faster, or more efficiently? Or are we just throwing AI into the mix because it sounds cool and everyone else is doing it?
We're launching Rover on Feb 25th, but the preview is live right now and we want your honest takes before we go big.
What it is: One script tag on your website your users get an AI agent that takes real actions inside your UI. Clicks buttons, fills forms, runs checkout, guides onboarding. Through conversation.
Hi Product Hunt! I m Lili, one of the Engineers at Warp who built Oz an orchestration platform for cloud agents. Oz helps devs run coding agents at scale safely with orchestration, observability, a unified local <> cloud experience. I worked on setting up our cloud environments with all the tools agents need to run code (there is a lot to unpack here, getting cloud agents to work on arbitrary base docker images was more challenging than you might think!), surfacing agent runs and artifacts like PRs and plans in our desktop and web apps, and integrating the Oz agent directly into GitHub actions. Building with and on top of Oz has been so much fun. The platform is incredibly flexible, and the primitives we ve built unlock a whole new level of experimentation and automation. AMA about how we built Oz, our favorite use cases, and where we see the platform going!
I d like to share iPhotro v4.0.0, a free and open-source, local-first photo manager that recently gained a set of advanced color grading tools.
This release focuses on giving photographers precise control over color and tone, while keeping a clean, non-destructive workflow and a familiar, macOS-like interface.
We launched dark mode for Tonkotsu earlier this week. It was written entirely by Tonkotsu with 63 completed tasks. My involvement was exclusively during planning and verification (the classic barbell shape described here).
We're looking for early users willing to test Polyvia and
give feedback. Ideal if you're:
- Building AI agents or multimodal workflows
- Working with documents heavy on charts, diagrams,
infographics
- Frustrated with RAG missing visual data What you get: Early access to Polyvia API + MCP Server Direct line to the founders for support Input on what we build next Interested? Sign up here: https://polyvia.ai/#access Or drop a comment happy to answer any questions first!
A 3-year search for a simple tool to track both personal and business finances in one place. Nothing fits.
Website owners constantly need minor edits in the admin panel. They are forced to pay specialists for 5-minute tasks. We need an AI agent that does this on command in the browser.
An indie hacker spends 20-30 hours manually cold launching each new product in directories, Reddit, and blogs. There is no tool that fully automates this and proves its effectiveness.
A freelancer often loses in proposal competitions due to the inability to quickly create personalized and visual website concepts for each job order.
A Telegram channel owner is losing their audience without understanding the reasons for unsubscriptions. There is no simple tool for automatically collecting feedback from departed subscribers.
We shipped it. Halo is your AI assistant, embedded directly on your website. Customers ask questions. Halo answers. They book appointments. Halo handles it. One script tag, 5 minutes, done.
New AI models pop up every week. Some developer tools like @Cursor, @Zed, and @Kilo Code let you choose between different models, while more opinionated products like @Amp and @Tonkotsu default to 1 model.
Curious what the community recommends for coding tasks? Any preferences?
