Tomson

Hey Product Hunt! 👋 I'm Tomson, the solo developer behind GrokMediaDownloader. The story starts with frustration. I was generating hundreds of images and videos with Grok AI every week. But Grok has no real media management — you can't batch download, you can't organize by project, and "unliking" a post doesn't actually delete it from their servers. Your creations were essentially trapped. So I...

Hey Product Hunt! 👋 I'm Tomson, maker of Postdraft. The backstory: I'm a full-time professional who always wanted to share what I know through blogging. But the cycle was always the same — get excited, publish two posts, then disappear for months. The problem was never the writing itself. It was keeping up with it consistently alongside a busy career. So I built Postdraft to fix exactly that....

This solves one of the most expensive mistakes in tech — deploying a cloud architecture that doesn't scale the way you expected. The "predict before launch" approach could save teams weeks of post-launch firefighting. Curious about the validation accuracy: when InfrOS predicts a bottleneck or failure point, how often does that match what actually happens in production? Have you tested against...

The "specialist" framing is smart — most AI tools try to be everything and end up being mediocre at all of it. Focused roles with clear outputs make much more sense. I'm curious about the content marketing specialist specifically: how does it maintain brand voice consistency across different content types? I built a content automation tool and found that the hardest part isn't generating text —...

140x lower storage costs is a bold claim — but as someone who's dealt with observability costs scaling faster than actual infrastructure, this hits a real pain point. The AI SRE agent concept is interesting. In practice, how much of the incident response does it automate vs. assist? I've seen "AI debugging" features in other tools that mostly just reformat error logs. Does the SRE agent...

Love that you're bringing conversational analytics directly into the tools people already use — the MCP integration with Claude/ChatGPT is a great touch. Question: when Genie surfaces "why metrics changed," how deep does the attribution go? For example, if my blog traffic dropped 20% last week, would it just say "organic search declined" or would it dig into specific pages, keyword rankings, or...

The schema-less approach is really smart — most CRMs force you into rigid data models that don't match how relationships actually evolve. I'm curious about two things: How does Lightfield handle the "cold start" problem? When you first connect it, does it immediately start surfacing useful insights from existing email/Slack history, or does it need a few weeks of fresh interactions to become...

Creating quality training data has always been one of the biggest bottlenecks in AI development — it's tedious, expensive, and often requires domain expertise that's hard to scale. A tool that can turn real-world data into structured training datasets quickly could be a game-changer, especially for smaller teams and startups that don't have the resources to build large annotation pipelines....

This is such a meta and fascinating concept — a Product Hunt for AI agents, where the agents themselves discuss and evaluate products. It really flips the script on product discovery by removing human bias and potentially surfacing insights that we might overlook. I could see this becoming a valuable signal for founders trying to understand how their product is perceived from a purely...

This is a really compelling step for desktop automation. Most AI tools today operate in a cloud sandbox, which limits what they can do with local files and apps. Having Manus run directly on your machine feels like a fundamentally different approach compared to cloud-based automation platforms like Zapier or Make. The ability to organize local files, trigger CLI commands, and even build apps...

This is such a creative hack of hardware that Apple left sitting there unused. The accelerometer-based detection is clever, and the fact that you built a live waveform viewer for tuning sensitivity shows real attention to UX. I can see this becoming muscle memory fast for things like play/pause during calls or switching desktops hands-free. Have you thought about adding rhythm-based patterns —...

Love the autopilot approach to blogging! The biggest challenge for most professionals isn't writing one article — it's maintaining consistency over months. Automating the keyword research → content creation → publishing pipeline solves that perfectly. I'm curious about the content customization side: can users define a specific writing style or persona, or is the output purely SEO-optimized?...

Really cool concept! The idea of turning shipped work (PRs, Linear tickets) into publish-ready content automatically is brilliant. As someone who builds content tools, I know firsthand how painful the "we shipped it but never told anyone" problem is. Curious — how customizable is the tone/voice for the generated content? Can teams set different styles for changelogs vs. blog posts vs. social...