I wrote up how we approached the gap between local browser automation and production workloads. The post covers the core pieces of a browser use cloud runtime: hosted Chromium instances, CDP support, Playwright compatibility, persistent profiles, and live debugging.
For makers building AI agents that interact with web pages, the main pain point is usually reliability and observability. A cloud runtime gives you a consistent environment, avoids local resource constraints, and lets you inspect what the agent actually sees in real time.
I spent the past 3 months building an AI-powered batch image generation platform for e-commerce sellers.
You connect your own AI image API, upload product photos, set your brand style, and generate hundreds of marketing visuals in one click all through a visual node-based workflow.
Hey everyone we just launched Sovereign Voice on Product Hunt today. It's a Mac app that runs Qwen3-TTS 0.6B entirely on your machine via MLX on the Metal GPU. No cloud, no API keys, no per-character fees. Voice cloning from a 3s sample, 10+ languages, ~5-9s latency on M-series chips. The thesis: your MacBook has a neural accelerator sitting idle most of the time. If you're a podcaster, voiceover artist, or someone who records sensitive material, you shouldn't have to pay per character and trust a third party with your voice model. Free download with 25 generations. Pro is $19 one-time for unlimited generation. PH page: https://www.producthunt.com/post... Landing: https://sovereign-voice-landing.... I'm here all day happy to answer technical questions about MLX performance, the Qwen3-TTS architecture, or why we chose DMG over App Store distribution.
Building in public and wanted to share what I m shipping.
LexScan lets you paste any contract or just describe your situation in plain English and get a structured legal memo back: red flags, severity scores, what to negotiate, what to walk away from.
The use case is the gap between I can t afford a lawyer for this and I have no idea what I just signed. A lease, a freelance agreement, a SaaS subscription with a 90-day cancellation trap buried on page 4.
5 free analyses, then $9 for 50. No subscription. Credits never expire.
Every client project I've worked on ends the same way: documentation. Setup guides, handoffs, "how do I edit my own site" walkthroughs. Screenshots into a doc, tidy it up, export a PDF that's outdated by the next change. It's real work and usually the unpaid, unloved kind.
What I can never quite tell: does everyone just accept this as part of the job, or have some of you found genuinely good ways to make it less painful?
So I'm curious how you all handle it
What do you use today: Notion, Confluence, Google Docs, Loom (or video walkthroughs in general), PDFs, something custom?
What's the worst part: writing it, keeping it up to date, or making it look professional for the client?
Do clients actually read it, or does it vanish into an inbox?
