Woody Song

Moving agents from cloud sandboxing to direct local execution feels like a major shift. Most real workflows live across files, terminals, and apps — so bridging that gap unlocks a lot of practical use cases. Curious how you handle safety boundaries when executing local commands. Is there a permission system for different levels of actions, or does every command require manual approval?

Interesting question. From what I've seen, it's less about founders not wanting families and more about timing and environment. Early-stage startups tend to consume a huge amount of mental bandwidth, not just time. Even when you're technically "off work", you're still thinking about the product, users, or the next experiment. I also know founders who built families and companies in parallel —...

Instant AI demos for SaaS is a really interesting direction. A lot of B2B products struggle with the friction between discovery and actually seeing the product. Curious how interactive the demo experience is compared to a real product environment.

Currently building AI developer tools focused on improving AI workflows. Lately I've been experimenting a lot with: • Python / FastAPI • LLM integrations • automation for developer productivity Curious what stacks other builders here are using lately.

One approach that worked well for many developer tools is: Free → core usage so people can understand the value quickly Paid → advanced workflows, automation, or scale If the free tier lets people experience the real value, conversion usually happens naturally once they rely on the tool.

For me it usually comes down to two things: 1. A very clear tagline that immediately explains the outcome 2. Something that feels like a real tool, not just a demo Developer tools especially stand out when the product solves a small but very real workflow problem.

Love seeing developer environment setups shared like this. Is this mainly optimized for Claude Code workflows or does it also work well with Cursor / other AI coding tools?

This feels like the natural evolution of maps. Is the AI answering queries using real-time map data or more like a conversational layer on top of existing search? Super curious how navigation + AI interaction will blend here.

Turning a phone into a brain performance coach is a cool idea. Are the exercises based on neuroscience research or more behavioral training? Would love to know how the progress tracking works.

This looks really interesting. Are the repeatable instructions more like automation workflows or closer to scripting for the computer? Curious how flexible it is for developers.