Lakshay Gupta

Pretty cool guys! Does it infer intent and context, or is it mostly sequence-based from actions on screen?

Looks promising! Is there a way to lock or freeze certain layers like schema, auth rules or infra so AI changes don't accidently break them later?

Pretty cool! How do you keep the learning content in sync with fast-changing repos?

Really cool! What’s the biggest limitation users should expect from offline models?

What happens if the agent needs code review or visual context?

Damn, this is really helpful for an avid manga reader like me.

This looks super useful, especially for people tired of juggling between ArXiv, Google Scholar, and endless PDFs. How does Chirpz decide which databases to search from like is it limited to open-access sources or does it integrate with paid journals too?

Super interesting launch. Just wanna know how does Orchids handle state management and routing decisions when generating full stack apps like is it opinionated (like Next.js conventions) or adaptive based on project context?

Love this idea. I’ve been working on a similar problem. How are you handling context across multiple files or refactors? Is it persistent or regenerated per run?

Love the focus on preserving the creator's voice - that’s where most tools fall short. Curious, how does Syndy balance creative freedom with structured suggestions? Like, does it ever over-correct or make your tone sound too polished or generic?

This looks seriously powerful - amazing work by the team! One question though how deep does kombai’s codebase understanding go? Can it reason about folder structures, custom hooks, or internal design systems?

Wow! This is super useful. Curious how ToolSDK manages tool discovery and compatibility across 5,000+ MCP servers. Is there a unified schema or standard each tool must follow for inputs/outputs, or do developers have to write adapters to ensure their agents can interact smoothly with different services?

Great product - really timely and relevant for today's marketing! Small question though - since LLMs like ChatGPT don’t provide consistent outputs and often change responses over time or based on prompt phrasing, how does Nimt normalize or account for this variability when tracking visibility and ranking across AI platforms?

Absolutely loved the vision behind Mozart AI — finally, a tool that respects both the art and the artist. Quick question — as musicians yourselves, how did you strike the balance between giving users full creative control and letting the AI meaningfully contribute without taking over the artistic intent?

Truly impressed by GEAMC’s vision and execution. In a world where credentials are increasingly easy to fake the idea of consolidating achievements, experience, and milestones into one tamper-proof certificate on the blockchain is both powerful and practical. This could genuinely redefine how we manage and verify personal and professional credibility across borders. Congrats to the team on...

Also, love the no-code customization and gated access with auto-NDAs — super valuable for scaling startups. Kudos on the launch!

This is insanely well thought out — love how it tackles real group planning friction and the timezone chaos.

Damn this is so cool — it feels like the future of gaming. The idea of co-creating the world in real-time as you play is not just innovative, it’s a whole new genre in the making. It’s like giving players the power of a game dev and a storyteller, all while staying immersed. Crazyy!

Just loved the intentionality behind todai. Out of curiosity — how do you balance between helpful AI suggestions and not overwhelming the user with too much interpretation or “fix-it” advice?