riyakhanna1983

For founders of early-stage (Seed to Series A) AI startups:

Are you finding it realistic to meet the growth expectations set by VCs, especially given the current funding environment and competitive landscape?

How are you balancing the need for rapid traction with the challenges of hiring, infra costs (e.g. GPUs), and customer acquisition in noisy AI markets?

Would love to hear from others on how they're navigating this.

NeuralAgent [1] is an agent that uses your computer, it moves your mouse, types, scrolls, clicks just like a human using a computer would, it can execute a wide variety of tasks including but not limited to writing documents.

1. https://www.getneuralagent.com

With claims that AI might take over programming jobs in the near future, is it still a good idea to teach kids coding? How many parents here would want their children to learn programming? I’d love to hear your thoughts on this!

Frustrated by our own challenges with Kata Containers, we have developed a new hypervisor from scratch that can run each Docker container in isolation (i.e., no shared host kernel), with native performance (i.e., no virtualization runtime overhead or cold starts).

We have been using it internally with K8s for a while now. What business models could we explore to commercialize this technology? We are thinking of licensing model for enterprises.

Frustrated by our own challenges with Kata Containers, we have developed a new hypervisor from scratch that can run each Docker container in isolation (i.e., no shared host kernel), with native performance (i.e., no virtualization runtime overhead or cold starts).

We have been using it internally with K8s for a while now. What business models could we explore to commercialize this technology? We are thinking of licensing model for enterprises.

Frustrated by our own performance challenges with Kata Containers, we have developed a new hypervisor from scratch that can run each Docker container in isolation (i.e., no shared host kernel), and with native performance (i.e., no virtualization runtime overhead or cold starts).

We have been using it internally with K8s for a while now. What's would be the best way to commercialize this technology? We are thinking of licensing it and seeking design partners.

We're working on a project that requires handling and responding to events. Is there a way to deploy Python functions similar to CloudFlare JavaScript workers? AWS Lambda cold starts are unacceptable to us.

What voice-powered apps you see being adopted in the near future? Curious to know if you're working on such apps.

Posting again for (hopefully) a wider reach this time.

Developers of open-source software tools/packages under a dual license, how do you track who is using your "free" software so as to sell the commercial license?

Developers of open-source software tools/packages under a dual license ("free" as well as commercial) , where/how do you track who is using your "free" software?

One of the compliance requirements of the recent Cybersecurity EO order is to track software bill of materials (SBOM). Curious to know what open-source tools exist to generate SBOM and how accurate they are.