The analysis above shows that despite the powerful services offered by large cloud service providers like AWS, there's still a significant learning curve for developers to effectively utilize these services. This might explain the emergence of AI Infra products like LangSmith, Modal, and LaptonAI, which aim to be one-stop service providers for AI applications. We, on the other hand, take a different approach by... - Source: dev.to / 22 days ago

I'm going to make a left field suggestion and say Modal Labs if you're mostly Python based: https://modal.com/ It should work with other languages through Docker and their Python API, but I can't speak to the ease of deployment in that case. - Source: Hacker News / about 1 month ago

I recommend checking out https://modal.com It’s “serverless” and You only pay for the compute you use. - Source: Hacker News / about 2 months ago

Apart from Supabase, I use Modal. I consider it the best hosting service for running ML and AI processes in Python. - Source: dev.to / about 2 months ago

I'm curious if people's qualms around abstracting the cloud/network also apply to the https://modal.com product. Differential seems like a similar project at its core, just focused on the Typescript + microservices ecosystem. - Source: Hacker News / 3 months ago

But an hour later, when I checked AutoRepurpose's ranking on Hunted.space, to my surprise, we were in 2nd place! However, this kind of early success can be deceptive, as other products often catch up at an insane pace, and I usually end up back around 8th. - Source: dev.to / about 2 months ago

Hunted.space product hunt live stats that could support ads. - Source: dev.to / 6 months ago