Cal.com VS Neuro

Cal.com Reviews

Neuro Reviews

Cal.com mentions (53)

• Start your own (side) business with open-source in mind

  Cal.com is an open-source event-juggling scheduler for everyone, and is free for individuals. - Source: dev.to / 3 months ago

• Fellow HSP entrepreneurs, how do you manage your energy and stress?

  I force clients who want to talk to me to book a call. I use cal.com (free) and my Google Calendar (which its linked to) only allows calls on specific days/times. I have a few "Call Blocks" where they can book. That let's me do calls in a small section of my week, with ample downtime to recover the rest of the week. I'm still learning how many calls a day I can handle. Currently anything more than 2 is too much. Source: 6 months ago

• 🔥🔥 Our awesome OSS friends 😍

  Cal.com- Cal.com is a scheduling tool that helps you schedule meetings without the back-and-forth emails. - Source: dev.to / 6 months ago

• Cal.com Selfhost Issue: Deploying cal.com on selfhost environment gives prisma is not defined issue.

  Has any one deployed cal.com with selfhosted environment. Is yes how would have configured prisma for the same. Source: 7 months ago

• Open Source, EVERYTHING??

  Recently I came across a company called cal.com, it's a Calendly alternative, but the catch is the entire software is open source: https://github.com/calcom/cal.com. Source: 8 months ago

Neuro mentions (4)

• Is there any practical way or roadmap to learn ML without all the backstage things like theorems,proofs in maths etc. , Like learning how to use ML libraries and frameworks and deploy models?

  Projects are definitely the best way to learn models. Build things for fun that do things in topics/fields that you care about or think is cool. a few years ago when I was getting into ML stuff I build fantasy football things that weren't even useful but provided an actual use case. Then I did more complicated stuff with photography and lighting because I did real estate photography. As far as ML libraries go,... Source: almost 3 years ago

• [D] Serverless GPU?

  So far I’ve seen AWS Sagemaker kind of allows for a situation like this, but would rather not deal with all that config. Algorithmia and Nuclio are too enterprise focused. Neuro is new and looks great, but from my understanding I would still need to create a lambda instance myself that then calls neuro’s servers - too indirect. Is there a total solution out there for this? Source: almost 3 years ago

• [P] Silero NLP streaming on serverless GPUs (~300ms latency)

  A couple of weeks ago I put out a post on DeepSpeech running on the serverless setup at Neuro (https://getneuro.ai), and I've now got Silero running there as well. I've found this model is a lot faster than DS and way more accurate. Seeing around 300ms per request at the moment, hopefully will be closer to 100ms soon but this is a pretty decent speed in this application already. Source: about 3 years ago

• [P] Deepspeech streaming to serverless GPUs

  I just made a streaming script connecting Deepspeech to serverless GPUs at Neuro (https://getneuro.ai). Was a fun piece of work, and cool to play around with. You can find the source here: https://github.com/neuro-ai-dev/npu_examples/tree/main/deepspeech. Source: about 3 years ago