Software Alternatives, Accelerators & Startups

Neuro VS Cal.com

Compare Neuro VS Cal.com and see what are their differences

Neuro logo Neuro

Instant infrastructure for machine learning

Cal.com logo Cal.com

Cal.com (formerly Calendso) is the open source Calendly alternative.
  • Neuro Landing page
    Landing page //
    2021-12-03
  • Cal.com Landing page
    Landing page //
    2023-10-08

Neuro videos

High Yield Neurology Review for Step 2 CK & Shelf Exam

More videos:

  • Review - Neurological Disorders Quick Review, Parkinson's, MS, MG, ALS NCLEX RN & LPN
  • Review - High Yield Neurology Review for USMLE and COMLEX with Dr. R

Cal.com videos

What can you do with Cal? | Cal.com Version 1.1 Launch | 10 new languages

More videos:

  • Review - Cal.com Version 1.0 Launch Event

Category Popularity

0-100% (relative to Neuro and Cal.com)
Developer Tools
100 100%
0% 0
Productivity
0 0%
100% 100
AI
100 100%
0% 0
Appointments and Scheduling

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Neuro and Cal.com

Neuro Reviews

We have no reviews of Neuro yet.
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Cal.com Reviews

I've poked around a while ago at some Calendly alternatives (specifically was lo... | Hacker News
I tried using https://cal.com for a bit but ended up just switching over to https://zcal.co and it has been great so far. All these other scheduling tools end up trying to do too much and always seem to end up a bit clunky and charge absurd amounts for it

Social recommendations and mentions

Based on our record, Cal.com seems to be a lot more popular than Neuro. While we know about 53 links to Cal.com, we've tracked only 4 mentions of Neuro. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

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

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: 5 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
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What are some alternatives?

When comparing Neuro and Cal.com, you can also consider the following products

Lobe - Visual tool for building custom deep learning models

Calendly - Say goodbye to phone and email tag for finding the perfect meeting time with Calendly. It's 100% free, super easy to use and you'll love our customer service.

Opta - Opta is a new kind of Infrastructure-As-Code framework designed for fast moving startups.

SavvyCal - A scheduling tool both the sender and the recipient will love.

mlblocks - A no-code Machine Learning solution. Made by teenagers.

zcal - zcal is the fastest way to schedule every meeting for Free and make it personal.