Software Alternatives, Accelerators & Startups

Omdena VS WIP.co

Compare Omdena VS WIP.co and see what are their differences

Omdena logo Omdena

Collaborative platform to build real-world AI

WIP.co logo WIP.co

Work in progress. We are a community of makers who help each other ship product.
  • Omdena Landing page
    Landing page //
    2023-03-27
  • WIP.co Landing page
    Landing page //
    2023-09-28

Omdena videos

Build a Stand-Out Data Science Project Portfolio With Omdena

More videos:

  • Review - What is the Real Value of Artificial Intelligence? | Omdena
  • Review - Why should you join the Omdena AI family?

WIP.co videos

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Category Popularity

0-100% (relative to Omdena and WIP.co)
AI
100 100%
0% 0
Business Community
0 0%
100% 100
Chatbots
100 100%
0% 0
Startup Community
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Omdena should be more popular than WIP.co. It has been mentiond 8 times since March 2021. 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.

Omdena mentions (8)

  • Ideas for good ML related projects?
    If you’re having trouble finding a personal project, you could join a project on Omdena. The project I did stood out on my resume and my interviewer and I talked about it a lot during my interview. Source: about 1 year ago
  • Collaborative Project Platforms in Computer Vision
    I am a recent graduate who is eager to gain hands-on experience by working on real-life projects in the field of Computer Vision. I am aware of Omdena, which offers a platform for open collaborative projects. I have found it to be a wonderful opportunity to work on practical projects while learning from peers and industry professionals. Are there other platforms similar to Omdena where I can contribute and learn?... Source: about 1 year ago
  • Ask HN: Best way to “donate” dev hours to charity?
    I'd say doing some sort of training might be the most beneficial thing you can bring to the NGOs. There are also organizations such as Omdena (https://omdena.com/). They solve different challenges and would probably appreciate some support, even some sort of mentorship. We supported them that way at Qdrant, and organized a semantic search workshop, while one of their local chapters was implementing a chatbot. - Source: Hacker News / about 1 year ago
  • 7 Best machine learning communities to advance your skills in 2022
    If the current competitions on Kaggle aren’t to your liking, some other data science competition platforms worth checking out include AICrowd, Omdena, MachineHack, DrivenData, and Zindi. - Source: dev.to / about 2 years ago
  • I am a developer/ML scientist looking to quit my day job and work on fixing climate change.. Any suggestions/advice?
    Https://omdena.com/ gives new challenges to engineers to build AI solutions combatting climate change. Source: over 2 years ago
View more

WIP.co mentions (2)

  • Wake up call
    Have you seen wip.chat... I'm not really suggesting it (since they charge you money) but same idea of posting goal points/checkboxes. Source: about 1 year ago
  • App ideas for a side hustle income
    Another concept that's interesting/maybe motivating is wip.chat though I don't suggest it (not free). But it's neat (public todo's). Source: almost 2 years ago

What are some alternatives?

When comparing Omdena and WIP.co, you can also consider the following products

Launch Library - Hundreds of resources on how to launch literally anything

Indie Hackers - Connect with fellow entrepreneurs, developers, and bootstrappers who are sharing the strategies and revenue numbers behind their companies.

DiscreetAI - Build better AI by using on-device data

Makerlog - Makerlog is the dead-simple task log that helps you stay productive and ship faster.

BaseTen - The fastest way to build ML-powered applications

Whereoware - Digital agency building award-winning, behavior-driven websites, emails, + mobile applications, and getting huge results with data integrations.