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iko.ai might be a bit more popular than Mural. We know about 13 links to it since March 2021 and only 10 links to Mural. 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.
Https://mural.co/ Mural has a free tier. I did not used it much but was nice. - Source: Hacker News / 9 months ago
How you formulate your research questions e.g. Research objective generation workshop and where you store and manage your backlog e.g. mural, miro, excel, uxbacklog. Source: about 1 year ago
Transparency of work. Whether youre using https://mural.co for collab analysis, usertesting so people can observe or something as simple as https://uxbacklog.co for a research backlog, giving visibility to the team really helps in building awareness and UR expectation but also gets UR in the pipeline / process. Source: about 1 year ago
For instance, mural.co is pretty good. However, it doesnt have the feature I described with which you can colapse knots od your mindmap. Source: over 1 year ago
Super early on in the brainstorming stage we'd use something like mural.co for the "ideating" stage and then quickly move to lucidchart for diagrams and early architecture. Source: over 1 year ago
We built a fascinating platform, https://iko.ai, that allows you to train, track, package, deploy, and monitor machine learning models with real-time collaborative notebooks on your own Kubernetes clusters. Source: almost 2 years ago
Hi, Edwin. I'm in the process of integrating Stripe to https://iko.ai. I recently discovered Portal (https://stripe.com/docs/billing/subscriptions/integrating-customer-portal) and I thank you for that. Less code for me. I'm a bit ashamed to say, but I'm having trouble with checking if the customer has a valid subscription. I'm currently only storing the customer_id in the database and retrieving the information... - Source: Hacker News / about 2 years ago
That was one the reasons we do "bring your own compute" with https://iko.ai so people who already have a billing account on AWS, GCP, Azure, DigitalOcean, can just get the config for their Kubernetes clusters and link them to iko.ai and their machine learning workloads will run on whichever cluster they select. If you get a good deal from one cloud provider, you can get started quickly. It's useful even for... - Source: Hacker News / about 2 years ago
We built an internal platform to streamline this that allows us to train, package, deploy, and monitor models (very shameless plug for our product https://iko.ai that we started because I was tired of watching colleagues look from the window to see if their train was here because they had to come to the office to train their model on the "powerful machine" and they spent 6 hours in commute every day and at some... Source: about 2 years ago
We built https://iko.ai which offers real-time collaborative notebooks to train, track, package, deploy, and monitor machine learning models. Source: over 2 years ago
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