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Bullish.emailBased on our record, iko.ai should be more popular than Bullish.email. It has been mentiond 13 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.
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
You can start by subscribing to newsletters that can give you some exposure to all these topics and you can learn at your own pace. WSJ newsletters are pretty good. I run a stock market newsletter targeted for casual and beginner investors https://bullish.email. - Source: Hacker News / over 2 years ago
When the pandemic caused havoc in the stock market last year, my husband and I developed https://bullish.email/ - a daily newsletter that delivers important stock market info without frills. It is simple, clean, and valuable. We send stats (futures, performances, etc) before the market opens and after it closes (top gainers, losers, and performance). This way, you don't need to look for info; you consume it. Source: about 3 years ago
JarvisLabs.ai - Let's make AI simple
Alpaca Data API - Free real-time stock market data API
Censius.ai - Building the future of MLOps
Alpaca - Open links from Slack via desktop apps: Notion, Spotify, Zoom, Miro, Telegram, Airtable, Figma and VK.
Vast.ai - GPU Sharing Economy: One simple interface to find the best cloud GPU rentals.
DailyStockMarketData.com - Daily stock market data in a convenient CSV