This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
tool for exploring regularly sampled time series data - rajivsam/tseda See https://rajivsam.github.io/r2ds-blog/posts/tseda%20announcement/ for a summary of features.
Time series data one of the most common types of data. Sure you can throw the data into a black box network and get what the next value is, but to maximize the impact from having collected the data, you need to understand the structure within it. That's what this tool does for you. This tool is meant for developers of analytics tool applications with time series data.
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About tseda on Product Hunt
“Understand what is in your time series data”
tseda was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #154 on the daily leaderboard. tool for exploring regularly sampled time series data - rajivsam/tseda See https://rajivsam.github.io/r2ds-blog/posts/tseda%20announcement/ for a summary of features.
tseda was featured in Internet of Things (225.6k followers), Developer Tools (511.1k followers), Artificial Intelligence (466.4k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 181.1k products, making this a competitive space to launch in.
Who hunted tseda?
tseda was hunted by Rajiv Sambasivan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how tseda stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Rajiv Sambasivan