Piar.io - SaaS tool for inbound/outbound marketing and sales. Piar.io helps you create attractive links and previews for any social networks and messengers, customize and personalize them, get detailed statistics on clicks and audience structure, analyze and compare different preview options.
Creating short links for posts on social networks and messengers. Links can be customized for more attractiveness and user-friendliness. By adding your own domain, you can create your own link.
Create attractive previews and customize each element, including images, headlines, and descriptions for all major social networks or messengers. Customizing and even personalizing the preview helps to get the most attention from the audience. Accurate and attractive link previews can boost clicks on your content and help you get the engagement you deserve.
Powerful statistics allow you to analyze not only the number of clicks on your link in social networks and messengers but also the structure of the audience: geodata (countries, cities), devices, platforms, browsers.
A/B testing of different preview options and easy comparison of results allows you to quickly test hypotheses and make optimal decisions about your interaction with the audience on social networks and messengers.
Based on our record, TimescaleDB seems to be more popular. It has been mentiond 5 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.
(:alert: I work for Timescale :alert:) It's funny, we hear this more and more "we did some research and landed on Influx and ... Help it's confusing". We actually wrote an article about what we think, you can find it here: https://www.timescale.com/blog/what-influxdb-got-wrong/ As the QuestDB folks mentioned if you want a drop in replacement for Influx then they would be an option, it kinda sounds that's not what... - Source: Hacker News / 8 months ago
If you like PostgreSQL, I'd recommend starting with that. Additionally, you can try TimescaleDB (it's a PostgreSQL extension for time-series data with full SQL support) it has many features that are useful even on a small-scale, things like:. Source: almost 2 years ago
I have built a Django server which serves up the JSON configuration, and I'd also like the server to store and render sensor graphs & event data for my Thing. In future, I'd probably use something like timescale.com as it is a database suited for this application. However right now I only have a handful of devices, and don't want to spend a lot of time configuring my back end when the Thing is my focus. So I'm... Source: over 2 years ago
I've seen a lot of benchmark results on timescale on the web but they all come from timescale.com so I just want to ask if those are accurate. Source: almost 3 years ago
Ryan from Timescale here. We (TimescaleDB) just launched the second annual State of PostgreSQL survey, which asks developers across the globe about themselves, how they use PostgreSQL, their experiences with the community, and more. Source: over 3 years ago
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