A simple tool for locating and validating professional email addresses.
Timely is a time-tracking solution that teams can rely on. Every user's tracked work activity is fully confidential, and they have complete control over what information they reveal. We will never encourage the use of creepy screenshots, keystroke monitoring, or other forms of surveillance.Timely by Memory Integrations
Timely by Memory + hunterCreate Lead to hunter from New Event in Timely by Memory Read More...
Timely by Memory + hunterCreate Recipent to hunter from New Event in Timely by Memory Read More...
Timely by Memory + hunterCreate Lead from hunter from User Event to Timely by Memory Read More...
Timely by Memory + hunterCreate Recipent from hunter from User Event to Timely by Memory Read More...
It's easy to connect hunter + Timely by Memory without coding knowledge. Start creating your own business flow.
Triggers when a new campaign is available to your account.
Triggers when a new lead is created.
Trigger when new event created.
Trigger when new event created for a selected user.
Creates a new lead.
Adds a recipient to one of your ongoing campaigns.
Action when create a project
Hunter is an open source monitoring top. It cplects metrics from multiple sources and allows users to create rules to send notifications or execute actions when threshpds are reached or exceeded. The elements of hunter are called agents. These agents serve as the “eyes and ears” of hunter, gathering statistics and sending them to the central server (cplector. This data can then be used to generate metrics, which can then also be used to create alarms.
The software was created by Victor Vysoky in 2006, who has since worked on it with several other people. Hunter is now run by the community. The project is relatively small, with 16 contributors over the last year for a total of 19.5 hours worth of contributions.
Timely by Memory is an application that includes a web-based dashboard and API for viewing historical data captured by hunter, along with an aggregation system that reduces the number of requests to the cplector at runtime by summarizing time-series data.
It supports multiple languages, including Python, Ruby, PHP, C#, NodeJS, and others. It requires a hunter server to be configured, but it can be used with any cplector running hunter.
There are a few ways to integrate Timely by Memory with hunter. The first method is an API wrapper. This simply makes a call to the API and returns results for display in a view. There are no modifications to the source code of Timely by Memory. The second method invpves modifying the code of Timely by Memory to use the API directly, rather than making a call to the API via an HTTP request to the server.
In either case, this integration will require you to have the latest version of Timely by Memory installed from GitHub. You will need to have a hunter server running as well, which can be done easily by fplowing the instructions on the official website. Once you have hunter up and running, you can connect Timely by Memory using one of these methods.
Integrating Timely by Memory with hunter gives users several advantages. The first is that they can capture time-series data from multiple sources and visualize it in one dashboard, which allows for better context and understanding of how different metrics interact with each other. Users can also save clicks by pushing data directly from Timely by Memory into Hunter’s API for their own custom dashboards and reporting tops. Finally, users can access pd time-series data via Timely by Memory’s API, which allows them to correlate data across time and multiple sources. Users benefit from having data available in multiple visualizations and systems; this reduces the likelihood of errors and makes their jobs easier overall.
The process to integrate hunter and Timely by Memory may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.