Daily Metrics alternatives

The Enterprise & Agency Solution for Content Planning, Community Management and Social Customer Service. Perfectly balance your social media management with our world-class social media tool and ideal infrastructure for an efficient social media team.

An event analytics platform that allows anyone to get answers from their customer and revenue data in seconds. It offers powerful real-time charts and visualizations of how people interact with your digital products and company.

Geckoboard's software makes it quick and easy to build live TV dashboards, which focus teams on the metrics that matter to a business.

Klipfolio is the new way everyday people and their teams make informed decisions, backed by data. Klipfolio is a data analytics cloud app for building and sharing real-time business dashboards and reports on web browsers, TV monitors and mobile devices. Klipfolio helps you stay in-the-know and in control of your business by giving you visibility into the KPIs and metrics that matter most.

Lever builds modern recruiting software for teams to source, interview, and hire top talent. Our team strives to set a new bar for enterprise software with modern, well-designed, real-time apps. As the applicant tracking system of choice for Netflix, Eventbrite, Cirque Du SoleiI, Yelp, change.org, and thousands more leading companies, Lever means you hire the best by hiring together.

DeFi Pulse is a site where you can find the latest analytics and rankings of DeFi protocols.

Databox is an easy-to-use analytics platform for growing businesses. By connecting all your tools, you can centralize your data in one place and then visualize, track, analyze, and report on key metrics across your entire organization. We’ve taken powerful analytics features, normally found in complex enterprise tools, and made them accessible for growing businesses. Now, anyone on your team can use data to make better decisions and improve performance.

Deepmark AI is a benchmarking tool that enables assessment of several large language models (LLM) on various extrinsic (task-specific) metrics (e.g. accuracy, relevance, failure rate, latency, etc) on your own data, so your AI apps have reliable performance.