Instrumentl
Award Force
Submittable
Bloomerang
Oracle NetSuite
Sage Intacct
Salesforce for Nonprofits
Accounting Seed
Gyana
Amie
Deepnote
DataQuest Beta
Daisho
Data Science from Scratch
The Art of Data Science
Kyso
Gyana is a no-code data science startup headquartered in London. Their flagship platform enables any business user to become a citizen data scientist with a few clicks-instead of training on hours of coding. Gyana is co-founded by Oxford graduates David Kell and Joyeeta Das and backed by tech leaders such as Biz Stone (co-founder of Twitter). Since their inception in 2016, they remain passionate about democratizing access to data science and have won many awards for pushing data-driven culture forward by participating in critical global projects."
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Based on our record, Instrumentl seems to be more popular. It has been mentiond 1 time 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.
Instrumentl | Remote (incl Global) | Senior Full Stack Engineer | https://instrumentl.com Instrumentl is the best platform for nonprofits and grant writers looking to grow revenue (YC S16). We are profitable and our revenues are growing faster than at any point in the company's history! We are looking for a seasoned generalist to be a force multiplier on our tiny (2 person!) engineering team. If you are looking to... - Source: Hacker News / almost 3 years ago
Award Force - Award Force is recognised as the world’s #1 awards management software, trusted by organisations across the globe to recognise excellence in their field.
Amie - GitHub for research and data science
Submittable - Submittable is an easy-to-use online submission manager.
Deepnote - A collaboration platform for data scientists
Bloomerang - Bloomerang is a simple donor database and fundraising software solution that helps nonprofits decrease donor attrition and increase revenue.
DataQuest Beta - Codecademy for Data Science