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dakoller

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I am working on an AWS <-> Slack integration (https://dev.aws2slack.com/), which allows you to interact with your AWS accounts from inside Slack using CLI commands.

Additionally you get Trusted Advisor checks and CloudTrail event notifications, which you can e.g. use to get alerted on unauthorized API access.

I use it (even when I cannot compare it to Stripe):

+: - Focus on an easy to use API for payments on websites/backends, - support for subscriptions, - sending money out to you once per week, - a light way to maintain customer data, - due to the technical solution which they choose (token contains payment data) you don't have to worry about PCI and so on on your infrastructure.

Main point is that the setup is super-fast.

SEEKING WORK Data geek / data scientist in Munich,Germany or remote

Implementation of web apps using Python/ Django, doing data related tasks in R, experience in Semantic web & natural language processing using python-based NLTK. Machine learning based on Hadoop and Twitter Storm. DBs: Postgres, MySQL and MongoDB

Deployment experience in Heroku

I like the approach too: You may think of using entities along the Linked Data mantra to compare not only by characters, but with the complete meaning of the term. (e.g. compare "Palmyra" with http://dbpedia.org/page/Palmyra ) In the Linked Data world you can use the SKOS vocabulary to define/store relationships like the ones you mentioned. ( http://www.w3.org/2004/02/skos/ ) To ease the task on linguistic checks you may check the WordNet datasource. ( http://wordnet.princeton.edu/ )

A good point: today only the Sparks in Google+ bring some light to what can be possible: for me the key enabling social network development through topic related information exchange.