react-cornea - idmontie's Portfolio

/*@jsxRuntime automatic @jsxImportSource react*/
const {Fragment: _Fragment, jsx: _jsx, jsxs: _jsxs} = arguments[0];
function _createMdxContent(props) {
  const _components = Object.assign({
    p: "p",
    ul: "ul",
    li: "li"
  }, props.components);
  return _jsxs(_Fragment, {
    children: [_jsx(_components.p, {
      children: "GILD is a 2 player game. One person creates a Room, and the other player joins iit. Both players take turns summoning monsters using their given ingredients and having the mosnters fight. First to 3 wins is the victor!"
    }), "\n", _jsx(_components.p, {
      children: "(P.S. if you don't have anyone else to play with, you can access the site in two different browsers, or one browser using Incognito Mode)."
    }), "\n", _jsx(_components.p, {
      children: "The team that put this awesome game together in 48 hours was:"
    }), "\n", _jsxs(_components.ul, {
      children: ["\n", _jsx(_components.li, {
        children: "Gustavo"
      }), "\n", _jsx(_components.li, {
        children: "Ivan"
      }), "\n", _jsx(_components.li, {
        children: "Lauren"
      }), "\n", _jsx(_components.li, {
        children: "Daniela"
      }), "\n"]
    }), "\n", _jsx(_components.p, {
      children: "Go team!"
    })]
  });
}
function MDXContent(props = {}) {
  const {wrapper: MDXLayout} = props.components || ({});
  return MDXLayout ? _jsx(MDXLayout, Object.assign({}, props, {
    children: _jsx(_createMdxContent, props)
  })) : _createMdxContent(props);
}
return {
  default: MDXContent
};


GILD is a 2 player game. One person creates a Room, and the other player joins iit. Both players take turns summoning monsters using their given ingredients and having the mosnters fight. First to 3 wins is the victor!
(P.S. if you don&#x27;t have anyone else to play with, you can access the site in two different browsers, or one browser using Incognito Mode).
The team that put this awesome game together in 48 hours was:
<ul>
<li>Gustavo</li>
<li>Ivan</li>
<li>Lauren</li>
<li>Daniela</li>
</ul>
Go team!


GILD is a 2 player game. One person creates a Room, and the other player joins iit. Both players take turns summoning monsters using their given ingredients and having the mosnters fight. First to 3 wins is the victor!

(P.S. if you don't have anyone else to play with, you can access the site in two different browsers, or one browser using Incognito Mode).

The team that put this awesome game together in 48 hours was:

- Gustavo
- Ivan
- Lauren
- Daniela

Go team!

GILD is a 2 player game made in Meteor for Global Game Jam 2016.


GILD Game

/*@jsxRuntime automatic @jsxImportSource react*/
const {Fragment: _Fragment, jsx: _jsx, jsxs: _jsxs} = arguments[0];
function _createMdxContent(props) {
  const _components = Object.assign({
    p: "p"
  }, props.components);
  return _jsxs(_Fragment, {
    children: [_jsx(_components.p, {
      children: "Clairvoyance finds the best answers that have worked in the past and suggests them to teams using Intercom when answering similar questions."
    }), "\n", _jsx(_components.p, {
      children: "Clairvoyance was built on AWS using S3, SNS, SQS, RDS, PostgreSQL, MongoDB, Elasticsearch, and React. We created a webapp, extensions, and a microservice backend to bring real time suggestions to customer success agents using Intercom."
    })]
  });
}
function MDXContent(props = {}) {
  const {wrapper: MDXLayout} = props.components || ({});
  return MDXLayout ? _jsx(MDXLayout, Object.assign({}, props, {
    children: _jsx(_createMdxContent, props)
  })) : _createMdxContent(props);
}
return {
  default: MDXContent
};


Clairvoyance finds the best answers that have worked in the past and suggests them to teams using Intercom when answering similar questions.
Clairvoyance was built on AWS using S3, SNS, SQS, RDS, PostgreSQL, MongoDB, Elasticsearch, and React. We created a webapp, extensions, and a microservice backend to bring real time suggestions to customer success agents using Intercom.


Clairvoyance finds the best answers that have worked in the past and suggests them to teams using Intercom when answering similar questions.

Clairvoyance was built on AWS using S3, SNS, SQS, RDS, PostgreSQL, MongoDB, Elasticsearch, and React. We created a webapp, extensions, and a microservice backend to bring real time suggestions to customer success agents using Intercom.


Clairvoyance (renamed to Clarity Hub) finds the best answers that have worked in the past and suggests them to teams using Intercom when answering similar questions.


Clairvoyance

/*@jsxRuntime automatic @jsxImportSource react*/
const {jsx: _jsx} = arguments[0];
function _createMdxContent(props) {
  const _components = Object.assign({
    p: "p"
  }, props.components);
  return _jsx(_components.p, {
    children: "I made react-cornea to do image diffing of react components for CI/CD environments."
  });
}
function MDXContent(props = {}) {
  const {wrapper: MDXLayout} = props.components || ({});
  return MDXLayout ? _jsx(MDXLayout, Object.assign({}, props, {
    children: _jsx(_createMdxContent, props)
  })) : _createMdxContent(props);
}
return {
  default: MDXContent
};


I made react-cornea to do image diffing of react components for CI/CD environments.


I made react-cornea to do image diffing of react components for CI/CD environments.


A testing utility for generating visual diffs of your React components.
