Tx 40b2bcc128414120671698ab5ee9b812931e1635@37336869
Included in block
37,336,869
at 2019-10-16 15:00:03 (UTC)
Raw transaction
ref_block_num | 46,866 |
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ref_block_prefix | 2,362,686,814 |
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expiration | 2019-10-16 15:09:57 |
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operations | 0. | 0. | comment |
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1. | parent_author | "" |
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parent_permlink | steemhunt |
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author | onyechi |
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permlink | hawkeye-learn-where-people-look-in-your-products |
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title | "Hawkeye - Learn where people look in your products" |
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body | "# Hawkeye
Learn where people look in your products
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## Screenshots
<center><img alt="IMG_20191016_155902_886.JPG" src="https://s3-us-west-2.amazonaws.com/steemhunt/production/steemhunt/2019-10-16/cf950f65-IMG_20191016_155902_886.JPG"/></center>
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## Hunter's comment
Hi guys, Hawkeye is a platform that let's you understand what the users of your products are thinking. You see what confuses them, what gets their attention, why they take certain actions etc. Hawkeye is a great research and analytics platform.
>Understanding user behavior is essential to improving your products. Hawkeye makes it easy to learn from your users and have fun while doing it.
>Hawkeye uses the True Depth camera on new iOS devices to perform eye tracking. This means Hawkeye works without out any extra hardware
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## Link
https://www.usehawkeye.com
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<center><br/>![Steemhunt.com](https://i.imgur.com/jB2axnW.png)<br/>
This is posted on Steemhunt - A place where you can dig products and earn STEEM.
[View on Steemhunt.com](https://steemhunt.com/@onyechi/hawkeye-learn-where-people-look-in-your-products)
</center>" |
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json_metadata | {"tags":["steemhunt","analytics","palnet","marlians","tool"],"image":["https://s3-us-west-2.amazonaws.com/steemhunt/production/steemhunt/2019-10-16/cf950f65-IMG_20191016_155902_886.JPG"],"links":["https://www.usehawkeye.com"],"community":"steemhunt","app":"steemhunt/1.0.0"} |
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extensions | [] |
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signatures | 0. | 205a1c70a2b8cbdacffef02bb471f2a53159f873acc29e8c5bf24691155a8c56fb3cc71a7808b76e6bce891895a7f5ac3ba15ecf8a50e799087ebc122893125c3b |
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transaction_id | 40b2bcc128414120671698ab5ee9b812931e1635 |
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block_num | 37,336,869 |
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transaction_num | 14 |
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