rewarding.app - autovoter for HIVE

rewarding_app_logo.png

I've ported steemrewarding.com to the HIVE blockchain. The new domain is rewarding.app. Login is done with hive keychain or hivesigner.

All voting rules have been copied but are deactivated. You need to go to https://rewarding.app/settings and toogle:
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Enable voting to true.

I'm motivated to improve my tool, please drop suggestions as comment (I know already that the interface sucks :)).

What can rewarding.app do?

Vote by command

rewarding.app is not just a simple autovoter, it can be used to vote by leaving a command in a comment (requirement is a active authority given to @rewarding)

Thanks for your article
$rewarding 50%

Autovote only when vote power is idle

You can upvote your own posts only when your vote power is full and would be otherwise wasted. You can do this by creating a rule with:

  • yourself as author
  • min_vp set to 100
  • vote_when_vp_reached set to true
  • maximum_vote_delay_min can be set to limit the time window (e.g. 4320 means that a vote is only broadcasted within the first 3 days)

Follow curators

It is possible to create trail voting rules and set conditions when a vote is followed (e.g. exclude all posts with a specific tag).
It is also possible to follow downvoters by creating a trail downvote rule.

Stack votes

By using the delayed vote tab, it is possible to stack votes.
This can be done by setting min_vp to 100, vote_when_vp_reached to true and increasing vp_reached_order for each new stacked vote. E.g. when there are already 2 pending votes, I can add a third one, by setting vp_reached_order to 3. Whenever now the VP reaches 100% one stacked vote is casted, sorted by vp_reached_order.

Improving curation rewards

As it is not possible to vote always within the first 5 minutes, I can create vote rules for authors that create always outstanding content.
rewarding.app shows in the vote log the best time point for a optimal vote. When optimize_vote_delay is toggled to true in the settings, the time delay is automatically optimized.

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