Closed friedger closed 4 years ago
Would love more feedback from the community on this! Also minimum payouts and proposal discussed here.
Does it make sense do a simulation with 300k$ or what is the next step? @ginaAdam
We're currently discussing this proposal and other changes to the payout amount and structure. Please stay tuned.
With the announced 3% of 1m STX reward scheme:
See https://docs.google.com/spreadsheets/d/1xQrGclubYJzYHVqUYxZqXXtkRTYQSrEJ1udA67OF0oY/edit#gid=0
Won't happen
What is the problem you are seeing? Please describe. App publishers ranking 25 and lower get less than 100$ paid out
How is this problem misaligned with goals of app mining? This does not align with the goal to increase the number of apps.
What is the explicit recommendation you’re looking to propose? The following payout algorithm is proposed:
For the rest the following formula is applied where A =IF(LOG(RANK,2) = FLOOR(LOG(RANK,2)), 100002/RANK, AMOUNT_RANK_MINUS_ONE(1-(2*POW(10,-FLOOR(LOG(RANK,2))))))
or in other words every power of 2 the award is divided by 2 and within these award blocks the one below received 20%, 2%, 0.2%,.. less than the one before
Calculate the correcting factor as monthly pot divided by sum of all base values for all apps.
Then the new award for an app is: base value times correcting factor.
Describe your long term considerations in proposing this change. Please include the ways you can predict this recommendation could go wrong and possible ways mitigate.
The new formula tries to keep a similar shape than the original algorithm.
With a monthly pot of 100k$ this gives For 50 apps, a minimum payout of 600$, max payout of 14,000$ For 150 apps, a minimum payout of 115$, max payout of 11,000$ For 250 apps, a minimum payout of 103$, max payout of 9,900$ For 1000 apps, a minimum payout of 20$, max payout of 7,800$
This suggests that existing app publishers do not have an interest in onboarding new app publishers. However, with the new algorithm, the more app publishers onboard the more publishers benefit from a higher rate in comparison to the origin algorithm.
Additional context
25
A simulation can be found here