Compare Rcs and Hive and Blocksize

ok in my last posts I compare some Marketcaps in a useless way. But one point would be interesting.

What if hive would be around 200$?

Besides the point, it would need much more users and much more dapps, smart contracts, and so on.

We ignore all the points we come to that level.

More interesting is, how much benefit needs 1 Hive to deliver. Hive can better scale than all other chains I know. Because it is super cheap to run a node ( 60$-100$ a month). Even if the price would 5x-10x it would be cheap compare to other cryptos costs. And yes, witnesses maybe need more support from 21-100+ to let the chain decentralized :).

let's start:

Because I'm not a super technical expert and Rcs work in some way how many hive is powered up / supply-demand. I do stuff simple.

First: How much Hive ( equal Rcs) need a Wallet to use Hive fully.

I would say between 15 Hive and 25 Hive for the average users.

So let's say 25 Hive is value = 1

396M Hive total supply would support in Rcs a maximum of 15.840.000 Users ( sure it's not correct in any way because of Blocksize, powered up Hive, supply, and demand).

To get the data a little bit more accurate we use Powered up Hive for data.

Around 140M are vested ( powered up). Would be enough for 5.600.000 Wallets (with the point to blocksize and so on, I know there would be another way to look at how many transactions possible per Block and do it the other way around).

So let's say 5,6M active users would be 100% usage ( today we have 15k wallets daily transacting).

would be a daily user increase by a factor 373x ( I'm also sure costs would increase for nodes with this user increase).

We also ignore the fact some dapps transact more like an average user.

Why don't use accurate data? Because there is no accurate data. it's too dynamic.

Costs in RCs are always compared to usage. So static data is 100% inaccurate but can show a trend. Even if all numbers wrong.

Let's do the inaccurate analysis with incorrect data.

First how much Rcs (in hive power) could spend an app in a delegation for a user to have a benefit? Or in other words, how much $ is a user worth to make a profit as a dapp at a minimum.

With this, we can get more accurate data to compare to the inaccurate data to see some trend. Because this would be compared to a USD value.

Let's say an Hive user on average brings the dapp around 15$/ month. Advertisement revenue, buy stuff, or whatever.

So an dapp would spend in Maximum 10$ per user ( is even the price of other apps on the low-end value Users).

Before someone says mimimi that's expensive, Hive with RC delegations let Token holders invest Rcs in a Dapp like venture capital or Energy. As Return can be a revenue share or gov Token. So there is less a barrier as you maybe think.

Another benefit is, you pay only for active users, other than in WEB2. If the user is inactive = no RC cost. And I also know, marketing costs money too. But let it less complicated :)

Because an Dapp doesn't need 25 Hive per user for 100% usage, we say the factor is 40% of it. Because not every user would use 100% all day (would only be the case if the user uses many dapps at the same time).

It would be around 10 Hives Rcs

And if we count RC delegations in, the number would be much lower to, because inflation control would be on the Token Holder.

X factor	Token Price	Max users	Blocksize	Dapp benefit area (10 Hive=User at 40%)
1	0,6$	5,6M	64KB	6$
10	6$	5,6M	64KB	60$
50	30$	5,6M	64KB	60$

If we count now in the factor 20 Blocksize increase Numbers would be this:

X factor	Token Price	Max users	Blocksize	Dapp benefit area (0,5 Hive=User at 40%)
1	0,6$	100M	1MB	0,3$
10	6$	100M	1MB	3$
50	30$	100M	1MB	3$
250	180$	100M	1MB	15$

Which trend shows us the inaccurate data?

Hive can scale easily and allow normal users at an affordable price to use Hive Blockchain. Even if the data is wrong by factor 3 in Maximum Users, it would work fine. Also, Blocksize could be also increased by a factor of 25.

So if a sidechain use Hive, it would be an easy and cheap thing for them with all the benefits. Special in FINTECH space.

Mass adoption Trend analyses

For mass adoption, we need to lower the cost for an average user to the maximum possible and allow power users to build business models around this.

As cheaper Hive becomes to use, the better it is for token price and scaling. We will become to a point, the Blockchain benefits would be this massive, Web2 looks like the stone age.

And this should be the key long-term.

Even if all data is semi wrong to totally wrong, the trend would be the same, the costs per user could be different. But the point is to become an idea of what is possible and possible longterm goals.

Some words to the end.

Yes, data is useless.

Yes, it says nothing for now.

Yes, it ignores a lot of things.

Yes, it doesn't touch the wallet creation.

BUT, cheaper computing power in the future + lower costs to run Hive per average user will be the key to become really big.

And as more Users Hive has, as cheaper it becomes automatically to run Hive per User. Is what industry does all the time with everything. Big market = cheaper average cost per customer.

One thing we should prevent, bad customer experience. Like 10$ hive and expensive transactions. RC Delegations are a good and efficient first step in the right direction.

To Blocksize increases.

the best case to the start (for now) would be on-demand and later set price points or time points to increase the size.

Otherwise, it would be a bit too random and a to witness heavy decision. Entrepreneurs need to plan the costs for long-term game plans. A cool thing would be to pitch. Use Hive today and have access to more power tomorrow.

The endgame would be something like this. So why not make it plan able?

Thank you to allow me to steal your time with this useless data :)

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