Zecnero
Mining guide

How mining Zecnero will work.

Zecnero has not launched and the node has not been released. This is the procedure it will follow: install the node, give it your address, let it run. A normal desktop CPU is all this chain asks for.

What you need

CPUx86-64 or ARM64
Memory2.5 GB free, plus the node
DiskUnknown until the chain runs
OSLinux, glibc 2.34+

No GPU needed. RandomX is built so the most efficient hardware for it converges on an ordinary processor, so a GPU adds little. That is the point of the choice.

01

Download the node

Nothing is published yet. When it is, check the release signature and the SHA-256 sums before you run it.

02

Get an address

Your rewards land here, so make it one you control. No wallet has been released yet; the wallets page tracks that. A mining address is transparent and starts with N1. Write the seed phrase down on paper before you mine a single block.

03

Configure

The node takes your payout address. Thread count belongs to the miner, in step 04.

zecnerod.toml
[mining]
miner_address = "N1…your address"
04

Start mining

terminal
# the node serves block templates
$ zecnerod start

# the miner and the bridge that feeds it are not released yet

The node syncs first, then serves block templates to the miner over the bridge. A block you find is spendable 100 blocks later.

05

Solo or pool

Solo

You keep the whole block subsidy when you find one: 6.25 ZMR, less the 3% founder stream, plus the fees in the block. Blocks arrive on average every 75 seconds, and which miner finds each one is chance.

Pool

A pool splits what it finds among its miners, so payouts are smaller and steadier. No pool exists yet. When pools do exist, spreading across them keeps any one of them from getting large enough to matter.

06

Questions

Can I mine on a laptop?It'll run. Laptops get hot and throttle, so lower the thread count and keep it plugged in.
Will an ASIC show up?RandomX runs randomly generated programs whose instruction mix and memory behaviour are modelled on general-purpose processors, so hardware built for it converges on a general-purpose processor. Dedicated RandomX hardware sold so far has shown little efficiency advantage over a high-end desktop chip. If hardware with a large advantage does appear, the proof of work can be changed by a network upgrade.
Stuck syncing?Open an issue on GitLab with your log output.