Hoosat Network 1.3.2 Nocturne released!
Implemented its own GPU miner.
The Hoosat project adheres to the "ONLY GPU" policy. This implementation of the hoohash algorithm significantly complicates the work for fpga and asic.
The existence of our own miner allows us to control the speed of development of modified algorithms, modified algorithms, if necessary.
Hoosat Network has our secure Proof of Work hash validation implemented already on mainnet,
which works against nonce spamming,
now we are moving faster and updating our algorithm to level the playing field for GPU's more than before.
HTN Nocturne includes:
Hoohash V1.1.0 algorithm update,
Database change from LevelDB to Cockroach Db's Pebble,
Threaded Block relay,
Modified block mass calculation to support more input UTXO's for compounding.
The new Nocturne settings:
5 BPS
500 TPB
K 18 to 40
Max Block Mass 500,000 -> 1,000,000
Finality Duration: 24 hours -> 3 hours
Pruning Depth: ~72 to ~42 hours
Merge Depth: 6 min to 0.5 hours
Max Block Parents: 10 to 12
The Hard Fork will happen:
Daa Score: 43,334,184
Time and date: Mon, 21 Jul 2025 12:29:26 GMT
node
https://github.com/Hoosat-Oy/HTND/releases/tag/v1.3.2run hode
./HTND.exe --utxoindex --reset-db
bridge
https://github.com/Hoosat-Oy/htn-stratum-bridge/releases/tag/V1.2.2run bridge
./htnbridge
miner
https://network.hoosat.fi/downloads/hoominer-linux.tar.gz./hoominer --stratum stratum+tcp://192.168.100.60:5555 --user hoosat:qqkftxs9u0jd69puaaux0wjxqmvun99ms4jehyl3u7wsva9f6af7yd7wn9sm0 --password x --disable-cpu
about algo hoohash
Hoohash is a proof of work algorithm designed to address the growing disparity between general-purpose CPUs and highly specialized hardware like GPUs, VPUs, FPGAs, and ASICs.
By attacking the efficiency of parallel processing,
Hoohash forces specialized hardware to invest more resources to achieve higher hashrates, thus reducing the gap between general-purpose CPUs and custom-built units like ASICs.
Hoohash presents a fresh approach to hashing algorithms, specifically designed to limit the advantage of highly parallelized systems, making it harder for specialized hardware to dominate (FPGA
& ASIC ). By doing so, it democratizes access to efficient computational power, ensuring that the performance gap between CPUs and specialized units is significantly narrowed.
https://network.hoosat.fihttps://discord.gg/FwvdNrmt