What is this?

This chart displays Kaspa's network hashrate and mining difficulty over time. Hashrate measures the total computational power dedicated to mining Kaspa blocks, expressed in terahashes per second (TH/s). Kaspa uses the kHeavyHash algorithm — a proof-of-work function specifically designed to be friendly to optical mining hardware and energy-efficient ASICs. Unlike Bitcoin's SHA-256, kHeavyHash incorporates a matrix multiplication step that makes it suitable for next-generation photonic computing while remaining resistant to FPGA-only advantages.

Mining difficulty in Kaspa adjusts on a per-block basis, not in fixed epochs like Bitcoin's 2016-block adjustment period. This continuous difficulty adjustment means the network responds almost instantly to hashrate changes — if miners join or leave, block times remain close to the 1-second target without the lag that Bitcoin experiences. The DAG structure (BlockDAG via GhostDAG consensus) allows parallel blocks to coexist, so brief hashrate spikes don't cause orphan chains but instead get incorporated into the DAG.

Higher hashrate directly translates to greater network security: an attacker would need to control more than 50% of the total hashrate to attempt a reorganization attack. For Kaspa, the combination of high hashrate, 1 BPS block rate, and DAG-based finality makes such attacks exponentially more expensive compared to single-chain architectures.

How to use this data

Rising hashrate signals growing miner confidence in Kaspa's long-term profitability — miners invest in hardware and electricity only when they expect future returns. Sustained hashrate growth typically correlates with positive price sentiment, new ASIC releases (such as the Bitmain KS series or IceRiver KAS miners), or declining energy costs in major mining regions.

Conversely, sudden hashrate drops can indicate miner capitulation — when mining becomes unprofitable and operators shut down machines. This often precedes or accompanies price corrections. Watching for divergences between price and hashrate can reveal early signals: if price rises but hashrate stagnates, miners may not trust the rally. If hashrate rises while price is flat, miners may be positioning for an anticipated breakout.

The difficulty metric is tracked on its own dedicated page, where you can analyze how Kaspa's per-block difficulty adjustment algorithm responds to hashrate changes. Combined with the emission schedule's annual halving, miners face compounding pressure — making hashrate trends a leading indicator of network health and economic sustainability.

How it's computed

Hashrate is derived from observed block difficulty and the target block time (1 second). The formula estimates how many hash operations per second the network must be performing to produce blocks at the observed difficulty level within the expected time window. Since Kaspa's difficulty adjusts every single block, the estimated hashrate is highly responsive and reflects near-real-time conditions.

The difficulty value itself is embedded in each block header and represents the minimum hash target that a valid block must satisfy. Our system samples these values at regular intervals, computes the implied hashrate, and stores both metrics as a historical time series. Short-term variance is expected due to the probabilistic nature of mining — the chart smooths this with appropriate time bucketing.

Because Kaspa's DAG processes multiple blocks in parallel, hashrate calculations account for the total block production rate across all DAG levels, not just a single chain tip. This gives a more comprehensive view of total network computational commitment than single-chain hashrate estimates.