MinotaurX vs Power2B: Which Algorithm is Most Profitable for Web Mining?
By Roman Noodles, Founder of Earnify · Updated May 8, 2026
Choose the right mining algorithm for your website's audience. We compare MinotaurX, Power2B, YesPower, Yescrypt, GhostRider, and Flex across real-world hashrate, CPU compatibility, and pool support.
cwm_minotaurx on minotaurx.*.mine.zpool.ca:7019). Other algorithms below are industry context only — they cannot be mined with this build. Browser WASM runs at roughly 1/10 to 1/20 of native speed (no SIMD). Dev fee = 1 CPU thread on top, not a share split.Why Algorithm Choice Matters
Not all mining algorithms are created equal. Your choice directly impacts revenue per visitor, device compatibility, and overall user experience. The right algorithm can mean the difference between a seamless background process and a noticeable performance drain.
Key factors that affect algorithm performance in browser environments:
- ASIC Resistance: Algorithms designed to resist specialized hardware ensure that browser-based miners remain competitive against industrial operations.
- Memory Hardness: Algorithms that require significant memory per thread perform better on modern multi-core CPUs found in consumer devices.
- Thread Scaling: How efficiently the algorithm distributes work across multiple CPU cores.
- Pool Support: Availability of stratum-compatible mining pools for the algorithm.
MinotaurX — The Default Choice
MinotaurX is Earnify's default algorithm and currently the most profitable option for browser-based mining. It was designed as an ASIC-resistant algorithm optimized for consumer-grade CPU architectures — exactly the kind of hardware your website visitors run.
Performance Profile
On a typical 8-core desktop, MinotaurX achieves approximately 1,870 H/s when running on 7 threads (n−1 configuration). It uses roughly 2MB of memory per worker, making it lightweight enough for sustained session mining without impacting browser performance.
- Memory per worker: ~2MB
- Desktop (8-core) hashrate: ~1,870 H/s
- Laptop (4-core) hashrate: ~740 H/s
- Mobile (4-core) hashrate: ~303 H/s
- ASIC-resistant: Yes — no known ASIC implementations
Power2B — The Power-Efficient Alternative
Power2B offers a different design philosophy. Where MinotaurX optimizes for raw throughput, Power2B prioritizes power efficiency and thermal stability — making it an excellent choice for mobile-first audiences and battery-constrained devices.
Performance Profile
Power2B generates slightly lower raw hashrates than MinotaurX but with measurably less CPU utilization and heat generation. For publishers with predominantly mobile traffic, this can translate to longer sustainable session durations and higher aggregate revenue.
- CPU overhead: Lower than MinotaurX at equivalent thread count
- Thermal profile: Runs cooler on sustained workloads
- Best for: Mobile-heavy audiences, battery-aware deployments
Direct Algorithm Comparison
| Algorithm | Type | ASIC Resistant | Best Use Case | Pool Support |
|---|---|---|---|---|
| MinotaurX | Memory-hard | Yes | Desktop/Laptop — maximum profitability | zpool.ca, Mining Dutch |
| Power2B | Compute-bound | Yes | Mobile/battery — sustained sessions | zpool.ca |
| YesPower | CPU-optimized | Yes | General purpose — good all-rounder | zpool.ca |
| Yescrypt | Password-hashing derived | Partially | Legacy device compatibility | zpool.ca |
| GhostRider | Multi-algorithm | Yes | Maximum security — niche use | zpool.ca, Zergpool |
| Flex | Auto-switching | Varies | Maximum pool-side optimization | zpool.ca |
MinotaurX Tuning: Thread Budgets, WASM vs Native, and When Each Algo Context Wins
Earnify ships MinotaurX only — so treat this section as the tuning manual for the one algorithm you can actually deploy. The other names in the table above are industry context, not build options. Get these three levers right and the same traffic earns measurably more: thread budget, throttle level, and session length.
Expectation setting: Browser WASM MinotaurX runs at roughly 1/10 to 1/20 of native CPU miner speed (no SIMD, Web Worker scheduling overhead, single-threaded hashing per worker). Plan revenue on time-on-page, not on matching native H/s. Dev fee is always 1 extra CPU thread on top of your configured user threads — not a share split — so the effective rate falls as core count rises (2-core ≈ 50%, 4-core ≈ 25%, 8-core ≈ 14%, 16-core ≈ 6%).
| Visitor device | User threads (n−1 rule) | Throttle starting point | What to watch |
|---|---|---|---|
| Desktop 8-core+ | Total cores minus 1 (plus 1 dev thread) | 30% — balance of H/s and silence | Task Manager CPU, fan noise complaints, opt-out rate |
| Laptop 4-core | 3 user + 1 dev | 20–30% — heat-constrained | Thermal throttling on sustained 10+ min sessions |
| Mobile 4–8 core | 1–2 user + 1 dev; pause when unplugged & low battery | 10–20% — battery-aware | Battery drain, background-tab kill rate, opt-in rate |
| Shared / low-end | 1 user + 1 dev only | 10–15% — invisible by design | INP / scroll jank; stop() discoverability |
Three rules from Earnify publisher data. One, cap at n−1 user threads and let resolveThreadCount do the math — never pin all cores, because the main thread still owns rendering and the dev thread always takes one. Two, throttle by device class, not globally — the same 50% that is silent on a desktop workstation is loud on a fanless laptop, so segment by hardwareConcurrency and battery state. Three, optimize for minutes, not megahashes — a 12-minute tutorial session at 20% throttle out-earns a 2-minute bounce at 50%, which is why transparent opt-in plus a visible stop() retains sessions 3× longer than silent mining.
When does non-MinotaurX context matter? Only as a buying guide: memory-hard designs (MinotaurX, YesPower, Yescrypt) fit consumer CPUs; compute-bound or multi-hash designs (Power2B-style, GhostRider-style) trade raw throughput for thermals or complexity — relevant if you ever evaluate a second backend, but not actionable inside Earnify today. If your audience is 70%+ mobile, do not chase a different algorithm; lower throttle, shorten worker bursts, and extend session design instead. That is the entire tuning surface, and it is enough: publishers who segment throttle by device class stabilize opt-in above 70% while keeping Core Web Vitals flat.
Which Algorithm Should You Choose?
For 95% of publishers, the answer is simple: stick with MinotaurX. It delivers the highest raw hashrate across the widest range of consumer devices and has the deepest pool support on zpool.ca. Power2B is worth considering if your analytics show 70%+ mobile traffic.
Earnify's architecture makes switching algorithms trivial — you can experiment with different algorithms using a simple configuration parameter and compare real-world revenue data from your own audience. There's no reason not to A/B test.
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