
The Bittensor ecosystem is evolving fast, and certain subnets stand out as frontrunners to capture adoption, revenues, and lasting network effects. Below is a forecast of the Top-10 subnets likely to lead in 2026 (NFA).
1) SN64 — Chutes AI
Tagline: AWS-like inference, crypto-native rails
- Why: Production inference with external distribution (via OpenRouter), multiple model SKUs, and transparent throughput claims. Flexible/affordable fee model (per-token usage).
- Strength: Model quality, latency, and economics of cross-provider routing.
2) SN51 — Lium (Lium.io)
Tagline: Rent GPUs, instantly
- Why: Straightforward monetization via GPU rentals; seamless UX. Post-DeepSeek demand spike makes TAM expand rapidly.
3) SN56 — Gradients AI
Tagline: Tune anything; sell fine-tunes
- Why: Self-serve training funnels SMB/enterprise cash; complements SN51 and SN64. Strong execution cadence.
4) SN35 — Cartha / 0xMarkets
Tagline: On-chain perps with AI liquidity
- Why: Perpetuals DEXs are one of crypto’s largest fee pools. LPs earn fees + emissions, leverage up to 500x, buybacks on liquidations. If volumes ramp, revenues arrive fast.
5) SN62 — Ridges AI
Tagline: Software engineering agents marketplace
- Why: Cracking SWE-bench/issue tracker automation unlocks real B2B spend. Codebase is highly active.
6) SN52 — Dojo / Tensorplex
Tagline: Human feedback & data labeling substrate
- Why: RLHF/RLAIF demand is constant; Tensorplex is shipping products. Obvious fee capture.
7) SN36 — Autoppia
Tagline: Robotic Process Automation (RPA) with agents
- Why: Clear BPO automation ROI. Infinite Web Arena benchmarks and validator scoring make it productizable.
8) SN4 — Targon Compute
Tagline: Confidential, verifiable compute
- Why: Enterprise-grade security + recent funding momentum. Defensible wedge in sensitive workloads.
9) SN34 — BitMind Labs
Tagline: Deepfake & AI-content detection APIs
- Why: Rising EU/US regulation and platform mandates make detection urgent. APIs and docs already live.
10) SN54 — MIID / Yanez
Tagline: Synthetic KYC & fraud stress-testing
- Why: Anti-fraud tooling is a huge spend category; synthetic identity datasets are a strong wedge into compliance.
On the Bubble
Challengers that could break into the top tier: Score (SN44) for predictions, Sportstensor (SN41) for predictions, PTN (SN8) with quant signals, Graphite (SN43) for operations research, and Affine (SN120) in RL.
How Rankings Were Scored
Each subnet was evaluated (0–100) using:
- Adoption rails (0–25): Real integrations, APIs, external users.
- Revenue clarity (0–25): Visible fee taps from customers (usage, LP fees, enterprise).
- Moat & network effects (0–20): Data flywheels, validator quality, distribution lock-in.
- Execution signal (0–15): Code/docs cadence, shipping velocity, partnerships.
- Liquidity & emissions (0–15): Emission share, α pool depth, venues.
Note: Emissions ≠ revenue. Adoption + revenue weigh heavier. Assumes α tokens trend toward 21M max supply like TAO.
The Unicorn Watchlist (3–5 Years)
Definition: α FDV ≥ $1B (≈$47.6 per α at full dilution) or protocol revenue ≥ $100M annualized with strong growth.
- Chutes (SN64): Scaling inference via OpenRouter + direct APIs.
- Lium (SN51): Paid GPU demand, secular open-weights tailwind.
- Gradients (SN56): Fine-tune economy + enterprise adapters.
- Cartha (SN35): Perps DEX tapping massive fee pool.
- Targon (SN4): Confidential compute for enterprise.
- Ridges (SN62): Agents potentially becoming an “Upwork for repos.”
Bottom Line
- Infra with real customers: Chutes, Lium, Gradients.
- Marketplaces for work: Ridges, Autoppia, Dojo.
- DeFi fee-engine: Cartha into volume.
- Policy tailwinds: MIID (compliance), BitMind (content authenticity).

Be the first to comment