Subnet Legibility Index · snapshot 2026-09-09 · rubric v1.0 Exploit Summit 2026 · Montreal ·

Read the room. The top 32 subnets, scored on whether a newcomer can understand them.

Can a first-time reader understand this subnet in five minutes?

Each subnet is scored on what a staker, a miner, a buyer, and a newcomer can find out from its own public materials. The rubric measures findability, not quality. Every score links to its evidence, and every subnet opens with a plain-language explainer.

32subnets
90%of emission
512cells scored
3.3median score
Ranked by emission Re-rank by what a buyer can find Says versus shows
Start here What a subnet is, and what this index measures

Bittensor is a network of small, independent marketplaces for digital work that share one currency. Think of a trade fair with a hundred booths: each booth runs its own competition, pays its own winners, and sells its own product, but every booth is paid out of one shared prize fund. The fund is TAO, a coin created at a steady rate.

A subnet is one booth. It is a set of rules for a single kind of work: miners do the task, validators score it, and pay flows by score. Each subnet has its own token, and since June 2026 its share of the prize fund follows that token's price, so the market decides which booths get funded.

This index asks one question of the 32 best-funded booths: has the subnet told the people who fund it, work for it, buy from it, and encounter it what it sells, in a place they will look, in five minutes? It scores findability, not quality. Every score links to its evidence, and every subnet page opens with a plain-language explainer. Dotted words open a definition.

Composite
Makes
Identity Loading…
Rank Subnet Emission Alpha token Composite Stakers Miners Buyers Newcomers Identity Miners · validators
Says versus shows

What the network pays for, against what a reader can find

Emission share is what the network says a subnet is worth. Legibility is what the subnet shows an outsider in five minutes. The gap between them is the chart.

0123450%2%4%6%8%10%12%share of TAO emissionlegibility scorehigh emission, high legibilityhigh emission, low legibilitylow emission, high legibility107SN107 Minos: composite 3.4, emission 11.3%51SN51 lium.io: composite 3.8, emission 8.0%15SN15 ORO: composite 3.8, emission 6.7%120SN120 Affine: composite 2.4, emission 6.0%64SN64 Chutes: composite 4.1, emission 5.9%97SN97 Albedo: composite 2.1, emission 5.2%4SN4 Targon: composite 3.5, emission 4.7%44SN44 Score: composite 2.5, emission 3.4%80SN80 OpenRoboto: composite 3.3, emission 3.0%114SN114 SOMA: composite 3.4, emission 2.4%3SN3 Teutonic: composite 2.8, emission 2.4%8SN8 Vanta: composite 3.8, emission 2.3%9SN9 iota: composite 2.5, emission 2.3%53SN53 engy: composite 4.0, emission 2.1%93SN93 Bitcast: composite 2.7, emission 2.0%68SN68 NOVA: composite 3.0, emission 1.9%28SN28 SayGM: composite 4.1, emission 1.7%91SN91 cascade: composite 2.0, emission 1.7%110SN110 Green Compute: composite 3.2, emission 1.6%75SN75 Hippius: composite 4.0, emission 1.6%58SN58 greevils: composite 2.9, emission 1.4%38SN38 ChronoLLM: composite 3.3, emission 1.4%56SN56 Gradients: composite 3.6, emission 1.4%118SN118 Ditto: composite 3.7, emission 1.2%124SN124 Swarm: composite 3.3, emission 1.2%61SN61 RedTeam: composite 2.6, emission 1.2%83SN83 CliqueAI: composite 1.9, emission 1.1%5SN5 Hone: composite 1.5, emission 1.1%90SN90 KubeTEE: composite 3.5, emission 1.1%34SN34 BitMind: composite 3.5, emission 1.0%62SN62 Ridges: composite 3.8, emission 1.0%19SN19 blockmachine: composite 4.3, emission 0.9%107SN107 Minos: buyers 2.3, emission 11.3%51SN51 lium.io: buyers 4.3, emission 8.0%15SN15 ORO: buyers 2.5, emission 6.7%120SN120 Affine: buyers 1.3, emission 6.0%64SN64 Chutes: buyers 4.8, emission 5.9%97SN97 Albedo: buyers 1.3, emission 5.2%4SN4 Targon: buyers 3.5, emission 4.7%44SN44 Score: buyers 1.5, emission 3.4%80SN80 OpenRoboto: buyers 2.0, emission 3.0%114SN114 SOMA: buyers 3.5, emission 2.4%3SN3 Teutonic: buyers 1.5, emission 2.4%8SN8 Vanta: buyers 3.5, emission 2.3%9SN9 iota: buyers 1.8, emission 2.3%53SN53 engy: buyers 4.5, emission 2.1%93SN93 Bitcast: buyers 1.8, emission 2.0%68SN68 NOVA: buyers 2.0, emission 1.9%28SN28 SayGM: buyers 4.5, emission 1.7%91SN91 cascade: buyers 0.5, emission 1.7%110SN110 Green Compute: buyers 3.8, emission 1.6%75SN75 Hippius: buyers 4.5, emission 1.6%58SN58 greevils: buyers 2.3, emission 1.4%38SN38 ChronoLLM: buyers 3.0, emission 1.4%56SN56 Gradients: buyers 3.8, emission 1.4%118SN118 Ditto: buyers 3.5, emission 1.2%124SN124 Swarm: buyers 2.0, emission 1.2%61SN61 RedTeam: buyers 1.8, emission 1.2%83SN83 CliqueAI: buyers 0.5, emission 1.1%5SN5 Hone: buyers 0.3, emission 1.1%90SN90 KubeTEE: buyers 2.8, emission 1.1%34SN34 BitMind: buyers 4.3, emission 1.0%62SN62 Ridges: buyers 3.3, emission 1.0%19SN19 blockmachine: buyers 4.5, emission 0.9%
Paid more than they explain
  1. SN120 Affine emission #4 · legibility #28
  2. SN97 Albedo emission #6 · legibility #29
  3. SN44 Score emission #8 · legibility #26
  4. SN107 Minos emission #1 · legibility #15
  5. SN9 iota emission #13 · legibility #27
  6. SN3 Teutonic emission #11 · legibility #23
  7. SN91 cascade emission #18 · legibility #30
  8. SN93 Bitcast emission #15 · legibility #24
Explain more than they are paid
  1. SN19 blockmachine emission #32 · legibility #1
  2. SN62 Ridges emission #31 · legibility #9
  3. SN34 BitMind emission #30 · legibility #14
  4. SN90 KubeTEE emission #29 · legibility #13
  5. SN75 Hippius emission #20 · legibility #5
  6. SN118 Ditto emission #24 · legibility #10
  7. SN28 SayGM emission #17 · legibility #3
  8. SN56 Gradients emission #23 · legibility #11