Djinn is Bittensor subnet 103 (SN103), a project in the Sports Analytics and Prediction lane. Encrypted picks, provable track records
Djinn turns sports predictions into a market where the pick stays encrypted, even from the people running it, and the only public fact is whether the seller actually wins.
It is an educational deep dive, not a recommendation to stake. For live price, pool depth, and performance, always open the live subnet page.
What is Djinn (SN103)?
Djinn is a Bittensor subnet (SN103) that runs a marketplace for sports predictions. Analysts sell their picks and buyers pay for access, but the prediction itself stays encrypted: nobody, not even Djinn, can read it. What is public is the seller's win and loss record, recorded on-chain, so a buyer knows exactly whose judgment they are paying for.
In plain English: It is like a sports tipster marketplace, except the tipster's track record is cryptographically verified and the tip itself stays locked until you have paid for it.
Centralized reference points: Action Network, OddsJam, tout and handicapper marketplaces
How miners and validators work
Like every Bittensor subnet, SN103 is a two-sided market: miners produce work, validators score it, and emissions follow those weights under the network’s dTAO economics.
- Miners verify that a given betting line was actually available at a given moment, producing TLSNotary proofs (cryptographic evidence that a website served specific content at a specific time) and handling line checking.
- Validators hold Shamir key shares, coordinate the multi-party computation that keeps each signal encrypted, attest game outcomes by two-thirds consensus, and update the on-chain Quality Score.
Mechanism and design
The README frames it as unbundling information from execution: "Buy intelligence you can trust. Sell analysis you can prove." Analysts, which the protocol calls Geniuses, post encrypted signals backed by collateral and a service-level guarantee. Buyers, called Idiots, purchase access based on a verifiable track record. The signal stays encrypted throughout, and is never revealed on-chain even after settlement, because the key is split across validators using Shamir secret sharing and SPDZ multi-party computation. Reconstructing a pick would require a threshold of validators to collude.
What does become public is performance. Quality Score changes are attested by a two-thirds validator majority and written on-chain, confirming a seller's results without exposing the individual picks. The economic plumbing, escrow, collateral, and audit settlement, lives in smart contracts on Base and is denominated in USDC. Worth noting precisely: the contract addresses published in the repo are on Base Sepolia, the test network, so the economic guarantees are demonstrated on testnet rather than mainnet so far.
One piece of the system is usable today by anyone. The web attestation service at djinn.gg/attest lets you generate a TLSNotary proof that any HTTPS site served specific content at a specific time. You burn 0.0001 TAO of SN103 alpha, submit the URL and the burn transaction, a validator dispatches the job to a miner, and the miner returns a proof in roughly 30 to 90 seconds. The README points to legal evidence, journalism verification, and academic citation as use cases.…
Why the project exists
- The problem it solves: Selling sports picks runs almost entirely on trust. Sellers self-report their records, can quietly drop the losing ones, and a buyer has no way to confirm a pick was not edited after the game. Djinn replaces that trust with proof.
- The opportunity: A marketplace where a seller's record cannot be faked and a pick cannot be altered or leaked changes the trust model for selling any prediction, not only sports.
- The Bittensor advantage: The encryption depends on no single party holding the key. Validators split it through Shamir secret sharing and run multi-party computation, so a pick can only be reconstructed if a threshold of independent validators collude. Bittensor's validator set supplies that distributed trust.
- Traction signals: Development is heavy and current, with the last public commit on 2026-06-21 and large automated test suites. A public web attestation tool is live at djinn.gg/attest, and there is an official @djinn_gg account plus a community Telegram channel dedicated to SN103. To be straight about it: the smart contracts in the repo are deployed to Base Sepolia, a testnet, and the subnet currently draws no emissions.
What stakers should check before buying alpha
Subnet storytelling is cheap. On-chain and product checks are not. Use the same framework as our subnet metrics guide:
| Check | Why |
|---|---|
| Real product / docs / repo | Separates shipping teams from narrative-only slots |
| Pool depth (TAO) | Your exit door: thin pools amplify slippage |
| Net flows (7d / 30d) | Under flow-based emissions, capital votes with its feet |
| Emission share | Whether the market is funding this subnet right now |
| Ownership concentration | Large holders can move a small alpha market |
| Immunity / deregistration | Post-immunity weak slots can lose the race (see immunity guide) |
Pull the live numbers on Djinn · SN103 rather than trusting any static screenshot in a blog post.
Risk factors
- Testnet stage: The smart contracts listed in the repo are deployed to Base Sepolia. The escrow, collateral, and settlement guarantees that make the marketplace trustworthy are shown running on a test network, not yet on Base mainnet, so the live product is still early.
- Zero emission share and deregistration: Under Taoflow, Djinn currently earns no emissions because its recent net staking flows are negative. The slot registered in May 2025, so it is well past the four-month immunity window, which means a sustained low EMA price could expose it to automatic deregistration.
- Concentrated build and ownership: Public development is driven mainly by one contributor, and on-chain ownership or stake distribution is moderately concentrated (gini around 0.47). Both are common at this stage but worth watching.
- Two-sided demand: The model only works if it attracts both credible analysts and paying buyers at the same time. Bootstrapping both sides of a marketplace is hard.
How this fits a TAO portfolio
Many holders keep a root vs subnet split: root for calmer TAO exposure, subnets like Djinn for thematic upside (and higher variance). If you use TaoScale, you can size SN103 from your wallet without handing over custody. See non-custodial staking.
- Live market: SN103 on TaoScale
- Browse and stake: /invest
- More subnet explainers: /blog/subnets
FAQ
What does Djinn do on Bittensor?
It is like a sports tipster marketplace, except the tipster's track record is cryptographically verified and the tip itself stays locked until you have paid for it.
What is the SN103 alpha token?
When you stake TAO into subnet 103, you receive that subnet’s alpha. Its price versus TAO moves with the subnet’s pool (see what is dTAO).
How do I research Djinn before staking?
Read the mechanism above, open the official repo/docs when available, then verify pool depth, flows, and activity on SN103. Cross-check with the metrics checklist.
Is this financial advice?
No. TaoScale publishes educational explainers and live tools. Decisions to stake are yours alone.
Not financial advice. Educational overview of Djinn (SN103) compiled from public project materials and ecosystem documentation. Mechanisms and market structure change, so verify live data and official sources before acting.
