Zipcode is Bittensor subnet 46 (SN46), a project in the Other (Real Estate AI and Property Valuation) lane. Open AVM competition, rebranded for the front door.
The Bittensor subnet formerly known as RESI is now Zipcode on-chain, with a new consumer site at zipcode.ai. Same netuid (46), same owner, same price prediction mechanism, but the public-facing product is widening from a model competition into P2P real estate services and settlement.
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 Zipcode (SN46)?
Zipcode (SN46) is a Bittensor subnet that incentivizes the development of accurate residential property price prediction models. Miners train machine learning models that estimate what US homes will sell for, and validators score those models against real sales data the models could not have seen at submission time. The team has rebranded the public-facing product from RESI to Zipcode while the on-chain mechanism stays the same.
In plain English: Imagine Zillow's Zestimate as an open competition. Anyone can submit a price prediction model, and every day the most accurate one against real recent sales takes almost the entire reward pool.
Centralized reference points: Zillow Zestimate, Redfin Estimate, CoreLogic AVM, HouseCanary
How miners and validators work
Like every Bittensor subnet, SN46 is a two-sided market: miners produce work, validators score it, and emissions follow those weights under the network’s dTAO economics.
- Miners train ONNX residential property price models, upload them to Hugging Face, and commit the model hash on-chain. Once committed, the model is locked.
- Validators download each committed model, run it against properties that listed and sold within the last 30 days, score by Mean Absolute Percentage Error (1 minus MAPE), and set weights so the earliest commit in the winner set takes 99% of emissions.
Mechanism and design
Miners train property price prediction models in any framework, export to ONNX (under 200MB, MIT-licensed via Hugging Face metadata), and commit the model hash to their hotkey on-chain. Once committed, the model is frozen. Validators run a daily evaluation at 18:00 UTC against properties that listed and sold within the last 30 days, run every eligible model in a sandboxed environment, and score by MAPE. A model with 8.5% average error scores 0.915.
Weight distribution uses a threshold-plus-commit-time rule. Validators identify the highest-scoring model, then a winner set of models within a configurable distance of that score. Within the winner set, the earliest on-chain commit takes 99% of emissions. Non-winners share 1% proportionally by score, and detected duplicates of an existing committed model receive nothing. The effect is that copying the current leader cannot dethrone them, and beating them by less than the threshold does not flip the king either.
Two transitions are running in parallel right now. The on-chain identity has been renamed from RESI to Zipcode, with the consumer site at zipcode.ai and positioning around P2P real estate services and settlement. The GitHub repo at github.com/resi-labs-ai/RESI-models is still RESI-branded but is actively developed: the last push was 2026-05-21, and recent commits include tie-breaking threshold updates, an exclusive-licensing change set, a 30-day model submission extension with optional image features, and a "100% burn" change. That last commit corresponds to the second transition: miner emissions are currently being fully burned, which is why TaoSwap reports zero active miners during this window. This is a deliberate switch by the team rather than abandonment, and prior commits show the burn lever has been moved before.…
Why the project exists
- The problem it solves: US residential real estate is priced largely by closed AVMs from a small number of vendors. Zipcode replaces that with a continuous open competition where the best public model wins, and grading uses sales that did not exist when the model was committed.
- The opportunity: Even small accuracy gains compound across mortgage underwriting, refinancing, home equity products, and property tax appeals. The team is positioning the subnet to feed a broader product surface, including P2P real estate services and settlement on zipcode.ai.
- The Bittensor advantage: Anti-overfitting is enforced by protocol. Models must be committed roughly 30 days before evaluation, so memorization of the test set does not pay. Copycats are also detected and zeroed out, and within the winner set the earliest committer wins, so cloning the leader cannot displace them.
- Traction signals: Active GitHub with 4 contributors and 67 commits, last push on 2026-05-21. Resi Labs signed a non-binding LOI with NextGen Digital Platforms in October 2025 for a 50/50 commercialization JV, which included a USD 100,000 alpha token purchase with a six-month lock-up.
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 Zipcode · SN46 rather than trusting any static screenshot in a blog post.
Risk factors
- Brand transition: On-chain identity, website, and product positioning have all moved from RESI to Zipcode, while the GitHub repo and parts of the documentation still carry the RESI name. Rebrands during a launch window add execution risk and can mute discovery while the new domain ranks.
- Burn window: The most recent commit moved miner emissions to 100% burn, which is why TaoSwap reports zero active miners. This is a deliberate lever rather than abandonment, but until it is reversed there is no real economic reward for new model submissions and the active miner count will sit at the floor.
- Execution: Zipcode is taking on incumbent AVM vendors with decades of data partnerships across lenders and assessors. The subnet has shipped a working competition and a public dashboard, but the consumer product on zipcode.ai and any downstream settlement product are net new and not yet in market.
- Concentration: Gini coefficient of 0.504 across the top 100 positions suggests moderately concentrated ownership or stake distribution. Large positions could significantly impact pool dynamics.
- Liquidity: Total 24-hour volume of about 3,312 TAO against a 52,000 TAO market cap means slippage on larger trades is real. The 7-day net flow of roughly +537 TAO is positive but modest, and emission share at about 1.04% is still small versus the broader subnet field.
How this fits a TAO portfolio
Many holders keep a root vs subnet split: root for calmer TAO exposure, subnets like Zipcode for thematic upside (and higher variance). If you use TaoScale, you can size SN46 from your wallet without handing over custody. See non-custodial staking.
- Live market: SN46 on TaoScale
- Browse and stake: /invest
- More subnet explainers: /blog/subnets
FAQ
What does Zipcode do on Bittensor?
Imagine Zillow's Zestimate as an open competition. Anyone can submit a price prediction model, and every day the most accurate one against real recent sales takes almost the entire reward pool.
What is the SN46 alpha token?
When you stake TAO into subnet 46, you receive that subnet’s alpha. Its price versus TAO moves with the subnet’s pool (see what is dTAO).
How do I research Zipcode before staking?
Read the mechanism above, open the official repo/docs when available, then verify pool depth, flows, and activity on SN46. 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 Zipcode (SN46) compiled from public project materials and ecosystem documentation. Mechanisms and market structure change, so verify live data and official sources before acting.
