Subnets / SN62
Ridges SN62
Ridges (subnet 62) is a Bittensor subnet held by 6,457 unique coldkeys. Its liquidity pool holds 30.2k τ, with the alpha token trading at 0.0109 τ. Roughly 3% of tracked holders are in profit — most bought in above today's price. Seller exhaustion is elevated: 77% of recent sellers have emptied their wallets, thinning the supply overhang. Full insider flow, whale tracking and the complete proprietary factor set for Ridges are available to SubnetStats subscribers.
ALPHA PRICE
0.0109 τ
IN TAO
HOLDERS
6,457
UNIQUE COLDKEYS
POOL DEPTH
30.2k τ
TAO IN POOL
7D MOMENTUM
-2.5%
ALPHA vs TAO
Project activity
Next competition is live: Database Engineering.
Agents compete on database engineering problems, fixing bugs, optimizing queries, and working with ORMs and GraphQL.
Why this Niche next? Because inefficient queries are a real engineering challenge, and one where specialist agent
CMC Verification post:
https://t.co/Dr4NaeSivE
We've kicked off Niches with a Linting competition!
In just one week we've seen performance hit 76% on our hidden test set with cost reduction down to $0.02 per task.
Results like these help us validate the Niches model and adjust where needed.
We're excited for the next Nich
⛰️ x402 is now live on Ridges
X402 is an agentic payment protocol that lets agents pay for API access autonomously.
Integrated with Ridgeline, agents can now pay for and access our coding infrastructure directly, no human in the loop. https://t.co/YdyWMblKgR
Back in the arena. Get ready. https://t.co/28UiYPZZoZ
⛰️ Get convicted with us.
Simple credits. Free if you stake.
Standard · $9.99/month. 10 credits, always the top-ranked agent, PRs opened automatically.
Staker · free. Lock your Ridges alpha, connect your wallet, get credits every 3 days. No subscription needed. https://t.co/g9
⛰️ Ridges Roadmap
Next up: Niches.
· Problem classification into niches
· Small routing model during agent eval
· Multiple competitions running simultaneously, static weighting to start
· Ridgeline requests routed to niche agents
· Dynamic weighting based on improvement momentum
⛰️ Ridges have a lot coming your way.
But first, a sneak peak at our new interface. https://t.co/wBMeBhKsm4
https://t.co/0n4QwgzH7V doesn't lie; our engineers are cooking
Ridges is the #2 subnet by code contributions and the #1 in our hearts
cc: @DrocksAlex2 https://t.co/hJfOJFOmmE
We've just released a sample of problems generated by our new sythetic-task pipeline.
This will help miners prepare for what's to come
https://t.co/Gwb1qnlINK
Check out our new and refreshed https://t.co/K3gYlMImRZ
Mining on Ridges is more understandable than ever https://t.co/QdiDBRc1g4
⛰️ Ridges Competition 22 Results · May 14-19
419 agents created. 9 approved for emissions. Best score: 76.67%. Avg: 57.56%.
The bar is high. That's the point.
The notable change this comp: we introduced a cost maximum of $0.29 per problem. Our average cost per problem solved i
⛰️ Ridges Update
Two improvements to the dashboard today:
Reliability scoring · visibility into reliability scores has been improved. You can now see clearly how your agent is performing on consistency, not just raw output.
Reduced scoring variance · we've moved to 3/3 verific
Ridges Q2 2026 - 2 Week Roadmap
Four things we're shipping:
BYOK - miners bring their own key and pay for their own inference during eval. Makes cost accurate and puts skin in the game.
Screener auto-scaling - screener nodes scale up and down with demand. More throughput, less
⛰️ Ridges Update
Harbor integration is live.
For context, Harbor (by Terminal Bench) is a framework for evaluating agents across more languages and more complex tasks. It keeps our evals aligned with what our agents are actually capable of.
Next up: Synthetic Bench, our genera
Meet our team. We're serving up the future of Ridges. Order's up. https://t.co/OJNO7OxCmc
⛰️ Ridges Update
We've integrated the Harbor framework by Terminal Bench.
This is a big step in making our subnet evals reflect the capability we're building towards. More languages, more complex agents. A good benchmark needs to capture our goals, and now it does.
More soon.
⛰️ Ridgeline Update
Four new features shipping today:
Rerun · add more context to a previous run and rerun it. Useful for updating responses or layering in new requirements mid-task.
Stop · kill a current run at any time. If you remember something mid-run, stop it, add context
Ridges is built on enterprise-grade experience and that's the standard we hold ourselves to. not just in what we ship, but in how we communicate.
We've had our heads down and we're excited about what's coming. The work speaks for itself and you're about to see it.
More soon.
Ridges isn’t going anywhere.
Ridges is bittensor, bittensor is Ridges.
We’re aligned. We're here to build and to keep raising the bar.
More updates soon.
🏔️ “This is where autonomous engineering starts to become real.”
As @KibibyteMe (Vune) put it, the shift isn’t theoretical anymore.
With Ridgeline, agents are no longer just assisting they’re executing. https://t.co/op38SyAcoy
🏔️ Ridges Q2 Roadmap
Since launching Ridgeline, the team has been deep in the work, refining the subnet and improving agent performance.
Our Q2 roadmap outlines the next phase of that progress focused on evaluation quality, infrastructure, and scaling autonomous software engine
🏔️ Ridges Update
Subnet screeners now scale dynamically.
As submission volume increases, more screeners deploy to handle the load - filtering outputs before full evaluation.
This means:
• Faster evaluation times under load
• Better subnet efficiency
• Smoother throughput as m
🚀 When @JosephJacks_ took a closer look at what Ridges was building, it quickly became clear something meaningful was happening and that’s when the decision to partner with the subnet was made.
Ridges is delivering 73.6–87.8% on SWE-Bench Verified and a 96.3% Polyglot score, pla
🏔️ Ridgeline Update
It’s been a strong start for Ridgeline.
Since the beta launch, we’ve been listening closely to the feedback coming from developers using the product. The responses, suggestions, and bug reports have been incredibly valuable.
While things may have seemed qui
SELLERS DRAINED
77%
28D SELLERS EMPTIED OUT
CAPITULATION
-0.23
BOUNCE COMPOSITE (z)
HEAT 7D
0.20×
VOLUME ÷ POOL DEPTH
HOLDERS IN PROFIT
3%
TRACKED WALLETS · ENTRY BELOW PRICE
See who's buying and selling Ridges — every trade classified miner / validator / owner / outsider, plus holder cost basis and the full 23-factor screener.
OPEN THE INSIDER TAPE →