What type of trader are you? On Limitless , every prediction tells a story your story. Your trades show how you think , when you act , and what you trust: data , instinct , or timing. Here is a glimpse of the traders we see every day 👇 Scalper: Gets in fast , gets out faster. Small wins , quick flips , endless momentum. Chart Analyst: Waits for confirmation, trusts logic , trades with patience precision over emotion. Probability Player: Plays the odds , not luck. Smaller bids , smarter consistency. Momentum Seeker: Spots the wave early , rides it clean timing is everything. Trade Balancer: Calm under chaos. Hedges risk , stays steadyv, rarely loses. Last Chance Gambler: Goes against the crowd for massive upside fearless , but disciplined. Copy Trader: Learns from others , studies high volume moves , and joins with confidence. News Sniper: Reads the headlines before they hit. Turns volatility into opportunity. Each type has its rhythm. Whether you trade with precision, instinct, or emotion Limitless adapts to your flow. Stay Limitless @trylimitless @wallchain

A privacy product can work perfectly and still lose someone at the copy-paste button. I’ve been looking at BNS from @BeldexCoin. It lets a readable name stand in for a long BChat ID or BDX wallet address. BelNet has a separate .bdx domain namespace. That sounds like a small UX fix. I don’t think it is. If someone has to check a long string every time they want to message you or send you BDX, they’ll eventually make a mistake—or stop bothering. There’s a trade-off, though: reuse one recognizable name everywhere, and those parts of your activity become easier to connect. Names remove friction. They also create links. Both matter when you’re building for privacy.

Data sovereignty is usually treated like a storage setting. That’s already too late. What caught my attention in @vangrid_io is that sovereignty is enforced across the entire route an observation takes. Faces and license plates are obscured before the video is encoded, so unblurred frames never leave the device. The extracted feature payload is then cryptographically signed, routed only inside the configured sovereignty boundary and delivered over TLS. Cross-region access must be explicitly enabled and recorded in the provenance log. The docs also report typical p50 latency below 500ms for real-time queries over a small urban area. So the interesting tradeoff here isn’t privacy versus speed. It’s whether both can be designed into the same pipeline. Where data is stored matters. Where it was allowed to travel — and whether that path can be audited — matters more.

We’re back to building 👀 HackCanton Season 3 by @appsfactory_cc kicked off, and Canborsa is in. This time, we’re exploring what comes next for us on @CantonNetwork. Perps are only one piece of the puzzle. What do you think we’re building next?

Still not in the Trading Arena? 👀 You're leaving rewards on the table. Trade RWA and crypto perps on Canborsa, climb the leaderboard, and earn points! The prize pool grows with every trade, and the next milestone is almost here. 💵 Join now ➡ points.canborsa.com/app/aren…

🎁 Pawffle WL Giveaway 5 GTD spots for our community Coming to Robinhood. How to enter: 1️⃣ Follow @Pawffle_nft @Mrcryptoo1 2️⃣ Comment your wallet address ⏰ Deadline: 24 hours 5 GTD winners will be selected. Good luck 🍀

Quantum computing is still sold like access is the product. Reserve machine time. Join a queue. Pay for the run. Then hope the answer is useful. @quipnetwork is approaching it from the opposite direction: the machine shouldn’t matter to the buyer. The answer should. A user posts an optimization job and sets the quality bar. Quantum and classical solvers compete, the best valid answer wins, and if nothing clears that bar, there’s no payment. I like this because it shifts the risk from the user to the solver. A failed attempt shouldn’t cost the same as a useful result. The market isn’t live yet, but this model feels much closer to how normal people will eventually use quantum compute. People don’t want time on a quantum computer. They want a problem solved.

Privacy coins are easy to admire when they stay inside a wallet. The harder test starts at checkout. Over the past few months, @BeldexCoin has added new payment routes for BDX through BTCPay Server, ShopinBit, AEON Pay, HPX Cards and Alchemy Pay. That doesn’t make adoption automatic. But it reduces the distance between holding a private asset and actually using it. A coin isn’t money just because it can move between wallets. It becomes money when the transfer can end in something useful. Privacy is the property. Spendability is the proof.

1,081,556 captures. 3,965 attestations. The gap between those numbers is the interesting part of @vangrid_io Instead of writing one transaction for every phone capture, Vangrid batches fingerprints into Merkle trees and anchors each root through EAS on Base. The latest three batches I checked held 573, 492 and 452 captures. That works out to roughly 273 captures per attestation across the explorer. Most explorers make you look at transaction count. Here the better question is how much reality fits behind each proof. A million observations don’t need a million transactions. They need a structure that makes any one of them hard to rewrite.

Most networks use compute to prove that work happened. The strange part is that the work itself usually has no value outside the network. @quipnetwork is taking a different route. Its Proof of Useful Work turns the competition between operators into real optimization, simulation and search jobs. The network still gets secured, but the output can also be something a customer actually needs. That changes how I look at mining. A CPU, GPU or QPU is no longer just spending cycles to protect a ledger. It becomes part of an open market for useful computation. Quip is still on testnet, so execution matters more than the idea. But the logic is hard to ignore. If compute has to be spent anyway, it should leave something useful behind.

The most interesting thing @vangrid_io puts onchain is what it leaves offchain. The footage stays private. The bounty brief stays private. The contributor’s identity stays private. Only a hash of the delivered dataset is written onchain, giving the buyer a way to verify its integrity without publishing the substance itself. Most crypto systems treat transparency as exposing more information. This model does the opposite. The chain doesn’t need to see the world. It only needs to make its history harder to rewrite.

The artist behind @TheMotifArt is back after Goblynz with a clean 2,048 supply collection on Ethereum. Spoke directly with the artist to secure WL spots for the community. How to get on the list: Go to themotif.art/ensemble#/ensem… and sign in with X Follow both required accounts Under "How did you hear about this?", select: A partner project Under "Who sent you", enter code: EVILEYE-XJ3 Select Ethereum network Deadline: Oct 18, 03:30 UTC. Spots will either be picked directly from registrations or handed over to me for a giveaway. Complete all 5 steps to qualify.

Most people think transaction privacy begins onchain. It actually begins a few seconds earlier. Before a transaction reaches a block, it has to enter the network. If an observer can identify the first node that broadcast it, the originating IP can become the clue even when the sender, receiver and amount are hidden onchain. That’s why @BeldexCoin’s plan to integrate Dandelion++ is worth watching. Instead of immediately flooding the network, a transaction first moves through randomly selected relays in the Stem phase. Only then does it spread widely during the Fluff phase. The goal isn’t to hide the transaction from the network. It’s to make its starting point harder to trace. A private transaction shouldn’t arrive with a return address.

Gold checkmark looks good on Canborsa 😎 Another little milestone unlocked and honestly it opens up a bunch of new stuff we can try going forward. Guess what's coming👇

Crypto spent years proving that machines did work. It rarely asked whether the work mattered. That’s the part of @quipnetwork I keep coming back to. Miners still compete. Compute still secures the network. But the same effort can be pointed at optimization, simulation, search and ML workloads whose answers have value outside the chain. One energy bill. Two outputs. Consensus for the network and a result someone was willing to pay for. I don’t think the real upgrade is making proof of work slightly more efficient. It’s changing what the network considers worth proving. A hash disappears the moment it wins a block. A useful answer can keep creating value long after verification ends. If computation is going to be spent anyway, making it useful feels like the obvious next step.

Reya v2 isn’t interesting to me just because a new orderbook goes live next week. It’s interesting because @reya_xyz is finally moving from proving the idea to testing whether it can actually scale. V1 processed over $135B in notional volume and generated more than $6M in protocol revenue. Now v2 brings a high-performance orderbook designed for institutional liquidity, while Season 2 introduces at least 3% in additional rewards without replacing what users earned in Season 1. The gated launch also makes more sense after reading the full plan. Access opens in waves Real traders move up the queue And every user inside receives one Golden Ticket per week to bring another serious trader directly in That creates a much better incentive than farming empty referrals. I also respect Simon openly admitting that execution took too long and explaining how the team was rebuilt with talent from IMC, Optiver, Wintermute, Palantir and Kraken. The vision was never the problem. Now Reya has to prove it can execute faster. September 28 is where that test begins.