Public chains expose sensitive data by default: balances, transaction sizes, strategies. Regulators need visibility into who's transacting but not competitors.
@Aptos Confidential Transactions fix this by encrypting balances and transaction amounts while keeping sender and recipient identities visible.
Launched on devnet through a partnership with Distributed Lab, the mechanism combines homomorphic encryption and zero-knowledge proofs.
When a user sends tokens, the amount is encrypted under three keys: the recipient's, an auditor's, and their own. The sender generates a ZK proof demonstrating the transfer is valid without revealing the amount.
Validators verify the proof and update balances without seeing underlying values. Token issuers can designate auditors who get independent decryption access.
This unlocks use cases that were previously impossible onchain such as enabling Payroll without revealing compensation, Institutional trading without broadcasting position sizes, and Treasury operations that don't signal strategy to the market.
Institutional capital is also arriving. BlackRock's BUIDL fund scaled past $500M in October, making Aptos the second largest host for the fund after Ethereum.
On the retail side, X-Chain Accounts remove onboarding friction. Ethereum and Solana users can create Aptos accounts using existing wallets. There is no need for new seed phrases, bridging, or acquiring APT for gas. Currently in testnet.
Aptos combines privacy, compliance, and accessibility in one stack.
A valuation analysis of Pump Fun and what to expect from launch.
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This thread only scratches the surface. The full report covers much more including a complete valuation analysis, competitive deep dive, launch dynamics, and more.
1/ Pump has quietly built one of crypto's most profitable businesses, generating $780M+ in cumulative revenue with no token incentives.
Even once you take out January's memecoin craze, Pump is still generating around $1.3M per day on average.
That's more than what most protocols make in their entire existence.
AI has blurred the lines of IP ownership. @StoryProtocol thinks blockchain can fix it.
Meet the first IP blockchain reshaping creativity and royalties for the digital age.
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Our full Story report dives much deeper into use cases, infrastructure, and more. Here is the full breakdown.
1/ Traditional IP systems depend on centralized registries and manual enforcement, too slow to track millions of AI-generated works created daily.
General-purpose blockchains aren't optimized either, lacking native support for complex royalty splits and embedding licensing terms into creative assets.
Hyperliquid just dodged a $13.5M bullet—but it exposed a critical flaw in decentralized trading.
Here's how one trader almost broke the system and how we can stop it from happening again.
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1/ An attacker opened a large short position on JELLY, then artificially pumped its spot price, forcing liquidation.
This pushed an unrealized $13.5M loss onto Hyperliquid’s liquidity pool (HLP), as the oracle price spiked from $0.0095 to ~$0.50 per token.
2/ Hyperliquid intervened by delisting JELLY perps and force-settling positions at the original price of $0.0095, protecting HLP and leaving the attacker at a loss.
But rather than just reacting, what steps can Perp DEXs take to mitigate future risks?