Aven
1.5K posts





Bitcoin yield isn’t magic; it’s system design. What matters is whether assumptions are explicit, constraints are enforced, and failure modes are understood. @goatnetwork makes these dimensions explicit.










THE UNGLAMOROUS TRUTH The most valuable infrastructure is invisible. Water systems. Power grids. The internet backbone. No one talks about them; until they fail. The same story is unfolding in crypto. @0xMeta_ai is here to fix this.





Momentum’s trading infrastructure is built on Sui and designed for performance. @MMTFinance Concentrated Liquidity Market Maker allows liquidity providers to focus capital where it is most effective.


Decentralized finance faces a serious challenge. Liquidity is spread thin across hundreds of protocols and chains, creating inefficiency for everyone involved. @ProjectVerdant intelligence does not just use liquidity. It optimizes it. Here is how the problem is being solved.


Introducing The Summer of PUMP; @wardenprotocol all-in campaign to supercharge user rewards. Deposit, swap, research, refer and stack PUMPs like never before.

From a developer’s perspective, using @zama HPU is straightforward; it plugs into the TFHE-rs library in Rust, so you can switch from CPU/GPU to HPU with minimal API changes.


My last thread on this series on @zama; With FHE Ads, users’ encrypted profiles (age, interests, etc.) are stored in the Data Vault. The profile is never decrypted by the ad-selection service. Instead, the server uses encrypted matching to pick relevant ads.

My next series of threads on @zama would be focused on The First Open-source Hardware Accelerator for FHE [HPU on FPGA] and its significance on the web3 ecosystem as a whole. This series would take two days.

Because the hardware of @zama is open source (SystemVerilog, firmware, TFHE-rs integration), developers and researchers can audit, extend, or repurpose it, a big win for community-driven innovation

In the context of web3 and decentralized systems, the rise of open-source FHE hardware means privacy-preserving smart contracts and encrypted computation don’t have to be slow or impractical. @zama excels at this.

One unique aspect of @zama HPU is its custom instruction set: developers can write new Integer Operations (IOp) and Digit Operations (DOp) firmware so the chip can perform new encrypted operations.

Performance and cost matter. According to @zama, HPU is more power-efficient and likely cheaper per operation than CPU or GPU for FHE workloads, thanks to FPGA implementation and architecture tuned for encrypted computation.

HPU being open source is also a strategic move: developers on @zama can verify correctness of the homomorphic operations at the hardware level, which is crucial for cryptographic trust in decentralized systems.
