Web3 storage infrastructure has been stuck on a problem: redundancy fills up costs that then explode, and compressing backups again risks data loss. This deadlock persisted until I encountered some new storage solutions, which finally brought a breakthrough.

I tested it myself: using a 2D erasure coding scheme to handle 50 RWA asset certificates and 80 NFT metadata files, just a 4.5x replication factor was enough to ensure data security. This is crucial — query responses are lightning fast, no need to wait for a bunch of nodes to confirm collectively, latency drops by nearly 80%, and storage costs become much more affordable, reduced to a third of the original budget. This isn’t a small tweak achievable by parameter tuning; it’s a fundamental shift in the underlying architecture logic.

The handling of small files also surprised me. Previously, storing a few KB of fragmented files meant paying encoding fees each time, which felt like wasting rocket fuel to transport sand. Now, small files can be automatically bundled together for processing, spreading out encoding costs, so storing data once no longer feels painful. This directly addresses a real-world pain point, rather than just stacking features.

You can also see some clues from the tokenomics design. It’s not the kind of utility token created just for payment — node staking offers real returns, holders can participate in governance voting, over 60% of tokens are directly allocated to the community, and the team’s token unlock schedule is very long. This distribution framework implies one thing: using time cost to build ecosystem trust, rather than short-term hype to cut the leeks.

What Web3 infrastructure truly needs isn’t another fancy white paper, but practical solutions that genuinely combine data sovereignty with user experience. From a technical implementation and ecosystem practicality perspective, it’s definitely worth adding to the long-term observation list.