Back at the writing desk, I and @Boundless the relationship is no longer just that of an “interviewee,” but more like a zk co-processor that is always available. Recently, while writing about L2 scaling and cross-chain governance, I broke down the entire verification process into three layers: off-chain data gathering, Boundless proof generation, and on-chain verification event anchoring. The benefit of this approach is that when I cite a number for cross-chain fund aggregation in the article, readers can directly click into the verification record; if they encounter me at the Token2049 venue, they can also bring the hash for “inquiries” on-site, and all I need to do is open the bound verification page.
#Boundless The team just wrapped up in Seoul and flew to Singapore for setup, moderating a discussion on L2 scaling in the Jubilee Ballroom. While I was queuing outside the venue to eat the berry pancakes they brought, I casually glanced at the dashboard of the proving market: PoVW rewards are being distributed in a new epoch, with over 7.2 ETH of market fees shared with nodes, and the order delay distribution has also shifted left a bit. This kind of "real-time feedback" makes me more daring to cite the latest data while writing because the verification hashes are right there, and anyone can cross-check.
One of my recent experiments was writing small model inference into zk circuits. Previously, I could only tell readers, "We used a simple classification model," but now I can present the inference results, the input hashes, and the proofs returned by Boundless together. @Boundless In the Edge program, they mentioned that their goal is to enable developers to launch zk pipelines that used to take months to debug in less than 30 days. I consider this statement as my creative KPI—whether I can add a "verifiable process" before submitting each article has become my strictest requirement for myself.
At the token level, I am paying attention to $ZKC
The allocation rhythm and the total amount of staking should synchronize with the actual proving workload. Just focusing on the price is meaningless; I care more about whether the output of PoVW is landing in real orders. Recently, I saw that 18-year-old prover sharing in the community how he uses market fees to cover electricity costs and continues to increase his GPU holdings. Stories like this of "learning while earning" are incredibly inspiring for ordinary developers. It is also because of these real cases that #Boundless is transforming from a "cool-looking technology" into "infrastructure that I can access today."
As the Scaling Summit kicked off in Singapore, I felt unusually relaxed when I handed over my newly written strategy analysis to the editor. Each key table has a verification hash next to it, and each conclusion can be traced back with @Boundless proof records. Relaxed does not mean lowering my guard; I still remind readers to pay attention to node diversity, delay tails, and governance proposals—but when the verification costs drop to a level that "writers can also afford," the noise of public discussions is reduced by half. For me, this is the core significance of making proofs marketable: it makes credible narratives no longer a luxury but a daily tool that any creator can access.
