DropForge

gm all... growth in infrastructure projects is not always easy to measure. some products can be evaluated by the number of downloads or sign ups, but things are a little different when it comes to a protocol designed to turn web data into information that can be used on the blockchain. the number of users only becomes meaningful when we know what those users are actually doing with the product. reports about @primus_labs mention the number of browser extension users, a figure that still needs independent verification. even if this statistic is accurate, it cannot show the actual level of infrastructure adoption on its own. to get a clearer picture, we need to separate several different metrics. first, the number of installs. this shows how many people have downloaded the extension, not how many are still using it. second, active users , how many people regularly return to the product and perform data verification tasks ?? third, successful proofs. how many requests actually result in a valid proof being generated ?? this metric provides a better picture of the network technical activity. fourth, repeat usage and actual demand, are users only participating to earn points, or do developers and businesses also need these proofs ? is anyone willing to pay for these services ? this distinction is particularly important for Primus because the ultimate goal is not simply to attract users to a browser extension, but to provide infrastructure for verifying web data in applications such as DeFi and institutional finance. the reports do not provide consistent, auditable statistics on active users, daily proof counts, integrated developers, or fee revenue. this does not necessarily mean there is no real usage. it means there is still not enough public information to accurately assess the scale of adoption. ultimately, one million installs can be a good sign of product distribution, but successful proofs, repeat usage, and paid demand are what show how far that distribution has translated into sustained utility.

gm all.... sometimes a technology is technically exactly what the market needs, but using it still is not simple enough for users to adopt it without hesitation. in these situations, the problem is not necessarily the technology itself, it's the gap between what a product can do and the actual experience of using it. Primus provides a way to verify Web2 data that allows users to use an account they already have with a service and generate verifiable proof without disclosing all their information. this approach also doesn't require direct cooperation from the source website, which is an important advantage for expanding Web3 use cases. but there is one thing to consider. in the current Data Verification flow, the browser extension is part of the user experience. for someone familiar with crypto tools, installing an extension might be a normal step. but for a user who simply wants to prove their balance, creditworthiness, or account information, this step alone can raise questions ? why do I need to install an extension? what permissions does it require? is it worth the effort? this friction might not show up clearly in signup or installation numbers, but it can affect whether users continue. someone might enter the product but give up before generating their first proof. of course, this doesn't mean the extension is a bad choice. the main question is whether the value users receive is clear and tangible enough for them to accept these extra steps. for infrastructure like Primus, success is not just about generating a valid proof , the path to that proof matters too. the simpler and easier to understand this process is, the easier it becomes to turn technical capabilities into actual usage. perhaps one important measure of maturity for this kind of infrastructure is not how many users have tried it, but how many have been able to use it without confusion and come back to use it again. s.kaito.ai/7F6dI7N

gm all .... let's assume a DeFi lending protocol wants to know whether a user exchange account balance has exceeded $10,000. the information is stored on a centralized website, but the final decision must be made on the blockchain without requiring the user to disclose all their account information. this is where the infrastructure provided by @primus_labs becomes valuable. however, generating a valid proof does not depend on cryptography alone, several different steps must work correctly for web data to become a trustworthy input for a smart contract. the first step is establishing a valid session. the user logs into the website with their own account, and a secure TLS connection is established. using zkTLS, Primus attempts to prove the information received through this connection in a verifiable way, without requiring the website's cooperation or changes to its infrastructure. in the next step, the required field, such as the account balance, must be correctly extracted from the web response. Primus supports two methods, MPC and Proxy, which differ in terms of speed and trust assumptions. if the field is extracted incorrectly or the session is not processed properly, even a cryptographically correct process will not necessarily produce the result the application needs. in the third step, the proof must demonstrate that the data came from the intended source and has not been tampered with. Primus also uses TEE to protect the execution integrity of the Attestor software. however, this layer does not eliminate all trust assumptions; the security of the TEE and its supporting infrastructure also matters. the contract must verify the proof and use the result according to the application's logic. if the contract validation is incomplete, the wrong field is checked, or the data is no longer valid for the intended decision, the correctness of the previous steps alone is not enough. this is the key point, the validity of a system does not depend solely on the strength of its cryptographic proofs, but also on the correctness of the entire process of generating and using those proofs. to evaluate this kind of infrastructure, we need to examine not only protocol security, but also the correctness of data extraction, trust assumptions, contract implementation, and system behavior under failure conditions. s.kaito.ai/7F6dI7N