Vibe Coding for Basic Diligence and Research

Considering the problem of investors incurring financial losses from Solana cryptocurrency initial coin offerings, we felt the most promising solution as improvements in data/information transparency and accessibility, which is why in addition to our traditional onchain analysis we have composed supplemental technology resources in the forms of a website, custom dune analytics datasets, employing the Arkham Intelligence application programmable interface. Using Arkham we are able to leverage a variety of additional data visualization methods, examples we have opted to include on our high fidelity website prototype available at https://redactedhackathon.vercel.app are currently displaying bar, sankey, and heat chart instances which derive their data from the Arkham intelligence api 'transfers' path, this is ideal because the api best allows for supplemental granularity in the forms of filters such: token type, values greater than, and date after or before.

In addition, for this particular instance, we opted to utilize current language learning model solutions for the development of our unit frontend. This choice was made with the objective in mind of: reducing financial losses in the Solana ecosystem, as the instance conveys how thanks to modern technological advancements, nearly anyone can build solutions to remain better informed prior to potentially exposing funds to extraneous risk.

Furthermore, from the initial dataset composed in accordance to past works of security researcher ZachXBT, we located initial coin offerings which accrued high value in a very nominal time period and then extracted the respective "update-authority" fields from each of these instances in order to better monitor activity from each project "founder", some of our data can be seen on our shortened CryptoClickHouse link provided below.

Custom Dune Analytics Dataset:
https://dune.com/queries/5055249?sidebar=none

CryptoClickHouse:
https://shorten.sydintel.workers.dev/ob5gdKL