Deprecated Apps

We sincerely thank everyone who has supported and used these tools in the past. Although they are no longer maintained, the spirit of these apps lives on in our newer, more advanced offerings. We are committed to providing cutting-edge data and insights to the blockchain community, continuing the legacy of these beloved apps. We're excited for what's to come and invite everyone to join us in this exciting journey.

Dune Dashboards

Dune Dashboards have undeniably played a crucial role in our journey at Inverse Finance. As an early go-to tool for many analysts in the blockchain space, Dune provided us with a powerful infrastructure that allowed us to produce numerous dashboards. These dashboards became a mainstay for many DAO contributors, offering comprehensive and invaluable insights into various blockchain metrics.

The dashboards on Dune were fundamental in laying the groundwork for the data infrastructure of They provided us with in-depth insights and a comprehensive understanding of the blockchain analytics landscape. However, as the technology and analytics landscapes evolved rapidly, we had to keep pace with the advancements and hence, Dune Dashboards had to be sunset.

But let's be clear: the sunsetting of Dune Dashboards doesn't mean we've completely abandoned Dune. We still utilize Dune for specific needs, particularly when it comes to handling highly aggregated data like prices, trades, liquidity, etc. Dune continues to offer a flexible solution for these tasks, but it's less integrated into our services as compared to the past.

In other words, Dune is no longer our primary tool, but it still occupies an essential space in our toolkit. It is there,available when we need to dig into highly aggregated data and provide our users and contributors with the insights they need.

Google Data Studio

Google Data Studio was an invaluable tool for us during our early stages at Inverse Finance. It provided a convenient and accessible way to manage and visualize data from The Graph, allowing us to share insights through embeds and present data in a meaningful way.

Leveraging Google's robust shared infrastructure, Google Data Studio was capable of handling high volumes of data, even with our limited resources at the time. This functionality was crucial in our initial steps in analyzing and understanding complex blockchain and DeFi data.

The tool, although somewhat primitive compared to more sophisticated data visualization platforms, served us well during its lifespan. It allowed us to create comprehensive reports and dashboards, delivering critical insights to our team and our community.

However, as our needs grew and technology evolved, Google Data Studio became less suitable for our expanding scope and the complexity of our data analysis requirements. We found ourselves needing a more flexible and powerful tool, one that could interact directly with the data from The Graph, offering a higher degree of customization and greater analytical depth.

As a result, we moved away from Google Data Studio and began working on building our own GraphQL client. This transition marked a significant milestone for us, as we shifted from using off-the-shelf solutions to developing in-house capabilities tailored to our specific needs.

The development of our own GraphQL client was indeed a challenging task, but it provided us with an incredibly versatile tool that perfectly aligns with our data analysis and visualization needs.

Inverse-alerts (Python App)

Inverse alerts was developed originally from the scratch to monitor web3 events and transaction and is the foundation of the alerting system we have at Inverse Finance.It laid the groundwork for many of the monitoring and alerting systems currently employed at Inverse Finance providing valuable insights into the rapidly growing and complex world of decentralized finance.

The main strength of Inverse-alerts was its capacity to monitor risk on decentralized markets. By keeping a close watch on transactions and events, it helped us detect irregularities, manage potential security threats, and maintain the overall stability of the platform. This was particularly essential during the early stages of Inverse Finance, when identifying and mitigating risk was a major priority.

However, despite its initial success, Inverse-alerts had its limitations. The monitoring process was predominantly manual, requiring constant supervision and manual input to keep up with the fast-paced world of DeFi. This became increasingly unsustainable as the platform grew and the volume of transactions and events surged.

Recognizing these limitations, we made the decision to sunset Inverse-alerts and replace it with a more advanced, automated system. This decision was driven by our commitment to delivering top-notch services and staying ahead of the curve in an ever-evolving industry.

Though Inverse-alerts is no longer in use, its legacy continues to impact our work. Many of its foundational principles and methodologies have been incorporated into our current systems, making them more efficient, robust, and user-friendly.

Inverse-alerts (Web App)

The Inverse-alerts App represented a significant leap forward from the original Python project. It embraced a user-friendly approach, integrating an intuitive UI that allowed users to seamlessly input alerts, select functions or events to monitor, and compute additional information by reading the state data. This marked a shift from the manual processes of the original script, providing automation and reducing the burden on our team.

An essential feature of the Inverse-alerts App was its capacity to monitor indicators and provide output in a readable format. This ability to analyze complex data and present it in a comprehensible way was invaluable to our financial and risk analysts. By delivering the data straight to our team via Discord, it ensured rapid response times and effective management of potential risks.

The aesthetically pleasing and intuitive interface was another advantage of the Inverse-alerts App. It made the monitoring and alerting process not just efficient, but also enjoyable. By emphasizing readability and user-friendliness, the app helped bridge the gap between the complex world of blockchain technology and our diverse team of analysts and stakeholders.

Despite the success of the Inverse-alerts App, we ultimately had to sunset it as part of our ongoing commitment to innovation. We learned a lot from the app, and these lessons are being used to shape our next generation of tools and systems. Though it is no longer in use, the impact of the Inverse-alerts App on our processes and operations will not be forgotten.

Twitter-Alerts (Python App)

This python project was a short lived but very useful script that allowed us to monitor data from APIs endpoints as well as our postgreSQL database in order to post tw.eets about significant events or anomalies. By linking up various data points, Twitter-Alerts was able to provide real-time updates and send out alerts to our community via our Twitter channel. This was particularly useful for critical alerts like sharp changes in market trends, major liquidity shifts, gas price fluctuations, and other notable events within the blockchain and DeFi ecosystem.

While the Twitter-Alerts script was efficient in its functionality, we have decided to sunset this project due to a shift in focus towards more comprehensive alerting and reporting systems. This decision was made in the context of our ongoing commitment to providing the most effective tools to our community and beyond.

The short-lived nature of the project doesn't take away from its usefulness and impact. Many of the alerting mechanisms and data integrations used in Twitter-Alerts have been repurposed and incorporated into our new suite of tools, continuing to provide valuable information to our community.

The project has paved the way for more advanced and diversified data integration and alerting systems, such as a multi-platform alert system, that we are currently developing. This upcoming system aims to provide real-time insights not only through Twitter, but also through other social and communication channels, making our alerts more accessible than ever before.

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