$SVMAI: An AI-Powered Gateway to Smarter Solana Blockchain Analysis
Note: this is a retroactive add to match X publication on (12/27/2024)
Quick Glance | New Token | $SVMAI ($5.9M FDV) @opensvm Via @0xrinegade
Net/net:
$SVMAI, product not yet launched, appears to lie somewhere between solscan and http://nansen.ai, driven by AI and achieving speed efficiency in data management (off-chain). Founder’s public contributions are well-documented, and we believe production v1 could drive valuation towards the $25-$50m range, based on solscan’s acquisition price (purportedly $50m) in early 2024.
What is the project about? | An AI search engine for Solana blockchain.
$SVMAI is a newly launched project that proposes an idea of integrating blockchain data with AI functionalities that offers analysis with an enhanced user experience.
Imagine a solscan with a more intuitive and user-friendly interface powered by AI to gather insights using natural language. Think of it as a “Chat GPT for the Solana blockchain”.
The project tags itself as an “All-in-one quantum AI toolkit on the Solana blockchain” in which a user can find the appropriate info by simply pasting the contact address to extract insights.
The project intends to provide a system for tracking blockchain data for managing, analysing, and potentially investing more efficiently.
This project draws inspiration from AI search engines like Perplexity and You.com to offer a similar user experience within the context of Solana-specific data. It is possible that this project provides readable and trainable blockchain data for other AI agents.
This project’s use case could attract institutional traders for gathering real time intelligence and predicting network congestions. For Protocol Developers, to help in optimizing gas fees, predicting network bottlenecks, understanding user behaviours, and maintaining competitive edges, and General DeFi Ecosystem, for a safer and efficient environment by early risk detection.
How does the project work? | Collecting and parsing solana blockchain data Off-Chain with AI algorithms to analyse user defined metrics.
The project appears to be related to high-speed, off-chain AI-driven data analysis for the Solana blockchain. It is an AI for analysing Solana history at the highest speed possible which suggests real-time or near-real-time blockchain data processing and analysis.
The exact workings aren't detailed, but given the focus on AI and speed it likely involves collecting and parsing Solana blockchain data off-chain. Utilizing AI algorithms to analyse this data for trends, anomalies, or specific user-defined metrics.
Providing insights or actionable data back to users, possibly in real-time or on-demand. The project will facilitate users to access insights on trading signals, manage risks, monitor security, and provide market intelligence.
It’s possible that the project offers predictive analytics for network health, market trends, risk assessment, and opportunity spotting. And shed light on correlation analysis to highlight whale movements, developer activity, and Total Value Locked that could influence token prices and yields.
What technology or infrastructure does it use? | Structured Next.js application and use of Together.ai for llm inference + Llama model and Bing/Serper API for search +Helicon and Plausible.
The GitHub repository aldrin-labs/opensvm offers insights into the broader context of the project. First, the project has been forked from Nutlope/turboseek with 23 commits ahead of turboseek.
The last commit was about refactoring to update the color scheme to a light theme and fixing the layout whereby the last few days focus has been on fixing build errors, adding AI capabilities, and updating the user interface.
There is an indication of structured Next.js application and use of Together.ai for LLM inference, leveraging Llama 3.1 models (8B and 70B), and Bing/Serper API for search capabilities. Helicone is used for observability, and Plausible for analytics.
The framework is designed to power an AI search engine where a user's query triggers a search via Bing API, fetching top results, whereby the text from these results is scraped to provide context for the LLM.
The LLM then uses this context to answer the query and suggest related questions. There is an ongoing effort to improve the interface, integration with AI services, and user experience.
Future tasks include enhancing token management, adding user options like regenerate answers, improving citation in answers, and implementing more advanced retrieval-augmented generation (RAG) techniques.
The repository has 6 stars but no watchers or forks, indicating it's in the early stages or not widely recognized yet. There are no releases or packages published which suggests an ongoing development.
Who is the founder, and what is his vision? | A hardcore programmer that wants to democratize access to blockchain data.
This project is spearheaded by @0xrinegade with a vision to create tools that democratize access to blockchain data and functionalities through AI-driven insights. It’s noted the dev has over 150+ GitHub repositories dating back to 2022 with 298 contributions in 2024 alone. In past, the dev has been associated with @aldrin_labs and worked on developing Solana public goods in zig.
What is the roadmap or future potential of the project? | Backend system access as a paid service + expanding AI capabilities.
The roadmap for $SVMAI is not outlined. Based on our research, we may see an expansion of AI capabilities for more complex analysis, Integration with more Solana-based applications or services, and becoming a go-to tool for developers, traders, or analysts needing quick, reliable blockchain data insights. There are plans to provide the backend system in exchange for a paid service to pro researchers, devs, and enterprises.
References:
CA: Cpzvdx6pppc9TNArsGsqgShCsKC9NCCjA2gtzHvUpump
X profile: https://x.com/opensvm
Founder: https://x.com/0xrinegade
Telegram: https://t.me/opensvm
Github: https://github.com/aldrin-labs/opensvm
