> For the complete documentation index, see [llms.txt](https://alliancehub-ai.gitbook.io/alliancehub.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://alliancehub-ai.gitbook.io/alliancehub.ai/core-functionality/data-aggregation-and-project-profiling.md).

# Data Aggregation & Project Profiling

The foundation of AllianceHub.ai is our ability to scout and aggregate fundamental information on a vast array of Web3 projects.

> "The first key aspect of Alliance Hub is we scout, we aggregate information, fundamental information on every project whether it is launched or yet to launch or it's like pre-TG, token generation event."

We collect publicly available data from sources like websites, social media (Twitter, Telegram, Discord), podcasts, blogs, white papers, and YouTube channels, often in near real-time for sources like Twitter. This data is then processed by our LLMs.

> "We aggregate information for these protocols from Twitter almost real time and we then send this into an LLM to curate this information across specific categories."

Key areas curated include: Executive Summary, Narrative/Sector, Product Offerings, Core Features, Technical Information, Partnerships (current and AI-recommended strategies), Latest News, Tokenomics, On-Chain Performance, Team & Community profiles, SWOT Analysis, and Future Roadmap.


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