About MindSpider
A project identity for an AI crawler built around topic momentum, not vanity scraping.
MindSpider is best understood as an architecture: detect what is rising, extract the topic structure, then push those topics into deeper platform crawls so the resulting sentiment data is durable enough to analyze.
Not just a trend dashboard
MindSpider does not stop at headline aggregation. Its value comes from using discovery to drive deeper crawl tasks.
Not just a crawler collection
The project is organized around topic operations, not a random bag of platform scripts.
Not pretending to be a finished SaaS
This site deliberately presents the project honestly: repositories and setup notes first, polished product onboarding second.
What MindSpider is
MindSpider is an AI-powered sentiment crawling system designed to turn daily trend signals into structured platform evidence. It is not just a feed monitor and not just a crawler farm. The core idea is to connect topic discovery to deeper social feedback collection in one loop.
Why the architecture matters
Most social listening tooling either stops too early at headline aggregation or starts too late with manual keyword entry. MindSpider bridges that gap by generating the crawl targets from the discovery layer itself.
How to read the current project state
The public repository still explains the system shape, setup, and schema. The maintainers note that the latest evolution now lives under BettaFish, so this site points to both the original project identity and its current upstream home.
Who this is for
MindSpider fits researchers, operators, founders, and analysts who need to follow how a topic propagates across social platforms without manually stitching together five different scraping workflows.
Repository Context
Keep the project identity and the current upstream path in the same frame.
The original MindSpider repository explains the project clearly. The README also notes that newer code now lives under BettaFish. Keeping both links visible makes the site useful for first-time visitors and accurate for people who want the latest implementation.