I’ve been trying to make sense of all the data sources out there lately and it feels like the more tools you add, the harder it gets to actually use anything properly Like, you start with simple stuff, and then suddenly you are juggling APIs, dashboards, spreadsheets, and random scripts just to track a few signals and half the time you are not even sure if what you are looking at is useful or just noise what i keep wondering is whether people are actually building clean workflows around this or if most setups are just patched together over time especially with things like insider activity, ETF flows, on-chain data and even prediction markets, there is a lot of interesting info, but turning it into something you can actually reason with is where it breaks down for me are people here building their own pipelines or relying on certain tools that already structure things in a better way would be interesting to hear how others are approaching this without overcomplicating everything submitted by /u/Fun-Fan-7070
Originally posted by u/Fun-Fan-7070 on r/ArtificialInteligence