Gm guys! Sharing 6 tools I usually use to track data,either to research projects or monitor market conditions… before making investment decisions, or simply to get a sense of where the market trend might go. @Dune Analytics + Core use: extracting raw on-chain data + Custom dashboards (tx, users, contracts, flows) +Very strong for validating new narratives + Very strong for validating new narrativesds. → If you’re not checking Dune, you’re reading “second-hand” narratives. @nansen_ai + Core use: tracking smart money flows + Smart money tracking + Wallet labeling (funds, whales, insiders) + See who’s entering / exiting before the market. → This is where narratives get front-run. @arkham + Core use: breaking down wallets & entities + Track specific wallets (team, MM, funds) + Real-time alerts on large movements + Very useful for detecting distribution / accumulation. → Not just “who is buying”, but “who is behind it”. @tokenterminal + Core use: measuring real value + Revenue, fees, valuation (P/S, P/E) + Compare protocols based on fundamentals + Clean data, widely used by funds. → A narrative only lasts if there’s real cash flow behind it. @DefiLlama -Core use: liquidity & TVL -TVL, stablecoin flows, yields -Track capital rotation across chains -Fast updates, easy to read → This is the “macro dashboard” of DeFi. @flipsidecrypto -Core use: user behavior analytics -Cohort, retention, user growth -More structured datasets than Dune -Great for deep-diving into adoption → Helps distinguish real users vs farming. And if you combine these tools together, complementing each other, it works extremely well: - Dune / Flipside → read raw data (what is happening). - Nansen / Arkham → read money flow (who is doing it). - DefiLlama → read liquidity (where capital goes). - Tokenterminal → read value (is it sustainable). Of course, there are many other tools and websites that are fast, free, and fairly accurate for checking data. But honestly, I think sometimes just mastering one tool is already enough,it really depends on your personal use case. …As long as you clearly understand what you’re looking for in the data, and where that tool’s limitations are.Because in the end, tools don’t create edge,how you read the data does.

pick one mate