Spent over a week digging into $LIT airdrop holder data, but hit a dead end.
Initially, I wanted to track early airdrop participants' holdings by querying $LIT's on-chain transactions. But the problem was—queries returned no results, nothing at all. At first, I thought there was an issue with my data query syntax, but after comparing with blockchain explorers and on-chain data tools, I found that the historical data retention period was the bottleneck. Many transaction records were beyond the standard query window, especially those early transactions.
This means that to fully track holder behavior and liquidity changes after the airdrop distribution, I need to take a more indirect approach—perhaps by analyzing wallet address labels, exchange deposit and withdrawal records, or on-chain event logs. Has anyone encountered similar data analysis bottlenecks with $LIT?
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DefiOldTrickster
· 01-11 07:28
Haha, that's why I said you should chase airdrops early. Once the data window closes, it really becomes a blind box.
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BrokenRugs
· 01-11 01:01
We've encountered a historical data black hole, this issue is really annoying.
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SolidityJester
· 01-11 01:01
Haha, this is the curse of on-chain data. Historical records are always the hardest to dig up.
It's basically impossible to fully track early airdrops, so might as well change the approach.
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YieldHunter
· 01-11 01:00
ngl data availability issues are the real enemy here... tried the same workaround with older airdrops before, indexing gaps are brutal. ever check snapshot history or just go full detective mode with wallet labels? honestly if you're hitting no results this hard maybe the whale distribution was messier than it looked.
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HypotheticalLiquidator
· 01-11 00:59
The data window has been cut, and this is the illusion of on-chain transparency. The early holders have already escaped, and now trying to track them is like chasing a domino effect.
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GasFeeCrying
· 01-11 00:56
A week of nothing but silence—that's the daily routine of on-chain analysis.
It took a week to realize it was the data window's fault; pretty frustrating.
Early transaction records have been collecting dust, no wonder I couldn't find anything.
LIT's data is really well hidden; I need to take multiple approaches to get around it.
Can wallet tagging save the day? I also want to know how to break through.
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ZeroRushCaptain
· 01-11 00:47
Haha, this is what you call a reverse indicator—no data left, which means the big players have already exited.
It reminds me of a previous airdrop coin I tracked. After searching for a long time, I realized I was just talking to a wall; their historical records had been completely deleted, and those early holders' funds are probably long gone for bottom-fishing. At this point, you really need to change your approach, perhaps by reverse-engineering from exchange inflows and outflows. It’s more troublesome but at least you won’t keep hitting a wall.
Honestly, these checkpoints are just telling you—don’t bother trying to catch the dip; they’ve already made a perfect exit.
Spent over a week digging into $LIT airdrop holder data, but hit a dead end.
Initially, I wanted to track early airdrop participants' holdings by querying $LIT's on-chain transactions. But the problem was—queries returned no results, nothing at all. At first, I thought there was an issue with my data query syntax, but after comparing with blockchain explorers and on-chain data tools, I found that the historical data retention period was the bottleneck. Many transaction records were beyond the standard query window, especially those early transactions.
This means that to fully track holder behavior and liquidity changes after the airdrop distribution, I need to take a more indirect approach—perhaps by analyzing wallet address labels, exchange deposit and withdrawal records, or on-chain event logs. Has anyone encountered similar data analysis bottlenecks with $LIT?