First Buyers Scanner vs. Bundle Checker: What's Actually Different
We built two separate tools that both look at a token's earliest buyers, and it's fair to ask why — especially since under the hood they run the exact same analysis. The difference is entirely in what you're trying to answer.
Same data, different ordering
Both tools read a token's launch window and reconstruct who bought, how much, and when. Bundle Checker sorts that by amount and reports it as a supply concentration picture: what percentage of the token went to early wallets, and whether several landed in the same slot. First Buyers Scanner sorts the exact same wallets chronologically instead — first buyer, second, third — regardless of size.
When the ordering actually changes the answer
Most of the time it doesn't matter much — the first buyer is often also the largest, especially on a bundled launch where the earliest wallets bought deliberately and in size. But not always. A token can have a small early buyer who got in within the first couple of slots, followed by a much larger buyer a bit later who dominates the amount-sorted view. Bundle Checker would put that later, larger wallet near the top. First Buyers Scanner would show you the actual timeline, with the small early wallet listed first, exactly where it happened.
If the question is "how concentrated is this token's early supply," Bundle Checker answers it directly. If the question is "who was actually there first, regardless of size," First Buyers Scanner does.
One detail both tools get right the same way
Neither counts the bonding-curve account itself as a buyer, which matters more than it sounds — we found and fixed a real bug where that account's own balance change at launch was getting mixed in with actual buyer wallets, pushing reported percentages past 100%. Fixing it once in the shared analysis meant both tools inherited the fix, not just one.
Run Bundle Checker for the concentration picture, or First Buyers Scanner for the actual order of events — both work off the same mint address.