WalletWatcher

The Intelligence Layer for #VeChain. Visualize complex wallet networks, perform mass-analytics, and monitor the entire #VeBetterDAO ecosystem.

By @ReheatVet

[WalletWatcher @WalletWatcherV]

The WalletWatcher private preview has started!

The site is available publicly at: https://t.co/2pUu2JogQd - a whitelisted wallet is for now required to access the app.

Invites have gone out to users who have already expressed interested in trying it out and giving feedback. Do you want access but have not yet reached out?

DM for more information.

[WalletWatcher @WalletWatcherV]

Want to try out WalletWatcher for free? The private preview is still active so reach out here or via Discord at https://t.co/3oSl5llbJU

[WalletWatcher @WalletWatcherV]

Votes and voter behavior can be important to analyze. Today, we're taking a quick look at the Voting mode within #WalletWatcher.

It supports @veDelegate staking wallets & Lock2Earn terms, the new VeBetterDAO Auto Voter feature, and more.

[WalletWatcher @WalletWatcherV]

Are you auto-voting? You can enable us as your preferred relayer at https://t.co/3UFMSNNICU

[WalletWatcher @WalletWatcherV]

In summary, the Examine functionality is the final 'drill-down' on specific items. It is not designed to be a full @VeChainStats or https://t.co/5Bjs1L09Zx replacement but rather a curated set of important details.

If you want more information here or have any question - feel free to ask! DMs are still open for the private preview of WW coming soon.

[WalletWatcher @WalletWatcherV]

Today we are taking a look at the Examine functionality of #WalletWatcher.

If you want to drill down on a specific account, proof, dApp or proposal, you can.

It uses the @vechainofficial VeKit to allow avatar, banner & profile customization on chain. Your avatar & banner follow your account across the entire app and other apps using VeKit.

Note: The examine functionality is still under heavy development with more features planned for every type of examined item.

[WalletWatcher @WalletWatcherV]

If you find yourself reviewing proposal events, you can find the most important information on the proposal when examining.

[Paul @Paul_VCS]

Want to know where you stand amongst the $B3TR whales? 🐳

We just launched a combined B3TR + VOT3 rich list for a clearer picture of top holders.

It’s a heavy query, so give it a sec to load ⏳

Find your rank 👇
https://t.co/luL6xEizck

[VeChain @vechainofficial]

https://t.co/ad4r2KEB98

[WalletWatcher @WalletWatcherV]

Once an 'entry' wallet for obvious farming is found, use the Connections mode featured earlier to find shared wallets and analyze proofs on specific networks.

In this example, I scanned 1260 accounts tied together by two shared 'main' accounts for proofs (on any dApp).

Find the network, map it, analyze it. Visual proofs make it very simple to do so.

[WalletWatcher @WalletWatcherV]

This week we are starting off with one of the most important features of #WalletWatcher - analyzing proofs. Every single sustainability proof submitted by users of VeBetterDAO dApps is tracked.

Add an app (or a list of wallets) to your analysis - quickly find every single submission with that dApp. Figure out signaled wallets claiming rewards from that dApp.

If there are signaled wallets claiming, the dApp is most likely not reading from the signal admin to block these users. If there are obvious farming submissions like in this screenshot, and the account is not signaled, it means the dApp is either only internally banning off-chain or even worse, not banning at all.

[WalletWatcher @WalletWatcherV]

Up next is a way to track NFT Activity. By searching for an NFT collection and optionally filtering by specific token IDs within that collection, we can trace all movements of the NFT.

In this example, we are tracing a VeHash with ID 5680 being passed around - either by a direct transfer or from a @worldofv_art sale - from wallet to wallet as they get signaled. VeHashes are multipliers in @ST3PR_VET but due to ST3PR's excellent usage of the signal admin and a "maturity phase", it's very easy to follow the on-chain trace of these NFTs.

Signals will have a featured post later on because of its importance not only within WalletWatcher but on the entirety of #VeBetterDAO as a whole. If you're a dApp developer - please consider integrating it into your dApp.

[WalletWatcher @WalletWatcherV]

If you'd rather just browse to visually compare images - the Gallery view has you covered. Find the wallets, add these to your analysis and figure out shared 'exit' wallets to dig deeper.

[WalletWatcher @WalletWatcherV]

@MrUnknownvet That's why WalletWatcher exists. Trades like that will be much easier to trace at scale.

[WalletWatcher @WalletWatcherV]

Up next is a way to track NFT Activity. By searching for an NFT collection and optionally filtering by specific token IDs within that collection, we can trace all movements of the NFT.

In this example, we are tracing a VeHash with ID 5680 being passed around - either by a direct transfer or from a @worldofv_art sale - from wallet to wallet as they get signaled. VeHashes are multipliers in @ST3PR_VET but due to ST3PR's excellent usage of the signal admin and a "maturity phase", it's very easy to follow the on-chain trace of these NFTs.

Signals will have a featured post later on because of its importance not only within WalletWatcher but on the entirety of #VeBetterDAO as a whole. If you're a dApp developer - please consider integrating it into your dApp.

[WalletWatcher @WalletWatcherV]

Today, we are starting the first feature post for #WalletWatcher. Over the next couple of weeks, we will highlight features within the platform.

Up first is the Connections mode when analyzing wallets. This mode looks at your selected addresses and finds every single connection reason.

Vet transfers, B3TR transfers, fee delegation, NFT marketplace sales, auto vote relay fees or other. Is the connection primarily sending or receiving? Now you know.

If an account has interacted with another on chain in any way, it should be visible. In this example, two addresses have 8 and 198 connected addresses respectively.

[WalletWatcher @WalletWatcherV]

These examples are made using NFT collections or tokens as the input source. You can, of course, analyze NFT activity with wallets as the input as well.

[WalletWatcher @WalletWatcherV]

Just want an overview? Select collection(s) and look for patterns. Nine transfers from signaled wallets to new accounts might be a good start in this example.

(Yes, these have been reported to ST3PR for a look)