How it works:

Mostly it gives you the basic info about a transaction and buttons for eliminating "decoy senders" whom you are mostly expected to identify using off chain data. I have a way to manually identify ringsig members as decoys but I haven't automated it yet. What I want to do is use known "view keys" to identify decoys, because if you have the view key you know the "true" tx in which you spent your own coin, so if you've been used as a decoy you can automatically filter that out.

Right now it also has two automated heuristics: merge analysis and recency bias. If you received coins in two very close blocks and then spend them together, your ring, which should contain keys from semi-random blocks, will have two suspiciously close blocks where you held both inputs. So you can identify those as the real spender's coins.

Recency bias takes advantage of the fact that most decoy selection algorithms are biased toward selecting keys from recently created utxos (on the principle that actively circulating coins are more likely to be spent than old ones). When you have a group of "new coin" decoys, coins that are significantly older stick out like a sore thumb, and you can plausibly identify them as the real spender's coins.

Other metrics I want to add include bot detection (which is based on identifying txs with many outputs, since these tend to be created by automated software rather than a real person) and taint tree analysis (which creates trees of possible senders fanning out backward in time from a known destination). I also think I can fingerprint wallets by their coin selection algorithm and then identify change when it shows up in a tx that uses the same algorithm.

One thing I learned while making this is that tracing monero is possible but it seems to take a considerable amount of manual work, a large set of off chain data about addresses that you know the view keys for, and regularly creating xmr transactions yourself so that you can identify your outputs as decoys when they show up in other people's transactions

My two automated heuristics right now only identify the sender in about 1 in 15 cases, so most of the time when looking at a transaction all you see is a tool for manually filtering out decoys on your own, which is still useful, but more automation is desirable

I hope to add about four more automated heuristics but I still think you'll need a considerable amount of off chain data entry to get really good data

I just tried it. This tool does not trace anything.

It doesn't work. Nice try maybe next time you can get the IRS bounty.

What a savage, love it.

You got some kind of vendetta going on right now huh?

“Monero is superior to LN”. LMAO

Nice try.

The reason it's so hard for you to scan for the recipient address is because it is a stealth address that will never be seen on the blockchain again. These stealth addresses are randomly generated and can only be linked back to the recipient by the recipient private keys. Please read the Monero docs or source code.

oh no super...not like this

Maybe we should rather help Monero (and Bitcoin/LN of course) being more untraceable instead helping the fucking feds?

You guys don't understand that there is no perfect privacy. But there are tools to increase your privacy levels. Use your energy and improve Bitcoins privacy. Because mass adaption will fail if not. People will use currencies with more privacy than Bitcoin. Mark my words.

Not good for Monero, but at the end of the day we need smart people to create things like this to find inefficiencies. How else can one improve?

Great now you can grab the IRS bounty;)

Big yikes if true 😄

where can he get the address of the picture I circled? If it could be implemented, surely everyone would try it.

You gonna break the hearts of all 'privacy freaks'.

Bro you are one of my favorite devs out there, hats off

Nice.