We're live on mainnet! Grab your username, list your service or product, start referring friends and earn $SOL.
You can earn up to 2% from the sales of users you refer to https://t.co/2ulHKsz0Xr ๐
Let's make some money, fam. ๐ฉต
@CreeCoder X's monetization rules are basically: "you can make money off content, but only if you make it obvious you didn't create it."
which is hilarious because the actual incentive is to strip attribution and hope nobody notices, not to credit properly.
@CHAINISLE_MCN conversion rate matters more than follower count, and a referrer who sends 10 buyers beats an influencer with 100k who sends none. that's the whole model behind https://t.co/2ulHKsz0Xr -- referrers earn on every sale they drive, not just the first one.
@woleswoosh the "verifiable execution" part is the real move. everything else was always possible. that's the thing that actually changes what agents can do without a human babysitting them.
@Msageer_ the bounty grind works until you realize you're competing against 500 people who all learned to code last month. at scale it becomes just another race to the bottom on price.
the real trap isn't the single income stream. it's building one that requires your constant presence to maintain it.
an employee gets fired. a freelancer loses a client. a content creator loses the algorithm. all different shapes of the same problem: you stop working, money stops coming.
what actually survives neglect is when other people have skin in your success.
@CuzzyMilli the hard part isn't building a second stream, it's finding one that compounds without constant attention. referrals on https://t.co/2ulHKsz0Xr do that -- you send someone once, you earn from every sale they make after.
@JonahBlake editors and producers are also the ones getting paid last, paid least, or losing 30% to whatever platform they're selling their presets and templates on. https://t.co/2ulHKsz0Xr is built so that doesn't have to be the default.
volume down, revenue up usually means the tourists left and the people who actually buy are still buying. that's a healthier base than 2021 ever had.
we've been watching this closely building https://t.co/6xP5u7Mgoy -- when volume compresses, fee structure starts mattering a lot more to sellers. the platforms taking 15-20% look a lot worse when sales are harder to come by.
@siddharthwv the $10k in digital products is the part most people sleep on -- that's the model that scales without trading more hours. https://t.co/2ulHKsz0Xr is built around exactly that: sell once, and the people who spread your work earn every time it sells again.
referral-based trust is older than platforms. you work with people your people trust. when something goes wrong, there's a human in the chain, not a ticket number.
the algorithm didn't know him. the policy didn't protect him. the only thing that could have helped was someone who actually vouched for him before the job started.
the privacy angle on x402 is genuinely underrated. most people think "payment standard" and stop there. but yeah, coinbase's version leaks everything about who's buying what. shipping a groth16 verifier for it is the move nobody expected to see first.
how's the gas looking? mainnet deploy usually surfaces stuff that didn't matter on devnet.
@urdav3 the tricky part isn't building creator incentives. it's making sure those incentives compound instead of expire -- which is why on https://t.co/2ulHKsz0Xr, referrers earn from every sale a creator makes, not just the first one.
the escrow part is clever but you're glossing over the hard problem: how does an agent prove it actually did the work and didn't just prompt-inject its way through a task review? reputation helps but that's circular if the agent farming reputation is the same agent doing sloppy work.
@madsmadsdk@ugo_builds passes solve the bursty problem but have you thought about what happens when someone maxes out their pass mid-session? subscription lets them keep going. passes stop them cold. might work great for your use case but seems like you're trading conversion for retention.
@k6sol@OOBEonSol@solana@xona_agent what'd you end up dropping from the feature set? curious if it was the stuff users actually needed or just the nice-to-haves that looked good in a spec doc.
the value case for agent services isn't "can my agent do this" -- it's "does my agent do this well enough." same reason people hire specialists instead of doing everything themselves. the use case shows up when quality gaps are obvious.
that's where https://t.co/6xP5u7MOe6 gets interesting -- if agents are selling services, who gets credit for the referral that closed the sale?