肆月siyue

The quick connects just couldn't hold up, so what VPNs is everyone using now?

The low-tier rewards for the $XAUT trading competition have been distributed, grab yours quickly!
Each account got 3u, which is already above expectations 😂

#pixel
I’ve been keeping an eye on $PIXEL for half a year and learned one key thing: having the right logic and having the right timing are two different beasts.
A lot of folks can’t distinguish between the two.
When looking at a project, if the logic seems sound, they think it’s time to jump in. But just because the logic checks out doesn’t mean the timing is right; sound logic only suggests the direction might be correct, but when to enter determines whether you're in the green or getting wrecked.
Back at the end of last year, when I was analyzing @Pixels , I had already acknowledged that CreatorPad is on the right track; the team hasn’t wavered in four years not because they lack opportunities to pivot, but because they genuinely believe this direction is worth pursuing. However, I judged that for this logic to pay off, they needed external games to really come onboard; otherwise, it’s just internal hype. So I held off.
Early this year, I checked the Q1 data, and CreatorPad's official version pulled in over $25M. That figure made me recalibrate my judgment; they’re not just spinning yarns; they’re actually running. But my skepticism didn’t fade: Pixels is the home turf, with all four years of data and a familiar team. Once external games come in, I’m uncertain if this mechanism’s precision can hold up.
So before Q4, I’m still sitting tight.
I’m not waiting to see if the "logic can deliver"; I’ve got a pretty solid read on that.
I’m waiting to find out: which company, at what time, and how they’ll integrate. Having specific names and a concrete timeline is way more convincing than just saying "Q4 will see external game integration" on a roadmap.
Q4 is my pivot point for recalibrating my $$PIXEL position. Once the signal drops, I'll reassess; if the signal hasn’t dropped, I’ll keep waiting.

#pixel $PIXEL
The first time I saw "Stacked's cumulative processing reward of 200 million USD," my reaction was: wow, that's massive, it shows the scale.
But then I thought about it, and realized I missed an important point: 200 million USD, how much actually got distributed, and to whom?
The reward system in Web3 games has a common issue; it's not that the money can't be distributed, it's that it doesn't reach the right players. Bots mass-register, studios use scripts to farm tasks, guilds take the rewards for themselves. These aren't isolated incidents; every P2E project that scales up inevitably runs into this structural dilemma. The result looks great on paper, but real players feel like they're not getting their fair share.
For four years, @Pixels has been wrestling with these issues. In the later stages of Axie, the "scholarship" system essentially allowed studios to scale up and offset the diminishing rewards for individual players. Guilds handled registrations and managed accounts in bulk, and by the end, the earnings for real players were diluted to almost nothing. This isn't called "the game isn't fun"; it's called "reward distribution failure."
What Stacked is doing now, in plain terms, is: give money to the real players. It relies on AI behavioral recognition, not just whether you registered, but how long you’re online, your resource gathering actions, trading frequency—these real activities. This model’s training samples come from the actual attack records over four years at Pixels, refined multiple times, not just hypothetical from a whitepaper.
So the reason to pay attention to the 200 million USD figure isn't how much was distributed, but how long this system has been running at that scale and how many versions it has iterated through. Once external games come in, with a changed environment and user profiles, the question is whether it can still distribute correctly. There isn’t a public answer to this yet, but at least there’s a reference point to compare against.

#pixel $PIXEL
Last week I had lunch with a friend who works at a game publishing company. He knows I’ve been deep diving into Web3.
He asked me what I’ve been looking at lately, and I mentioned something called Stacked, which helps game companies develop player incentive systems.
He put down his chopsticks and said, "Hold up, what do you mean by helping game companies with incentive systems?"
I thought for a moment and rephrased: "How much is your company spending on Facebook and Google to acquire users?"
He said a few million each quarter.
So, how many of those users actually bring long-term value to the game?
He paused and said that’s a great question, but tough to answer.
I explained that what Stacked does is redirect that cash flow directly to creators who can bring in real players: measurable results, auditable ROI, and the money isn’t just disappearing into ad platforms; it directly fuels player retention.
He asked, "Why don’t game companies do this themselves?"
I said, if you wanted to do it, you’d need to build a whole team and tech stack to identify miners, analyze behaviors, and adjust incentive parameters. That kind of moat takes four years of data to establish. Most teams don’t have that time or willingness.
He was silent for a moment and then asked if I had any specific case studies.
I mentioned @Pixels —four years, 5 million users, over $200 million in rewards processed, with AI accuracy based on historical data that other teams can't replicate with purchased algorithms.
He said it’s interesting, but why do Web2 game companies need this now?
I explained that user acquisition costs are skyrocketing, users are getting more expensive, and ad platform efficiency is declining. The logic of spending your own money and getting some back for retention holds true everywhere.
He was very intrigued and said he’d research it after lunch.

This question has always been unanswered: Once the money is spent, what exactly was bought? Ad platforms only track who clicked, not who stayed; game companies know how many players they retained but not who brought them in.
Stacked addresses this very issue: retention can be traced back, and whoever brings in real players gets paid. Understanding Pixels through this lens—four years, 5 million users, and $200 million in rewards—transforms it from just a "Web3 game" into a system that has spent four years solving the retention puzzle.

#pixel Someone asked me if I could stake $PIXEL for dividends, and I said I haven't made a move yet.
It's not that I don't believe in the direction; it's that there's a layer of distribution logic in between that I haven't figured out yet.
CreatorPad charges the B-side, and game companies integrate with it. The money CreatorPad makes → stakers receive the returns. There's something missing in this chain that I can't quite articulate.
How does CreatorPad distribute the profits to stakers? I’ve thought of two possibilities, and they differ significantly.
The most straightforward distribution method would be to distribute dividends directly based on staking ratios. CreatorPad would take a portion of its B-side revenue and distribute it to each holder based on their staking amount. This sounds reasonable, but since CreatorPad charges the B-side, how big the pool is and how much stakers can receive is currently undisclosed, and the plan hasn’t been finalized. The other possibility is that the profits go into an ecosystem fund, and stakers receive capital gains from the appreciation of $PIXEL .
If that's the case, staking now essentially means I'm buying into the token's appreciation post-CreatorPad’s success, while still holding the risk of price volatility. Whether this expectation can be fulfilled depends on whether CreatorPad's revenue scale is large enough.
I’m waiting for one piece of information regarding both possibilities: the official launch of CreatorPad and the specific distribution figures. Once I can see how wide this distribution chain is, I’ll have a better basis for judging whether it’s worth it compared to staking now.
@Pixels

#pixel $PIXEL
After the incentives for @Pixels changed, the meaning of retention data shifted as well.
On the day USDC incentives went live, I went to check the retention data for Pixels, initially hoping to see some attractive numbers, but I stumbled upon an issue: retention rates went up, but I couldn't tell who was sticking around.
In the past, when coin prices surged, retention numbers would also look appealing: more users joined, APR was high, and the data naturally looked good. But that was "incentive efficiency," not "game quality." When the incentives stopped, coin prices dropped, people left, and the retention numbers collapsed.
USDC incentives are different. USDC rewards aren't tied to coin prices; users stay because the game itself is worth playing. At this point, the retention data measures "game quality." We need to see if the content has stickiness and if players have a habit of returning, as well as whether this group has high LTV.
Both types of retention may appear similar, but their meanings are entirely different.
To determine which type of incentive is keeping users, just look at the APR composition.
APR supported by coin price incentives comes 100% from token inflation. APR supported by USDC incentives includes real consumer revenue; only this APR can truly correspond to retention quality.
I've seen two completely different retention curves in Pixels. One follows the coin price, rising fast and dropping just as quickly; the other grows slowly but steadily. Behind these two curves are two entirely different types of users sticking around.
Who's staying is more important than how much it went up.

$RAVE
Thanks to Binance for the 10u contract grid compensation voucher. As it stands, it looks like there's a chance it won't get triggered.

The spot trading rewards for $CHIP are limited to only 800 slots, so if you haven't jumped in yet, now's the time. This round has a profit of 5u🥹

#交易机器人
I grabbed a 10u contract grid bot compensation voucher, ran it on rave for less than a day and made 28 bucks 🤣
Too bad rave didn't hold up and broke the range 😥
Shoutout to Binance for the gift, finally got a compensation voucher that's making me some gains.

#pixel
$PIXEL
When scanning Web3 game data, there's one thing that's increasingly bugging me: every project claims to have some revenue, but most of the time, that figure can't be directly compared.
The reason is that Web3's "revenue" comes in two flavors.
First type: token incentives are dished out, users become "active," and the incentive amount counts as revenue. Essentially, it's just money moving from one pocket to another—the cash comes from the token price, flowing back into the pockets of token holders, and not a single cent is coming out of users' wallets. The higher this revenue, the more it indicates subsidy incentives rather than product quality.
Second type: real users spending on the platform, buying items, or contributing to transaction fees. This cash flows from users' pockets to net income for the project, with no token circulation involved.
The formats of these two figures displayed on-chain are almost identical, but the underlying logic is completely different.
When I evaluate a Web3 project's revenue now, I only ask one thing: is this money generated by the system itself, or is it genuinely coming out of users' pockets?
The figure @Pixels has me paying closer attention because the answer is the latter.
It’s not about how big this number is; it’s about the cleanliness of its source: this logic has been running internally for some time, without relying on token subsidies to prop up a false boom.
With the official launch of Q4 CreatorPad, what I want to see is: can this number maintain the same source method after integrating external games? If it holds steady, it indicates the logic can be replicated. If not, it’s just data from Pixels' home turf.

#pixel $PIXEL A friend in my group makes game content and has switched games four times in three years.

It's not because she's bad at it, but because every time a game dies, she practically has to start all over again to build her fanbase. She says making game content is like keeping the game company alive; if the game dies, she loses her job.

I used to think there was nothing that could be done about it; content follows the platform, it's only natural.

But after seeing CreatorPad's incentive logic, I paused for a moment.

The @Pixels ecosystem currently has four games running: Pixels, Pixel Dungeons, Forgotten Runiverse, and Sleepagotchi. CreatorPad's revenue sharing isn't tied to a single game, but to the activity trajectory of the users you bring across the entire ecosystem. The people you attract who move around across these four games count as your contribution.

The key is the "moving around" behavior. With traditional game content creators, users come to your videos, watch, and leave; they don't stay to play your other games.

CreatorPad's design is the opposite. The users you attract are "ecosystem users." The first time they might come from Pixels, the second time they might go to Pixel Dungeons, and the third time they might find Sleepagotchi on their own even before you've posted any content. These behavioral patterns are all recorded by CreatorPad; they are all your contributions.

Previously, you were dependent on games; if a game died, you had to start over. Now, your accumulation is tied to the ecosystem; whatever game becomes popular, you get a share.

This isn't a minor optimization; it's about shifting from working for games to working for the ecosystem.

$RAVE
After two hours of pulling up, it was directly cut in half, and many people chased after it. Rave is truly a dog dealer.
Currently, the charges are positive, and I don't think there will be a significant increase in a short time; it should still be mainly sharp rises and falls.
After all, the next wave of air force fuel still needs to be cultivated 😂