风无向🎒

风无向🎒

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Build is launching Warden's launchpad and prediction market agent analytics. Participation will likely require staking WARD, but there should also be a public round allocation. Also, previous tweets from the project team indicated that the prediction market will launch soon, along with a dedicated prediction market agent. Build's product line seems to be keeping up with trends, but this will put their actual delivery capabilities to the test. Hopefully, they'll do a good job.

@wardenprotocol

Something big is coming to Warden... The Agent Launchpad Hold $WARD, stake $WARD and get Launchpad Power Launchpad Power = Airdrops & Preferential allocations Staking goes live this week

We're not going to follow BP's old path, that's for sure. BP's token economics, from the perspective of fairness and community, has indeed paved a way that no one has gone before. It's all or nothing.

Armani Ferrante

@armaniferrante

In the Backpack tokenomics, we have one guiding principle. - Insiders "dumping on retail" should be impossible: no founder, executive, employee, or venture investor should receive wealth from the token until the product hits escape velocity. Of course it begs the question, what x.com/Backpack/statu…

I rarely take on airdrop boosting services. Firstly, I have sufficient funds, and secondly, I'm concerned about clients losing money and not being able to handle the financial burden. If I were to work on a project, let's say it's 3 USDT per cent this week, 6 USDT per cent next week, and maybe 10 USDT per cent the week after. Over the long term, my costs are relatively low. However, I can't guarantee the weekly or long-term costs. And with anti-slip boosting, I can't guarantee against various unexpected events like the Sybil event. If I encounter an unexpected event, I can cover it all and accept it. But you can't say that to clients who are boosting their accounts. They might not accept it. One client was willing to accept it. I told him I didn't guarantee against theft or Sybil events, and that under normal circumstances, only 10% of their ETH would be lost. The potential return should be several times the initial investment. Tintin said he could accept it and believed me. We succeeded. Since then, I haven't really boosted anyone's accounts. Sometimes, I receive tens of thousands of dollars from lazy friends who send me money, and I just run the scripts and help them out, but these are all people I know very well. If you absolutely need someone to help you with this, I can give you some scoring criteria based on credit checks. 1: Do you own a house? (This indicates a stable, long-term personality. Owning a sports car doesn't add points.) 2: Are you married? (Married people are generally considered more stable.) 3: Ideally, you should be over 25, with 28-40 being the most suitable. Those who are too young and flamboyant carry greater risk and are more volatile. 4: Long-term business stability and consistency between words and actions. This assesses your long-term cognitive level. twitter.com/Web3Feng/status/20...

I checked @opinionlabsxyz's post; they've added Realized PnL statistics to the trading history. Okay, you might think, what's so special about that? Actually, PolyMarket doesn't even have Realized PnL statistics. Many Perp DEXs don't either. Most platforms only have Profit statistics, which is total profit OR total loss. Because this is easy to calculate, simply using (total deposits - total withdrawals) - current net worth. This simple formula easily gives you the PNL for the entire account. However, calculating the PNL for each trade and position is very complex. Yes, very complex, considering many factors. Most Perp DEXs haven't implemented position statistics because the calculation logic is somewhat complex and requires specific databases. So, the question always arises: what makes a good product? This is a good product, and I think @ForrestOLAB can further improve it in the future. Because I've seen the details.

Women with high incomes lack altruism. Finally, recalling the past, Ms. H is 168cm tall, has a good appearance (above 6 out of 10), and a great temperament. We've known each other for a little over a month, and dated four times in total: once near my home, and three times near hers. She was always about half an hour late. Each meal probably cost between 800-1200 RMB. I even gave her a pair of Dior earrings, which I bought in Hong Kong with my son for around 6K RMB. However, I'm deciding to cut my losses and stop contacting her. Run!!! Ms. H probably earns over a million RMB a year, drives a Mercedes, and owns several properties; her income is considered high in a second-tier city. You see, does a woman with high income have altruism? She never paid for a single meal, and she never showed any intention of reciprocating with gifts. There wasn't much emotional value involved. She was always half an hour late for meals. I feel this also highlights a problem with many high-achieving older women today: their high income comes with a lack of altruism. Men with high incomes are assumed to contribute to women and families, while women with high incomes tend to spend and save only on themselves. Look at my whole experience: the overall cost of our dates and meals was relatively high, and I gave relatively valuable gifts, but was it a good experience? No, that's why men shouldn't look for career-driven women as wives, because their altruism is too weak. Women under 26 with average careers and good looks are more altruistic. Beauty is something to be proud of; physical attraction is altruism; being a full-time caregiver is altruism; dependence provides emotional value is altruism. High income, besides bringing high spending and higher expectations, doesn't bring altruism. This is especially serious for women in mainland China. It's probably better in Hong Kong, Singapore, and Shenzhen, where women have a stronger sense of reciprocity in their contributions. Currently, career-oriented women in mainland China seem to have advantages, but the disadvantages outweigh the advantages. A small cake is the ultimate answer. In conclusion: I agree that women are equal to men, that women are just as strong as men, and that women can also find stay-at-home dads. Women's power is great!

对于大龄剩女有种生理性厌恶，金融性喜欢。最近Dating了一位女士简称H小姐，年纪30，事业有成，有自己的教育公司，家境也蛮好的，父母都国企退休。大家一起感觉也还不错。吃了几顿饭。 x.com/Web3Feng/statu…

I have a visceral aversion to older single women, but a financial attraction to them. Recently, I started dating a woman, let's call her Ms. H. She's 30, successful in her career, owns her own education company, and comes from a well-off family; both her parents are retired from state-owned enterprises. We got along quite well and had a few meals together. A few days ago, we met for dinner near her house, about a 40-minute drive away. I informed her on the way, and even waited for her for half an hour after I arrived. We had a Japanese set meal for 1280 yuan. Ms. H seems to have connections and social resources. She mentioned having been to many high-end restaurants and seemed to know quite a few business owners. She's also efficient and decisive. However, her downside is a lack of customer service awareness. Having spent so much time with abstract concepts like Web3, I feel like anyone over 25 who's into Web2 is an old fogey. If you date an older woman, anyone with even a little maturity will pamper you like a baby. I feel like older single women are like female college students looking for sugar daddies. Physiological aversion, financial attraction. After all, Ms. H is the ideal partner for a blended family to build a good life together, but can you really be happy looking at her every day?

众所周知一般来说大龄剩女，大龄只是她最小的缺点。所以，还有啥致命缺点。

To apply for the card, just use the prophet's link; he invited me. He said that you get points for card spending and there will be airdrops in the future, so you should be able to win. He also said that TIA's model is like the wool coming from the pig's back while the dog pays the bill. He then added that he would never short tokens for hedging again. Have you learned it? twitter.com/Web3Feng/status/20...

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