Rika (@Web3rika) header
Rika (@Web3rika) profile picture

AI & Crypto & Marketing|做了两年Marketing Agency 分享 AI 工具、营销灵感和工作流|正在build一个AI线下活动品牌MeetForward 微信:wincrypto(务必备注来意)

TG联系我
Joined June 2023
“There is no moat.” But moats are everywhere: Ambition. Taste. Agency. Curiosity. Judgment. Courage. Obsession. Persistence. Integrity. Patience. This era belongs to those who refuse to be mediocre.
162
410
79
3,274
126,646
It’s almost incomprehensible how wide the distance is between someone who’s working at the frontier with AI and basically everyone else right now. The crazy thing is these lines are not converging, but only growing farther apart. If the curve of AI progress had leveled off, it would certainly have given most people and companies time to catch up or implement their workflows in a standardized way. The technology would have neutralized competitive advantage because everyone would be using it the same way. But what’s happened is the opposite. The curve of AI progress is basically going vertical right now, which means if you had codified your processes 3-6 months ago you’re likely already behind again. Now imagine most companies that kicked into gear a year ago and thought that they were done. Even further behind now. I’ve never seen a technology in my life and career that improves at this rate, which consequently means you need to upgrade your expectations at a similar rate. Our brains weren’t wired for this, and our organizational change management processes certainly weren’t either. With any form of recursive self improvement, things just get wilder. It’s a time when you will need to be constantly reevaluating the things that didn’t work just a couple months ago to see if they now can be solved. AI native companies certainly have a strong advantage due to this right now, so now it comes down to can the bigger companies keep up. Wild times.
878
1,178
489
9,756
3,190,505
what are the new types of founders that might get unlocked in the post-AI era? - solo founders - non-technical founders - domain expert with no tech experience (ex: a dentist builds dental SaaS empire) - content creator whose new content is "apps" ... who else is on this list?
229
41
24
600
52,634
需要理解的是,绝大部分 ai 应用公司严重亏损,依靠持续融资才能活命。它们持续融资的能力取决于把 arr 不断做大。 而且它的很多 arr 也来自严重亏损,需要持续融资才能活命的创业公司。 所以整个链条上的估值只能涨,不能跌,才能吸引外面更多热钱涌入。大家硬着头皮一起把估值做高。 链条上的关键节点一旦遇到估值下降,其它相关合作伙伴持续融资的通道可能突然关闭,然后企业突然倒闭,之前的 arr 也突然消失。
15
2
149
23,305
Rika retweeted
Replying to @matthias_mrc
I built my own workspace.
1
2
1,327
做1年,看3年,想5年。 之前我不知道想5年主要想什么,有什么可想的?市场瞬息万变,做一步看一步。 但是看了这个视频,我突然知道经历周期的人在想什么了!
17
89
10
542
162,864
你相信什么你的人生就会发生什么。
1,413
356
267
3,134
539,506
我发现,几乎所有想靠 AI 赚钱的人,最后都会经历这五个阶段。 第一阶段:钻研技术。天天研究新模型、新工具、插件,skill,越学越兴奋。最容易产生一种幻觉:我懂了这么多别人不懂的东西,肯定能赚到钱。 于是进入第二阶段。 第二阶段:搞“一人公司”。觉得自己会 AI,就不应该再用传统方式做生意。运营、设计、程序员、客服,全部让 AI 干。一个人、一台电脑,顶一个团队。结果做了一阵才发现:Token 越烧越多,订阅费越来越高,钱却没赚到多少。这时候才明白:AI 只能提高效率,但如果你做的东西没人要,效率越高,只是更快地生产垃圾。于是进入第三阶段。 第三阶段:开始搞流量。你发现,产品再好,没人看见也没用。于是开始研究自媒体、标题、短视频、算法、完播率、互动率、涨粉。以前研究的是:“AI 怎么用?”后来研究的是:“怎么让更多人看到我?”然后你会发现,AI 变现翻来覆去就那么几种:卖课、咨询、社群、定制开发、卖资料。于是进入第四阶段。 第四阶段:开始教别人赚钱。把自己踩过的坑、研究过的方法打包成产品。开始讲:“普通人怎么靠 AI 赚钱。”“我是怎么用 AI 涨粉的。”“一个人怎么靠 AI 做公司。”结果又发现,教人赚钱这条赛道早就挤满了。用户也被各种“副业”“搞钱”“认知课”割麻了。于是进入第五阶段。 第五阶段: 就是彻底佛系了,对AI去魅了。 极少人进入第六阶段:找到一个真正适合自己、有人愿意付钱,而且可以长期做的方向。把技术、流量、产品和商业模式真正串起来。
284
196
31
1,464
263,361
都没必要听到第二页了🤣
67
5
1
234
61,322
I wish more founders made more raw screen recordings of real product interfaces and the thinking behind them, rather than polished high-production launch videos
151
52
21
853
44,205
给不认识的人发私信,你发一句「在吗」 我个人觉得是个很冒犯的事情,甚至可以说是没有礼貌了。给不认识的人发私信最好是一次过说清楚你的目的,和你要表达的重点。 废话少一点,文字少一点,对方习惯用英文,就翻译成英文发过去,尽可能地降低对方阅读你信息的时间与精力成本。 你发一句「在吗」,所以是希望对方回一句「在的,什么事?」吗,然后完了还得等你回复。
415
5
7
267
95,656
🚀 DeepSeek-V4-Flash Official API is now LIVE in public beta! 🔷 We’ve massively upgraded its Agent capabilities—benchmark scores are now far surpassing the V4-Pro-Preview. Check out the massive performance leap below! 👇 🔷 The official V4-Flash now natively supports the Responses API format and is fully adapted for Codex! Check out the configuration details in our official API docs: api-docs.deepseek.com/quick_…
1,687
3,482
2,167
29,748
9,612,416
builder in public 不知道每天发什么??? 产品变化:上线、功能、Bug、前后对比、用户结果 工具实验:新模型、新工具、真实接入、效果比较 教程方法:操作步骤、工作流、技术方案、踩坑记录 经营数字:收入、订单、访问、成本、退款、用户量 产品判断:定价、分发、商业模式、AI 与创业 公开提问:征集需求、功能选择、寻找解决方法 生活观察:工作状态、消费、旅行和创业生活 他人成果:用户作品、优秀产品、社区案例和点评
77
13
7
81
10,444
Rika retweeted
Big news: Kimi-K3 by @Kimi_Moonshot is now #1 in the Frontend Code Arena with 1679 pts, surpassing Claude Fable 5. This is a 17-place jump from Kimi-k2.6 (#18 -> #1). In Frontend, Kimi-K3 ranked #1 in 6 of 7 domains: Brand & Marketing, Reference-Based Design, Data & Analytics, Consumer Product, Simulations, and Content Creation Tools, landing #2 only in Gaming behind Fable 5. The full model weights will be released by July 27. Congrats to the @Kimi_Moonshot team on this major milestone!
1,066
3,888
3,172
26,150
20,290,596
If you’re going to do a tech podcast in 2026 please do yourself (and the rest of us) a favor and do something different, unique, etc. A new format. Super high production quality. A guest who hasn’t been on every other show. The baseline is too high now. Everyone does video. Tools are inexpensive. Products like Riverside, Descript, etc are so good that the out of the box episode is good no matter what. So you need to go above that. You need to aim higher. And you can! There are so many unexplored formats. Don’t be afraid to get creative. Zig when others are zagging.
57
10
17
315
106,958
Rika retweeted
I couldn’t care less if Circle’s USDC lost dominance and went to zero. Crypto natives were the ones making it successful but got no airdrops, no IPO allocation or anything. If Open USD via Plasma, Tempo etc throw billions in incentives via liquidity mining to grow $OUSD MC, then it’s better for us - higher yields. Bring on stablecoin wars
73
73
8
774
65,585
Many people misunderstand the crypto neobank category. What they see is a crypto card that can be used for everyday spending. But the viability of the business is not determined by the card itself. It is determined by the settlement layer underneath. In terms of payment experience alone, traditional cards still have the advantage. Visa and Mastercard have spent decades building merchant networks, fraud protection systems, and payment processor relationships that new entrants cannot quickly replicate. What truly differentiates crypto neobanks is stablecoins. Traditional payments involve multiple stages, including authorization, clearing, funding, and settlement. They also depend on banking hours and pre-funded accounts. Stablecoins allow issuers to move funds 24/7, reconcile balances faster, and reduce the amount of capital sitting idle between settlement cycles. Observable onchain crypto card volume has now reached $10.04 billion, with five distinct categories emerging: - Full-stack issuers such as Rain - Exchange-backed cards from Coinbase and Bybit - DeFi-native cards from Etherfi and MetaMask - Stablecoin-native neobanks such as Plasma and RedotPay - Remittance-focused products such as Felix Pago Each company is building a different moat. Rain provides issuance infrastructure to multiple crypto applications. Coinbase uses its existing users, custody services, and fiat rails to expand into everyday spending. RedotPay targets emerging markets where banking infrastructure remains weak, addressing demand for dollar access and cross-border money movement. However, Visa and Mastercard are also expanding into the stablecoin settlement layer. Stablecoins may become part of the financial infrastructure of the future, but that does not mean stablecoin-native companies will necessarily capture most of the value. Many crypto neobanks will likely disappear. The survivors will be those that either control distribution or solve regional problems that traditional banks continue to overlook. The card was never the moat. The company that controls the settlement layer underneath is more likely to win.
1
2
5
678
RWA is one of the few sectors that has continued to grow this year. The on-chain RWA market is currently around $32B, up roughly 300% over the past year. More importantly, much of this growth took place during one of the weakest periods in the crypto market. This suggests that RWA demand may not be driven purely by market sentiment. The more important question is where that demand is coming from. Rather than looking at RWA as a single category, it may be more useful to view it as a set of financial access experiments: Tokenized funds are testing institutional-grade on-chain allocation. Tokenized commodities are testing whether assets like gold can move more efficiently through crypto rails. Tokenized equities are testing whether global users can access stock-linked exposure with fewer constraints than traditional brokerage systems. Among these, tokenized equities remain early, but they may become one of the more user-facing RWA applications. For many users outside the US, access to US equities is still shaped by local brokerage availability, account approval, funding rails, trading hours, and regional restrictions. Tokenized equities attempt to create a new access layer through crypto-native infrastructure. The key variables to monitor are: → Asset backing → Issuer transparency → Liquidity depth → Regulatory structure → User accessibility RWA should not be evaluated only as a crypto narrative. It is also a distribution problem: how real-world financial assets can become easier to access, trade, and integrate with on-chain products. If infrastructure and compliance continue to mature, tokenized equities could become one of the clearest bridges between traditional markets and on-chain finance.
1
1
3
190
Don't use AI for writing until you develop your own taste and voice Using AI to write isn't inherently bad. The danger is using AI to write before you've developed your taste for what is good content. If the AI produces slop, you won't even recognize it as slop Read a lot to figure out what good looks like. Write a lot to know what your voice sounds like. Only then, use AI to help you write, but make sure it actually sounds like you
65
19
11
290
16,506
Influencer marketing is here to stay. Here are 5 reasons why ↓ - It is no longer a one-time test; it is part of the main strategy. - Good KOLs bring real trust and attention that standard ads just cannot buy. - A great influencer keeps driving results throughout a campaign, not just on day one. - Smart teams combine influencers with Google search, paid ads, and news articles. - It is shifting from a quick shoutout to a permanent way to get real users. Influencer marketing still matters, but the strongest teams are no longer using it alone
1
3
707