Bitcoin mining used to mean loud rigs, big power bills, and a steep learning curve. @HivelloOfficial skips all three. No rig to buy, nnothing to configure. Bitcoin cloud mining through Hivello is live right now, the infrastructure side is on them, not you. $HVLO sits underneath it, more real usage across the platform, more reasons to hold and use it. Now trading on MEXC. NFA, DYOR. #Bitcoin #CloudMining

Leverage has a timing problem most people don't notice until it's too late, hold a leveraged position long enough and volatility quietly erodes it, regardless of whether you called the direction right. Liquidation-constrained leverage gets wiped out in the drawdown. Time-decaying leverage just bleeds. Either way, long-horizon holders lose to the math, not the market. @2FactorFinance is built around a narrower question: is there a leverage ratio where compounding actually works for the holder instead of against them? Their approach, split an asset's volatility into two perpetual tranches instead of borrowing against price. One side absorbs the volatility for a premium and deep downside protection. The other gets leveraged exposure funded by that premium, with no liquidation risk and no external hedging counterparty. The ratio isn't fixed, it's set by the asset's own drift and volatility, so it's tighter for something as volatile as BTC (~1.33x) than for lower-volatility assets like gold (~2.35x) or the S&P 500 (~2.1x). BTC markets are live on testnet right now, which tracks: Bitcoin is the hardest case for this mechanism, not the easiest. I joined the Points Program. Season 1 tracks verified social, education, and referral activity, no purchase or deposit earns Marks, only completed actions do. Marks have no cash value, can't be transferred, and aren't a claim on any token or asset. What they do set is the Season 1 leaderboard, where the top 10 split a 1 BTC prize pool once the season ends. Worth forming your own view on the mechanism first: points.2factor.finance/r/jk7… What would you stress-test first, the senior side's downside protection, or the junior side's funding cost?

RT @suisumarai: A number saved as my cousin used the exact Abuja slang we only use in our family chat and asked for fuel money sharp sharp.…

Catching the sunset 🌇 ✨️.

The Call: YES on Spain to win against England. ​The Reasoning: The market pricing Spain at just 40% (2.50x) undervalues the tactical continuity of the reigning World and European champions. Spain isn't just riding an emotional high, under Luis de la Fuente, they have evolved from passive possession into a devastatingly efficient system that manipulates space, while Thomas Tuchel's England is still implementing a new tactical identity, Spain possesses entrenched cohesion. With Rodri dictating the rhythm and dynamic wings relentlessly stretching the pitch, Spain's structural maturity gives them a significant tactical and psychological edge to control the match at Wembley. ​The Market: UNL: England vs Spain outcome.xyz/markets/sports/q… @Outcomexyz

Most VIP systems make you prove yourself in dollars before they let you in the doorA trading platform draws a line and asks how much you hold or how often you trade, before letting you into their VIP programs. But @MEXC 's VVIP program starts from a different premise whereby a new account begins with an M-Score of 350, and that number alone is enough to land in the Standard tier, with nothing specified about how much you hold or how much volume you've pushed through. The gate that normally keeps casual users out isn't there to hold you off on MEXC That raises an obvious question such as ? 1.) If assets and volume aren't the price of admission, then what is the M-Score actually measuring? 2.) Should other behaviors such as Loyalty, consistency, and how someone actually uses the platform over time also count ?? These all feel like reasonable inputs for a score that's meant to reflect standing rather than just size, Whether MEXC weighs things that way isn't something I can say for certain, but the zero-threshold design at least opens the door to that kind of thinking. Once you're in, the benefits scale with the tier you hold. One of the clearest examples is Card cashback under the Global and APAC Card promotion, whereby; 🔸Standard member gets 4% back, capped at 100 USDT a month. 🔸Premier menbers gets 6% back, capped at 300 USDT. 🔸While Elite members gets 10%, capped at 800 USDT. The cashback you receive depends on whichever tier you're holding at the end of the month, so it isn't a fixed number attached to the account forever, but rather moves with your standing. What stands out when you put the qualification side and the benefit side next to each other is how little friction sits between them. You don't need to be a whale to start receiving something back, you just need an account and whatever behavior feeds into that initial score. Whether that's enough to matter for someone who trades occasionally rather than constantly is worth sitting with, but the entry-level benefit is real rather than symbolic. If you want the actual numbers instead of taking any of this on faith, your M-Score, current tier, and the benefits tied to it are all visible on the VVIP page. Worth checking your own account rather than assuming where you land: mexc.com/user/m-score

做 X 内容、做增长、想拿创作者收益的兄弟们，我干了件可能帮大家赚钱且少走半年弯路的事： 我决定把自用的这套 X Growth OS 增长操作系统开源给大家，回馈大家一直以来的关注和支持！ 说实话，x是目前最值得投入的平台，我半年多副业都在x挣了有40多万，甚至说个暴论，要把x当做一家自己的公司去经营，X Growth OS 是一套纯本机优先、不可变草稿、每一步都在本地留下证据账本的独立系统。 为了把这套系统的逻辑彻底讲透，我顺手用最近大热的视频创作Pexo，全程纯聊天，从零到一捏了一条 45 秒完整的商业白板解说视频： 0 剪辑轨道、全程自然语言对齐，画面哪里不对直接在屏幕上画个红圈局部重绘，出来就是一条带配音、字幕和包装的可用成片！ 我觉得对于做产品、搞运营、做知识科普的兄弟们， AI 视频圈真正能干活的生产力工具今天真的落地了， 绝逼是今年把商业视频门槛干得最碎的一次，没有之一！ 你敲一句大白话： → 它在后台拉模型规划分镜、画线稿，自己去挑该用 Kling 还是海螺，把多轨剪辑和音画包装全包了； → 出来的不是一段需要你再导进剪辑软件缝合的 5 秒素材碎片，而是一条带配音、单行字幕、直接能发的 45 秒完整解说片； → 画面哪里不对，哪怕一个图标画错，不用切回剪辑软件，暂停视频在画面上画个圈批注，改字像在飞书文档里批注一样，鼠标画个圈打个点，它局部重绘，提示词不用删，更不用从头重抽！ → 交付出来就是一条自带单行字幕、旁白、配乐和手绘动作的完整 45 秒商业成片！ 我刚才拿自己刚做完的「X Growth OS 本机增长系统」45 秒产品白板视频做了一场全流程实测，咱们看下方视频： 我给它的第一道指令很简单：“把发推像拆炸弹的痛点，用真实人手拿着黑色马克笔在白纸上画出来，琥珀色代表决策，青绿色代表回执，先跑前 7 秒试片。” 指令一敲，它在后台直接开始拆解分镜， 很多人做视频第一步就踩坑： 迷信一句话直接生成大片，结果模型自由发散，出来的东西根本没法看。 Pexo 第一版试片给我弹了个花里胡哨的暗色 3D 风格， 我直接在对话框里回了一句：“风格太重，只要极简手绘线稿。”两秒钟后，白底黑线、真实人手画出散乱碎片的质感稳稳咬合住！把不确定性掐死在第 0 秒，整条片子的基调就不会跑偏。 确认完试片，后面 5 段顺着讲：划掉虚荣曝光、画出增长链路、画出不可变草稿与回执。 在同一个对话框里持续往下聊，它打破了传统 AI 视频 5 秒单次成片的硬顶，自己负责把段落拼合完整，并自动匹配语速节奏与转场，出来就是一条结构完整的长片，完全不用导出素材再进剪辑软件自己对音画。 最绝的是画面上的 Mark to Fix 批注修改，这绝对是全篇最聪明的一步： 做过视频的都懂以前有多崩溃， 憋脚本在 Notion，生成图在 Midjourney， 跑动效在 Kling 或 Hailuo， 最后还要扔进剪映拉几十条音轨与字幕轴，耗掉大半天拼出来的片子还是浓浓的拼接塑料感。 更搞人心态的是，一旦发现第 15 秒有个图标错了，整段提示词就得推倒重抽！ 而在 Pexo 这里，就像在飞书文档里画圈批注一样： 直接在成片画面上框选打点，敲一句话告诉它把这里的按键改成青绿色回执，它结合对话上下文直接把那两秒局部修好，完全不需要切回剪辑软件切轨道。 前面定好的白纸黑线风格与冷色调标记，在生成后续因果图和数据看板时被它全部记住，不需要每开一次新对话就重新教一遍模型做人。 但先把丑话说在前头，这东西是搞生产力的兵器，绝不是拍大片的玩具， 如果你想拿它生成赛博朋克电影、漫威特效、或者搞短剧带货擦边，赶紧绕道，它压根就不是干这个的。 而且它绝不是闭眼不管的无脑生成器，你的输入 Brief 事实边界越糊，它画出来的逻辑就越扯。 你自己的业务逻辑和审美，依然是最后的总指挥。 它省的其实已经不是那几秒生成时间，是把以前找外包花两三千、在多轨剪辑软件里搬砖两天的折磨，彻底压缩成几轮确定性的对话。 做知识科普、产品说明、业务流程或者商业汇报的朋友，真的可以把工作流彻底更新一下了。 说穿了：视频模型在大脑里算得多快不重要，但能让你在画面上画圈改稿的双手，才真正决定一条视频能不能发出来。 大家平时做视频最烦哪个环节呢？我自己的感受是，在剪辑软件里给几十个散碎片段对音频字幕轴，简直是对耐心的折磨hh。

🚀 以前每次新 App Launch，光是剪宣传视频就要花掉一两天时间。这次给 2Camera 做宣传视频，我试了下 Pexo 这款可以直接聊天做视频的 AI 创作工具。 🎬 想展示哪些功能、画面是什么风格，都可以直接跟它说，从脚本、分镜到成片一路聊着调整，不用先研究模型、琢磨提示词，也不用自己搭工作流。画面哪里不满意，还可以用 Mark to Fix 圈出来，在批注里写上修改要求，没什么剪辑经验也能上手。 😎 做出来的效果挺满意的，可以直接拿去放 App Store 产品页了。对于 App 做完还得自己张罗宣传的 Viber 来说，真是懒人福音！

Using the real UI as the source and letting AI handle the motion feels like the right balance. The visuals can be polished without letting the model invent buttons, copy or product features that don't exist.

Explaining abstract technical concepts like vector memory layers, context management, and unstructured data retrieval is notoriously difficult with static copy alone, when potential users actually see scattered notes, browser tabs, and documents visibly snap together into a unified intelligence layer, the core value clicks immediately. Using conversational video agents to turn deep technical architecture into an intuitive narrative is a huge advantage for developer marketing

Starting with a rough layout animation is incredibly smart. Most people rely entirely on text prompts, leaving too much up to the imagination. By feeding the AI an initial structure for camera paths and object movements, you establish the basic physics first.

The actual bottleneck for most developers is capturing attention. In incredibly fast moving sectors like decentralized AI networks and Web3 protocols, user attention spans are practically zero. If an indie hacker cannot communicate their core value visually within a thirty to sixty second window, potential users will simply keep scrolling, a sharp and professional launch video does the heavy lifting of translating a complex interface into a compelling story

Hey @supermemory , we made this for you. Your website was the only input. Pexo picked up your brand style and turned what you’re building into a visual story.Scattered context, brought together by a memory layer for AI. Does this feel like Supermemory to you? #MadeWithPexo

Guiding vertical video production through natural conversation saves an immense amount of manual editing time. For vertical formats, matching camera movement to the rhythm of an urban lifestyle is notoriously tricky because every second counts on a mobile screen. Traditional workflows force you to tweak keyframes and retime cuts repeatedly just to make the pacing feel natural alongside the music.

Stepping away from single shot prompting finally gives creators genuine control over their artistic direction Vertical commercial videos for hardware require tight synchronization between audio beats and visual transitions to successfully hold the attention of mobile viewers, when you rely on traditional editing software, matching every single frame to a music track becomes an incredibly tedious process

Providing a structured prompt with exact time constraints is the smartest way to control AI video generation, most creators just type a vague idea and hope for the best which usually leads to chaotic pacing and unpredictable visuals, by forcing the model to map out a storyboard first and explicitly banning fake product interfaces you maintain complete creative authority over the output Using visual feedback to lock in that specific amber glow proves how much time this workflow saves compared to tweaking manual animation layers

Swapping Persona Chat into this template would look incredible, using a deep blue accent color during the final text reveal would perfectly fit the AI workspace aesthetic, defining strict second by second boundaries is exactly how you stop video generators from hallucinating random visual transitions

Directing the scene through conversation lets you treat visual tone, music synchronization, and background mood as an ongoing dialogue rather than a technical chore

Being able to adjust all those specific layers through natural conversation allows you to produce premium commercial aesthetics without spending hours manually dragging clips around a timeline