与「SaaS」相关的搜索结果

爽了，AI 视频最烦的反复抽卡问题，终于被解决了！！！ 给 Fotor Agent 丢一段需求或原始素材，它直接从脚本做到可编辑的多轨成片，质量和稳定性完全是商用级！ 以前做 AI 做视频，最恶心的就是生成完以后没法改😓，数字、Logo、画面出一点问题都要重新抽卡，但它就只需要改一小段。 文字、图片、图表、数字、Logo、旁白、B-roll、滤镜、转场和音乐全部分轨： 1、画布上直接改：参数能直接选中修改，Logo 等都可以替换，连颜色和图表都能随时改。 2、时间线随便调：调整层级、拉音量、换转场，全都可以自己调。 3、支持 30+文件、10GB 素材：手机拍的素材丢进去后，他能自己抓精彩镜头、去口头语、配字幕和 B-roll。 我拿它测试了一下做一个新品上线视频。把产品图和卖点文档丢进去，它会先整理脚本和分镜，确认之后再继续生成画面、旁白、字幕，最后全部放进时间线里。这种工作流对需要频繁改稿的人真的方便很多。 而且它做 4K MG 堪称降维打击： 以前做一条 MG 动效，需要在 AE 里一帧帧抠，3-5 天起步，花几千块，改个数字、布局还得再等老久。 现在把 PDF、Excel、报告这些资料扔进去，一会就能出一版 AE 级 4K 动效，里面的数字和图表还能接着改。 我算了一下，每秒才几毛钱，30 秒的 4K 成片十几块，2 分钟也就几十块。时间从几天压到几十分钟，钱从几千压到几十，这差距太离谱了！！！ 它能落地的场景实在太多了： 1、电商上新：商品图和卖点扔进去，自动生成多尺寸广告，价格随时改。 2、SaaS 演示：录屏和功能介绍一键做成 Product Hunt 上线视频。 3、知识科普：论文、文章直接转 4K 动态信息图，做爆款科普解说。 4、数据汇报：把 Excel、CSV 做成动态增长大屏和财报解读。 5、课程培训：讲义文档直接变成整套多轨教学视频。 做产品、做电商、做自媒体或者出海的朋友，强烈建议去试一下！ 🔗：

为了不给 Adobe 付一个月 20 刀的订阅费… 国外有个老哥干了一件极其抽象的事： 他直接烧了 2000 美元的 AI Token，硬生生用 Vibe Coding 手搓了一个本地版 Photoshop 出来。 没错，花了能开 8 年 PS 会员的钱，就为了退订 Adobe 😅 但看完产品我跪了： 不仅 Win/Mac/Linux 全平台离线跑 图层、曲线、蒙版、液化全齐 甚至还把最恶心的「原生读写 .PSD」给啃下来了。 现在这玩意儿完全免费开源，直接冲上了 Reddit 几个技术大榜第一。 有人笑他算不清账：花 2000 刀省 20 刀？ 但我只看到了极其恐怖的一点： 以前需要几十人工程团队开发两三年的专业级桌面软件 现在一个人 + 2000 刀算力，就能直接把核心护城河给掀了。 传统 SaaS 靠堆砌基础功能收租的时代，真的要到头了。 如果是你，你愿意花 2000 刀买“代码自由”，还是老老实实给大厂交租？👇

1/ levelsio今年的业务收入加投资收益已经超过1000万美元。 这些年他一直在提高利润率。今年又用vibe coding自建工具，替代了大部分SaaS服务，只保留少数几家。 目前利润率约为94.5%。👇

💰 Passed $10M/y in revenue + investment gains this year I've always been aggressively increasing my profit margins to as high as possible, especially the last few years, and especially this year where I've reduced my SaaS dependencies to just a handful of companies by vibecoding my own replacements It's now about 94.5% profit! Spend less -> lower costs -> more profit -> more money saved -> more money to invest -> more % returns on investments And at some point that investment return starts to pass by your business revenue which it has for me for about a year now Most of my investments have been simple ETFs like Vanguard S&P500, but also a few lucky stock and startup bets that worked out: Back in 2022, I couldn't get any available GPUs, so I thought it might be smart to buy Nvidia if there's such a shortage and that was a good bet too Then back in 2023 @dannypostma recommended me to invest in the companies we used for our AI inference for our photo AI apps, so I did that too. First I invested in @replicate and then also @FAL From then I just asked every app/service I used if I could invest, like @cursor_ai in 2025 which then got acquired by @spacex recently! My business revenue has remained very stable at about $200K-$250K/mo, but even with that investment returns have now surpassed that Investments fluctuate a lot so some years it's up some years it might be down a lot (who isn't expecting a big crash at some point?), and most investment gains are unrealized (I never sell!), so keep that with a big grain of salt! I keep my revenue/gains together with my profit margin and my sleep score in my situation monitor dashboard, as those are equally important :D Many people in the last decade told me to spend all my money, either personally or with my business to grow it, we don't know how that would have ended up, maybe my companies would be bigger, but I'm happy I did it in my own lean profitable healthy way and it ended up great I think! 🙏😊

Gavin Baker: "The Magnificent 7 will go from $10-12 trillion to $50-100 trillion. But one or two of them will go extinct." His foundation-model survival list is short: - Google — search-plus-Gemini flywheel - Meta — Llama + ad-revenue self-funding - xAI — X + Tesla data footprint Anthropic, OpenAI, everyone else — Baker treats them as commoditized. His FOMO warning: "Application SaaS is done. If you went all-in on crypto and SaaS in 2021, don't repeat the trade." On AGI: "Elon says 3 years. I say 5 is safer." On regulation: "The leading labs weaponized fear of China. There's going to be no regulation." The math he keeps quoting: $12T → $100T is 8x. But 1-2 die means winners take 30-40% of the total, not 14%. Baker's frame: no regulation + AGI in 5 years + Mag 7 8x = biggest enterprise-value transfer in market history is happening right now.

彻底结束了职场生涯，拿了一份大礼包 谈不上太焦虑，或许还有些许期待 命运总是这么神奇，时代洪流裹挟着我们每个人往前走 还记得10年前大数据hadoop刚流行，我从硬件转行做软件时的那种兴奋，那种不知疲倦的干劲 转眼间，那已经是远古时代的技术了 站在当前这个时间节点，无疑，All in AI 是最明智的选择 去年下半年，我开始尝试国内自媒体，做过B站、抖音、小红书，也折腾过AI视频 今年上半年，我又转向SaaS出海，报了哥飞 @gefei55 的课，也加入了生财，一边做产品，一边寻找新的可能。 利用AI工具，现在做产品很简单，难的是持续获取低成本的流量 所以接下来，我准备认真研究X平台 不仅是为了流量，也希望在这里认识更多厉害、真诚、有趣的人，离这个时代最前沿的产品和想法更近一点 人生，有无限可能，前半场牛马996的生涯已经结束，现在是全新的下半场，也许，会有完全不一样的体验 35+的年纪，转型也刚刚好 毕竟，不可能打一辈子工 况且，以现在AI技术的发展，绝大部分人也没有机会打工一辈子 所以，认准方向，just do it 我是山海，一个刚刚结束职场生涯，准备用AI探索人生新方向的中年老登

ChatGPT Ads now has its own ad intelligence library. Someone built a **ChatGPT Ad Library** that continuously tests ChatGPT with purchase-intent prompts and collects every Sponsored ad it sees. So far: 11,000 advertisers, 43,000 unique creatives, and 410,000 ad appearances across 970 niches. Each ad is also paired with the exact prompt that triggered it. Useful for overseas ads and SaaS teams — check competitor creatives and see which purchase intents are more likely to surface ads. 👉

ChatGPT Ads 也有自己的 广告情报库 了 有用户做了一个 ChatGPT Ad Library ，用带购买意图的 Prompt 持续测试 ChatGPT，把遇到的 Sponsored 广告收集起来。目前已记录 1.1 万个广告主、4.3 万条独立创意和 41 万次广告出现，覆盖 970 个细分领域。 而且它会把每则广告和当时使用的测试 Prompt 对应起来。做出海投放或 SaaS 的，可以拿它看竞品素材，研究哪些购买需求更容易出现广告。 👉

2026必须要知道的推特博主 @simonw = LLM 实战之王 @swyx = AI Engineering 之王 @t3dotgg = Cursor / 开发者工具之王 @tdinh_me = 独立 AI 产品之王 @dannypostma = AI SaaS 变现之王 @emollick = AI 工作应用之王 @chipro = 生产级 AI 系统之王 @hwchase17 = Agent 框架之王 @bcherny = Claude Code 之王 @alexalbert__ = Claude / API 之王 @rauchg = AI 原生 Web 之王 @fchollet = 智能评测之王 @ylecun = 世界模型之王 @DrJimFan = 具身智能之王 @shl = 一人公司之王 还有哪些遗漏的博主，可以在评论区补充一下~

前沿实验室正从依赖风投补扣的烧钱模式转向高毛利的自我造血模式，这一转变的本质是 AI 商业化从“卖 SaaS 软件”跨越到了“卖数字劳动力”——当 10 美元的推理成本能替代价值 50 美元的高薪白领工时，极强的企业付费意愿便彻底推翻了 Hopper 早期负毛利的阴霾；如今伴随 FP4/FP8 量化与 KV Cache 等工程架构的突破，每兆瓦算力被榨出天价商业价值，产生的巨额现金流又被全款砸向 GB300 等下一代硬件集群，形成了靠自我造血实现算力指数扩张的疯狂闭环，而这场“超级印钞机”游戏唯一的软肋，就在于前沿模型能否持续保持对开源追赶者的绝对稀缺与技术跨越。