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1:14
x.com
NewsPicks [ニューズピックス]
💣週刊ジョーホー番組【AIで何が起きている?】「SaaSの死」を招いた2つの原因 この動画の本編へ▶️https://t.co/8qa64olYcz
NewsPicks [ニューズピックス] (@NewsPicks). 💣週刊ジョーホー番組【AIで何が起きている?】「SaaSの死」を招いた2つの原因 この動画の本編へ ️https://t.co/8qa64olYcz
2.8K views
1 week ago
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Cloud Computing Explained for Beginners ☁️ | IaaS, PaaS & SaaS Explained Easily 🚀
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Top videos
0:30
HE TURNED A $9,000 UI HANDOFF INTO A 3D SAAS INTERFACE IN 30 MINUTESthis guy didn’t build another flat dashboard, he built a living 3d workspace with Claude Code reading the structure, logic and components instead of guessing from screenshotsMoonchild makes the design system first: tokens, spacing, cards, charts, navigation, typography, then Claude turns it into a working React app through MCP2 tools, 1 design system, 8+ screens and a second Claude checking drift while most founders still pay ag
x.com
Gipp 🦅
11K views
2 weeks ago
1:56
$30 in API tokens vs $30,000 in dev team — same SaaS, different decade. Kimi K2.6 + five open-source repos on GitHub.most builders ask Kimi to write the whole app from scratch. that's the slowest path.the assembly stack everyone misses:/ nextjs/saas-starter — SaaS architecture + auth + dashboard / launch-mvp-stripe-nextjs-supabase — Stripe + Supabase + Resend boilerplate / Snouzy/workout-cool — 7,700-star exercise DB + workout plans / greengem/fit-forge — 800+ exercises + progress charts / VrajV
x.com
dunik
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0:20
pendant 50 ans le logiciel a été du capital, cher à produire donc on bâtissait des outils durables généraux et partagés qu'on amortissait sur des millions d'utilisateurs, c'est tout le modèle du SaaS, louer l'accès à ce qui coûtait une fortune à construirele jour où sortir un programme qui marche coûte une phrase que l’on prononce, le logiciel cesse d'être du capital et devient du langage, parlé, personnel, jetable & fabriqué pour un seul usage puis abandonné comme une phrase une fois ditela rar
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HE TURNED A $9,000 UI HANDOFF INTO A 3D SAAS INTERFACE IN 30 MINUTESthis guy didn’t build another flat dashboard, he built a living 3d workspace with Claude Code reading the structure, logic and components instead of guessing from screenshotsMoonchild makes the design system first: tokens, spacing, cards, charts, navigation, typography, then Claude turns it into a working React app through MCP2 tools, 1 design system, 8+ screens and a second Claude checking drift while most founders still pay ag
11K views
2 weeks ago
x.com
Gipp 🦅
1:56
$30 in API tokens vs $30,000 in dev team — same SaaS, different decade. Kimi K2.6 + five open-source repos on GitHub.most builders ask Kimi to write the whole app from scratch. that's the slowest path.the assembly stack everyone misses:/ nextjs/saas-starter — SaaS architecture + auth + dashboard / launch-mvp-stripe-nextjs-supabase — Stripe + Supabase + Resend boilerplate / Snouzy/workout-cool — 7,700-star exercise DB + workout plans / greengem/fit-forge — 800+ exercises + progress charts / VrajV
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x.com
dunik
0:20
pendant 50 ans le logiciel a été du capital, cher à produire donc on bâtissait des outils durables généraux et partagés qu'on amortissait sur des millions d'utilisateurs, c'est tout le modèle du SaaS, louer l'accès à ce qui coûtait une fortune à construirele jour où sortir un programme qui marche coûte une phrase que l’on prononce, le logiciel cesse d'être du capital et devient du langage, parlé, personnel, jetable & fabriqué pour un seul usage puis abandonné comme une phrase une fois ditela rar
45.7M views
2 weeks ago
x.com
Mehdi (e/λ)
1:16
Wave of the future. Private. Secure. Either you own your intelligence or it owns you.It's not innovative/next-gen to slap vertically integrated models into existing SaaS spy stacks. It's the surveillance economy model squared.We've got to smash it with this generation.
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3 days ago
x.com
Daniel Jeffries
0:45
“Taiwan won’t matter in 18 months” is what happens when software people mistake civilization for a SaaS product. It's one of the most clueless takes I've heard on this platform in months and that's saying something.Yes, America has semiconductor fabs. Mostly old ones. Really old.Taiwan has the fabs that matter:The ones that make every single chip for NVIDIA and Apple and every damn Android and iPhone on Earth and even most of the 1500 or so chips that go in your truck or car.Without TSMC these c
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x.com
Daniel Jeffries
1:00
Naturally, it's an Indian who decides to ensloppify gaming by turning it into SaaS.It's not often discussed that SaaS, payment plans for Chipotle, renting clothes, all this "IT'S MY MONEY AND I WANT IT NOW" nonsense is a byproduct of the browning of America. Your average Mexican, Filipino, Indian, Thai etc. is a debt slave on the level that makes your average Kool-Aid pineapple enjoyer look like Dave Ramsey.Ever wonder how and why the turd world adopted smartphones? They came to them relatively
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x.com
Matt Forney
1:18
bizim sektörde olsa 2 günde bunun tool’unu çıkarırlardı, SaaS'a çevirirlerdi, 20 dolardan abonelik satarlardı. işsiz kalırdık..
2.7M views
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x.com
Vibe Engineer
1:41
『Claude Code』の中で7人体制の株式会社を構築24時間365日常働のAIエージェントを持てるセットアップもめっちゃ簡単👇 AIがReddit + Xをスキャンしてユーザーの需要を探す → 今日の10件の購買シグナル Saraがそれらのシグナルをコールドメールに変換 → 311件の適格見込み客 → 今日の10/10メール送信完了 Juneが彼の声調でウェブサイトコンテンツを書く → 5本の記事がキュー待ち Bobが午前3時にシステム全体をバックアップ → 9つのリポジトリが最新 Spikeが問題になる前に何が壊れるかを監視 GaryがGoHighLevelにログインしてキャンペーンを実行 Clioがイベントの数ヶ月前にイベント運用を処理 皆んな気づいていない部分なんだけどお金になるのは「AIエージェントを持つこと」じゃないぞ稼いでいくにはこれを代理店、コーチ、地元ビジネス、不動産チーム、SaaS創業者、人件費を
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x.com
ガガロット
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Self-driving cars are fun because you never see competing SaaS products having a literal standoff in the street
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x.com
Olivia Moore
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The Hermes Agent Accelerated Business Hackathon presented by @NVIDIAAI × @stripe × @NousResearch starts now, for builders making agents that can earn, spend, and run real operations at any scale.Our NVIDIA integrations let your team run agents safely through NemoClaw, quickly on Nemotron 3 Ultra, and intelligently with access to their extensive agent skills. The new Stripe Skills for Hermes let your agent buy what it needs, provision its own SaaS, and pay for the services it uses.We want to see
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x.com
Nous Research
0:28
Saas aur bahu ki rozana ki “catch catch” aisi hoti hai jaise remote par qabza karne ki jung ho 😂📺Ek kehti hai: “yeh ghar mera hai!”Doosri kehti hai: “nahi, main is ki heroine hoon!” 😄🔥
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Anwar saeed
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今天看完全球知名量化交易公司的Jane Stree的机房实拍视频,真实感受到下一个阶段,AI刚需的板块轮动,大概率将是电力和液冷!🧐虽然最近英伟达那张VR200与GB300的对比图,大家炒作的火热,存储,MLCC,PCB等。其实都涨过一轮,而且幅度不小,估值也不便宜。而液冷和电力,作为数据中心最重要的环节,不允许出任何一点故障,不然780万美金的VR200,原地报废,谁也承担不起这个成本,所以他们的重要性和不可替代性,也将会更高。重点是,这些公司目前还不算太贵,安全垫足够高!视频中,那些整齐排布的GB300机柜,峰值功耗140千瓦,风冷根本压不住。而下一代Vera Rubin Ultra直接干到600千瓦/机架,相当于500个美国家庭的用电,全塞进一个7英尺高的铁柜子里。这种跨越式升级,基本属于物理极限了。 现在整个华尔街量化机构、硅谷大厂,都在疯狂扩建AI数据中心。微软Q1财报会上,纳德拉说单季度新增了1GW容量,两年内要翻倍。谷歌、Meta的2026年Capex加起来超过7000亿美金。而这钱里,三分之一不是买GPU,而是买变压器、母线槽、液冷系统、备用发电机等。更有意思的是液冷
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x.com
Rocky
2:41
刷到很喜欢的博主今天更新了AI营销的新产品,体验了一下 @OllieOwl_AI ,分享下感受。这个产品出海切口选得绝对好。两个原因:1️⃣ 海外平台基础设施更好——API 开放,生态成熟2️⃣ 海外内容消费市场还在早期,没被镰刀割透去年我们也做了类似方向(国内营销获客),踩了几个坑分享下:1/ 自动化的元问题AI 内容质量 = 原始语料积累 × 正确的创作模板。缺一不可。系统里必须有个知识库模块给 AI 喂上下文,或者开放接入接口让用户自己灌语料。没有这个,生成的东西就是空中楼阁。2/ 续费理由问题做着做着会发现,很多功能被基模能力 cover 掉了。GPT 自己就能写,为什么要续费?真正暂时没法被 cover 掉的是行业 knowhow。用户的买单理由不是"方便",而是"确定性"——"我看到我行业里的最佳实践了"。顺着这个逻辑,我们把产品收缩成了服务汽车 4S 店的内容 SaaS。原因很简单:我们有奇瑞总部的最佳实践,这就是壁垒。3/ 排期功能是绝对亮点AI 解决一次性生产力不难,难的是持续自动化——让生产关系发生变化。能每天自动排期、自动发布、根据反馈自动调整,这才是 AI 从工
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x.com
HuangMing
0:19
【衝撃】@cyrilXBT が「Obsidian + Claude」だけで月$500(約7.5万円)のSaaS群を全部解約したらしい😱https://t.co/5QV2yfMtoY寝てる間にも勝手に動く構成で、しかも1つのVault(Obsidianのデータ庫)内で完結。・プロジェクト管理・リサーチと知識ベース・記憶レイヤー・自動化ワークフロー動画ではこの統合スタックをどう組んでるかが解説されてた。ツールを5個契約してた人ほど一回見てほしい。“5本契約をVault1つに畳む”組み立て方を記事にまとめた。この下の記事を読むと理解が一気に深まる。マジでおすすめ👇
19.6K views
3 weeks ago
x.com
りゅう@Obsidianガチ勢
2:06
THIS GUY BUILT A 7-PERSON COMPANY INSIDE CLAUDE CODENot employees.Not VAs.AI agents working 24/7 from one dashboard.The setup:Tara scans Reddit + Twitter for ICP pain signals → 10 buying signals todaySara turns those signals into cold emails → 311 prospects eligible → 10/10 emails sent todayJune writes website content in his voice→ 5 articles queuedBob backs up the whole system at 3 AM → 9 repos currentSpike watches what breaks before it becomes a problemGary logs into GoHighLevel and runs campa
5.9K views
4 weeks ago
x.com
0xTria
1:18
A 15 YEAR OLD JOEY HUANG WIRED 757 AGENTS AND 2,947 TOOLS INTO ONE LAPTOP AND PULLED $186,000 LAST MONTH WITH 0 HIRESjoey is 15, lives in palo alto, takes the bus home from school every day and runs an AI company of 757 agents from a macbook on his kitchen counterhe doesn't write code, doesn't manage a team, doesn't have a co-founder, he opens his laptop after dinner and watches the graph rebalance itself in real timethe agents handle 11 active products, 4 shopify stores, 2 saas tools and a cont
5.3K views
2 weeks ago
x.com
Antid
0:24
『1人社長』が、Claude Codeだけで『1日』で会社全体の司令塔を作成し【AI社員】が高速で動く組織を構築。NotionでもObsidianでもない。社員、AIエージェント、SOP、ツール、部署、権限。会社の情報すべてが、ノードとして1つの画面でつながる。部署をクリックすれば、担当者、業務手順、使えるツール、アクセス可能な情報まで一気に見える。しかも重要なのは権限管理まで組み込まれていること。社員がチャットを開くと、AIはその人が何を見てよくて、何を触っていいのかを最初から理解している。つまり、社内WikiではなくAIが動かせる会社の脳 を作っている。開発チームなし。資金調達なし。7日間、1人、1つのターミナル。エンタープライズSaaSを作る道具は、もう個人のPCに入ってる。あとは、ターミナルを開く人だけ。
2.7K views
1 week ago
x.com
ガガロットAI
0:01
Clients love to spend $800 for this kind of SaaS Landing Page to reach $10K MRR fast 🔥
451 views
5 days ago
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Rohan
0:05
Who can make it in figma
456 views
6 days ago
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