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企业级单点登录（SSO）和身份认证，这玩意平时收费贵得要死，居然有人开源出了个“核武器级”的替代品。 这就是 GitHub 上爆火的 authentik（项目：goauthentik/authentik）。德国老哥主导的开源项目，目前 13k+ Star，採用 GPL-3.0 协议。简单来说，它就是一个能把你所有应用、服务、网关全都绑在一起的“身份粘合剂”。 🔥 为啥这玩意最近这么猛： 零成本白嫖企业级 SSO：完全免费开源，直接省下 Okta / Auth0 每年几万刀的授权费。 开箱即用支持全协议：OAuth2/OIDC、SAML 2.0、LDAP、Radius，你想到的它都有。 自带超强 Web 界面：不用敲代码，拖拽就能配置复杂的用户流、多因素认证（MFA）和权限控制。 自带 User Portal：部署完直接给团队一个统一的应用导航页，一键登录所有工具。 本地化/自托管极简：Docker Compose 几分钟就能拉起来，数据全在自己手里，隐私直接拉满。 不管是自建 Homelab 的折腾党，还是不想给 SaaS 身份厂商交保护费的创业团队，这波直接白嫖爽了。 🔗 传送门：

底层看稀缺，顶层看客户！看到 @chamath 分享的这张 AI Stack，感觉这个架构划分和 Rewire Index 5 Layer 相当类似，分享一下我对每一层的理解： 1. 能源与基础设施层（最底层） 与 Rewired Index 的逻辑一致。电力会迎来爆发式增长，尤其是无需接入电网的独立供电商（IPP）；而土地受政策影响太大，弹性有限。在大众的舆论压力之下，太空基建应该会是未来几年的新机会，无需土地，无限电力⚡️ 2. 芯片层 做独立芯片，初创公司基本没有机会：性能要求极高、工艺极其复杂，最关键的是供应链已被完全锁死——这是头部玩家的战场。 真正的机会在融合与生态。从 Google TPU 的发展路径，到 Cerebras 等高速推理芯片的崛起，可以看出芯片会与云厂商、模型公司深度绑定。围绕芯片构建数据中心的整体供应与创新，机会很多；单做独立芯片，机会渺茫。 3. 云服务层 云可以分为 Hyperscaler 和 NeoCloud两类。模型商品化之后，几乎所有的负载都要靠云来承载，这会是非常赚钱的生意。但构建极其复杂，堪称 AI 时代的重资产业务——或者说，智能时代的房地产。 4. 模型层 模型公司面临的核心问题是正在被商品化： - 如果 Scaling Law 已到极限，模型百分之百会被商品化； - 即使 Scaling Law 还有很大空间，大家对「最好智能」的需求也在被分解——大量日常应用不需要最顶级的智能，中等水平模型和开源模型会逐渐接管这些需求，反而加速了商品化； - 最尖端的头部模型公司，更像是「先进制程」的芯片：能从中获取很高的价值，但并非所有任务都需要它。 5. 应用层：Harness vs Application 这张图最有趣的地方，是把应用层拆成了 Harness 和 Application 两层。 我的判断是：按目前模型的进化速度，Application 还没有任何机会，但 Harness 的机会已经大量出现，尤其在企业端。企业内化的知识只能通过 Context 和约束来落地，所以 Harness 就是新的企业应用层；它们会替代旧的 SaaS，或倒逼旧 SaaS 升级。 如果把 AI 扩展到大语言模型之外的更广义范畴，应用层更可能以垂直集成的形态出现，例如：自动驾驶 / RoboTaxi / 任何可端到端自动化工业流程和武器系统；生物研究 / Wet Labs；把执行能力直接部署进企业内部的模式（类似 Palantir 的服务方式）

Vercel 官方这次真是把路给走宽了，前端全栈狗直接原地起飞。 以前组一个能直接上生产环境的 Next.js 架构，配置 Auth、支付、数据库、邮件，不花个两三天折腾配置根本下不来。 结果 Vercel 直接开源了 next-forge（目前 GitHub 7.5k+ Stars，MIT 协议）。这玩意儿不是那种玩票性质的 Demo，而是直接按照生产级标准给你搭好的 Turborepo 模板。 这波有点狠，核心配置全给你拉满了： 开箱即用：直接整合 Clerk/Kinde（鉴权）、Stripe（支付）、Resend（邮件） 全栈打通：自带 Prisma/Drizzle ORM + Tailwind CSS，样式和数据库秒搞定 Monorepo 架构：内置 App、文档、营销页三合一，大型项目无缝扩展 自动化爆表：CI/CD、Sentry 报错监控、PostHog 数据分析全部插好接线 白嫖党狂喜：纯开源 MIT 协议，商业化项目拿来即用，不用付一分钱 简单来说，就是把原本需要高级架构师干一整周的脚手架搭建工作，变成了一行指令直接生成。独立开发者和 SaaS 创业团队直接省出一个人的工钱。 🔗 传送门：

Here is my AI investing guide. Sitting here August 2026, my current best thoughts are as follows: 1. LPS (Land Power Shell) is still the most obvious and fastest path to cash on cash returns. Lots of value can be assembled and traded quickly at this layer. And as data centers get more pushback, energized land can explode in value. Very bullish here. I’ve stepped into this layer very aggressively. My partner @anitavlallian and I have acquired almost 6GW coming online in a ramp from today thru 2029 of grid power and behind the meter. 2. Silicon - I helped get @GroqInc off the ground in 2015 and we licensed it to @nvidia for $20B Dec2025. I won’t invest or incubate anything in this layer now. The perf demands of the chips are too high, manufacturing precision is too complex and supply chain influence to get adjacent components like memory isn’t possible for a startup anymore. Lots of capital will be wasted here chasing Groq and Cerebras’ success. Note that both startups made sense a decade ago when these constraints were much more modest. 3. Clouds - Clouds are very very lucrative but very hard to build and very expensive and technically complicated to maintain. And as alignment becomes a more important issue, I expect the clouds will be asked to build robust KYC and attest to it. This makes the risk:reward ratio skewed. I don’t want to be responsible when the USG says a cloud allowed a bad actor to do something bad because of poor KYC. 4. Models are complicated. The big open question is how much of the revenue being generated by them today is because of tokenmaxxing and poor model behavior. If it’s a lot, then the annualized revenues will diminish meaningfully even as token consumption inflects upwards. This is the big economic question at this layer. 5. Harnesses are where the action is and why I started @8090solutions two years ago. In a nutshell, the harness helps enterprises owns their proprietary context (what Alex Karp calls their ‘alpha’). This is an enterprise’s data, workflows, evals, and business rules. A harness that gives this to an enterprise is what creates very low model-agnostic switching costs, which further reinforces my views of #4# above. 6. Applications will be another long term winner along with harnesses. This is where the differentiation between “off the shelf” and “custom time and materials” melts away. Every company, with the right harness, can now imbue their alpha into the software that runs their company. I expect this to mean that “off the shelf” is largely replaced with custom software creating a huge opportunity to write these solutions for companies. Build once and sell repeatedly is a laggard GTM motion for a SaaS world that isn’t needed here. Think custom by design, alpha embedded, proprietary by nature. Fin. Good luck to all the players!

I made $98,417 in July 2026. ⭐️ TrustMRR — $44K 📈 DataFast — $26K 🏴‍☠️ Ship or Die — $13K 🧑‍💻 CodeFast — $6K 🐥 Twitter — $4K ⚡️ ShipFast — $4K 🍜 Indie Page — $785 🛡️ ByeDispute — $132 🦐 SuperShrimp — $187 🧾 Zenvoice — $69 🎞️ YouTube — $102 🌱 HabitsGarden — $104 📚 WorkbookPDF — $38 ✂️ Margins: ~85% All-time high for my SaaS and my startup marketplace. Everything is built, designed, and promoted with my little hands while spending 2 hours a day in the gym, closing the laptop at 6 pm, and sleeping 8 hours. Keep going!

新公司要看开张了，牛人请里边看，base上海 技术负责人（CTO ） 职位名称：技术负责人（AI API 中转站 CTO） 工作性质：全职 预期薪资：35,000–55,000 元/月（税前） 职位职责 • 负责公司核心技术架构设计与落地（多模型路由、统一 API 网关、计费系统、Key 管理、负载均衡） • 制定技术选型和稳定性策略，确保 7×24 高可用和低延迟（国内直联 + 海外多上游） • 带领团队进行快速迭代，主导核心功能开发与重构 • 负责安全、风控（Key 防刷、限流、日志脱敏）和合规（发票/合同意识） • 参与上游渠道谈判与技术对接，优化成本与稳定性 • 技术团队管理与 Code Review，构建可扩展的架构体系 任职要求 • 5+ 年大型项目或中台经验，精通后端架构（微服务、分布式系统、数据库优化） • 熟悉 AI/LLM 相关技术栈（OpenAI、Anthropic、Gemini、DeepSeek 等标准化协议）或有过同类项目经验优先 • 懂计费系统、流量控制、故障演练、监控告警（Prometheus/Grafana） • 熟悉 Redis、Kafka、Kubernetes 或类似高并发基础设施 • 有创业背景或快速成长经历，愿意承担初期所有技术风险与挑战 • 英语阅读能力（海外厂商文档） 优势加分项：有中转站、API 网关、跨境支付或企业 SaaS 经验者优先。 可以发我私信或者邮箱tristania_11@hotmail.com

2021: Maaş artışı yok 2022: Maaş artışı yok 2023: Maaş artışı yok 2024: Maaş artışı yok 2025: Maaş artışı yok 2026: Çalışan: “Lütfen istifamı kabul edin.” Patron: “Ama harika bir iş çıkarıyorsun! Neden ayrılıyorsun?” Çalışan: “%65 maaş artışı sunan yeni bir iş teklifi aldım ve buna ek olarak performansa dayalı garantili yıllık zam da var.” 48 saat sonra…