
Continuous SSL & Website Security Monitoring | QuietLS
监控 SSL 证书和网站安全,包含自动续期检测、安全头部监控和 DNS 健康检查。
@di_spivak · X
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监控 SSL 证书和网站安全,包含自动续期检测、安全头部监控和 DNS 健康检查。
@di_spivak · X

Echo – Fable-level results at 1/3 the cost using open-weight models
adam_rida · HN
Echo – Fable-level results at 1/3 the cost using open-weight models

用 OpenRouter 进行私密 AI 聊天,无账户无跟踪,支持自托管。
johnfahey · HN
As someone who doesn't use any of the more "advanced" features on sites like ChatGPT or Claude (agentic mode, memory, image generation, deep research, etc), I found the bloat of these services, both in UX and in performance, to be pretty tedious. There are a million AI chat interfaces out there, but I could never find one that just did simple messaging and history in the most minimal and lightweight way possible. So I made my own. Nully is written in Go and Vanilla HTML/CSS/JS. It literally just sends messages to OpenRouter, receives the result, and stores your messages locally. It's very simple, very clean, and very lightweight (see performance graphs on the site). It has basic chat features, basic model settings, and works with just about any OpenRouter text model. It supports attachments and basic web search via the OpenRouter API. I made Nully mostly for myself, but the cost to open-source it and host it on a cheap VPS is practically nothing, so I figured I'd release it if it c

能记住你对话的AI伴侣应用,持续学习了解你。
@Dusklightapp · X
personal ai companions that remember you and grow

@BratDotAI Your competitors leave signals everywhere, Growlytics finds them and turns them into your next customers. https://t.co/VmEVHkvxKR
@devWalo · X
Your competitors leave signals everywhere, Growlytics finds them and turns them into your next customers.

Slack 内的 AI 代理,自动进行关键词研究、品牌内容创建和技术 SEO 优化。
boringmarketer · GitHub
kimi-first Claude Code skill: Kimi types, Claude thinks & verifies — route implementation work-orders to the Kimi Code CLI (k3). A port of @steipete's codex-first (github.com/steipete/agent-scripts). By @boringmarketer · boringmarketing.com

为语音AI代理提供实时记忆和上下文处理,延迟低至10ms。
@SouravDaaa · X
- End to end personalised memory retrieval in 10ms. Would love some feedback here