开发者工具4 days ago
Reader | Web Context API for AI Agents
Reader gives AI agents reliable web context by turning URLs into clean Markdown, structured JSON, crawl results, and browser sessions.
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@nihal_was_here · X
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6 projects
Reader gives AI agents reliable web context by turning URLs into clean Markdown, structured JSON, crawl results, and browser sessions.
@nihal_was_here · X
从网页提取干净的 Markdown、JSON 或文本，为 AI 应用和 RAG 管道优化。
Sparkfetch · GitHub
sparkfetch 🔥 Turn any URL into clean, structured, LLM-ready content. The open-source web fetching & extraction API.
Write a notebook of markdown pages and share it with a single link. Password lock, expiry dates, comments and PDF export. Free, and no account needed.
@VarshithVhegde1 · X
Send transactional and broadcast email from one modern API — 8 SDKs, Markdown sends, tags, tracking, and webhooks. As low as 8¢ per 1,000.
@anyposthq · X
helps users send better transactional emails while also lowering costs! 🤓
用 API 或 MCP 工具将 Markdown 转换为 PDF，为 AI 代理优化。
@Peterhallanderr · X
I've been building a PDF API for AI agents. The idea is stupidly simple: Markdown in. Finished document out. No template editor. No template IDs. No dashboard. One API call or one MCP tool call. Just launched the beta → #buildinpublic #saas
Open-source, OpenFeature-native feature flags you self-host in five minutes. No server, no database, no bill, and multiple languages work on day one through their own OpenFeature p
@Flaghoistdev · X
Open source solution for rolling feature flags