其他1 day ago
Influenar — plan it once, ship it everywhere
Turn a single brief into a quarter of scheduled posts — drafted against your brand, approved in one thread, and published to every channel you own.
@0xmustaquenadim · X
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Turn a single brief into a quarter of scheduled posts — drafted against your brand, approved in one thread, and published to every channel you own.
@0xmustaquenadim · X
在 TikTok、Instagram、LinkedIn 等平台安排社交媒体，$5/月起。
@troyaunderwood · X
Streamline your WordPress content workflow with AI-powered document processing and bulk publishing. Connect multiple sites, upload documents, and publish instantly.
@AliShazil_ · X
I built Happy to connect :)
Elevenwritt：用AI将想法转化为可直接发布的社交媒体帖子。
@its_mepius · X
使用AI自动化社交媒体监控、内容生成和数据分析任务。
GrokTask — 基于 Grok AI 的智能任务自动化平台，支持定时任务、AI 自动执行、信息收集与分析
使用 Claude Code 工作流从终端发布 AI 生成的计划
@discorev · X
I've been working on - Using gpt-5.6-sol and Fable in Claude Code via CLIProxyAPI. I've found using these two together with Claude Code Workflows is a killer combination
bundle.social 用统一 API 在多个社交媒体平台发布和安排内容。
u/bundlesocial · Reddit
A Fiverr animator ghosted us, so we made this product animation with 3 prompts and one HTML file We originally hired someone on Fiverr to create a product animation for bundle.social , the social media API we’ve been building for the past few years. Then they stopped replying. So instead of waiting, we tried building the first version ourselves. The video attached to this post was created from a self-contained HTML file in roughly 40 minutes, including a tea break. FYI, R
Create, schedule, and publish content across major social platforms from one professional dashboard.
@naveen_a11y · X
One AI social media workspace: on-brand posts, Gold Slots, auto-publishing and closed-loop learning. Free forever, $19/mo to upgrade.
@contentdrifter · X
为应用撰写营销文案、提供日常优化任务和性能评分。
@Edvin_Gothager · X
管理学术会议：提交和审阅论文、处理日程安排和注册。
@harryjwang · X
I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age
