
Creato — AI Content Creation Platform for Creators
AI工具将粗略想法转换为轮播图、社交帖子和缩略图。
@uxfaruk · X
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AI工具将粗略想法转换为轮播图、社交帖子和缩略图。
@uxfaruk · X

跨10+个平台监控品牌提及,支持API和MCP集成。
fmerian · Product Hunt
Octolens Social listening for the agent era

通过滑动式场景测验提升在育儿、沟通、领导力和财务方面的判断力。
@ShashankBhutiy4 · X
Duolingo for Soft Skills and career growth

在 Reddit 和 X 上追踪品牌提及,每日监控和自动回复建议。
@signalmelo01 · X
SignalMelo: social listening & monitoring for growth teams

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