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@sreebuildss · X
完整作品展
技术栈
60 projects

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@sreebuildss · X

SubLedger 是隐私优先的订阅追踪器,可管理共享套餐和多设备支付。
@MySubLedger · X
SubLedger is a privacy-first subscription tracker built for the way subscriptions actually work — shared family plans, employer reimbursements, and multiple devices.

为您的自由职业业务管理客户、发票、时间跟踪和费用。
@ShayPunter · X
- Less back office. More of the work you love.

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@ajkbossp · X
Check out what I just built with Lovable!

使用模板、电子签名和分析功能创建商业提案
@propelio_app · X
Hey man, Building Propelio, proposals for freelancers Let’s connect!

每周与Edgar对话,生成个性化的LinkedIn帖子。
@edgarwritesai · X
Your personal linkedin ghostwriter

浏览器中的免费 PDF 工具:合并、拆分、压缩、转换、签署和保护。
@buildappfactory · X
Our three products

为升降设备完成、签署并发送LOLER和PUWER检查报告。
@rj120781 · X
Check out what I just built with Lovable!

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

支持100多种语言的音频和视频转录,使用AI定制简历,查找远程工作机会。
@OauthNature · X
Ai cv tailoring job board

AI驱动虚拟数据室,帮助交易团队将散乱文档转化为引导性体验。
@Puneeeeeeet · X
We help brands go viral on X with organic video campaigns that people actually want to watch. wanna try for

自动监控 Codex 额度重置,通过 Telegram 推送及时提醒。
zemul · V2EX
每次 Codex 额度刷新全靠社区消息,反应慢一步直接错过 所以我搭了个自动化服务: - 抓取 OpenAI 员工的公开推文 - 新推文丢给 LLM 做语义判断:是不是在说额度重置 / 限额恢复 - Telegram 推送 地址: https://divin.cc/