
Find Cheap Domain — Compare Domain Registration Prices
比较多个域名注册商的注册价格,找到最便宜的选项。
@Mrkking07 · X
Try now this is domain costs and renewal costs comparison webapp Support prices - GoDaddy - Hostinger - Cloudflare - Namecheap - Others 👉 Try here:
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比较多个域名注册商的注册价格,找到最便宜的选项。
@Mrkking07 · X
Try now this is domain costs and renewal costs comparison webapp Support prices - GoDaddy - Hostinger - Cloudflare - Namecheap - Others 👉 Try here:

对比各域名注册商价格,生成 AI 域名建议。
@Sneslix · X

从单一面板管理多个注册商的DNS、SSL、续费和域名所有权。
@itstarun1994 · X

管理学术机构中的教师数据、职级、晋升和教学工作量。
@FalhdirA · X
Check out what I just built with Lovable!

通过DSA模式练习和ChatGPT指导追踪校招准备进度。
@8876sahil · X
If you tired of random DSA videos and unstructured placement prep. You can try trackMe a free placement tracker. Practice DSA pattern-wise, prepare topic-wise, and learn with ChatGPT. Feedback welcome. Share if useful

通过GPS地理围栏、数字售票和反欺诈功能验证大学出勤
@TechPriest_001 · X

用 Onbookr 管理预约、同步日历、自动发送提醒。
@helloukey · X

为应用和网站快速生成合规的隐私政策和服务条款。
@zihengli163713 · X
所以我做了一个网站,直接一键生成,根据你的网站。 选择对应的东西,就会帮你来一键生成,自动适配各种法律。 目前我已经跑通,上线了三个APP。

帮助企业进行员工入职并组织企业知识库。
@alexander_roese · X
1. Building a platform to help companies capture and preserve critical employee knowledge before it leaves the business. 2. For SMEs that want to reduce knowledge loss, improve onboarding, and make internal expertise easier to access. 3.

Free professional domain tools: a name generator fused with Google Trends, bulk availability across 140+ TLDs, transparent domain valuation, WHOIS lookup, trending keywords and pre
@Domain_Portal · 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

Repolog 扫描网站的 SEO、性能、安全和 AI 就绪情况。
petersas · HN
We gave our website-audit tool an MCP server so agents can fix issues