
Burnmaxxing — Who's burning the most money on AI?
连接AI提供商账户并追踪支出。
@J0nasDav1d · X
Celebrate burning tokens
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连接AI提供商账户并追踪支出。
@J0nasDav1d · X
Celebrate burning tokens

AI产业链股票池,支持美股/A股映射及一键部署。
yaoleifly · GitHub
ai-stock-pool AI industry-chain stock pool with US/A-share mapping, active discovery, policy pressure, and one-click deployment.

Run a $9 AI visibility audit across OpenAI, Claude, Gemini, and Grok. See where AI overlooks your brand, who appears instead, and what to fix next.
@kylekane · X

AI 60 秒内生成品牌化提案、发票和专业文档 PDF。
@AadyaAI · X
Aadya AI turns a client conversation into a branded, ready-to-send proposal or invoice PDF in 60 seconds — no templates, no formatting, no chasing.

Kifly让AI代理购物,您审批每笔交易。
roberttk1 · HN
A commerce Network built on UCP for agents to discover and Pay

Ornymo通过语义缓存减少LLM查询成本和延迟。
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]

OpenPrice:对比各渠道 AI 订阅价格,找最优费率。
bytedoger · GitHub
awesome-OpenPrice 一个开源的收录全网卡网渠道各种AI订阅价格的项目。打破信息茧房,一站式获取各个渠道的 Claude、GPT、gemini 、cursor产品的最新价格

BotbaseAI:无需编码快速构建并部署 AI 客服机器人
@BotbaseAi · X
We just shipped 🚀 BotbaseAI — build & deploy an AI customer support agent in minutes. No code. Looking for early testers to break it and tell us what sucks. Try it → 🙏 RTs appreciated #buildinpublic #AI #SaaS

使用 AI 代理自动化初创企业运营:社交、博客、SEO、营收和安全。
u/Background-Bed-8866 · Reddit
I built an AI back office that handles startup operations while I focus on shipping I build an AI back office for founders because I was tired of juggling 15 different SaaS tools for blogging, SEO, docs, analytics, customer support, and launches. Today I finally launched on Product Hunt. Happy to answer anything about the architecture, pricing, or why I chose specialized agents instead of one general assistant. try it out: Astrodesk submitted by /u/Background-Bed-8866 to r