
Carlytics - Used Car Data & Pricing Insights
实时二手车市场分析平台,追踪定价、库存和市场趋势。
@greekdubliner · X
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33 projects

实时二手车市场分析平台,追踪定价、库存和市场趋势。
@greekdubliner · X

监控竞争对手定价页面,每周发送价格变动、新套餐和功能转移的邮件。
@sheikhbuilds · X
Zero formal engineering background. Six months ago I couldn't write a line of code. Today is live, built with Claude Code while working full time as a PM at Uber. 🛠️ AI didn't replace the learning, it removed my excuse not to start. 🚀

实时监测竞争对手的价格变化、职位发布、广告、内容策略、评价和技术栈。
sven_de_meyere1 · Product Hunt
Glimpse The competitive intelligence agent

自动监控竞争对手价格和网站变化,获取警报和详细对比。
u/ExcellentSkill5169 · Reddit
I made a tool to monitor your competitor-Try this once I made a tool to track your competitor when something changes on their website .... 1. you can also get to know what part changed like github format and also side by side comparison 2. You can do manual checks, automated check after a specific interval 3. you can also track how many changes have you got with timestamp and snapshots comparison Some features I will implemented if this idea gets validated in the future

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

通过 indextkn API 查询 900+ AI 模型在各大提供商的实时价格。
lellow · HN
Indextkn – live list prices for 900 AI models in one API

Add purchasing power parity (PPP) pricing to any website. Evendeals shows location-based discounts to visitors in 150+ countries, blocks VPN abuse, and recovers up to 30% more reve
@ariflogs · X

每周自动追踪竞争对手的定价、功能和消息变化。
@Caden1Fenn · X
Intel Brief — tracks what your competitors change (pricing, features, positioning) and delivers it to your inbox weekly. Built for indie SaaS founders.

监控 Core Web Vitals,衡量性能下降对收入的影响。
@AuditJet · X

Mindphor - Customer Intelligence & Competitor Watch
@realmannerd · X

审计送餐平台费用,追踪您的真实支付利润。
@myke86d · X
operator first

对比450+个LLM API定价方案,计算实际月度成本,支持缓存和批处理定价。
u/Greywolff06 · Reddit
I built LLMPrice — a free calculator for comparing LLM API costs across 450+ pricing routes I kept running into the same problem when comparing LLM APIs: the headline token price doesn't always tell you what your actual workload will cost. Caching, batch pricing, reasoning tokens, retries, different endpoints, and OpenRouter routes can change the result quite a bit. So I built LLMPrice.com. You enter your workload once — requests, input/output tokens, caching, retries, etc. — and it com