开发者工具1 month ago
Telemetry — Observability for AI and LLM apps
监控 AI 和 LLM 应用程序的模型调用、代币追踪、成本分析和延迟指标。
ephraimduncan · HN
Observability for Coding Agents and LLM Applications
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监控 AI 和 LLM 应用程序的模型调用、代币追踪、成本分析和延迟指标。
ephraimduncan · HN
Observability for Coding Agents and LLM Applications
Accurate MRR, churn and LTV for SaaS, built from your Stripe, Paddle, Creem or Asaas billing data. Then ask Kometrics AI anything about your revenue and get an answer with the repo
@camposped · X
Subscription metrics for the AI era:
支持MCP客户端集成的AI原生网站分析工具，Google Analytics替代品。
@cdd56656 · X
which helps you know your website user traffic inside your agent
品牌短链接生成器，提供详细分析和重定向管理
@elixpo_ · X
Just completed building a distributed edge driven URL Shortener and QR generator -- Also open source at:-
与客户分享 PDF，追踪打开时间
@emironic · X
- free plugin for Claude and Codex to put your work as public website with single line `publish to Revdoku` prompt.
在OpenVibeEval中对比不同AI模型生成前端代码和可访问性评分。
u/12qwww · Reddit
I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •
分析 GitHub 仓库发现付费工作与贡献机会。
@bashops_dev · X
Building BashOps Radar—repository intelligence for developers. Helping developers identify contribution opportunities that can lead to contracts, paid sprints, and long-term work.
Add your product, choose what the attention is worth, and take the rank your bid buys.
@Xx_7uop · X
PRcade 通过团队排行榜和分析可视化GitHub代码审查性能
u/SnooStrawberries827 · Reddit
my team had 47 open PRs and nobody was reviewing them, so I gamified it our team hit 47 open PRs at one point last month and nobody was reviewing them. tried slack reminders, deadlines, rotating reviewers, none of it really stuck. might be related to the fact that everyone's hyped about how fast AI can write code now, copilot cranking out entire features in hours, but none of that matters if the PR just sits there for a week. feels like writing code stopped being the bottleneck a while back
在YouTube视频旁记笔记，帮助创作者分析内容效果和创作方向。
u/Wolf-soul-site · Reddit
I cut the one feature every user asks for, because shipping it would've meant lying to them. I'm building Margin( https://margin.bhairav.ai ), a tool that helps YouTube creators decide what to make next. The #1 request is a number: "this idea will get ~40K views." Every competitor shows one. Users ask for it constantly. I won't build it. Nobody can predict a video's views from an idea. Thumbnail, timing, the algorithm, luck, none of it exists yet when you're validating. Any number I sho
自动对客户反馈进行评分、标记和去重分析。
@ImFabien · X
- feedback management and suggestion box with built-in churn insights for SaaS teams.
Master JEE Mains, JEE Advanced, NEET UG and competitive exams with AI-driven chapter-wise question practice, syllabus trend analysis, and step-by-step solutions on RankBit.
@SujalXudy · X
Hey! 👋 Full Stack Dev & Solo Founder building RankBit (a free NTA CBT platform). 💻 Focus: Web Dev, Full Stack, Startups & LeetCode 🚀 Always happy to connect with fellow builders! My website link --