开发者工具1 month ago
Axon — the quality & FinOps layer for your AI agents
用 LLM 评估 AI agent 对话质量，提供评分卡和成本分析。
@tech_maju · X
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用 LLM 评估 AI agent 对话质量，提供评分卡和成本分析。
@tech_maju · X
CoBro 用 AI 扫描竞争对手和市场数据，90 秒内判断初创企业创意是否值得构建。
@Ebrahim_Rio · X
Most founders skip validation and pray. I automated the "worth building?" check. AI scans competitors, Reddit, and market data → Cook or Kill in 90 seconds. Killed? It surfaces the pivot the data actually backs.
StockAI是AI驱动的股票预测和信号工具，支持回测和模拟交易。
@useStockAI · X
AI股票研究和投资组合分析工具，支持韩美股票分析、日报和行情筛选。
leopard627 · GitHub
fire-your-seo-agency Fire your SEO·GEO agency 🔥 A Claude Code skill that audits and optimizes SEO·AEO·GEO·LLMO·NEO(Naver) by itself — 월 50~350만 원짜리 'AI 검색 최적화' 대행, AI 에이전트가 대체합니다
用AI分析IDX股票的终端工具,支持经纪商分析、外资流向追踪和技术信号。
@eglant_stock · X
Ini yang kadang pasar belum hargai sepenuhnya. Riset mendalam soal human capital di balik adopsi teknologi bisa dilihat di Bagi yang mau diskusi lebih lanjut soal tren ini, bisa join komunitas kami di Bagi yang mau diskusi lebih lanjut soal tren ini, bisa join komunitas kami di Bagi yang mau diskusi lebih lanjut soal tren ini, bisa join komunitas kami di Bagi yang mau diskusi lebih lanjut soal tren ini, bisa join komunitas kami di
分析 AI 提示词，识别问题并返回改进版本。
u/pulptaken · Reddit
I built a website to audit AI prompts I'm giving away a limited number of early access invites for anyone who wants to try Marzel. You'll also be able to try the product once directly from the landing page, without joining the early access. This initial phase is focused on validating the core features and collecting feedback. After that, Marzel will also include a browser extension and a desktop app for auditing Claude Code and Codex CLI sessions, which is the project's main goal. If yo
用AI驱动的审计工具分析系统,包含多个版本。
@jozef_x1 · X
🚨 I Vibe Coded F0ur (4) different versions of @coreyganim's "Ai Audit" Funnel, which is your favourite? VERSION #3:
使用客户痛点、竞争信号和市场数据发现并验证AI产品机会。
vinitk80555 · HN
AI Product Opportunity
Evidence-backed intelligence on 170+ AI companies — funding, valuation, revenue, pricing, enterprise adoption, and risk, with every figure traced to a dated source. Built for analy
@AbhishekYatwf · X
从上市公司财报电话会议生成AI摘要和分析。
@thatmarkzhong · X
查看和对比主流AI模型的公众意见和基准评分。
u/TasteMysterious5285 · Reddit
I built AI Census, a live field bulletin for how people are actually talking about AI models I’ve been building AI Census, a public “field bulletin” for how people are talking about current AI models. I kept running into the same problem: benchmark tables tell me how a model performs on a test, but not whether people are actually finding it useful, frustrating, reliable, etc. So I built a rolling view from public technical conversations across Reddit, Hacker News, Bluesky, GitHub, and Huggi
AppTruth AI — 通过AI验证发现应用中的隐藏漏洞
@uriel_bitton · X
As you add more features to your vibe coded app, you increase the chances for bad behaviour. The worst part is you dont know they exist Every beta user i've had try out the app told me they found a few issues they had no idea existed Find yours using