开发者工具2 weeks ago
Kalytera — Find where your agent fails
检查和调试 AI 智能体，逐步识别它们的失败位置。
mathurpriya19 · HN
Kalytera – Find out why your AI agent failed, step-by-step
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检查和调试 AI 智能体，逐步识别它们的失败位置。
mathurpriya19 · HN
Kalytera – Find out why your AI agent failed, step-by-step
AI 驱动的简历生成器，帮你快速创建专业简历。
u/Look386 · Reddit
I built a CV generator in 24h using "Vibe Coding" – People used it already, but I have a small payment bug! Hey r/sideproject **,** I just launched CV AI after a massive "vibe coding" session. I was tired of seeing people struggle with messy Word templates or spending hours on Canva just to get a clean, professional CV. My goal was simple: Generate a polished, no-frills PDF in under 60 seconds. Why I’m sharing this now: I’ve had 9 users test it so far, and the feedback has been i
监控你的 Supabase 日志，查找凭证填充和暴露的密钥等安全问题。
@DefencecorHQ · X
Your app has been live for months. Your last log check was launch day. Defencecore monitors your Supabase activity and surfaces what needs attention—so you don’t have to live in the logs. #vibecoding #ai #supabase
CheckMyHelpCenter - 扫描帮助中心查找冲突、重复项和过期内容。
willt2026 · Product Hunt
CheckMyHelpCenter Find conflicts hiding in your Help Center before AI does
上传图表截图获取AI技术分析，识别支撑位、阻力位、趋势和形态。
@sreebuildss · X
Velrix analyzes websites to reveal exactly where visitors hesitate, lose confidence, and leave—then shows you what to fix to increase conversions.
@VelrixLabs · X
- discover what’s wrong before it gets expensive.
粘贴或上传文本，识别哪些句子由AI生成。
ahmed_javed3 · Product Hunt
AI text Detector AI Detector — See Exactly Which Sentences Are AI
Zuvio Atlas — 通过 AI 根因诊断监控服务器和按需响应。
@iamjackwiz · X
Your personal AI gym coach. Count reps, fix form, track progress.
@emmy_adekeye · X
is your ai gym assistant. Counts your reps, checks your form, and does so much more 🚀
通过评分、护城河分析和竞争对手差距来验证 SaaS 想法的防守性。
@saralsachan · X
SeeBet.ai：查看NFL博彩赔率、盘口变动和十年回测数据的分析工具。
u/sebriz · Reddit
I built an institutional NFL data terminal that audits 44 situational factors against 10 years of market data [Open Beta] Hey everyone, I wanted to share a side project I’ve been building called SeeBet.ai . As someone who loves sports data, I got tired of generic broadcast hype, sports betting "gurus," and subjective narratives about things like "revenge games," travel fatigue, or short rest. I wanted an institutional, zero-hype terminal that simply audits physical reality against market