
AI Detector - Reliable AI Checker for ChatGPT,Claude & DeepSeek | AI Detector
Detect whether text was written by AI tools like ChatGPT, Claude, or DeepSeek.
AI Detector — 检查你的文本是否 AI 生成
The full gallery
Tech stack
23 projects

Detect whether text was written by AI tools like ChatGPT, Claude, or DeepSeek.
AI Detector — 检查你的文本是否 AI 生成

Monitor and discover AI API relay services with curated recommendations and exclusive gateway access.
yaojingang · GitHub
TokHub AI API 中转站监控、推荐运营与 OpenAI 兼容专属网关系统,支持分层探测、健康评分、用量计量、告警审计和 Docker 自托管。

Scan websites for accessibility and privacy compliance issues using AI.
@tobio_ojebiyi · X

Two AI reviewers analyze your code independently and verify each other's bug findings.
@BotariaDotBot · X
This Tuesday I'm launching Botbugger on @ProductHunt 🚀 One AI reviewer gives you 10 "critical" bugs — half hallucinated. So I built two: Claude Code + Codex review your code independently, then cross-check each other. Real bugs with fixes, not noise.

See how AI systems interpret, rank, and represent your brand.
@RealSamuelAudu · X

Detects failures in AI agent applications and opens eval-backed pull requests for you to review and merge.
pranny · HN
Selfship.ai – Surface and fix isues with your agentic applications 24x7

Detect AI-generated content in text and documents with per-sentence analysis and exportable reports.
Detector de IA — 西班牙语优先的 AI 文本复核网站,可检查粘贴文本和文档,查看概率信号、句子高亮和可导出报告

Conducts AI-powered interviews with users at critical moments to identify what to fix.
u/bustyLaserCannon · Reddit
Rebuilt my 2 year old SaaS after realised I got it wrong, would love feedback (with a permanent discount!) So I’ve spent weeks rebuilding Uini because I couldn’t shake the uncomfortable feeling that I’d built the wrong thing 2 years ago. It started as a feedback widget that would use AI to aggregate answers into a table. It asked everyone the same question at the same time and hoped the right person was paying attention. I realised that isn’t really how UX research work, it was more just

A dashboard for traders to replay trades, analyze behavior patterns, and optimize their trading system.
@Crypto77qi · X
最近一直在@dappOS_com上体验 @xBubble_ai 的 Coding,这两天我给自己做了一个 AI Trading Replay(AI 交易复盘助手)。 👉 做交易时间越久,我越觉得,真正拉开差距的,并不是找到更多交易机会,而是不断减少重复犯同样的错误。 现在币圈已经有很多成熟的交易工具,行情、链上数据、资金流向、技术指标几乎都能找到对应的平台。但这些工具更多是在告诉我们市场发生了什么,却很少帮助我们分析,为什么面对同样的市场,每个人最终的交易结果却完全不同。 有时候并不是没有机会,而是因为犹豫错过了;有时候方向看对了,却因为害怕提前离场;还有时候连续几次亏损之后,下一笔交易开始变得犹豫,最终又错过真正的行情。 这些问题,并不是增加一个指标或者再多看一份数据就能解决。 所以我没有继续做一个新的行情工具,而是直接用 xBubble Coding 做了一个 AI 交易复盘助手。 它不会预测市场,也不会告诉我什么时候买卖,而是把每天的市场变化、自己的交易记录和决策过程整理下来,通过 AI 自动分析哪些判断是正确的,哪些错误一直在重复发生,并生成每天、每周的交易复盘,让整个交易过程形成一套可以不断优化的闭环。 整个开发过程也比我想象中轻松很多。 没有写代码,没有配置服务器,也没有部署环境,只需要把自己的需求描述清楚,一个可以直接访问的网站很快就搭建完成了。从原来的一个想法,到真正变成可以使用的产品,中间几乎没有任何开发门槛。 我觉得,这也是 xBubble Coding 最有价值的地方。 它并不是让大家重复开发一个市面上已经存在的软件,而是让每个人都能把自己的经验、工作习惯和思考方式快速变成真正属于自己的工具。 未来真正有价值的,或许不是拥有越来越多标准化的软件,而是每个人都能根据自己的需求,打造一个最懂自己的 AI 工作伙伴。

Inspect and debug AI agents to identify step-by-step where they fail.
mathurpriya19 · HN
Kalytera – Find out why your AI agent failed, step-by-step

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