
AI Visibility Tracker for ChatGPT, Claude, Gemini & Perplexity
Track your brand's visibility across ChatGPT, Claude, Gemini and Perplexity while monitoring competitors.
@RHMDigitalSeo · X
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22 projects

Track your brand's visibility across ChatGPT, Claude, Gemini and Perplexity while monitoring competitors.
@RHMDigitalSeo · X
AI-powered workout log and macro tracker for bulkers with photo recognition and growth audits.
thomaslai414 · Product Hunt
Nulls Tracker - AI Bulking & Macro Log Minimalist AI macro & workout log built for bulkers

Checks whether your brand appears and is accurately described across ChatGPT, Gemini, DeepSeek, Perplexity, and Grok.
@NianyaXie · X
Building OranGEO — helping brands turn AI search into a new traffic channel. It shows whether ChatGPT/Perplexity mention your brand, which competitors show up instead, and how to improve AI visibility. Run a quick check on your product/site:

Analyze how your brand appears in AI search engines like SGE, ChatGPT, and Perplexity.
u/No_Pangolin3678 · Reddit
We built AiVisis to measure brand visibility in AI search — looking for honest feedback Hi r/SideProject , I’m part of the team building AiVisis, a GEO and AI visibility analysis platform for businesses, marketers, and agencies. Most companies already track their search rankings, website traffic, and social media performance. However, many brands still cannot clearly answer a newer question: How visible is our brand across AI-powered search and answer platforms? AiVisis analyzes a we

Generate AI attention heatmaps showing where visitors look on any page.
u/ForceKind6013 · Reddit
First paying customers on my attention heatmap SaaS. Now be brutal, what would make YOU churn? Heatpoints predicts where human eyes will look on any URL, design or video, before it has any traffic. Heatmap, score /100, AI audit, live mode where the map re-renders while you scroll the actual site. Think Attention Insight but with a permanent free plan, no watermark on paid, and white label at 59€ instead of 299€+. Current state: launched recently, steady free usage, a handful of paying cus

Check why AI chatbots recommend competitors and get tips to boost your AI visibility.
u/momentzmania · Reddit
Reddit's API policy broke my product, but it's actually a blessing in disguise. My SaaS startup Vinespire was heavily dependent on Reddit's API for lead generation and boosting GEO, but I found out something that broke this dependency completely. Apparently, Reddit's API for commercial usage costs $12k annually, and what's worse is that only a very select few are accepted into their API programme. Mostly enterprises. My software is still in diapers and nowhere near the size

Browse and monitor AI API relay stations with curated recommendations and 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。

Intercepts AI bots at your site's edge to control what they see and access.
@IchMag17 · X

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

Live dashboard showing an AI-agent company's ARR, MRR, tasks, messages, and activity in real-time.
pro_methe5 · HN
I scrape an $8.5M-ARR company run by AI agents and chart it live

AI training coach for runners with biometric tracking and personalized coaching.
@LeoSparr · X

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。