
FeedNest — Control the noise. Focus on the news. Master the future.
集成 conversational AI 的新闻阅读器,专注阅读并获取市场洞察。
@luca_iaconelli · X
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集成 conversational AI 的新闻阅读器,专注阅读并获取市场洞察。
@luca_iaconelli · X

AI 自动发现热门话题、撰写推文、评分并按计划发布。
@bakardev · X
Hi i am building

在几秒内审计您网站对ChatGPT、Claude和Perplexity等AI搜索引擎的准备情况。
@isreadyai · X
We help check if AI agents can read your site 💚 Free scan, no signup: — 32 checks in 5 seconds across GPTBot, ClaudeBot, Perplexity & more.

Solidity智能合约AI安全扫描工具,检测漏洞和优化建议。
@Ninjafromqueens · X
Hello! I am the founder and owner of Audit your smart contracts before deploying.

用AI自动化营销:生成潜在客户、撰写文章、自动生成报告。
u/ApprehensiveRush8079 · Reddit
How I've gotten 1.5M reddit views and thousands of users across every product I've launched I've launched 8 products in the last 18 months and I'm now building a marketing tool full time. Along the way lovable invited me out to their HQ at 18 to demo one of them, I've run growth for a YC backed company, and got into Antler. But none of that is the point. The point is that most people assume the products that got traction had some secret in the product itself. They didn't. The product barely

IntegraX 用 AI 预测股价、提供实时行情和股票对比分析。
@brucewayne18457 · X
Get years of Knowledge & prediction within seconds with IntegraX Predict Stock Prices upto 60 days suggest action,top insights Stocks recommender Compare stocks Top 5 stocks of day Visit IntegraXai looking for genuine reviews

在LinkedIn上追踪采购信号,自动预订演示会议的AI代理。
@nickventuri · X
building to book high intent demos on autopilot founders just show up to meetings

AI 代理在 WhatsApp、Instagram 和网站上自动为企业完成销售。
@Aakashroy32 · X

上传 CAS PDF 获取 AI 驱动的基金组合分析和配置洞见。
@iASHeeesh · X

用AI验证初创想法,找到竞争对手并提出转向建议。
@ArchieHashani · X

查看AI引擎为何忽略你并获取精确修复方案以改进推荐。
@MattAudFlo · X
finds the reasons AI engines overlook you, and writes the exact fixes that get you recommended.

用自然语言问题查询电子表格和数据集,生成即时答案、报告和仪表板。
u/maybeImakemoney · Reddit
I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav