
AI Data Analysis Tool | Energent.ai
用于数据分析和文档提取的 No-code 平台。
@0xLingjieKong · X
Hey @Sarakhan49309, I'm currently building an agent specialized in data analysis that reduces hallucinations. would love to connect!
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用于数据分析和文档提取的 No-code 平台。
@0xLingjieKong · X
Hey @Sarakhan49309, I'm currently building an agent specialized in data analysis that reduces hallucinations. would love to connect!

分析客户数据,细分受众,创建营销活动,追踪商务指标。
@jitendraballa · X

分析任何网站URL,获得可信度和安全性报告。
@Mahmoud525258 · X
Check out what I just built with Lovable! Safety is an AI-powered website analysis platform designed to help people make smarter and safer decisions before visiting or trusting any website.

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.

AI财务预测和信用分析平台,为信贷分析师和借贷专业人士服务
@caseyyoshi · X

一键连接 Shopify 和广告账户,查看统一的利润及广告效果分析。
@revenome · X
Building Revenome ( — automated profit & ad analytics for Shopify brands. Cuts through the noise to show your real net metrics 📊

AI工具,通过分析会议记录检测范围蔓延,为代理商和自由职业者标记风险。
@theshaunak_twit · 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

采用AI的网络分析,追踪收入,提供隐私优先、无Cookie的数据洞察。
@pruthveeee · X
Revenue focused Privacy friendly GA alternative

监控 Core Web Vitals,衡量性能下降对收入的影响。
@AuditJet · X
查看 Bitcoin 底部和顶部风险信号,来自综合技术、链上和情绪指标。
@BDNcontent · X
Every post in my LinkedIn timeline is about one of two things right now: 1) Github is the new necessity for marketers, and 2) Substack integrated Pangram to "combat AI slop." The first one is kind of cool, I made my own Github this week to publish the first tool I vibe coded on my own. The second one is kind of annoying because while some people already know AI detectors are almost useless, some are also hailing Substack as being forward-thinking and righteous for bringing down the big bad AI sloppers. What Substack did boils down to a marketing ploy. The hot trend in advertising/marketing right now is being anti-AI because a lot of people are sick of AI slop, understandably. But Pangram isn't a fix for anything other than the most generic one-prompt outputs, i.e., someone goes to ChatGPT and says "write me a long-form newsletter," and they copy + paste the output. That will obviously be flagged. If someone has a custom project or GPT they trained extensively,

Salestrics:销售团队的一体化 CRM 工作区,内置 AI、文档和分析。
@Salestrics · X