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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
分析拉取请求以理解变更，区分重要改动与琐碎修改，识别潜在回归。
logphase · HN
I've always struggled to hold a large PR in my head. AI-assisted coding has made it worse. Especially when dozens of files are modified, it became harder to understand what changed: distinguishing important changes from trivial ones and identifying if regressions were introduced. I was also tired of switching between file and method to build the whole picture in my head — I wanted all the context at the point of the function I was reviewing. I guess I'm just more of a visual person. I realized t
分析客户数据，细分受众，创建营销活动，追踪商务指标。
@jitendraballa · X
分析着陆页的转化问题，获取排序修复建议及预期提升效果
@JonBuildsHQ · X
My project is A tool for SaaS founders to spot landing page leaks. What are you working on?
将英文转换为Excel/Google Sheets公式，分析数据并导出报告。
@ExpressSheet · X
Upload a spreadsheet. Ask questions in plain English. Get insights, charts, and a polished PDF report back. ExpressSheet is like having a data analyst on call, 24/7. Start free:
每周自动追踪竞争对手的定价、功能和消息变化。
@Caden1Fenn · X
Intel Brief — tracks what your competitors change (pricing, features, positioning) and delivers it to your inbox weekly. Built for indie SaaS founders.
用AI分析和追踪竞争对手的策略和动向
@NateDenisal · X
Working on a competitor intelligence platform,
连接多个加密和外汇交易所，统一追踪头寸、分析收益，获得AI交易指导。
@blackkaide · X
OMNEX: AI that reviews your trades like a coach with no ego to protect — it just tells you where you bleed and how to stop.
监控 Core Web Vitals，衡量性能下降对收入的影响。
@AuditJet · 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
