金融商业2 weeks ago
AskLedger — Cut your AI spend, and prove the savings are real
扫描AI账单找出浪费支出，用防篡改证据证明节省成本。
Open source
@askrashidkhan · X
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扫描AI账单找出浪费支出，用防篡改证据证明节省成本。
@askrashidkhan · X
AI和机器人板块交易信号，附带公开成绩单。
@TradingResXYZ · X
Material catalyst events scored by our research pipeline — every call logged on issue, auto-closed on its holding period, and benchmarked against the sector ETF. The track record is the pitch.
基于证据分析比较候选人，生成招聘决策文件。
facundobon · HN
Verdict – AI hiring verdicts where every score cites the CV verbatim
追踪 AI 行业关键变化与证据支持的趋势。
barretlee · GitHub
agent-pulse Evidence-backed AI industry intelligence — trends, source updates, daily data refreshes, and weekly decision briefs.
上传AI对话记录，获取证据支持的报告
@StilThinkng · X
Tired of repeating the same context across ChatGPT, Claude, and Grok? SoulBots builds a privacy-first memory that grows with you across AI. Looking for early testers.
用AI分析社交媒体数据回答市场研究问题，洞察有证据支持。
Dgeloe4-yb · GitHub
market-pilot Evidence-grounded market research prototype with traceable AI workflows.
AI 股票预测和信号生成器，支持 backtesting 和 paper trading。
@useStockAI · 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
AI 研究代理分析公开市场，提供收益警报并总结 SEC 文件（附引用源）。
oceanplexian · HN
I Built OpenClaw for Stocks
通过多个AI投资顾问的辩论获取股票分析。
hobbescotch · HN
Noema – AI personas debate US listed stocks
Explore interactive data analysis of current AI hype levels and market trends.
laurentiurad · HN
I built a web page that aggregates data about data center buildup, sovereign fund investments into AI and bottlenecks. The objective is to predict AI race cooldown by looking at a potential decrease of activity involving these elements. The website looks at the quarterly forms from the 5 biggest hyperscalers and adds their CapEx into the mix, calculating a composite index in the end showing how likely it is for the AI race to slow down. Enjoy!
