
TraceLogicAI — See How AI Reaches Its Answers
Inspect AI reasoning traces and evaluate model groundedness in your AI systems.
malik_dixon1 · Product Hunt
TraceLogicAI: AI Architecture Evaluation Compare AI architectures with evidence, not guesswork
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Inspect AI reasoning traces and evaluate model groundedness in your AI systems.
malik_dixon1 · Product Hunt
TraceLogicAI: AI Architecture Evaluation Compare AI architectures with evidence, not guesswork

Extract structured data from PDFs automatically using AI for automated workflows.
u/yonnnyy · Reddit
How should I revive my Saas after 300 hours spent developing To provide context, a couple months ago I created a pdf to JSON ai extraction engine. I know... There are hundreds of products like this but for me the value proposition is that other solutions were heavy weight, expensive, non intuitive templates, and was slow. Therefore I created my own and I met my goals. I see genuine value in my product but the lack of users says otherwise. I think my best option is to build on top of this

API to extract tables and structured data from documents for AI agents.
g418572664 · V2EX
做了一个文档解析与记忆工具,专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的,就像大佬们说的,“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ,说要用 AI 赋能传统行业啥的,代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子,金融行业的“智能审计与尽调 Agent”。 过去,银行或投资机构想要给一家企业贷款或投资,需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ,但把文件一股脑全丢给它是不现实的,且不说烧 token 的问题,这些文档里有无数的跨行、跨列单元格表格,普通工具一拉,表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块,那得出的财务分析就完蛋了。 所以,现在要真想开发出一个能干活,还确保正确率的 agent ,就需要一个专业的、AI-native 的解析工具,把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的: https://knowhereto.ai/?utm_source=v2ex 它能把复

Paste your B2B deal scenario and get a full negotiation analysis in 90 seconds. Power dynamics, tactics, anchoring strategy, and more.
@eCommKen · X
My AI negotiations brain and deal analyzer:

Work through complex choices with AI to clarify trade-offs and get structured recommendations.
@arunkumarkundra · X
I vibe coded this app: My experience has been mixed. It is an iterative process, and you need to push back. But over time, I have seen Claude get better. If not for AI, I couldn't have developed the app in the first place, so I am thankful 🙂

Schematic AI is an AI data analyst that lets businesses upload CSV and Excel files, ask questions in plain English, and get trustworthy insights from their data in seconds.
@Ishaan_Gill_5 · X

Compare and evaluate AI models across coding, reasoning, agents, and other benchmarks.
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities

Analyze real-time financial data with AI-powered automated investment insights.
@tonylexfi · X

AutoDocParse extracts structured data from invoices, receipts, and business documents with AI confidence scoring, review queues, webhooks, and team workspaces.
@robingeekydev · X
I'm a solo dev and I just launched something I'm genuinely proud of 🧵 — AI document parsing with confidence scores Here's the problem it solves: Every day, finance & ops teams manually re-type data from invoices, receipts, and purchase orders. It's slow. It's error-prone. And it scales terribly. AutoDocParse lets you: → Upload any business document → Get structured data extracted by AI instantly → Review only the fields the AI isn't sure about → Push data anywhere via API or webhook Built this as a solo dev. Would mean the world if you tried it 🙏 👉 — 20 free parses/month

Analyze US stocks by watching AI investment personas debate each company.
hobbescotch · HN
Noema – AI personas debate US listed stocks
Generate, analyze, and negotiate professional contracts using AI.
@Anastasiiakdmk1 · X
Just shipped major updates to ContractAI 🚀 ✅ Professional contracts in 8 languages ✅ AI Credits packs (buy extra generations) ✅ Full plan comparison table ✅ Onboarding tour ✅ Chrome extension Try free: Demo: #buildinpublic #saas #legaltech #ai

AI tool that analyzes business ideas with financial projections and risk scenarios in 90 seconds.
@AIWMCX1 · X
Consultants don’t need more noise. AIWMC Quantis helps turn messy business ideas into clear scenarios, runway views, and risk signals — so you can spend less time rebuilding analysis and more time giving the client a real answer.