
AI Agent Readiness & Technical GEO Audit | Lacomfe
Check whether AI crawlers can access and understand your website. Lacomfe audits crawler rules, discoverability, content structure, structured data, and trust signals.
@diziRagna · X
The full gallery
Tech stack
24 projects

Check whether AI crawlers can access and understand your website. Lacomfe audits crawler rules, discoverability, content structure, structured data, and trust signals.
@diziRagna · X

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

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

AI form builder that turns voice, photos, and messy notes into clean structured data. 200+ templates, analytics, and integrations. 14-day Pro trial, no card.
@faizydroid · X

Scrape public websites into Markdown and structured data with an API.
surajkrajan · HN
Web Scraping and Crawling – FetchRelay

Web scraping API that extracts structured data from websites for AI agents.
mohitprateek · HN
Anakin – API for your AI agents to access the most difficult websites

API for querying structured public X data including posts, profiles, trends, and followers.
u/CodeElectrical7071 · Reddit
X’s API is expensive, so I built a simpler API for public X data I’ve been building ThreadQuery, an API for getting structured public X data into apps and AI workflows. It supports search, post lookup, profiles, user posts, threads, trends, followers, and following. I’m starting with a free beta while I test reliability with real usage. The first 100 verified users get 1,000 free credits. No payment integration yet. I’d love feedback, especially on incorrect data or missing endpoints:

Browser-based tools for formatting, encoding, testing, and converting data.
4seasons · V2EX
devfun.org - 开发者(网络)工具集合 ## 访问地址 https://devfun.org ## 主要功能 - 本机 IPv4/IPv6 网络检查及 IP 信息查询 - 站点可访问性检查(支持全球区域) - 代理检查及代理全球出口检查 - 各类编解码、格式测试、文本格式化、校验密钥生成、文本处理、转换工具 欢迎大家使用,提供建设性的建议和意见!

Measure engineering craft using Git analytics and code quality metrics.
ricardo_santis2 · Product Hunt
CraftScore Measure engineering craft, not AI output.

No-code platform for data analysis and document extraction.
@0xLingjieKong · X
Hey @Sarakhan49309, I'm currently building an agent specialized in data analysis that reduces hallucinations. would love to connect!

Find and enrich high-quality leads with verified contact data.
jens_bjerregaard · Product Hunt
Tables.so AI that finds, qualifies and enriches your next customer

Generate realistic test datasets in JSON, CSV, SQL, and more formats for development.
@ashusevim · X
just shipped Datumly. Generate realistic test data in JSON, CSV & SQL — with API access and seeded data. built for developers, because creating dummy data gets annoying fast. #buildinpublic