Developer Tools1 month ago
Encrypted data analytics & AI — Blind Insight
Analyze sensitive data with AI while keeping it encrypted end-to-end with client-side keys.
@JackiePeters · X
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Analyze sensitive data with AI while keeping it encrypted end-to-end with client-side keys.
@JackiePeters · X
Convertly is the most comprehensive privacy-first document AI platform, combining enterprise-grade file conversion with intelligent multi-agent document analysis across 7 industrie
@saim645 · X
Access data on 20M+ private companies and real-time news signals via API.
rohanrecommends · Product Hunt
akta.pro Private company data and signals API for the agent economy
Consolidate your business data from Stripe, PostHog, and Google Analytics into one dashboard.
@xdrewmiko · X
Roast my SaaS - Would you use it? - Should I change anything?
Find and remove exposed personal data like addresses and phone numbers from data brokers.
@erasepersonal · X
Log your habits and share a public link to get accountability from others
@ericbuildsio · X
Fix your habits with public accountability @publichabits
Privitly scans 526+ data brokers for your personal information, automates opt-outs, monitors the dark web for breaches, and removes your data from people search sites. Start your f
@Privitly1 · X
privacy app that covers what similar apps miss for cheaper.
Get transparent app development cost estimates and visual build plans based on AI tokens.
u/Ejboustany · Reddit
Knowing your build cost from a tokens formula The bigger the feature you are building, the more tokens you spend and how you can calculate the total cost of your build. You will also spend even more tokens making that feature proper and production ready. Say you want users to sign up, log in, verify their email and reset a forgotten password. Built properly it runs around 400,000 tokens. The formula I thought of is: tokens x $1,500 / 1,000,000 = price So those 400,000 tokens come ou
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
Build beautiful, dynamic forms without writing a single line of code. Drag, drop, and publish multi-language forms with team collaboration and real-time submissions.
@Simbalize · X
I’m been working on this project 🚀🧑🚀