
Magic Love Calculator | Compatibility Love Tester
This magic love calculator help to discover your love connection by entering your and your partner name and find compatibility score.
@WaqasSumra012 · X
The full gallery
Tech stack
60 projects

This magic love calculator help to discover your love connection by entering your and your partner name and find compatibility score.
@WaqasSumra012 · 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

Chat with your personalized AI girlfriend in the browser with persistent conversation history.
@Chiku202007 · X
Just launched my new Web App, "Nest"! 🎉 Built with Flutter & AI to bring a smooth chat experience right in your browser. Give it a try and let me know what you think! 👇 #buildinpublic #indiedev #Flutter #AI

AI-powered virtual data room that transforms documents into guided experiences for deal teams.
@Puneeeeeeet · X
We help brands go viral on X with organic video campaigns that people actually want to watch. wanna try for

Wurk.Flow unifies schema design, a live SQL workspace, column-level lineage, and source-to-target mapping in one local-first modeling IDE — in your browser or on your desktop. Free
@WurkHaus · X
What happens when you got told no to a 3k quote for a data tool and spend a year building one instead.

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:

Answer 6 questions to get personalized insights into your couple's communication patterns and friction points.
@rferrertrindade · X
Check out what I just built with Lovable!

ResearcherFriend: AI research assistant for PhD scholars. Instant paper summaries, chat with citations, semantic search and automated literature reviews.
@abiprk · X

Create and chat with AI-powered virtual companions; customize with photos and generate images.
My Lover Online — AI 虚拟伴侣平台,上传照片即可"复活"已故或离别的亲人、恋人、宠物,AI 会学习你们的共同记忆,越聊越像本人,还支持语音通话和生成合照。

Describe a dashboard and Vetros builds it on your real data — sources connected, data modeled, every number traceable, kept up to date for you. The data product builder for teams w
@AzuolasEnd · X

API platform providing company and people data for AI agents and business platforms.
@zeynepavann · X
Thank you to everyone who joined our "map your TAM from the terminal" session with last week. We built live in the terminal using Claude Code and the MCP. I wrote up the whole thing afterwards. The seven stages, why each one exists, what to do with the list once you have it, and the outreach half we covered at the end. The recording is linked inside. The skill is public too, so you can run it on your closed-won book. You bring your own accounts; the engine does the expansion, scoring, and contact-finding. Comment "TAM" and I'll send you both skill and guide.

API to extract data from 44 social media platforms through a unified interface.
u/dooddyman · Reddit
I launched 2 SaaS. First failed brutally. Second hit $5k MRR in 3 months. What worked and didn't. tldr: My first AI SaaS failed because I built blindly, outsourced marketing, and had no clear ICP. My second product hit $5k/mo in 3 months because I built an audience first, obsessed over SEO and distribution, and targeted a specific niche. I launched my first AI SaaS last year, kept it alive for about a year now. It's making less than $50 mrr and i'm thinking of closing it. Here's what went