@Portfolio_First · X

My trading platform: Synthetic futures-like spot positions

策引 — 全球市场技术分析工具，可以创建多个市场的模拟组合并做深度回测分析。同时正在开发 AI Agent 功能，可帮助用户使用大模型自动生成基于不同交易策略的模拟组合。

@vaultdesk · X

EasyLaunch — 能力产品化平台，把专家方法论和 AI Skill 一键上线成带登录、收款与数据统计的可售服务

u/balubala1 · Reddit

I’m a 5 year old with a $100K MRR SaaS. Here’s what I did. Hi everyone, I’m Brian. I’m about to start kindergarten soon. Also, I built a SaaS that makes me $100K MRR. A few people, and even my own family, have been asking me how I built a successful business when I don’t even know how to wash my own face. I figured I shouldn’t keep it to myself and let everyone know. Mommy did say it’s bad to keep secrets. Ship in a week : What even is validation? I opened Daddy’s laptop and presse

u/as-333 · Reddit

Built an AI chat that pays you per message, scored in real time: looking for feedback I've been using Claude Code to build Argutum, an AI assistant that scores every message you send (0–100, five dimensions: complexity, novelty, structure, domain expertise, conversational depth) and pays you for the good ones. The underlying idea is that your prompts get sold as training data to AI labs, so you should get a cut instead of it happening for free. Stack: Next.js 16, Groq/Llama 3.3 70B, custom

@PickleCharts · X

Hey @Shakib2O1 Would love to talk to you about my SaaS project ! Drop me a DM

@CRYPtoKong32 · X

also Join our $MUSKOX Ai Ecosystem built on Base Coin. 🪙 $AGWC Websites:

@harryjwang · X

I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age

@nava_who_codes · X

I spent 46$ to built Fund Explorer app 20$ - Claude Code 12$ - Claude API keys 11$ - Domain 3$ - To test the actual payment gateway after prod deployment

@RanaZia30932 · X

Thanks. We have Built an AI platform that auto-pulls every contract daily, NAICS matching, deadline alerts, AI proposal drafting, and Go/No-Go scoring. 17 tools, one profile.

@Caden1Fenn · X

Intel Brief — tracks what your competitors change (pricing, features, positioning) and delivers it to your inbox weekly. Built for indie SaaS founders.