
kral | One chat, every model
Chat with multiple AI models, build agents, generate images, and analyze PDFs.
@ai_kral · X
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60 projects

Chat with multiple AI models, build agents, generate images, and analyze PDFs.
@ai_kral · X

AI application for table question-answering, text OCR, and table image structure recognition.
海嘉 AI 实验室智能应用 — 表格问答,文字 OCR,表格图片结构识别等

Connect your brokerage accounts to get AI-powered daily briefings on your portfolio's income, concentration, and risk.
@blaqdu · X

Multiple AI agents develop code in parallel with automatic error detection and fixing
@ForgeLab_Brain · X
Open beta launched. See more here: 🌐 #VibeCoding #BuildInPublic #IndieHacker #AIdev

Package, share, and compose AI intelligence modules in an open registry.
@ChakreshBuilds · X

Scan AI-built apps for security vulnerabilities including leaked keys and exposed config.
thfothijn · Product Hunt
OpzyAI Finds what your AI-built app leaks — your editor fixes it

Transform study materials into concise notes and diagrams with AI assistance.
Turbo Learn — 从文档、图片、拼音文件生成笔记的 AI 学习工具网站

AI-powered tool that stress-tests business ideas with financial analysis 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.

Transform AI-generated text into human-sounding content with tools for grammar, summarization, and SEO optimization.
@RohanAhmed06 · X
🚀 Built Humanely. An AI writing toolkit with: • AI Humanizer • AI Detector • Grammar Checker • Text Summarizer • SEO Tools I'd love your honest feedback 🙌

Analyze US stocks by watching AI investment personas debate each company.
hobbescotch · HN
Noema – AI personas debate US listed stocks

Use AI code review that runs code in microVMs to catch more bugs faster.
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db

AI discovers trending topics, drafts tweets, scores content, and publishes on your schedule.
@bakardev · X
Hi i am building