Finance & Business2 weeks ago
Arcva
AI-powered operating system for launching, scaling, and managing startups from concept to exit.
@shawah_tam84362 · X
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AI-powered operating system for launching, scaling, and managing startups from concept to exit.
@shawah_tam84362 · X
@solopribuilds https://t.co/KIq3TZFnPv I'm vibe coding thermodynamic computing. So far I have llama running in sim replacing traditional softmax with boltzmann distribution samplin
@paul_s_1738 · X
I'm vibe coding thermodynamic computing. So far I have llama running in sim replacing traditional softmax with boltzmann distribution sampling across a p-bit array. Im building a local research ecosystem too using qwen.
Deploy your own secure, production-ready n8n instance in minutes with built-in 24/7 monitoring, email alerts, SSL, custom domains, and backups. Free 1-week trial.
@cuebicai · X
AI platform for building full-stack apps using up to 10 parallel specialized agents.
@Ajathinfotech · X
How do Ajath's parallel agents actually build full-stack apps in mins? Let you work with up to 10 specialized AI agents in parallel to eliminate traditional development bottlenecks. Try Ajath for free: #VibeCoding #NoCode #AIAgents
A cloud coding agent for teams to collaborate on code in shared rooms together.
u/Wide-Echo-548 · Reddit
Slack for AI Coding Workspaces I’m the founder of Worklone ( www.worklone.com ) . Disclosing that up front. Worklone is a multiplayer AI cloud coding agent: the agent runs in a cloud Linux sandbox, the team shares one live room, everyone watches and steers the same run. Not a local CLI on one laptop. What we kept seeing building this: the agent isn’t the bottleneck. Handoff is. One person starts a run, closes the lid, nobody else can see the session, and review lives in a different tool t
AI-powered code review that runs code in microVMs to catch more bugs.
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
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
Generate full-stack React apps by describing your idea in Arabic or English.
@codeskyai · X
Meet CodeSky ☁️ the Arabic-first vibe coding platform. Describe what you want — in Arabic or English — pick an AI model, and get a real running app. Clean code, first-class RTL. Start free → #VibeCoding
Research markets and build reports with the rxlab finance agent.
@Maurice1Zzz · X
Thanks Silver Here is our app, a financial market research agent
Write and run code in your browser with AI code generation and auto-fix features.
@anish2good · X
Run your Claude Code sessions hands-free by voice from your phone.
@phiwenger · X
Yeah /remote-control is the workaround but it's clunky. I built yothere for exactly this. With yothere you can spin up multiple Claude Code sessions from your phone, run them all hands-free by voice, and just get pinged when done or stuck.
Build, verify, and ship software with teams and AI agents in one connected workspace.
u/OGMYT · Reddit
Validating a micro-SaaS for checking AI-built software before it ships I am building **Flows**, a system that turns an AI software goal into ordered implementation steps, checks, repair prompts, and a build report. The business thesis is not “better prompts.” It is reducing the cost of getting from an AI-generated first draft to a checked, shippable result. Metrics I want to measure: - prompts per completed project - tokens or credits per checked step - first-pass check rate - repair atte