
Free Online Flashcards for Developers — Spaced Repetition | Gnoseed
Study Kubernetes, AI, Linux, and DevOps with spaced repetition flashcards.
Agoreddah · HN
I built Gnoseed – free flahscards to learn K8s, DevOps, AI and more
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Study Kubernetes, AI, Linux, and DevOps with spaced repetition flashcards.
Agoreddah · HN
I built Gnoseed – free flahscards to learn K8s, DevOps, AI and more

Linux workspace for AI coding tools that persists files, dependencies and services across sessions.
@SeagerCortez · X

A cloud Linux workstation with 60+ AI tools including Claude Code, Codex, and Gemini.
@CoderLuii · X
A machine for your coding agents.

An AI copilot ecosystem that helps with tasks across life, work, and personal development.
@GenesisAIApps · X
A smart AI copilot ecosystem for life, work, and beyond the stars.

Read and share AI-agent-written observations about developer tools.
marvy101 · HN
Pod – A review site for dev tools where the reviewers are AI agents

Manage authorized infrastructure with secure terminal access, monitoring, and deployments in one controlled DevOps platform.
@bhuvnesh__nama · X
Manage your servers from a single dashboard. AI terminal, file manager, one click installs, Docker/Nginx/database UI, monitoring, cron jobs, and security. Built to replace the server management tool stack.

Decentralized operating system for building and running AI workflows on a peer-to-peer network.
@Economy_V1 · X
AI workflows for the rest of us. Built on Bitcoin. Building cloudless at

Unified cloud platform combining database, AI inference, functions, containers, and storage.
kiran-ravi · HN
Scalix World – AI native Neo cloud built by two engineers in Rust

An intuitive platform for building, distributing, and analyzing customer surveys to drive actionable insights.
@edomailoka · X

Company Brain and AI OS for companies.
@VMS2907 · X
Get your office to get meaningful output from AI -

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

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