Most devs manage servers from a spreadsheet of IPs and commands nobody remembers. CtrlOps gives you AI-powered server management without DevOps expertise. AI terminal that generates commands with your approval. Scripts library. One-click deploys from any GitHub repo. Visual file manager. Real-time server monitoring. Zero agents on servers. Deployments that took 60 minutes now take 5. 100% local. Your credentials never leave your machine. Mac. Windows. Linux.

AI agents render UI slowly, expensively, inconsistently and inference bills balloon from it. Montage fixes it: emit a tiny intent schema, we compile production components server-side: 10x faster, 50-100x fewer tokens, model and framework agnostic. Now one M1 API call generates rich interactive visuals, hosts them as live UIs with persistent state, and styles to your brand. Don't let your agents reinvent UI every turn - ship them on Montage!

A browser-based visual editor for building AR & VR scenes. Drag and drop 3D objects, generate assets with AI, then ship natively to iOS, Android, and Meta Quest from a single React Native codebase. Open source renderer, Expo-compatible, 100K+ npm installs.

Elevate your captures into professional visuals with customizable gradients, 3D effects, and polished layouts.

Three things kept hitting me using Claude Code. Tab switching every 30 seconds just to check if it's still running. Claude silently blocking for 12 minutes while I was in another app. Coming back to find it finished or stuck 15 minutes ago. So I built CodeBreak. A pixel-art character walks your screen while CC runs. It celebrates when done, panics when it needs you, sulks on errors. $7 one-time. No sub. All future updates are free. Its for CC now, eventually will be Universal for all AI tools.

A unified storage SDK for object and blob backends. One small, honest API. Web-standards I/O. An escape hatch when you need the native client.

Wring is an offline macOS menu bar app with 12 developer tools for JWTs, hashes, regex, JSON, Base64, timestamps, cron, colors, UUIDs, diffs, load monitoring, andenv secrets. No account, no analytics, no network access.

Gemini 3.1 Flash-Lite runs tool calling, classification, translation, and multimodal processing via API on Google's Gemini Enterprise Agent Platform. For AI engineers building high-volume, latency-sensitive agent pipelines in production.

You can now give Hermes, Claude Code, and Codex infinite memory. Agentmemory is trending on GitHub with 5,000+ Stars. CLAUDE md dumps 22,000+ tokens into context at 240 observations agentmemory: 1,900 tokens. same observations. 92% less. At 1,000 observations, 80% of your built-in memories become invisible. agentmemory keeps 100% searchable. benchmarked on 240 real coding sessions → Up to 95% fewer tokens per session → 200x more tool calls before hitting context limits → 100% open source

LaunchChair is the product layer for AI builders.AI has made it easier than ever to build quickly, but speed does not automatically create product clarity. A founder can open GPT, Codex, Claude, or Claude Code and start shipping almost immediately, but a fast build can still drift if the product direction is fuzzy, the customer pain is unclear, or the MVP is too broad.That is the gap LaunchChair is built to solve.LaunchChair helps founders turn messy ideas into market-informed MVPs by guiding the thinking that should happen before and during the build. It helps clarify the wedge, identify real customer pain, define the target user, shape the product strategy, and scope the MVP before execution runs too far ahead.From there, LaunchChair turns that direction into a living product spec that becomes the source of truth for the build. Instead of relying on scattered notes, disconnected docs, and random AI chats, founders get one structured workflow that keeps product decisions, feature requirements, implementation guidance, and launch direction tied together.LaunchChair then generates dynamic, feature-by-feature prompts for the AI tools builders already use, including GPT, Codex, Claude, and Claude Code. Each prompt includes scoped context, implementation guidance, acceptance criteria, QA guardrails, and fix prompts when something is missing or off-track.That means builders are not starting from blank chats or rewriting prompts by hand every time they move to a new feature. The AI gets clearer product context, and the founder gets a more consistent build process. Instead of asking an AI model to guess what the product should become, LaunchChair helps founders feed it a sharper plan, better constraints, and clearer requirements.It is especially useful when a builder has an idea they believe in, but has not fully nailed the wedge, user pain, MVP boundaries, or launch angle yet. Those are the places where AI can accidentally create more noise instead of more progress. LaunchChair slows the right parts down just enough so the build can move faster in the right direction.LaunchChair also connects the build to distribution. It supports landing page direction, SEO planning, positioning, and launch execution, so founders are not just building faster, they are building toward first users.Key features include:Market wedge validationCustomer pain identificationTarget user clarityMVP scope planningLiving product specBuild-ready AI promptsFeature-by-feature implementation guidanceAcceptance criteriaQA guardrailsFix-prompt generationLanding page directionSEO supportLaunch execution guidanceDistribution planningLaunchChair is built for founders, solopreneurs, indie hackers, and AI-assisted builders who want to move faster without accidentally building the wrong thing. It gives the build more context, the MVP more focus, and the founder a clearer path from idea to launch.