Snz @Snzdotcom

@kelvin_sznx One painful problem → one repeatable system → AI doing the heavy lifting. That’s how solo operators quietly build serious businesses. Solid advice.

HOW ONE PERSON CAN BUILD A $10K/MONTH AI SERVICE The old agency model needed employees, meetings, project managers, designers, developers, and endless tools. AI is changing the economics. You can now build a service around one painful business problem and use AI to handle a huge part of the delivery. Here’s the model: 1. FIND AN EXPENSIVE PROBLEM Don’t start with an AI tool. Find a business problem that already costs companies time or money. Lead generation, customer support, content, reporting, research, internal automation, sales follow-ups, or website operations. Solve the problem first. 2. BUILD THE SYSTEM Use AI coding tools and automation platforms to turn the solution into a repeatable workflow. The goal isn't to build something complicated. Build something that can take an input, do the work, verify the result, and deliver the output. 3. TURN IT INTO A PRODUCTIZED SERVICE Instead of saying: “I do AI automation.” Sell a clear outcome. For example: “We build an automated lead follow-up system that responds to new leads and keeps your pipeline moving.” Specific problems are easier to sell than vague AI promises. 4. AUTOMATE DELIVERY This is where the model gets interesting. AI agents can handle research, data processing, content generation, reporting, customer communication, and repetitive operations. You remain the person designing the system, checking quality, and improving the workflow. 5. SCALE THE SAME SYSTEM You don't need 100 completely different services. Find one workflow that works. Improve it. Turn it into a repeatable package. Then sell the same system to more businesses. That's how a one-person operation can start behaving more like a small company. The real opportunity isn't simply “using AI.” It's learning how to turn AI into a repeatable business process. One person. One painful problem. One repeatable system. And AI doing more of the work behind the scenes. Bookmark this. The next wave of small businesses may look less like traditional companies and more like one person operating a network of AI workers.

This open-source project feels like something straight out of a spy movie. It’s called God’s Eye View. With 32.4K+ GitHub stars and an MIT license, it gives you a live 3D view of the world where you can: → Track aircraft and ships in real time → Explore a photorealistic 3D globe → Pull in public street cameras → Zoom from the entire planet down to individual vehicles And the wildest part? You can read the code powering the entire system. It looks like a classified intelligence operations room, but it’s built around publicly available data and open-source technology. Bookmark this one. It’s seriously worth exploring.

The interesting part isn't that the agent can code for you. it's that you can give it something to build and no need babysitting it. Just start the task and come back to a finished implementation waiting for review. check the difference your phone, approve it, and get back to your day. coding agents are getting pretty good at working without supervision and i will be exploring this a whole lot.

Superset @superset_sh

8 hours ago

Introducing Superset for iPhone. Remotely control agents running on your computer. Review and ship PRs from your pocket.

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4 GITHUB TRICKS THAT CAN SAVE YOU SERIOUS TIME. Most developers use GitHub to read and clone code. But with these 4 tricks, you can edit, run, analyze, and give entire repositories to AI in seconds. 1. PRESS "." TO OPEN GITHUB IN VS CODE Open any GitHub repository and press the "." key. GitHub instantly opens the project in a browser-based VS Code environment with the file explorer, search, syntax highlighting, and more. Perfect for quickly exploring unfamiliar code, making small edits, or fixing a typo without cloning the repo. You can even commit your changes directly from the browser. 2. CHANGE "github.com" TO "gitmcp.io" Want an AI assistant to actually understand a GitHub repository? Replace "github.com" with "gitmcp.io" in the repo URL. GitMCP creates an MCP server for the repository, which you can connect to tools like Cursor, Claude Desktop, Windsurf, VS Code, Cline, and other compatible AI assistants. Now your AI can work with the repository's actual documentation and code instead of relying on guesses. 3. CHANGE "github" TO "gitingest" Need to give an entire repository to an AI model? Replace "github" with "gitingest" in the URL. GitIngest turns the repository into a single, AI-friendly text digest containing the file structure and source code. You can copy everything or download it, then paste it into your preferred AI model. You can also exclude files or folders and set size limits to keep the context manageable. 4. CHANGE "github" TO "githubbox" Want to test a GitHub project without installing everything locally? Replace "github" with "githubbox". The repository opens inside a CodeSandbox environment with an editor and live preview, allowing you to inspect, modify, and run the project directly in your browser. It's especially useful for quickly testing frontend projects. THE BEST PART? Three of these tricks only require changing the URL. The fourth is literally pressing one key. In a few seconds, you can go from simply reading a GitHub repo to editing it, running it, connecting it to AI, or turning the entire codebase into AI-ready context. Bookmark this. You'll want these the next time you find an interesting GitHub repo.

@kelvin_sznx This is wild Open-source “God’s Eye” with real-time tracking and public cameras… the future is already here.

GPT-6 Astra is pushing AI-generated visuals into a completely different territory. This video is a great example of what happens when an AI model can understand space, depth, lighting, motion, and complex 3D environments instead of simply generating a flat image. From massive galaxies to surreal worlds and cinematic environments, Astra can turn a simple idea into something that feels like it belongs inside a game, movie, or 3D production. And this is bigger than making pretty pictures. It points toward a future where you can describe a world, scene, animation, or interactive experience in plain language and AI handles much of the creative construction. 3D design is becoming conversational.

most CRMs need a human to keep everything moving. i found this one that has 6 AI agents doing it for you. 100% free, open source and production-ready. each agent handles one part of the job: → Lead Qualification Agent scores and routes inbound leads → Email Intelligence Agent finds emails that need a reply → Sales Pipeline Agent moves deals through stages automatically → Customer Success Agent spots early churn signals → Meeting Scheduler Agent handles calendar coordination → Analytics Agent tracks what everything else is doing built with FastAPI, PostgreSQL, Celery, and LangChain. basically, an AI powered CRM you’d normally pay hundreds of dollars a month for. save this you'll need it later. repo below

MIKE @mikenevermiss

3 days ago

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GPT-6 Astra is pushing AI-powered 3D design to a whole new level. And this is the COMPLETE tutorial for using Codex to create, build, and experiment with 3D designs and creative projects. This guide covers everything you need to understand about Codex and GPT-6 Astra from getting started to turning your ideas into actual 3D work. If you want to explore what AI can really do for design, creative development, and 3D workflows, bookmark this one. x.com/viktoroddy/sta…

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GPT-6 Astra isn’t just chatting with you Most “AI agents” on your timeline are just chat windows with extra steps. Astra is different. It doesn’t tell you what to click. It clicks. Open the invoicing app. Find the client. Enter the amount. Set the due date. Hit send. No API glue. No custom integration. No hand-holding. Just Astra operating the same software you use, directly through the screen. That’s the real shift: An AI that talks about your software vs. an AI that actually uses it. Computer use isn’t just another feature. It’s the interface.

This is absolutely mind blowing 🤯 One open-source project just made video repurposing ridiculously simple. It’s FREE, already crossed 11.4K GitHub stars, and keeps gaining traction. Drop in a single video and it can: → download or upload your footage → transcribe, translate & dub in 100+ languages → reframe landscape videos into vertical clips → generate the cover art automatically I tested it on a 46-minute video. It processed the entire thing in one go and generated subtitles without a single manual fix. One video becomes a content machine for YouTube, TikTok, Bilibili, Douyin, and more. Save this one. You’ll thank yourself later.

MIKE @mikenevermiss

3 days ago

this is f**king insane. an open source team just released a FREE tool that can turn one video into content for almost every platform. it already has 11.4K stars on GitHub and keeps climbing. it lets you: → download or upload any video → transcribe, translate, and dub it in

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BREAKING NEWS: CHATGPT can now build most of the workflow behind a YouTube channel. And what used to require a small team can now be prototyped by one person with the right AI tools. You can use AI to research niches, analyze competitors, find content gaps, understand audience demand, and come up with video ideas. Then it can help build your entire channel identity l from the name and positioning to the bio, banner copy, and overall content direction. Once the foundation is ready, AI can create a 30-day content calendar with video ideas, titles, hooks, angles, and outlines. It can also turn those ideas into full scripts based on your preferred style and tone. Then comes the repetitive stuff. Titles. Descriptions. Keywords. Chapters. SEO. Thumbnails ideas. And once you publish a long-form video, AI can repurpose that same content into Shorts, X posts, LinkedIn posts, newsletters, and blog content. One piece of content can suddenly become an entire content system. That’s the real shift. You no longer need to manually handle every part of the production process. AI can act as your researcher, strategist, writer, SEO assistant, and repurposing team. But here’s where the hype usually stops. AI does NOT guarantee views. It doesn't guarantee subscribers. And it definitely doesn't guarantee revenue. YouTube still rewards content people actually want to watch. Your ideas, taste, storytelling, editing, personality, and consistency still matter. You also shouldn't turn your channel into an AI content factory pumping out generic videos with zero personality. The better strategy is simple: Use AI to handle the busywork. You handle the vision. You choose the angle. You add the personality. You make the final creative decisions. Think of AI as your production team, not your replacement. The tools are becoming incredibly powerful. The advantage will go to the people who know how to turn those tools into a repeatable content system.

@kelvin_sznx Thanks for sharing, buddy

Clay charges $800/month to run GTM agents on your pipeline. i found this open source version that does something similar. MIT licensed, CLI first, and runs directly in Claude Code. it handles things like: → enriching leads from your existing CRM and sequencer → feeding call recordings directly into your outreach → running pre-built GTM agent workflows on your own stack → it has no vendor lock in, no per seat fees, and no data leaving your infrastructure Clay is one of the fastest growing SaaS companies right now. this is the self hosted version. save this now, repo below.

MIKE @mikenevermiss

3 days ago

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@robbietilton Wooow this is absolutely mind blowing 🤯...... I'm interested in learning more about this

@kelvin_sznx This is actually insane Free + 11K+ stars and it handles transcription, dubbing, reframing AND cover art in one go? Drop the GitHub link please.

A 23-MINUTE MASTERCLASS ON HOW TO BUILD A $35,000/MONTH YOUTUBE CHANNEL. This guy breaks down how to find videos people are already searching for, create content around them, and monetize the traffic while working just 1–2 hours a day. Bookmark this. You’ll want to come back to it. Follow me for more AI and money-making strategies.

kelvin @kelvin_sznx

a week ago

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@kelvin_sznx GPT-6 is changing everything

STOP GIVING GPT-6 ASTRA A TO-DO LIST. Give it a finish line. Instead of micromanaging every step, type "/goal" and describe the outcome you want. GPT-6 Astra handles the rest: → researches → builds → verifies → keeps iterating until the job is done No constant check-ins. No babysitting. No 20-step prompts. Just give it the destination and let the agent figure out how to get there. That’s Goal Mode: less prompting, more shipping.

kelvin @kelvin_sznx

4 days ago

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