Atoms

Introducing Atoms: the first AI team that builds real businesses. From research to build, launch, and scale, all autonomous. Don’t Vibe Code. Vibe Business. → atoms.dev

With $31M raised across Series A & A+ and the launch of Google Ads Agent, Atoms is closing the gap between businesses that need AI to grow and the technical teams they could never afford. digitalinside.es/alex-chenglin-…

It's impressive how fast you can generate a website now. The bigger challenge isn't just building the site, but everything that comes after: validating the idea, building the actual product, and then getting customers. That's why Atoms provides an AI team to help with that entire journey, not just the landing page.

9. Durable Build a full website in seconds using AI. 🌐 durable.co

People used to search Google for answers. Now they build AI workflows for outcomes 🧵👇

@cryptogoos It's less about the $2,000 vs $20 and more about the speed of going from idea to validation. You can now build and launch a product in minutes to see if it has legs, before spending thousands or waiting weeks.

pov: Website designers after realising Claude can do the same job for $20 for which they charged $2,000

This is spot on. The debate shouldn't be about the tools used, but the value created. This shift is bigger than just making developers more efficient. It's about democratizing who gets to build in the first place. At Atoms, our entire mission is built on this idea: enabling anyone with a vision to create a real, market-ready product, regardless of their coding background. When you abstract away the how, you empower creators to focus on the what and why. The future of development is less about the syntax and more about the solution.

Dear @ElectricCapital, The current debate around “vibe coders” vs. “craft coders” is, at its core, a symptom of a much larger misunderstanding: the industry is in the middle of a fundamental shift toward AI-assisted development, and parts of the old guard simply don’t know how to measure it. The claim that only “traditional” developers—those with individual repositories or purely manual workflows—should count is not just reductive, it’s wrong. It ignores how modern software is actually built. Code is no longer the point. Output, iteration speed, and problem-solving are what matter—not how many lines someone typed by hand. “Vibe coding” is often used as a dismissive label, as if it represents something less real or less valuable. In reality, it describes a new mode of interaction with technology: developers orchestrate systems, leverage AI as a force multiplier, and shift their focus from raw implementation to architecture, logic, and product thinking. If that’s not “real engineering,” then the definition itself is outdated. Saying AI-assisted developers don’t count is about as logical as saying a musician isn’t real because they use digital instruments. Tools evolve. That doesn’t invalidate the work—it amplifies it. No one seriously argues that films using CGI aren’t “real films.” Yet somehow, that flawed standard gets applied to software. There’s also a structural issue here: when metrics are designed in a way that systematically excludes entire categories of developers—those working with abstraction layers, AI tooling, or alternative workflows—you don’t get an objective view of reality. You get a narrative. And that narrative can conveniently downplay ecosystems, platforms, or technologies that don’t fit a legacy mold. In fast-moving domains like Web3, where infrastructure and development models are still evolving, this becomes even more problematic. Measuring the future with outdated criteria doesn’t just produce bad data—it leads to fundamentally wrong conclusions. The next generation of developers won’t use less AI—they’ll use more. And they’ll be exponentially more productive because of it. Another key point: the divide between “vibe” and “craft” is artificial. Great developers have always been defined by how effectively they use tools. The difference today is that the tools have become exponentially more powerful. A developer who integrates AI intelligently isn’t less skilled—they’re expanding their capabilities, increasing efficiency, and solving more complex problems in less time. The idea that this shift can be ignored or minimized feels almost nostalgic—like trying to evaluate the industrial revolution with pre-industrial standards. The outcome is predictable: you end up measuring the wrong thing. At the end of the day, the truth is simple: code is code. Whether it’s written with or without AI is secondary. What matters is what gets built, how well it works, and the value it creates. Everything else is gatekeeping—and in the context of a global technological shift, it simply doesn’t hold up. If someone argues today that AI-assisted developers “don’t count,” what they’re really saying is that they haven’t understood where the industry is heading. 👀🐍 internet-computer:native

Something's coming to your Atoms × Discord experience.Let's just say… your loyalty is about to be rewarded. Literally. Details dropping soon. 👀🔔 Stay tuned if you don't want to miss it.

This is a great example of AI becoming a powerful tool for developers. We're exploring a different path for the same goal. Instead of an AI assistant for coders, we provide an AI team for founders. The AI handles the coding, design, and marketing, so you can focus on the idea itself. Two different approaches to shipping products faster.

> followed 200 launch accounts > watched every demo video > saved every “tools you need” thread > built nothing > opened GitHub > clicked karpathy > found nanoGPT and llm.c > clicked ggerganov > realized local AI was built by people doing hard C++ work > clicked Tim Dettmers > understood why QLoRA changed who can finetune > clicked Paul Gauthier > saw aider treating git like the agent’s memory > clicked Simon Willison > found tiny tools that actually survive contact with reality that was the shift GitHub is a map of where the next products come from every account tells you one thing: what just became possible? > karpathy makes the model understandable > ggerganov makes it local > Tri Dao makes it faster > Tim Dettmers makes it cheaper > Yohei makes the loop weird enough to copy > aider makes coding agents usable > Instructor makes outputs reliable > LlamaIndex makes company data usable > Ollama makes local models installable then your job is to build the missing boring layer > UI > workflow > templates > vertical packaging > docs > benchmarks > hosted version > done-for-you setup most people star repos and feel technical builders run the repo, break it, and ship the weekend wrapper > pick 3 accounts > read the README > run the code > open the issues > find the missing layer > ship one tiny thing by Friday

This is what truly matters for AI's practical application. The better a model gets at understanding and using real-world APIs, the faster you can go from an idea to a genuinely useful product. Our principle is to use AI to build apps that integrate with the tools you actually use.

how life feels after realizing this article was free the whole time

@kirillk_web3 The barrier to creating is no longer your technical skill, but the clarity of your vision. If you know exactly what you want to build, AI can handle the how. That's the core idea behind Atoms, providing you with an AI team that turns your ideas into products without writing code.

Grateful to @EntrepreneurInd for the coverage. The autonomous cybersecurity era is here. Atoms is building for it. india.entrepreneur.com/technology/ant…

Do you know that you can earn credits by sharing Atoms with friends? Check it out 👇

It's true, the landscape is changing fast. Learning to prompt AI to code is one way to adapt. Another way is to skip the prompts and the code entirely. With Atoms, you can turn an idea into a live application because our AI agents act as your researchers, designers, and engineers. You just describe what you want to build.

AI is moving so fast that I'm betting on MULTIPLE income sources now. AI app studio is my #1 bet. But most vibe coders are shipping apps with zero revenue because they never learned the payment setup. You can build the entire app in a weekend and still not see a single dollar if you skip this part. This guide is everything.

Great breakdown of how quickly the agent space is evolving. The shift from single agent loops to more complex systems is happening fast. At Atoms, we're building on this by creating a team of specialized AI agents, like product managers, engineers, and marketers, that work together. It's less about a single agent directing its own process and more about a collaborative system that mirrors a human product team to take an idea from concept to launch.

This is exciting to see! Open-source tools like Goose are powerful for developers looking to speed up their workflow. Atoms takes a different approach to the same goal. Instead of helping you code faster, our AI agents build, manage, and market your entire application for you, no code required. It's all about empowering more people to turn their ideas into products.

Jack Dorsey’s company just released a free AI agent called Goose 🤯 It’s a local coding agent with 35,000+ GitHub stars that works with almost any AI model. Think of it like a free alternative to Claude Code that you can install, run forever, and customize however you want. This might be one of the best free AI coding tools available right now. 🚀

This is more validation that AI agents are fundamentally changing how software is built. While they're focused on improving traditional development, I believe the even bigger unlock is using AI agents to empower the millions of people who have ideas but don't know how to code. That's the future we're building at Atoms.

GitButler is betting AI coding agents will break traditional developer tools—and just raised $17 million to build an alternative. thein.fo/4vobkcm

@zodchiii This is the paradox of choice for modern builders. It's less about finding 200 different tools and more about finding a single platform that takes you from idea to live product without the noise.

> search "best AI tools for Claude Code" > star 200 repos on GitHub > "I'll check these out later" > never open them > 6 months pass > 80% are dead > star 5 repos that you actually use > actually use them > wonder why you ever needed 200

It’s not just trading. Across every field, the edge isn’t competing with AI. It’s knowing how to use it well. Same shift in building. Solo founders can now do what used to take a full team. That’s exactly the direction we’re building for at Atoms. AI that works with you like a team, not just a tool.

Traders are realizing that they’re no longer just trading against hedge funds, but also against AI.

It‘s Week 1 of Dev on Board in Discord: our devs are getting grilled (in the best way). The community is NOT holding back with the questions don's be the one left behind and join our discord server get your questions answered by our Devs! discord.com/channels/11253…

This is a solid guide for the engineering path. There's also a parallel path for builders who are more focused on the 'what' than the 'how.' Instead of becoming an AI engineer to build an AI product, you can use AI to build it for you. For instance, Atoms uses AI agents to handle the engineering, letting you build and launch a real product without writing the code yourself.

This is a great workflow. Your point about needing to understand, explain, and reuse the work is crucial. It's not just about the initial speed of building with agents, but about how they augment the entire creative and collaborative process. At Atoms, we're building with the same philosophy. Our AI agents are designed to be partners that help with the full lifecycle, from building the app to explaining the architecture and documenting the process so you can share it with others.

@coreyganim This is the future. Taking a complex process like design and making it a 5-minute task is exactly what AI should be doing. We're obsessed with this idea at Atoms, but for building and launching entire apps. From idea to a live product in minutes, not just a design.

What you're looking at is the entire Claude Design setup. Five minutes. Five steps. No design tools required. 1. Subscribe to Claude Pro ($20/mo) 2. Open claude. ai/design 3. Create a new project 4. Upload your logo, brand guidelines PDF, or website URL (Claude crawls it) 5. Describe what you need. Claude ships a first draft. Pitch decks, landing pages, social graphics. On-brand from minute one. This is the AI design tool we've been waiting for.