$DGC is growing organically. The future belongs to utilities that are actually used in everyday life — not empty hype. Once DeGPT becomes mainstream, Web2 users won’t want to use anything else. And Web3 users will look back and realize they found out about DGC too late.
$DGC “Dead coin? Interesting. On-chain holders are increasing, the network is active, the product is being used — but sure, dead, just because the price isn’t doing what you want right now. Market logic clearly isn’t everyone’s strength.”
$DGC On-chain holder numbers continue to grow steadily. No hype spikes, no sudden inflows — just consistent accumulation visible on-chain.
At the same time, DGC has been holding the 0.00000063 level for over three weeks. For a microcap, this kind of price behavior is not weakness. It indicates that selling pressure has largely been absorbed and that supply and demand are currently in balance. Rising holder counts combined with a defended price level create structure, not noise.
No promises, no hype — just on-chain data and price action showing consolidation before the next meaningful move.
- a real product focus (DeGPT) - actual usage instead of empty promises - an active and engaged community - an early stage with an asymmetric risk-reward profile
$DGC Unused #GPU capacity is still heavily underestimated. Real usage is already happening, and demand continues to grow. A large amount of compute remains idle and is not fully priced in yet. This isn’t driven by hype — it’s driven by real fundamentals and increasing utilization.
$DGC Since I first used DeGPT, the same question keeps coming up: why is there still no real competitor? The most straightforward explanation is the combination of deep technical expertise and clear product logic behind the DGC team and DeGPT.ai. Many platforms bundle multiple LLMs but stop at surface-level integration. DeGPT goes further and builds a well-thought-out system that works reliably across both Web2 and Web3 environments. This level of technical depth and solid execution is hard to replicate — and that’s what makes DeGPT truly unique.
$DGC The community is amazing — I enjoy reading your comments every day. We’re on the right path because the focus is on the DeGPT, not empty hype. If the product delivers, the price will follow. That’s just how it works.
The community is key – and the feedback we’ve been receiving is clear: active participation drives the project forward. On-Chain holders are growing daily, and important tasks like the #402 implementation are still underway. Once these are completed, marketing will likely start. Relying solely on the community carries risks – but the foundation is solid! 🚀
$DGC That’s exactly right. No hype. No shortcuts. Just building, shipping, improving — step by step. That’s how sustainable growth happens. That’s #DGC.
$DGC To everyone spending their time trash-talking DGC / DeGPT.ai: Are you bored — or do you just have way too much time? If you haven’t used it, tested it, or understood it, your opinion isn’t criticism — it’s noise. While you’re busy commenting, others are building, shipping, and improving. In the end, results speak louder than tweets.
“$DGC is about to go to zero.” Sure. Right after the next update. A project with real users, active development, and constant releases is supposedly “dying any minute now” - that’s what happens when wishful thinking replaces actual analysis. But hey, if you repeat “going to zero” often enough, being wrong starts to feel like consistency.
DeGPT.ai combines multiple AI models – GPT variants, DeepSeek, Qwen and more – in a single interface. Unlike other platforms, requests are processed on decentralized GPU nodes, reducing costs and improving efficiency. Node operators can participate, earn rewards, and help grow the network.
💡 It’s more than a multi‑LLM platform: it’s a decentralized AI orchestrator, bridging flexibility, performance, and Web3-ready infrastructure.
$DGC Funny how most of your posts are about scams. At some point, that stops being bad luck and starts being a pattern.If everything you touch turns into “fraud” afterwards, the problem isn’t the projects — it’s your decision-making. DGC was the exception. A rare moment where luck did the work for you.
$DGC DeGPT went from idea to daily utility. One interface. No switching. No copy-paste. No fragmentation. Web2 & Web3 users get reliable results — fast. Stop managing tools. Start using one. Try DeGPT.ai
$DGC Technically mature and always up to date across all integrated models. One platform instead of many — less time wasted, lower costs, better results. DeGPT removes a core inefficiency in AI workflows: switching between models. No copy-paste. No context loss. Shared memory keeps workflows consistent. One interface. Several integrated LLMs. Updates handled in the background. Data protection first — not a centralized model system.
Try degpt.ai. Use it once, understand the difference — and the investment decision becomes clear.
At first it was quiet. Then it got loud. Criticism followed. Doubts everywhere. And then came understanding. Today, $DGC is growing — and the same critics are asking: Why? The answer hasn’t changed. The DecentralGPT team understood early what users really need: one place, multiple LLMs, real efficiency. DeGPT is not hype. It’s a next-generation multi-LLM — built for the future.