Create and deploy serverless AI agents in the cloud. We continue to build our token utility and team regardless of market conditions.
$SNAI is seriously undervalued
$SNAI will hit new all-time highs soon. In my opinion, $SNAI is the best AI project out there with utility being adopted by large companies and will soon reach $100M and then $1B market cap. We are way early guys, enjoy!
The price is currently trading at $0.0195, showing a solid bullish momentum on both the 4H and daily charts. The key resistance at $0.0205 is being tested, and a breakout with volume confirmation could trigger a strong rally.
Main targets to watch:
$0.0316 – local resistance
$0.0600 – previous high
$0.085 – major historical zone
Support levels: $0.0165 (short-term), and $0.0088 (major support).
RSI on both timeframes is nearing the overbought zone (around 70), suggesting potential for a short-term pullback. However, momentum remains in favor of the bulls.
Trading idea: Buy on a confirmed breakout above $0.0205. Stop-loss: below $0.0165. Watch for volume spikes and candle confirmations.
Overall outlook: bullish with healthy momentum – consider partial profit-taking on sharp moves.
Most people don’t realize that $SNAI stands out from other projects because it’s developed by someone with real, long-term experience in the AI field. A quick look at the developer’s LinkedIn profile shows a strong track record, including previous roles directly tied to artificial intelligence. This isn’t just another hyped-up crypto project—it’s being built by someone who truly understands the technology. That kind of background is a clear sign that $SNAI is here to stay and will continue evolving. In a space full of empty promises and inexperienced teams, $SNAI is a rare and trustworthy opportunity.
$SNAI is solving one of the biggest pain points in AI development by making deployment simple and cost-effective. Serverless infrastructure removes complexity while plug-and-play AI tools make adoption easier.
With AI cycle momentum building and adoption on the rise, $SNAI stands out as a serious infrastructure play with strong upside potential. If you are looking for a project that is actually building the foundation for AI, this is one to keep on your radar.
Financial Advisor Agent Template is now live on SwarmNode. Analyze historical stock data, spot trends, and get insights faster - Solid starting point for building your own financial assistant. …
$SNAI is solving one of the biggest pain points in AI development by making deployment simple and cost-effective. Serverless infrastructure removes complexity while plug-and-play AI tools make adoption easier.
With AI cycle momentum building and adoption on the rise, $SNAI stands out as a serious infrastructure play with strong upside potential. If you are looking for a project that is actually building the foundation for AI, this is one to keep on your radar.
$SNAI is solving one of the biggest pain points in AI development by making deployment simple and cost-effective. Serverless infrastructure removes complexity while plug-and-play AI tools make adoption easier.
With AI cycle momentum building and adoption on the rise, $SNAI stands out as a serious infrastructure play with strong upside potential. If you are looking for a project that is actually building the foundation for AI, this is one to keep on your radar.
AI narratives are heating up fast, and $SNAI is quietly positioned to be one of the biggest winners.
Over 35,000 holders are already in, and while the market stays red, a rotation feels just around the corner. This could be one of the best moments to pay attention.
But here’s the thing. Many people still don’t fully understand what @swarmnode and $SNAI actually do.
Here’s the simple version.
Imagine you want to build an AI agent. Maybe it’s a stock researcher that tracks tickers and delivers insights around the clock. Normally, you would need cloud servers, backend infrastructure, scaling, monitoring, and database management just to get started.
$SNAI removes all of that.
It works like AWS Lambda but is built specifically for AI agents. You can deploy Python scripts without worrying about servers. Focus on your logic, and let the platform handle the rest.
@swarmnode offers serverless execution so there is no infrastructure to maintain. Agent chaining allows AI agents to trigger one another and create complex automated workflows using Swarm tech. Everything is orchestrated through API or SDK, making automation feel as easy as working with tools like Airflow or Zapier. The pay-as-you-go model keeps compute costs efficient and predictable.
Zapier integration connects your AI agents to more than 7,000 applications, making the platform flexible for both developers and businesses.
There is a lot more coming. Built-in data storage will let agents store and share key-value data. Task scheduling will automate recurring jobs like nightly analysis or data processing. The agent library and marketplace will offer ready-to-use AI agents and foster community-driven growth. Today, the platform supports Python, with Rust, Go, and TypeScript integrations on the roadmap to expand developer access even further.
AI narratives are heating up fast, and $SNAI is quietly positioned to be one of the biggest winners.
Over 35,000 holders are already in, and while the market stays red, a rotation feels just around the corner. This could be one of the best moments to pay attention.
But here’s the thing. Many people still don’t fully understand what @swarmnode and $SNAI actually do.
Here’s the simple version.
Imagine you want to build an AI agent. Maybe it’s a stock researcher that tracks tickers and delivers insights around the clock. Normally, you would need cloud servers, backend infrastructure, scaling, monitoring, and database management just to get started.
$SNAI removes all of that.
It works like AWS Lambda but is built specifically for AI agents. You can deploy Python scripts without worrying about servers. Focus on your logic, and let the platform handle the rest.
@swarmnode offers serverless execution so there is no infrastructure to maintain. Agent chaining allows AI agents to trigger one another and create complex automated workflows using Swarm tech. Everything is orchestrated through API or SDK, making automation feel as easy as working with tools like Airflow or Zapier. The pay-as-you-go model keeps compute costs efficient and predictable.
Zapier integration connects your AI agents to more than 7,000 applications, making the platform flexible for both developers and businesses.
There is a lot more coming. Built-in data storage will let agents store and share key-value data. Task scheduling will automate recurring jobs like nightly analysis or data processing. The agent library and marketplace will offer ready-to-use AI agents and foster community-driven growth. Today, the platform supports Python, with Rust, Go, and TypeScript integrations on the roadmap to expand developer access even further.