nexflow is like lego, just wire up modules. like this workflow i cooked up:
- automatically pulls latest project funding rounds (yesterday/today)
- includes round, amount, investors, and project URL
- forwards to a designated tg channel
all about spotting those potential opportunities early
@gen_impressions has like ~930 github stars and ~173 forks
n8n has ~133k stars and ~41k forks
think about that for a second. huge adoption runway ahead for us. 100x minimum.
what do you guys think $gen will do when that happens
the real magic of Nexflow is that anyone, even with zero coding background, can build workflows they actually need. no gatekeeping.
a dev’s greatness is creativity.
but the sum of creativity from people without coding knowledge is limitless.
nexflow is about turning creativity from finite → infinite.
MCP is really the core protocol for the AI era. think HTTP for the internet, but for AI.
it's a standardized 'dock' for AI models, apps, extensions.
fixes the whole AI lacking browsing/skills problem. before, it was M x N chaos. now? M + N simplicity.
the key: 'inversion of control'. providers expose capabilities once. integrators plug in easily. no more one-off wiring. big deal.
Introducing GoPlus-MCP.
The first AI-native security layer for Web3.
Now natively callable from @AnthropicAI Claude, @deepseek_ai, and other LLM clients supporting MCP.
A new way of thinking about Web3 security.
Try it now at https://t.co/eHQSx0ED6a
launching a token for an ai project is not the safe move. it’s the outlier move. and yes, we chose it on purpose.
full transparency on roadmaps, experiments, even failures. every token holder is a co-builder, sharing in the journey.
sure, volatility is real. the market can distract. but the long-term upside? that’s the point. this isn’t just another product. it’s a living ecosystem.
use. contribution. governance. rewards. that’s the loop. hoping this inspires other ai founders, especially web2 folks, to embrace the open road.
building Nexflow has been a journey of unlearning.
workflows weren’t meant to be rigid pipelines, they’re living systems.
we wanted to give them memory, adaptability, and eventually, agency. but getting here wasn’t easy.
traditional frameworks fight against flexibility; every change felt like breaking the whole chain.
we had to throw away assumptions, rewrite runtimes, and rethink what “state” even means in a distributed, agentic world.
there were moments when it felt impossible: when tools didn’t connect, when orchestration collapsed under its own weight, when “self optimization” was more theory than practice.
but each dead end forced us to strip things down and rebuild with first principles.
today’s launch is just the first step: turning automation into a canvas for intelligence. the road ahead is long — self-optimizing flows, fully agentic frameworks, but Nexflow is proof that workflows can finally evolve.
We’re launching Nexflow, the new workflow framework from General Impressions.
What does it mean for everyone?
Workflows are no longer fixed task chains. They can adapt and evolve, combining automation with agentic intelligence.
V1 is live with 56 tools for practical use cases (like SEO monitoring with Telegram alerts).
Next steps:
• Sep — self-optimizing workflows
• Oct — fully agentic framework with shareable AI nodes
Nexflow connects today’s automation with the agent-driven internet ahead.
top AI companies like openai, xAI, anthropic, databricks already worth ~1 trillion combined
roughly 1.8% of the us equity market
the future of the s&p 500 and the entire market could be heavily AI-dominated in just a few years. kinda wild to think about.