Sabitlenmiş Tweet
NodeOps
4.3K posts
NodeOps
@NodeOpsHQ
NodeOps brings AI creation and real economics together via CreateOS. Three powerful layers. One unified workspace.
Katılım Nisan 2023
108 Takip Edilen46.7K Takipçiler
Weekly $NODE burn executed
Latest economic metrics:
→ Mint (7d): 307,305.12 $NODE
→ Burn (7d): 1,536,525.61 $NODE
→ Net supply change: -1,229,220.49 $NODE
→ Mint ratio (r): 0.2
→ Fully trackable: transparency.nodeops.network
Have a great weekend, builders!
English
@naman_307 @rohitmal Congratulations on joining NodeOps, @rohitmal.
A huge addition to the team. It's incredibly exciting to see the depth of experience you're bringing to scale @NodeOpsHQ.
English
NodeOps retweetledi
New face at @NodeOpsHQ 🤝
@rohitmal joins us to scale CreateOS enterprise Partnerships and Growth.
Scaled a vertical at OYO from 0 to $1M ARR in under a year. Closed £2.5M+ at HYBR. Also hosts a 400+ episode podcast where he has grilled Guy Kawasaki and James Clear.
Building something? He wants to hear from you
English
4/
UNO for X workflows. Research, drafting, scheduling, and engagement handled by the right specialist agent for each step.
x.com/saurra3h/statu…
Saurabh | NodeOps@saurra3h
asked my agent to research and create a post reviewed it once, approved it, and it posted on X can your agents do that? try here: uno.nodeops.network
English
3/
UNO in action for marketing. Specialist agents handling copy, design, and strategy in one thread. One request. One reply.
x.com/sp_archer_007/…
sagar.node@sp_archer_007
I asked an AI agent inside UNO to build a competitive analysis report. UNO vs ChatGPT vs Notion AI. The kind of task that usually eats half a day - structuring sections, picking colors, building a comparison table that doesn't look thrown together. One prompt later: a fully designed PDF. Structured sections. Color-coded layout. A comparison table that actually compared the right dimensions. Ready to present. Not "ready to rebuild in Canva first." I think about infrastructure for a living. This is the same shift I keep writing about - agents going from answering questions to completing the actual task. One thread. One file. Done. What's the first report you'd hand off to a marketing agent?
English
Built in 45 days, with the whole lot of feature set. For context, a team of ex-Netflix engineer took roughly 10 months to reach the similar stage
prompts to team and @bhautiktweets
x.com/pratikbin/stat…
NodeOps Network@BuildOnNodeOps
Your AI agent is writing code nobody reviewed and running it on your machine. Most teams answer "where does it run" with a container and a hope. Introducing CreateOS Sandbox. Run code you cannot trust, with the networking, egress control, and self-hosting you need. 🧵
English
This is precisely why we created UNO.
One prompt, one agent, delivering a complete, professionally crafted competitive analysis report ready for presentation.
It marks the transition from basic chatbots to effective agents that deliver tangible results.
sagar.node@sp_archer_007
I asked an AI agent inside UNO to build a competitive analysis report. UNO vs ChatGPT vs Notion AI. The kind of task that usually eats half a day - structuring sections, picking colors, building a comparison table that doesn't look thrown together. One prompt later: a fully designed PDF. Structured sections. Color-coded layout. A comparison table that actually compared the right dimensions. Ready to present. Not "ready to rebuild in Canva first." I think about infrastructure for a living. This is the same shift I keep writing about - agents going from answering questions to completing the actual task. One thread. One file. Done. What's the first report you'd hand off to a marketing agent?
English
This is what end-to-end agentic execution looks like.
@saurra3h asked the agent to research beui.dev, write a sharp tweet about common web animation mistakes.
He reviewed it, approved it, and then the agent posted it live on X.
This is the new standard.
Saurabh | NodeOps@saurra3h
asked my agent to research and create a post reviewed it once, approved it, and it posted on X can your agents do that? try here: uno.nodeops.network
English
Agreed. Chunky pauses break the illusion. Smooth streaming makes the agent feel like it is thinking with you, not waiting for you.
UNO was built around that principle.
Jagdish.node@JagdishChudas15
Streaming isn't just about showing tokens as they arrive. Raw streaming feels jittery, choppy, and full of pauses. Smooth streaming makes every token flow naturally, creating an experience that feels fast, responsive, and alive. Tiny detail. Huge difference in feel. Flow, not friction. Try uno.nodeops.network.
English
4/
GoalCast is trending and going strong.
A prediction app built on CreateOS where users can make match predictions, earn points, and climb the leaderboard.
goalcast.createos.sh
English
3/
Weekly $NODE BURN executed
x.com/NodeOpsHQ/stat…
NodeOps@NodeOpsHQ
Weekly $NODE burn executed Latest economic metrics: → Mint (7d): 30,242.13 $NODE → Burn (7d): 151,210.63 $NODE → Net supply change: -1,20,968.5 $NODE → Mint ratio (r): 0.2 → Fully trackable: transparency.nodeops.network Have a great weekend, builders!
English
@AnuragShar74342 Thanks for the shoutout, Anurag!
We built UNO specifically to get rid of that 'config hell' and let founders focus on shipping. Great to hear the quick-start templates are hitting the mark for you
English
NodeOps retweetledi
UNO might be the cleanest "AI team in one place" execution I've seen so far.
Deployed mine in under 2 minutes — no card wall, 200 free credits, straight into "your team is deployed." The Add Agent flow is dead simple: plain language, quick-start templates, a 218-agent library if you don't want to start from scratch.
Most multi-agent tools feel like config hell. This doesn't.
Connect once, every specialist gets the tool. Per-model cost tracking. Telegram support out the gate. This is what founders actually need instead of 12 browser .
NodeOps Network@BuildOnNodeOps
Most AI tools make you pick the model, pick the tool, then stitch the output together yourself. UNO doesn't. One chat. A team of AI specialists behind it. You ask in plain language. It routes the work, pulls in the right specialist, and hands back finished files.
English
👏🏻👏🏻
@ShubhamSharma_8 built with the Legal Compliance agent named "Casey" inside UNO.
One Word doc, cover page, TOC. Ready for a lawyer.
This is what specialized agents inside UNO can do. Pick one or let the orchestrator route your request to the right specialist.
Shubham Sharma@ShubhamSharma_8
I asked UNO to build a legal compliance dashboard for a SaaS product. I typed the specialised UNO agent name, "Casey," and described what I needed in one sentence. A few moments later, Casey handed me a Word document named SaaS AI Compliance Pack. Cover page (check ✅) Table of contents (check ✅) Section dividers (check ✅) All in one file. The whole thing was structured well enough that I could hand it to a lawyer for review without rewriting the format first. One prompt. One thread. One file. The video shows the full flow from typing the request to scrolling through the final document. Watch it. What would you ask a legal agent to draft first?
English