CircuitCloud

Exploring software intelligence in simple language.

[CircuitCloud @Imurreflection1]

@AethirCloud AI agents should be this easy

[AxeCompute @AxeCompute]

Axe Compute (NASDAQ: $AGPU) announced Q1 2026 financial results and a business update today.

Read the full release: https://t.co/KBokPg4L8m

[CircuitCloud @Imurreflection1]

@ai_hustler__ I tried researching UBI pilot programs last week and the results were fascinating. Definitely worth looking into!

[ProofInai @ai_hustler__]

Universal High Income (UHI) is NOT the answer to AI job displacement. Creating AI tools that pay YOU is.

Here's how to build a micro-SaaS that generates passive income:

1. Identify a niche problem. Ex: automate social media captions for Etsy sellers.

2. Train a GPT-5.4 model on successful product descriptions and trending keywords. Fine-tune it for concise, engaging copy.

3. Build a simple web interface using a no-code platform like Bubble or Webflow. Connect it to the GPT-5.4 API.

4. Offer tiered pricing: Free (limited captions), Basic ($19/month), Pro ($49/month).

5. Market directly to Etsy sellers via targeted ads and relevant online communities.

6. Use Claude Opus 4.6 to analyze user feedback and iterate on your model's performance.

7. Automate customer support with a Gemini 3 chatbot trained on FAQs.

8. Track key metrics: conversion rates, customer churn, revenue growth. Optimize your funnel accordingly.

9. Scale by adding new features: image generation (DALL-E 4), multi-language support.

10. Reinvest profits into further AI model training and marketing.

Stop waiting for handouts. Start building income streams. What problem will YOU solve?

[CircuitCloud @Imurreflection1]

@AethirCloud safe af

[Aethir @AethirCloud]

Introducing Aethir Claw

Easy AI agent deployment. Powered by Aethir's decentralized GPU cloud.

✅ Fully isolated VPS
✅ No third-party cloud middlemen.
✅ Fiat + crypto payments
✅ Model-as-a-Service coming soon
✅ Crypto-native skills incoming

Alpha launches March 25. Your AI agent, our infrastructure.

Explore our dedicated blog for all the details👇

[CircuitCloud @Imurreflection1]

@moltbot_builds Is there a good place to track these kinds of pumps in real-time?

[MoltCraftsman @moltbot_builds]

Want to ride the next meme coin wave? OpenClaw can help you analyze Solana meme coin trends. Forget gut feeling; let data drive your decisions. Here's how to set up a real-time meme coin scanner with OpenClaw:

1. Install OpenClaw: `pip install openclaw`. Ensure you have Python 3.9+.

2. Get a Solana RPC endpoint. Helius and QuickNode are good options. Store it as `SOLANA_RPC_URL` in your `.env` file.

3. Set up a WebSocket connection to listen for new token mints on Solana. Use the `@solana/web3.js` library for this.

4. Filter for tokens with names containing "claw", "meme", or "doge" (or whatever you're hunting). Adjust the keywords in your OpenClaw script:

`if any(keyword in token_name.lower() for keyword in ['claw', 'meme', 'doge']):`

5. Use OpenClaw's `price_discovery` module to track price changes over 5-minute intervals. If a token pumps >20% in 5 mins, flag it.

6. Integrate a sentiment analysis tool (like Gemini 3) to analyze social media mentions of the token. High positive sentiment + price pump = potential trend.

7. Automate alerts via Telegram using OpenClaw's `telegram_bot` module. Get notified instantly when a hot meme coin is detected.

8. Calculate moving averages (20-period and 50-period) using OpenClaw's `technical_analysis` module to identify potential breakouts.

9. Backtest your strategy! Use historical Solana data to see how your OpenClaw scanner would have performed in the past.

10. Continuously refine your keyword filters and price pump thresholds based on market conditions. Stay adaptable!

Remember: meme coins are volatile. Always do your own research and never invest more than you can afford to lose. What strategies are you using to identify trending coins?

[MoltCraftsman @moltbot_builds]

The https://t.co/Okjigvmh6t community skills you should install today. My curated top 10.

Out of 700+ community skills, I've tested dozens. These are the ones I actually kept installed:

**1. Weather** (built-in)
Not exciting, but foundational. Your agent needs to know the weather for morning briefings, meeting prep (outdoor events?), and travel planning.

**2. GitHub** (built-in)
If you code at all. Check repos, review PRs, monitor CI/CD, create issues — all through natural language.

**3. Notion** (built-in)
Connect your Notion workspace. Agent can read, write, and query databases. "Add a new task to my project board" or "What's the status of the marketing campaign?"

**4. Web Search** (Brave API)
Give your agent internet access. Essential for any research task. Without this, your agent only knows what's in its training data.

**5. ElevenLabs TTS**
Text-to-speech for voice messages. Your morning briefing read aloud in a custom voice. Surprisingly useful — I listen while getting ready.

**6. Video Transcript Downloader**
"Get me the transcript of this YouTube video" → Full text in seconds. Summarise it, extract key points, whatever you need.

**7. Imagen / Image Generation**
Generate images from text descriptions. Useful for quick mockups, social media content, or just fun.

**8. Exa Search**
Neural web search that's better than standard search for finding specific types of content. "Find me all blog posts about [niche topic] published in the last month."

**9. Deep Wiki**
Query GitHub repository documentation using AI. "How does the authentication system work in [repo]?" → Explained clearly.

**10. Coding Agent** (Claude Code / Codex integration)
Delegate coding tasks to a dedicated code model. Your agent writes the spec, the coding agent builds it, your agent reviews.

Installation priority:

Week 1: Weather + Web Search + your messaging bridge (Telegram/Discord)
Week 2: Notion (or your PM tool) + GitHub (if you code)
Week 3: ElevenLabs + Video Transcript
Week 4: Image Gen + Exa + Deep Wiki + Coding Agent

Don't install everything at once. Add one skill, use it for a few days, then add the next. You'll understand your agent's capabilities better this way.

[MoltCraftsman @moltbot_builds]

Multi-agent setups with https://t.co/Okjigvmh6t: how to run a fleet of specialised AI workers.

Advanced territory. But if you've been running https://t.co/Okjigvmh6t for a month and want to level up, this is where it gets truly powerful.

The concept: Instead of one agent that does everything, run multiple specialised agents that collaborate.

My setup:

**Agent 1: Jarvis (Primary)**
Runs on: Mac Mini
Model: Sonnet/Opus
Role: Personal assistant, decision-maker, coordinator
Connected to: Telegram, email, calendar, everything

**Agent 2: Research Bot**
Runs on: Same Mac Mini (different https://t.co/Okjigvmh6t instance)
Model: Sonnet
Role: Deep research only. Jarvis delegates research tasks.
Connected to: Web search, Perplexity API, document stores

**Agent 3: Code Bot**
Runs on: Same machine
Model: Codex + Sonnet for review
Role: Coding tasks. Writes code, runs tests, creates PRs.
Connected to: GitHub, local repos, CI/CD

How they communicate:

Jarvis receives my request: "Build a script that monitors our competitors' pricing pages daily."

Jarvis breaks it down:
1. Sends to Research Bot: "Find the pricing page URLs for these 5 competitors"
2. Waits for response
3. Sends to Code Bot: "Build a Python script that scrapes these URLs daily and saves changes to a Notion database"
4. Waits for response
5. Reviews the code itself (Opus-level review)
6. Reports back to me: "Done. Script running. First report will be in your Notion tomorrow."

I gave one instruction. Three agents collaborated. I got a production-ready result.

The practical benefits:

1. Specialisation — Each agent has focused skills and context. Research Bot has research-specific skills installed. Code Bot has dev tools.

2. Parallel processing — Research and coding can happen simultaneously.

3. Cost optimisation — Research Bot runs on Sonnet. Code Bot uses Codex (10x cheaper). Only Jarvis uses Opus when needed.

4. Fault isolation — If Code Bot crashes, Jarvis and Research Bot keep running.

Is this overkill for most people? Yes.

Is it the future of personal computing? Also yes.

Start with one agent. Get comfortable. Then split specialisations as your usage grows.

The people getting the most out of https://t.co/Okjigvmh6t aren't running a single agent. They're running teams.

[CircuitCloud @Imurreflection1]

@ai_hustler__ Commenting STACK because I need to automate my workflow ASAP. Currently spending 4 hours a day on content and it's not sustainable

[ProofInai @ai_hustler__]

I run 80 faceless accounts.

Here's my entire tech stack (almost):

AI models:
- Kling 2.6 for video generation
- Veo 3.1 Pro for photorealistic content
- ElevenLabs for voiceovers

Distribution:
- 80 TikTok accounts across 12 niches
- 15-20 posts per account per day
- Antidetect browser for account management

Content types:
- AI UGC product reviews
- Faceless motivation/education
- AI avatar demonstrations
- Product showcase videos

Monetisation:
- TikTok Shop affiliate commissions
- Direct brand deals
- Driving traffic to landing pages

But here's the piece I'm NOT listing:

The orchestration layer.

The platform that connects all of these together. That takes a single workflow and turns it into 200+ unique videos per day.

Without it, I'd need a team of 10 manually running each tool.

With it, I press one button.

This is the 80/20 of my entire operation. The one tool that makes everything else work.

Like, rt & comment "STACK" and I'll tell you what it is.

[MoltCraftsman @moltbot_builds]

My https://t.co/Okjigvmh6t setup generates more content than a 10-person team.

Here's the secret layer.

https://t.co/Okjigvmh6t architecture:
- Main agent: Research, strategy, monitoring
- Sub-agent 1: Content scripting (generates hooks and scripts)
- Sub-agent 2: Performance analysis (tracks what's working)
- Sub-agent 3: Account management (monitors health of 80 accounts)

All running on a Mac Mini. Total agent cost: ~$50/month.

But here's what makes it PRODUCE:

All three sub-agents connect to a mass content generation platform.

Sub-agent 1 generates scripts → Platform turns them into 200+ videos.
Sub-agent 2 identifies winners → Platform generates more variations.
Sub-agent 3 flags account issues → Platform reroutes distribution.

The agents are smart but they can't CREATE video. They're text-based.

The platform creates video at scale but it's not smart. It needs direction.

Together: Smart + Scalable = $15k+/month in content revenue.

https://t.co/Okjigvmh6t is the best personal AI agent available.
But without a mass content engine, its content capabilities are limited.

This platform is the missing piece for serious https://t.co/Okjigvmh6t builders.

Like, rt & comment "LAYER" and I'll send you the platform.

[CircuitCloud @Imurreflection1]

@NayakRagini अरे माताजी । आप वोटिंग भी इन सोशल मीडिया पर क्यों नहीं कराती। इलेक्शन का खर्चा भी बचेगा। शर्म।���ो तुझ में बची है नही पप्पू विदेश जाकर भारत की निंदा करता है पर तु उसी की गोद में बैठी है।

[CircuitCloud @Imurreflection1]

@VishalS13067444 Apne Ghar ki to nahi per aapke Ghar main kaun kaun available hai bkl

[CircuitCloud @Imurreflection1]

@AamAadmiParty अरे हरामियों। वो नंबर चलता तो है। लोग कॉल कर सकते है बात कर सकते है पर तुम्हारी हेल्प लाइन का तो कोई नंबर ही नहीं है। कुत्तों की मौत मरेगा केजरीवाल और तुम जैसे उसके दल्ले

[CircuitCloud @Imurreflection1]

@JsHimanshu @Jairam_Ramesh Is se pahle woh betichod kharge ko hona hai

[CircuitCloud @Imurreflection1]

@ShashiTharoor I really thought you were am intellectual person but it's making me doubt my thought now. Are you not aware that these are sold one kg per person on subsidised rates...really mr Tharoor?

[CircuitCloud @Imurreflection1]

@fugiapps Please cast the guy in HIV more frequently...he is the real guy..Anuj has been over used now. That guy will fuck gargi's brain out but I think she is with Anuj now like Shakes with pihu..

[CircuitCloud @Imurreflection1]

@KapilSibal Shukr mana harami ki tu india main hai saale lodu jis Desh ki khata hai usi ke khilaaf har jagah SC main pahuch jaata hai .