- Choose the "Logo" category.
- Click the button confidently.
- Let your creativity flow with these prompts:
- Pug dog
- City Melbourne
- Japanese Weather
- Cute eyes
Now, click on "Generate".
3. Customize the logo:
- Click to modify it.
- Make desired changes.
- Use multiple edit options.
4. Save Your Logo Design
- Make your tweaks and ensure you're happy with the logo.
- Locate the "Export" button.
- Download your logo.
BREAKING: Someone quietly built the first AI assistant that runs on a $5 chip.
It’s called MimiClaw and it's a full @OpenClaw style agent running on an ESP32 microcontroller without @Linux
It’s built with local-first memory and privacy by default.
No Linux. No Mac mini. No Raspberry Pi. No VPS.
100% Opensource. MIT License.
The setup is wild:
→ ESP32-S3 board ($5-8)
→ No Linux
→ 16MB flash, 8MB PSRAM
→ 0.5W power draw (runs 24/7 off USB)
→ Talks to you through Telegram
→ Uses Claude's API with full tool use (ReAct agent loop)
That's a full AI assistant for less than a coffee.
But the memory system is what makes this insane.
It stores everything as plain text files on the chip's flash:
- SOUL .md → the bot's personality
- USER .md → your preferences
- MEMORY .md → long-term memory across reboots
- Daily notes + full chat history
I reverse-engineered how top consultants at McKinsey, Goldman Sachs, & JP Morgan use it.
The difference is night and day.
Here are 12 insane Claude Opus 4.6 prompts they don't want you to know (Save for later)
1. Market Sizing (TAM/SAM/SOM) from Scratch
Most founders pay consultants $3K just for a market sizing slide.
Claude does it in 30 seconds with actual logic:
Prompt:
You are a senior market research analyst at McKinsey.
Calculate the TAM, SAM, and SOM for [YOUR PRODUCT/SERVICE] in [TARGET MARKET].
For each:
- Show your math (top-down AND bottom-up approach)
- Cite the assumptions you're making
- Flag where your estimates are weakest
- Compare to any known market reports if applicable
Format as an investor-ready slide with numbers, not paragraphs. If my market is smaller than I think, tell me now.
2. Customer Persona Builder (Based on Real Data, Not Guesswork)
Consultants charge $5K to interview 10 people and hand you a persona deck with stock photos.
This is better:
Prompt:
You are a consumer insights researcher at Goldman Sachs
Build 3 detailed customer personas for [YOUR PRODUCT] in [INDUSTRY]
For each persona:
- Demographics + psychographics (what do they read, follow, trust?)
- Buying trigger: What event makes them Google your solution?
- Decision process: Who else influences their purchase?
- Objections: What's their #1 reason to say no?
- Exact phrases they'd use to describe their problem (for ad copy)
- No generic "35-year-old marketing manager" personas
- Base everything on behavioral patterns, not demographics
- Each persona should suggest a different acquisition channel
Holy shit... your AI agent can now make real phone calls.
It's called ClawdTalk and it gives any Clawdbot or OpenClaw agent an actual phone number.
Not browser audio. Not a chatbot. Real calls over real telephony infrastructure.
Sub-200ms latency.
Here's why this changes everything: 🧵
Your agent can execute tools MID-CONVERSATION.
That means while it's on a live phone call, it can:
→ Book appointments
→ Pull customer data
→ Trigger workflows
→ Process orders
All while talking to a real human on a real phone line.
This isn't a demo. This is production-ready.
The specs that matter:
• Sub-200ms latency (feels like talking to a human)
• Make AND receive calls, inbound + outbound
• SMS support, 2-way texting from the same number
• Works with Clawdbot and OpenClaw agents out of the box
5-minute setup. Install the skill, plug in your agent, go