Don't waste your time on ChatGPT for writing blogs.
Introducing Hashnode AI - the most advanced AI for writing blogs.
Here's how to use it to make your writing easier and faster:
@hashnode is my personal favourite platform for writing blogs and technical articles.
They just introduced Hashnode AI.
A new AI feature that uses GPT-4 to provide excellent AI support for creating content and writing Blogs.
I personally love this feature for many reasons:
1. I can simply write down my thoughts, and this AI will easily turn long paragraphs into easy-to-scan bullet points.
2. Another thing that I love is that we can easily access it right within the writing editor.
3. I also enjoy using the SEO optimisation features.
It's much easier to use the chatbot to alter my paragraphs so they are SEO optimized than to spend hours finding the right phrases and including them in my writing.
Hashnode AI can help non-native English writers improve their writing and feel more confident when publishing their work.
It can detect and correct common grammatical errors, suggest better words or phrases, and make the writing easier to read.
To use all of the great AI tools that come with Hashnode Pro!!
Holy shit... Someone just built the ultimate prompt collection for AI image creators.
It's called MeiGen, it scrapes the hottest prompt posts from X every week and curates them in one place.
No more bookmarking 50 tweets. No more losing that prompt you saw 3 days ago.
100% free. 100% Open Source.
Here's the problem MeiGen solves:
The best AI image prompts live on X.
But they're buried in your bookmarks, your likes, your "I'll come back to this" pile that you never come back to.
MeiGen pulls the hottest ones weekly curated, organized, searchable.
What you get:
→ Weekly curated prompts trending on X (real engagement, not random)
→ Filter by model like NanoBanana Pro, GPT Image, Midjourney
→ One-click generate + save to your collection
→ Real view/like counts so you know what actually performs
No API keys. No dashboard switching. No glue code.
Just typed what I wanted and Claudcode + SkillBoss executed the entire thing.
Here's the breakdown: 👇
Most AI setups look like this:
→ ChatGPT tab for writing
→ Midjourney for images
→ Runway for video
→ Zapier to connect them
→ 4 API keys you'll inevitably break
→ 2 hours wasted before you even start
RIP to every dev team charging $50K to build an internal dashboard.
UI Bakery just made every internal tool your dev team ever built look like a waste of time.
It's called UI Bakery, it builds and deploys a fully functional internal app in 2 minutes.
No sprint. No Jira ticket. No engineer bottleneck.
Here's how: ↓
Here's what it actually does:
→ Connect to 45+ databases (Postgres, MySQL, MongoDB, Snowflake, Redis, OpenAI...)
→ Describe the app you want in plain language
→ AI Agent generates and deploys a fully functional app
→ 2 minutes. Production-ready. SOC 2 compliant.
Not a prototype. A real app on live data.
The features that actually matter:
- 80+ pre-built React components use anything, no restrictions
- One-click deploy with auto-scaling, SSL, CDN included
- Built-in RBAC, audit logs, MFA enterprise security out of the box
- Self-host option for air-gapped environments
- React code export zero vendor lock-in. Ever.
🚨BREAKING: The open-source Alexa killer just dropped.
It's called OpenHome, a smart speaker dev kit you can run AI agents on.
No Amazon. No Google. No vendor lock-in. Your data stays local.
100% Opensource.
OpenHome @OpenHome runs on Raspberry Pi 4 (8GB RAM) with:
→ Far-field AEC mic array (hears you across the room)
→ Full-range speaker with deep bass
→ Local LLMs + local STT/TTS (fully offline capable)
→ Smart home control via Matter/Thread & MQTT
Your agent finally has ears, a voice, and a home.
Every AI agent today is stuck in a chat window.
OpenHome gives it a physical body.
Vibe code voice abilities in 10 minutes with the Ability Editor.
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