Export LLM conversations as snippets
Shreyas Prakash
I often have deep conversations with AI assistants like ChatGPT and Claude, and want to share these insights with colleagues or include them in blog posts. But copying raw text from these interfaces produces bland, unformatted content that loses the conversational flow. Existing screenshot tools didn’t preserve the conversational format while allowing for text selection.
I’ve created ChatSnip, a browser extension that lets you export AI chat conversations as beautifully styled HTML snippets or well-formatted Markdown.
You can find the extension in the Chrome Web Store or check out the GitHub repository for the source code. ChatSnip helps users:
- Export conversations from multiple AI models (ChatGPT-4o, Claude 3 Opus, Gemini 1.5 Pro, etc.)
- Save in HTML format for web embedding or Markdown for documentation
- Automatically extract conversations from supported AI chat websites
- Create consistently styled chat bubbles with proper attribution
The extension offers a simple interface with automatic page detection and custom model name support.
Example output (HTML):
<div class="chat-container">
<div class="user-message">
<div class="avatar">You</div>
<div class="message">Can you explain how transformers work in machine learning?</div>
</div>
<div class="assistant-message">
<div class="avatar">Claude</div>
<div class="message">Transformers are a type of neural network architecture that revolutionized NLP...</div>
</div>
</div>
Installation via Chrome Web Store:
- Navigate to the ChatSnip extension page
- Click “Add to Chrome”
- Confirm the installation when prompted
Or load it as an unpacked extension:
- Clone the repository
- Run
npm installandnpm run build - Load the extension in development mode
ChatSnip makes sharing AI conversations simple while preserving their context and formatting.
Subscribe to get future posts via email (or grab the RSS feed). 2-3 ideas every month across design and tech
2026
2025
- Legible and illegible tasks in organisations
- L2 Fat marker sketches
- Writing as moats for humans
- Beauty of second degree probes
- Read raw transcripts
- Boundary objects as the new prototypes
- One way door decisions
- Finished softwares should exist
- Essay Quality Ranker
- Export LLM conversations as snippets
- Flipping questions on its head
- Vibe writing maxims
- How I blog with Obsidian, Cloudflare, AstroJS, Github
- How I build greenfield apps with AI-assisted coding
- We have been scammed by the Gaussian distribution club
- Classify incentive problems into stag hunts, and prisoners dilemmas
- I was wrong about optimal stopping
- Thinking like a ship
- Hyperpersonalised N=1 learning
- New mediums for humans to complement superintelligence
- Maxims for AI assisted coding
- Personal Website Starter Kit
- Virtual bookshelves
- It's computational everything
- Public gardens, secret routes
- Git way of learning to code
- Kaomoji generator
- Style Transfer in AI writing
- Copy, Paste and Cite
- Understanding codebases without using code
- Vibe coding with Cursor
- Virtuoso Guide for Personal Memory Systems
- Writing in Future Past
- Publish Originally, Syndicate Elsewhere
- Poetic License of Design
- Idea in the shower, testing before breakfast
- Technology and regulation have a dance of ice and fire
- How I ship "stuff"
- Weekly TODO List on CLI
- Writing is thinking
- Song of Shapes, Words and Paths
- How do we absorb ideas better?
2024
- Read writers who operate
- Brew your ideas lazily
- Vibes
- Trees, Branches, Twigs and Leaves — Mental Models for Writing
- Compound Interest of Private Notes
- Conceptual Compression for LLMs
- Meta-analysis for contradictory research findings
- Beauty of Zettels
- Proof of work
- Gauging previous work of new joinees to the team
- Task management for product managers
- Stitching React and Rails together
- Exploring "smart connections" for note taking
- Deploying Home Cooked Apps with Rails
- Self Marketing
- Repetitive Copyprompting
- Questions to ask every decade
- Balancing work, time and focus
- Hyperlinks are like cashew nuts
- Brand treatments, Design Systems, Vibes
- How to spot human writing on the internet?
- Can a thought be an algorithm?
- Opportunity Harvesting
- How does AI affect UI?
- Everything is a prioritisation problem
- Now
- How I do product roasts
- The Modern Startup Stack
- In-person vision transmission
- How might we help children invent for social good?
- The meeting before the meeting
- Design that's so bad it's actually good
- Breaking the fourth wall of an interview
- Obsessing over personal websites
- Convert v0.dev React to Rails ViewComponents
- English is the hot new programming language
- Better way to think about conflicts
- The role of taste in building products
- World's most ancient public health problem
- Dear enterprises, we're tired of your subscriptions
- Products need not be user centered
- Pluginisation of Modern Software
- Let's make every work 'strategic'
- Making Nielsen's heuristics more digestible
- Startups are a fertile ground for risk taking
- Insights are not just a salad of facts
- Minimum Lovable Product
2023
- Methods are lifejackets not straight jackets
- How to arrive at on-brand colours?
- Minto principle for writing memos
- Importance of Why
- Quality Ideas Trump Execution
- How to hire a personal doctor
- Why I prefer indie softwares
- Use code only if no code fails
- Personal Observation Techniques
- Design is a confusing word
- A Primer to Service Design Blueprints
- Rapid Journey Prototyping
- Directory Structure Visualizer
- AI git commits
- Do's and Don'ts of User Research
- Design Manifesto
- Complex project management for product
2022
2020
- Future of Ageing with Mehdi Yacoubi
- Future of Equity with Ludovick Peters
- Future of Tacit knowledge with Celeste Volpi
- Future of Mental Health with Kavya Rao
- Future of Rural Innovation with Thabiso Blak Mashaba
- Future of unschooling with Che Vanni
- Future of work with Laetitia Vitaud
- How might we prevent acquired infections in hospitals?