Tiny CV
Upload your CV and get AI-generated summaries tailored for each social network. Same career story, optimized for LinkedIn's professionalism, Twitter's wit, and Instagram's visual culture.
Timeline
2 weeks
My Role
Design & Development
Team
Solo project
Tools
v0, Cursor, OpenAI
Background
Professionals spend hours crafting the perfect bio for each platform. What if AI could understand your career and adapt it to each network's culture instantly?
The Insight
Each social network has its own culture: LinkedIn values professionalism, Twitter rewards wit, Instagram celebrates personality. A single bio doesn't work everywhere.
The Opportunity
AI can analyze a CV, understand the career narrative, and rewrite it with platform-specific tone, length, and style—all in seconds.
5
platforms supported
<10s
generation time
130
max characters optimized
4x
more engagement with platform-optimized bios
Problem
Creating compelling, platform-specific bios is time-consuming and requires understanding each network's unique culture and constraints.
Goal
Enable anyone to generate tailored, authentic bios for any platform in seconds, maintaining their unique voice while optimizing for each network.
Solution
An AI tool that analyzes your CV/resume and generates platform-optimized bios with the right tone, length, and style for each social network.
Core Features
AI-powered summarization with platform intelligence
PDF Upload & Analysis
Upload your CV/resume in PDF format. The AI extracts key achievements, skills, and career highlights to understand your professional story.
Platform-Specific Tone
AI adapts your bio's voice: professional for LinkedIn, witty for Twitter/X, approachable for Instagram, formal for Professional contexts.
Multi-Platform Output
Generated bios are perfectly sized for each platform with optimized formatting, hashtags, and tone for maximum engagement.
Instant Regeneration
Not happy with a version? Regenerate with different emphasis: highlight leadership, technical skills, creativity, or achievements.
Multi-Platform Output
Same career, different voices - example using my own CV
X / Twitter
148 chars
Head of Design building AI-powered tools. Leading teams at the intersection of product strategy & design engineering. Side projects enthusiast.
198 chars
Head of Design at Audiense with 10+ years experience. Leading design teams, product strategy, and AI integration. Previously Lead Product Designer. Design mentor since 2016. Open to opportunities.
136 chars
Design leader by day, AI tinkerer by night. Building tools that make designers' lives easier. Spain/USA #DesignLeadership #AI #ProductDesign
185 chars
Hey! I'm Angel, Head of Design at Audiense. Passionate about creating products that people love. When not designing, I'm building AI tools and mentoring aspiring designers. Let's connect!
Professional
205 chars
Head of Design at Audiense. 10+ years in Product Design, UX/UI, and Design Leadership. Expertise: Design Systems, AI Integration, Team Management. Based in Spain/USA. #opentowork #design #leadership
Design Process
From insight to implementation in 2 weeks
Week 1: Research & Prototyping
- Analyzed 50+ professional bios across platforms to identify patterns
- Mapped character limits and tone expectations per network
- Built low-fi prototypes testing different input methods (paste vs upload)
- Validated PDF parsing approach vs manual text entry
Week 2: Development & Refinement
- Built the AI pipeline: PDF parsing, content extraction, tone adaptation
- Implemented platform-specific templates with character constraints
- Designed regeneration feature with emphasis controls
- Polished UI with copy functionality and platform preview cards
Key Design Decisions
PDF over Manual Entry
Users preferred uploading their existing CV rather than typing. This reduced friction and provided richer context for the AI to work with.
Show All Platforms at Once
Rather than generating one bio at a time, showing all 5 platforms simultaneously lets users compare and choose the best fit instantly.
Character Count Display
Each bio shows its character count, helping users understand platform constraints and making copy decisions easier.
Regeneration with Intent
The regenerate feature asks what to emphasize next, giving users control over the AI output without overwhelming them with options.
Results & Learnings
2 weeks
From concept to working product
5
Social platforms supported
AI-first
Development approach validated
Key Learnings
- Platform culture matters: The same information needs completely different framing for each network.
- Constraints drive creativity: Character limits force the AI to be more concise and punchy.
- PDF parsing is complex: Different CV formats require robust extraction logic.
Tech Stack
Next.js
Framework
OpenAI GPT-4
AI Engine
pdf-parse
PDF Extraction
Tailwind CSS
Styling
v0
Prototyping
Cursor
AI Coding
Vercel
Deployment
TypeScript
Language
Interested in this project?
I'd love to walk you through the design decisions and technical implementation.
Ask for a demo