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riique/README.md

Henrique V. L.

I imagine things and spend an irresponsible number of tokens until they exist.

vibe coding · product building · automation · AI

Vibe Coded Token Maxxing

Instagram · X · Spotify


about

I build tools for problems that annoy me, ideas that sound interesting, and projects that probably started with:

“Could this be done?”

Every project on this profile is vibe-coded. AI is my main implementation tool; I handle the idea, the specification, the architecture, the decisions, the tests, the iterations, and the part where I ask:

“Now fix this without breaking everything else.”

The original scope usually does not survive the first prompt.

main projects

Some started with “real quick.” “Real quick” is a product estimate, not a time estimate.

Project What it is Technologies
Haumea A multimodal AI workspace for conversations, studying, model comparison, and organized knowledge Next.js, TypeScript, and Firebase
TelegramCloner Clones and synchronizes Telegram channels, groups, and forums with checkpoints that survive interruptions Electron, React, Python, and Telethon
HaumeaVoice (Tauri · Electron) Two voice-typing implementations with global shortcuts, transcription, and refinement Tauri, Rust, Electron, React, TypeScript, and Python
HaumeaStudies Organizes study missions, mock exams, essays, mistakes, and review sessions Next.js, TypeScript, and Firebase
AddictionLog Tracks caffeine, alcohol, and habits, estimates active load, and shows patterns over time React, TypeScript, Vite, and Firebase
Haumea Physique Brings workouts, nutrition, measurements, exams, and physical progress into one personal dashboard Next.js, TypeScript, and Firebase

side quests & utilities

Smaller things. Some of them even respected the original scope.


stack used in the experiments

TypeScript, JavaScript, React, Next.js, Electron, Tauri, Rust, Node.js, Bun, Python, Go, Java, Tailwind CSS, Firebase, Vite, Docker, and Git

I do not claim to master all of them. I claim to have convinced each of them to cooperate at least once.

token-maxxing pipeline

My goal is to maximize product per token.
So far, I have mostly achieved tokens per product.

Token Maxxing pipeline: idea, unnecessarily detailed prompt, context in critical condition, more-or-less working product, scope increase, and more tokens

The cycle ends when the product is finished — or when the context runs out.

token maxxing department

Metric Result
Short prompts sent statistically irrelevant
Context windows filled too many
“Just one more feature” has never been just one
Models consulted yes
Tokens saved future goal
Projects that started as a test almost all of them

GitHub activity

GitHub statistics for riique Most used languages across riique's GitHub repositories

Animated contribution graph for riique in the shape of a snake

You imagine it, I build it. If it works, it was engineering. If it doesn't, the context ran out.

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