ZeroFluff

Inspiration

Scrolling through modern tech landing pages and hackathon platforms became an exercise in decoding AI-generated buzzwords. Every project claimed to be a revolutionary next-generation ecosystem utilizing seamless paradigms, but nobody was showing the actual architecture or code. We wanted to build something that strips away the fluff and forces transparency in the builder community.

What it does

ZeroFluff is a utility designed to filter out marketing jargon from project descriptions and repositories. It scans text in real-time, cross-references words against a dictionary of marketing buzzwords like leverage, synergy, or paradigm shift, and redacts them. In their place, it attempts to fetch and display actual technical execution metrics, such as repository commit history and language breakdowns, so developers can see the true substance of a project immediately.

How we built it

We built the core logic using a JavaScript regex matching engine to handle real-time DOM scanning on web pages. We compiled a custom JSON dictionary containing hundreds of high-frequency marketing terms. For the backend functionality, we integrated the GitHub API to dynamically pull repo stats when a user analyzes a project page, serving everything through a minimalist user interface built for speed and low latency.

Challenges we ran into

Contextual analysis was the biggest bottleneck. Words like leverage can occasionally be used in a legitimate financial or physics context, so building a simple filter without creating false positives took a lot of manual keyword tuning. We also had to optimize the dynamic DOM parsing so that it would filter large walls of text instantly without causing the browser window to lag or crash.

Accomplishments that we're proud of

We succeeded in creating a parsing script that runs in under ten milliseconds, ensuring zero performance impact on the browser. We are proud of building an application that speaks directly to a massive, shared frustration among developers and creates a genuinely transparent way to look at tech projects.

What we learned

We learned a great deal about string manipulation and regex performance optimization at scale. More importantly, analyzing hundreds of project pages showed us just how heavily modern documentation relies on automated text generation, which reinforced our belief that raw proof of work is the ultimate differentiator.

What's next for ZeroFluff.

The next step is expanding ZeroFluff into a comprehensive browser extension compatible with major developer portals and repository hosting services. We also plan to integrate an AI text classifier to score the authenticity of documentation based on how likely it was generated by an LLM versus written by a human engineer.

Built With

• api
• dom
• extensions
• github
• javascript
• json
• regex
• web