Neelabhro Ghosh@nyx_
1
Events attended
1
Submissions made
India
4+ years of experience
About me
I study computer science and mathematics and prefer building things over talking about them, though I do spend a lot of time talking to AI to test ideas and argue through problems. I work across C++, Java, Python, Go, and Rust, choosing tools based on what actually works. I’m drawn to projects with real constraints, where performance matters and systems need to hold up beyond demos. When something breaks, I dig into it instead of patching it. Lately, I’ve been focused on practical AI systems, especially local and hybrid setups where performance and control matter. I tend to overthink systems, but it usually means they last.
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Vapor Deck
Vapor Deck turns a plain-text topic into a complete presentation without touching PowerPoint or Keynote. You describe what you want to talk about, optionally attach PDFs or reference documents, and the system synthesises your content into a structured narrative before generating each slide as real HTML — with scoped CSS, staggered animations, and live syntax highlighting. Each slide streams token-by-token into an isolated iframe renderer, so you see the layout materialise in real time. A Design AI manages your visual identity: chat with it to set a colour palette, typographic style, and atmospheric feel, and every subsequent slide inherits that brand config automatically. Three built-in themes (dark-tech, clean-light, brutalist) define the base CSS variables the LLM writes against. Once a slide is built, a vision model inspects an offscreen screenshot for layout problems — overflow, clipped content, contrast failures, awkward wrapping — and surfaces a ready-to-paste fix instruction if anything looks off. You stay in control: refine any slide with a natural-language instruction, compare the before and after side-by-side, and export the finished deck as a PDF or standalone HTML files.
10 May 2026
