Jandos Mámbetáli

Jandos Mámbetáli

Founder @ PyCells MDS

About

I build tools that turn structured data into clear, reliable documents. I’m focused on eliminating manual work between spreadsheets and final PDFs — invoices, reports, and other documents that people generate repeatedly from data. I care about predictable calculations, clean layouts, and systems that behave the same way every time. - Build PyCells into a reliable document system for data-driven teams - Reduce manual copy-paste and formatting errors - Make document generation as deterministic as code Ambitions To create tools that sit between data and presentation — where logic and layout stay perfectly in sync. Long term, I want PyCells to become a standard way to generate structured documents from data, without the fragility of traditional office workflows.

Badges

Tastemaker
Tastemaker
Gone streaking
Gone streaking
Gone streaking 5
Gone streaking 5

Maker History

Forums

The idea and original essence of TenTags

The idea behind TenTags is to describe complex table structures (cell spans, text styles, alignment, and background colors) in a single, compact declarative string. This format serves as a universal source (AST), which the library compiles into an identical visual representation for HTML, Excel (.xlsx), and PDF, eliminating the need for the backend to maintain separate templates and write hundreds of lines of boilerplate code for each format.

TenTags – Declarative (IR) for Documents - Declarative Intermediate Representation (IR) for Documents

TenTags is an open-source declarative document language and Intermediate Representation (IR) for generating structured documents. Instead of embedding programming logic into templates, TenTags uses a compact semantic syntax that can be generated by Python applications and AI agents. Compile the same document definition into HTML, PDF, Excel (.xlsx), and future output formats while keeping business logic separate from presentation.

Introducing TECS Engine – a discrete dynamic system for Element-Slot interaction.

TECS (Time Element Cycle Slot Engine) lets you simulate and train complex routing of elements into slots, bridging simulation modeling with neuro-symbolic learning. Perfect for testing resource allocation, agent-based models, or hybrid AI systems.

Why it s exciting:

  • Structured data routing in dynamic environments

  • Models competition and priorities naturally

  • Easily extensible for simulation, training, or research

Check it out: GitHub repo

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