Update: Thanks to everyone who has replied! I realize I should explain what I've built and why I'm trying to reach people in scientific publishing.
I've developed LEC, a native C/C++ TeX engine for live scientific-document editing and publishing.
What I'm looking for is a way to reach the right people at companies like Overleaf, Digital Science, Wiley, Springer Nature, Elsevier, or smaller companies developing scientific publishing technology.
I'm particularly interested in the engineers, software architects, R&D teams, and product developers who work on new authoring and publishing technologies.
I've spent a considerable amount of time building this engine, and I'd like to show it to someone who understands this field, might find it useful, and would be interested in taking a closer look.
I'm just not sure how an independent developer can reach the right people in these companies.
Here's what I've built and why I think it might interest them.
1. Live LaTeX editing at the character level
Imagine editing a LaTeX document directly in its rendered form, almost like Word, except it's the actual TeX engine producing what you see, without generating an intermediate PDF.
You can click inside a complicated equation, fraction, or matrix and edit individual characters directly. Even if something was generated by a macro defined elsewhere, the engine can take you back to the exact source that produced it.
This isn't paragraph-level or line-level synchronization between LaTeX source and a PDF preview. It's character-level correspondence maintained by the engine itself.
TikZ and PGFPlots can also update as you change expressions, almost like working with a graphing calculator.
Under the hood, the engine retains execution state and uses a dependency graph to reuse valid work between edits. It supports parallel processing and keeps the last successful rendered output visible while you're typing incomplete LaTeX.
It executes real LaTeX macros and CTAN packages, and I've built a package manager that searches for and installs packages from TeX Live.
2. LaTeX directly to Markdown, without going through PDF
This is the other major capability, particularly for publishers with large collections of scientific papers and textbooks.
Instead of reconstructing a document from PDF or separately interpreting raw LaTeX commands, LEC executes the original LaTeX, including its macros and packages, and produces structured Markdown from the resulting document.
Supported equations remain editable, references and numbering are retained, and figures are preserved as images.
I've tested the engine on many arXiv articles. A multi-page, two-column scientific paper can become a continuous, reflowable document, with its content arranged for reading on different screen sizes.
That Markdown can then be used to produce HTML or EPUB using existing publishing tools.
3. The engine itself is the product I'm developing
The editor in the video is a basic application I built to demonstrate the engine's capabilities.
My longer-term goal is to make the engine available for integration into other software, whether that's a scientific authoring platform, an IDE, a publishing system, or potentially an ebook reader.
I've also designed it with both open-source and proprietary commercial integration in mind.
Here are two videos showing the actual software:
Examples of scientific papers converted directly from LaTeX to Markdown and HTML
I've also published several conversion examples on my website, https://www.linneon.com. These are actual scientific papers processed by LEC, with mathematics, references, figures, and document structure carried into the resulting Markdown.
1. A posteriori error estimation for coarse or distorted meshes
41 source pages · 1,039 mathematical expressions
Read HTML · Download Markdown
2. A Refined Cometary Fluorescence Model for the ν₃ Vibrational Band of Cyanogen
20 source pages · 576 mathematical expressions
Read HTML · Download Markdown
3. Optimal transport distances to characterise electronic excitations
21 source pages · 179 mathematical expressions
Read HTML · Download Markdown
4. A scalable sample-based quantum diagonalization solver for general Pauli-sum Hamiltonians
10 source pages · 247 mathematical expressions
Read HTML · Download Markdown
So, back to why I originally posted here.
I'm trying to find the right people at companies developing scientific authoring and publishing technologies. Not general customer support or sales, but the engineers, R&D teams, or product developers who might be interested in taking a closer look at LEC.
If you work in this area, know someone who does, or have any suggestions on how to reach them, I'd really appreciate hearing from you.
Feel free to DM me or email me at [e@linneon.com](mailto:e@linneon.com).
And if you have technical questions about the engine, I'm happy to discuss those too.