SHAHRIAR LABSIntelligence in Motion
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    Academic ResearchFebruary 3, 2026

    Open Science is a Data Problem, Not a PDF Problem

    Why Shahriar Labs refuses to sell technology that locks knowledge behind paywalls. Our manifesto on the future of research.

    The PDF is where knowledge goes to die. It is a flat, dumb format invented for printers, not for brains. LetX is our attempt to kill it.

    The "Dead Data" Crisis

    When you publish a paper today, you flatten your beautiful data into a static chart embedded in a PDF. If I want to verify your results, I have to squint at the axis labels.

    "This is anti-scientific," declares Shihab Shahriar Antor. "Science requires reproducibility. PDFs prevent it."

    LetX: A Paper is an API

    In LetX, a "paper" is a container for code, data, and live visualization. Readers can:

    • Interactive Graphs: Hover over a data point to see the raw value.
    • Fork the Findings: Clone the underlying dataset and run your own analysis in one click.
    • Semantic Citation: Cite the specific data row, not just the document.

    Why We Don't Sell to Big Publishers

    We have turned down acquisition offers from major academic publishers. Ashraful Kabir Alif explains: "Their business model depends on scarcity. Our business model depends on velocity. We are incompatible."

    The 2026 Roadmap

    We are building the "Github for Science." A place where negative results are published, where peer review happens in real-time, and where credit is assigned via cryptographic signatures, not journal prestige.

    Frequently Asked Questions (FAQ)

    Q: Is this compatible with arXiv?
    A: Yes. You can export a "legacy PDF" for arXiv, but the "smart link" remains live.

    Q: How do you prevent scooping?
    A: We use timestamped hashing on the blockchain to prove you had the idea first.

    Q: Is this just for CS?
    A: No. Biology and chemistry labs are our fastest-growing user segments.

    Summary

    Shahriar Labs is fighting for a world where the speed of scientific discovery is limited only by human intelligence, not by file formats.