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The best way to predict the future is to create it.
:shipit:
The best way to predict the future is to create it.
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Achievements

Achievement: Galaxy BrainAchievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: Public SponsorAchievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Galaxy BrainAchievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: Public SponsorAchievement: QuickdrawAchievement: YOLO

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@Ansell-Project

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chama-x/README.md

Chamath Thiwanka

I bridge the gap between frontier models and the software people actually use every day.

Founder, Cortana (Pvt.) Ltd. · Sri Lanka
Building with LLMs since text-davinci-002

◆ In production

Black Rock Aggregate — quarry operations platform

Built for Black Rock Aggregate (Pvt.) Ltd. Gate dispatch, live 3D fleet tracking, multi-partner treasury, and print-perfect vouchers. An entry made at the weighbridge on a phone appears on the owner's dashboard in real time. A mobile PWA for field operators; a realtime financial console for partners.

The 3D engine in this system is the same one that runs my agent research, below.

◆ Open tools

Launchpad — Spotlight launching a project on macOS

Launchpad
Zero-daemon macOS workspace engine: the file system is the UI. Pure Python stdlib, 0 MB idle RAM, plus a workspace contract for AI coding agents.

 Paper — Typst compiled in the browser with live PDF preview

Paper · live →
Typst in the browser: WASM compile, live PDF preview, local-first. The same engine generates Black Rock's production vouchers.
OpenWorldEye — satellite orbits, live air traffic and seismic events fused on a WebGL globe

OpenWorldEye · live →
Live geospatial fusion on a WebGL globe: satellite orbits (SGP4/TLE), air traffic (ADS-B), seismic events (USGS).

◆ Also built

ViT from scratch
Pure multi-head self-attention, 99.8% MNIST

Git-Timetraveler
Rust CLI for deterministic git-history rewriting

gemma-chat
Offline local AI for Apple Silicon (MLX)

◆ Research

Spatially-aware generative agents — neuro-symbolic agents in a 3D world

LLMs have no feel for momentum, line-of-sight, or collision. This work splits the loop: the LLM plans asynchronously while a continuous steering layer executes the physics. Formalized in my final-year university research (React Three Fiber world, Yuka steering, decoupled symbolic planning).

◆ Now

Writing up the spatial-agents research and packaging the Black Rock case study.

◆ Contact

Building software or operational systems that need high craft? Talk to me.

chamaththiwanka@icloud.com · Sri Lanka · UTC+5:30

LinkedIn    Cortana (Pvt.) Ltd.    X

Pinned Loading

  1. launchpad launchpad Public

    The native workspace manager for macOS.

    Python 2

  2. Cortana-Devs/Research-Gap-Analyzer Cortana-Devs/Research-Gap-Analyzer Public

    The Research Gap Analyzer is a web-based tool designed to help researchers identify research gaps by analyzing multiple research papers simultaneously. This tool streamlines the literature review p…

    JavaScript 3

  3. GroundRules GroundRules Public

    Two files. ~250 tokens. Zero drift.

    TypeScript 5

  4. openworldeye openworldeye Public

    OpenWorldEye - tactical OSINT globe (OpenSky, CelesTrak TLEs, USGS, react-globe.gl)

    TypeScript

  5. Cortana-Devs/3d-spatial-agents Cortana-Devs/3d-spatial-agents Public

    TypeScript 1