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Software builder · Open-source maintainer · Ulaanbaatar, Mongolia

I make hard, unclear systems executable.

I’m Turuu Byambaa, a software builder and open-source maintainer in Ulaanbaatar. I work on products before the idea has become a clean ticket: when the domain is unfamiliar, the useful boundary is still unclear, or the technical model no longer matches reality.

I learn the domain, find the real boundary, make the product and architecture coherent, help the team grow around the work, and stay through production and operations.

Independent products · AI infrastructure · Complete systems · Open source

Current public work

A popular list was useful. It was not yet maintainable.

Open Apps began in 2017 as a list of complete open-source applications—the kind of codebase I used to learn how real products fit together. In 2026, I rebuilt its maintenance model around structured records, automated validation, generated output, and a clearer contribution path.

The repository already had an audience. The current work preserves that history instead of claiming it as a new result, then addresses the maintenance problems the original list could not solve.

Stars
4,333
Forks
789
Applications
~79

Public snapshot · 2026-07-29

Open case study

Selected evidence

Different settings. The same habit of ownership.

Each story shows a different difficult boundary: production AI, enterprise delivery, a venture under real demand, and developer products maintained in public.

Open-source lineage

Open source was my apprenticeship. Maintenance made it a discipline.

The point is not a repository count. Public work made incomplete understanding visible, then added the harder obligation: keep the code useful after its first release and understandable beyond its original author.

  1. 01

    Learn from complete systems

    Early applications made data flow, errors, product structure, and deployment visible end to end.

  2. 02

    Build tools for other builders

    Intelligo, its CLI, Neuro.js, examples, and bilingual documentation turned private learning into a public interface.

  3. 03

    Maintain the product, then extract

    Open Apps carries the product evidence. Grove carries only the reusable maintenance mechanics the product earned.

  4. 04

    Contribute inside an existing architecture

    Fleetbase required mapping boundaries across ten repositories and getting 40 pull requests accepted upstream.

How I work

The standard is visible in the decisions.

01

Take ownership beyond the ticket

Find the actual boundary of the problem—product, data, operations, and failure modes included—before choosing the implementation boundary.

Mazaal platform work · Tixy product and company boundary

02

Learn, document, then raise the team’s range

Learn unfamiliar work against a real delivery, turn the reasoning into examples and review standards, and make the next decision less dependent on one person.

Khan Bank team practice · Intelligo documentation

03

Ship the product before extracting the framework

Repeated pain inside a working product is evidence for an abstraction. A framework still has to earn independent use.

Open Apps → Grove

Contact

Bring the problem that has outgrown a normal implementation ticket.

The most relevant conversations are about an ownerless system, a product stuck between prototype and production, an architecture crossing product, data, AI, and operations, or a technical team that needs a clearer working standard.

Write with the constraint, what has already been tried, and what a successful change would make possible.