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Become a sponsor to Firmansyah Otoluwa

@programmerlapar

Firmansyah Otoluwa

programmerlapar
Indonesia

I’m an independent developer building open-source tools for practical software delivery and developer automation.

My current work includes Cycles, an Engineer + Reviewer workflow that helps turn project tasks into tested, reviewable, human-approved changes. I’m also exploring local LLM orchestration and benchmarking so model choices can be based on real hardware and performance rather than assumptions.

Sponsorships help me invest more consistent time in:

  • Maintaining and improving the projects
  • Running local LLM benchmarks and development infrastructure
  • Writing documentation and examples
  • Fixing issues and responding to the community
  • Keeping useful tools open and accessible

You do not need to sponsor me to use or support the projects. A sponsorship is simply a way to help sustain the work, and every contribution is genuinely appreciated.

Thank you for taking the time to look at what I’m building.

@programmerlapar

This goal would help me reserve regular time each month for maintenance, documentation, local LLM benchmarking, and improvements to my open-source developer tools.

Featured work

  1. programmerlapar/atlas-photo

    Atlas Photo: a privacy-first, offline desktop photo gallery app for Windows, macOS & Linux. Browse photos by location on an interactive GPS map with automatic EXIF metadata extraction. Built with E…

    TypeScript 1
  2. programmerlapar/quidlass

    Zero-dependency React and TypeScript liquid-glass component library with interactive effects.

    TypeScript
  3. programmerlapar/flowtive-releases

    Public Flowtive desktop releases, marketplace distribution links, release notes, and privacy policy.

    HTML
  4. programmerlapar/knowledge-evolution-protocol

    Portable brain-first knowledge protocol for AI coding agents, with retrieve-before and capture-after workflows.

    Shell

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Thank you for supporting my open-source work.

Your sponsorship helps me maintain Cycles and related developer tools, run local LLM benchmarks, improve documentation, and continue sharing practical AI engineering workflows.

You’ll receive a GitHub Sponsor badge and my sincere appreciation.