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R-Pro

Field app that calculates superheat and subcooling from gauge readings, ranks likely HVAC faults, and keeps customer equipment records.
At a glanceswept Oct 18, 2026

≈ 4visits/mo

Emerging · estimate, read Oct 18, 2026

For
Air conditioning and refrigeration technicians doing repair work in the field, often without phone signal.
Runs as
Mobile app
Used for
  • diagnose refrigerant system faults from gauge temperature and pressure readings
  • look up manufacturer error codes and their service manuals
  • identify terminals and check readings on a wiring diagram or control panel
Worth knowingcomputed from what we read · each with its source
  • Publishes llms.txt, a file written for AI assistantsr-pro.app ↗
  • Launched on Product Hunt on May 19, 2026Product Hunt ↗
The companyeach fact with its source · read Oct 20, 2026
  • Domain since2026domain registered
  • HeadquartersGangneung-si, KRper their site
Your datawhat they publish, each line with its page · read Oct 20, 2026

    These are R-Pro's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.

    Alternatives in Developer toolsby use, among tools still maintained

    Figure and bar: visits/mo, estimate · year: online since

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    beta

    Three tools from the Atlas for the job you describe, each with what fits and what does not.

    From people who use itnot part of the reading

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    Questions this page answers
    • What is R-Pro?

      Field app that calculates superheat and subcooling from gauge readings, ranks likely HVAC faults, and keeps customer equipment records. It is listed in the Atlas under Developer tools.

    • Who is R-Pro for?

      Air conditioning and refrigeration technicians doing repair work in the field, often without phone signal.

    • Do people use R-Pro?

      Emerging: ≈ 4 visits/mo · estimate, 2026-10.

    • What are alternatives to R-Pro?

      In Developer tools, by use: GitHub, GitLab, Hostinger, Softr, Warp, Augment Code.

    How we read a tool

    No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

    • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
    • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
    • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
    • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

    How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

    How we read every tool → · By INITE Atlas Desk