Kebe Software
Contact Information
-
Address
938 Clark Ave Apt 16, Mountain View, CA, 94040-2240 -
Phone
(650) 786-6815 -
Website
kebe.com
Location
About Kebe Software
Kebe Software is a software consulting business in Mountain View, CA. Run by Dan McDonald, it is a one-man software and consulting outfit offering consulting in Macintosh, UNIX, TCP/IP networking, and security. Clients interested in these services can reach out by e-mail to discuss their needs.
The business is operated by Daniel L. McDonald, who also writes and holds the copyright on its site content. The name Kebe has attracted a range of explanations over the years, several of which are collected on the site, including a tribute to Michigan Drumline's first "tri" player, Phil Kebe, and a derivation from "key bit management." The site notes that McDonald is also employed at MNX Solutions, and it distinguishes Kebe Software from similarly named entities, including Kebe Technology Solutions in the greater Madison, Wisconsin area, the Korean site kebi.com, and Kebe lifestyle furniture.
Kebe Software sits on Clark Ave, about 0.1 miles from West El Camino Real. Gemello Park is roughly 0.2 miles away, as is GanTorah Preschool. North El Monte Avenue and South Rengstorff Avenue are each about 0.2 and 0.3 miles from the location, and a post office is about 0.3 miles away.
For clients in Mountain View and the surrounding area who need help with Macintosh systems, UNIX, TCP/IP networking, or security, Kebe Software offers direct consulting from an operator with experience across those areas.
Services:
- Email Management
- IT Consulting
- Software Development
Score Summary
BizScoreAI scanned the website kebe.com on June 21, 2026. Kebe Software has a BizScore of 47 out of 100.
- AI Visibility21 out of 100
- SEO71 out of 100
AI visibility scan by category: AI Discovery 0 of 25 points, Structured Data 0 of 25 points, Content Readiness 19 of 30 points, AI Trust Signals 2 of 20 points.
Website audit sub-scores (out of 100): On-Page 45, Technical 61, Performance 90, Content 93.
Strengths: 2 checks passed. AI Content Blocking, Q&A Content.
Areas to improve: 8 checks. llms.txt (failed), AI Crawler Access (failed), Structured Data (failed), Meta Description (failed), AI-Parseable Headings (warning), About/Team Page (warning), XML Sitemap (warning), Author Signals (warning).
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