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Keebye
Keebye — Voice Dictation for Parallel Builders
About Keebye
On-device voice dictation for builders running parallel AI-agent workstreams. Hold a hotkey, speak, and the text lands in whatever app has focus — speech-to-text runs locally.
- Who it is for
- Builders running parallel AI-agent workstreams on Mac and Windows
- Problem it solves
- Repeatedly typing prompts, messages, and instructions can interrupt the flow of work. Dictation also needs to handle technical vocabulary and insert text reliably into the tools people already use, including terminals.
- The solution
- Hold a key, speak, and the text lands in whichever app has focus, including your terminal. Speech-to-text runs entirely on your computer, so no audio leaves it.
- What makes it unique
- Speech-to-text runs on-device with no cloud transcription and no wake word. The network is used only to download models, check for updates and confirm your plan, never to send audio.
Features
On-device speech-to-text (no audio leaves your computer)
Hold-to-talk or tap-to-toggle hotkey
Inserts text into the focused app by paste or synthetic typing
Optional multilingual engine covering 25 languages
Local, text-only dictation history with 30-day auto-delete
Four things it does on your computer
No wake word, no cloud transcription, no model deciding what you meant. Every step below runs locally.
Details
- Platforms
- macOS
- Pricing
- Freemium
- Subscription
- One-time purchase
- Free trial
- Built for
Builders running parallel AI-agent workstreams on Mac and Windows
- Building since
2026
Technology
Keebye product screenshot
1 / 1Website performance
Recorded mobile lab measurements and finalized weekly standings from IndieTools Speed.
Keebye website speed overview
96
Performance scoreGood
In IndieTools' mobile lab test on November 9, 2026, the Keebye website scored 96 out of 100 (good). Largest Contentful Paint took 1.67 s, rated good.
Measured (UTC)
- LCPLargest Contentful Paint
- 1.67 s
- Good
- TBTTotal Blocking Time
- 69 ms
- Good
- CLSCumulative Layout Shift
- 0.000
- Good
- FCPFirst Contentful Paint
- 1.67 s
- Good
Not ranked in a finalized week yet.
Keebye lab metrics
| Metric | Result | Status | Trend |
|---|---|---|---|
| Mobile lab testMid-range phone on a throttled 4G connection, two runs averaged. Changes compare with the run on Nov 8. | |||
| Performance score GoodUp 2 points | 96 / 100 | GoodUp 2 points | |
| First Contentful Paint GoodAbout the same | 1.67 s | GoodAbout the same | |
| Largest Contentful Paint GoodAbout the same | 1.67 s | GoodAbout the same | |
| Speed Index Needs improvement533 ms slower | 4.58 s | Needs improvement533 ms slower | |
| Total Blocking Time Good135 ms faster | 69 ms | Good135 ms faster | |
| Cumulative Layout Shift GoodAbout the same | 0.000 | GoodAbout the same | |
| Unthrottled observationsTimed on the test machine's own fast connection, so they read lower than the lab metrics above. | |||
| Page load 273 ms slower | 782 ms | 273 ms slower | |
| Server response About the same | 13 ms | About the same | |
Keebye performance history
3 comparable mobile lab runs since November 8, 2026. Choose a metric and a range, then move along the line to read each run.
Keebye Speed ranking
Not ranked yet. Ranks appear once a week with this product is finalized.
Stored lab observations from controlled test runs, not real-user Core Web Vitals or a guarantee of search rankings. Weekly standings remain attached to their finalized edition.Method psi-mobile-two-sample-mean-v1, 2 samples per reading. Lab results can vary between runs.
Domain Rating
Domain Rating by Ahrefs- DR4 (primary model)
- 2
First DR4 reading
- DR3
- 17
First DR3 reading
Model difference−15. DR4 is 15 points lower than DR3.
Measured · keebye.com
What do DR4, DR3 and the model difference mean?
- DR4:
- Ahrefs' newer model. It gives more weight to links from sites with organic search traffic and rates a subdomain on its own links.
- DR3:
- The previous model, shown in the Ahrefs app until 1 December 2026.
- Model difference:
- DR4 minus DR3 for the same domain. The models calculate differently, so this is not growth or a drop; the “since” lines compare each model with itself.
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