Engineering teams

Where Overshow sits in your day

Most engineers already live in the IDE, terminal, browser, and chat. Overshow does not replace those tools. It quietly indexes what appears on screen (OCR), what is spoken on calls (on-device transcription), and useful UI context, then lets you search and ask with hybrid keyword and semantic retrieval. When you forget the exact error string or which Slack thread held the decision, you search your own history instead of re-running failed deploys or digging through endless scrollback.

Scenarios you will recognise

Recalling a debugging session

You fixed something yesterday afternoon but the terminal has long since cleared. You remember it involved the auth service and a deployment step, not the precise error.

Example searches:

• “auth service deploy error yesterday terminal”
• “kubernetes rollout failed invalid image” (semantic if you paraphrase)
• Filter by time range to yesterday afternoon and application to your terminal or IDE

Example Ask prompts (grounded in captures):

• “What error appeared in the terminal when I was deploying the auth service yesterday?”
• “Summarise what I tried before the deploy succeeded.”

Recovering architecture decisions from meetings

Decisions often happen in video calls or ad-hoc screen shares. Calendar-linked meeting detection and transcripts (with speaker identification where available) make it easier to tie discussion to a date and room.

Example searches:

• “Redis caching decision”
• “when did we choose Redis for session store”
• Filter by meeting or date range aligned with your team’s architecture review

Example Ask prompts:

• “When did we decide to use Redis for caching, and what were the main reasons mentioned?”

Searching across IDE and browser at once

The same problem often spans documentation in the browser, code in the editor, and output in the terminal. Hybrid search surfaces matches across those surfaces without you remembering which window had the answer.

Example searches:

• “oauth redirect uri mismatch”
• “refresh token rotation implementation”
• Combine semantic query with app filter if you know it was only in Safari versus only in your editor

Finding code review discussion

Review comments, PR descriptions, and spoken walkthroughs all leave traces on screen and in audio. Document indexing can also pull in files you open through normal workflows, depending on your setup.

Example searches:

• “PR 482 comments about rate limiting”
• “code review feedback on error handling”
• Filter by speaker after a call where a senior engineer walked through the diff

Tips for getting the most value

• Narrow time first: Busy days produce noise. A one- or two-hour window around when you remember the work often beats a vague global query.
• Use meetings and calendar: When a decision happened on a scheduled call, jump from the meetings view or calendar-linked session instead of guessing timestamps.
• Daily summaries: Skim what actually happened across deep work and interruptions. useful after context-switch-heavy weeks.
• Prefer hybrid for vague recall: Keywords when you have an error code or file name; semantic or hybrid when you only have a rough idea.
• Pause when needed: Sensitive discussions belong off the record; use your organisation’s pause or privacy controls so capture matches policy.

What Overshow is not

It is not a replacement for Git history, structured runbooks, or your ticketing system. It is memory augmentation: faster path back to what you already saw, said, or read on screen.