Slides: GTM Is You - Victoria Melnikova, Evil Martians
Source Video
GTM Is You - Victoria Melnikova, Evil Martians
Relationship To World's Fair 2026
These slides are extracted from a public AI Engineer YouTube video connected to World's Fair 2026. Speaker-matched clips are supporting context unless later confirmed as exact session recordings; official livestream recordings are day-level/event-level source material.
Related Scheduled Sessions
- No individual scheduled session mapping has been assigned yet; treat this as an event livestream deck.
Extracted Slides

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.98 - Text source: agent_vision.
Slide text:
The PMF compass We analyzed 37 successful devtools: Cursor, Vercel, Supabase, Linear and others

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.98 - Text source: agent_vision.
Slide text:
For early-stage devtools 9 out of 10 startups Signal > Revenue

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.97 - Text source: agent_vision.
Slide text:
Come to SF

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.97 - Text source: agent_vision.
Slide text:
Do events in SF
Hidden Non-Slide Evidence
- `slide-001.jpg` —
speaker_stageconfidence0.99; speaker camera shot, not a slide - `slide-002.jpg` —
speaker_stageconfidence0.99; speaker camera shot, not a slide - `slide-006.jpg` —
demo_videoconfidence0.96; embedded video player, not a readable slide - `slide-007.jpg` —
speaker_stageconfidence0.99; speaker camera shot, not a slide - `slide-009.jpg` —
demo_videoconfidence0.97; YouTube/demo-video frame with people on camera, not a presentation slide.
Classification audit: raw/sources/slide-ai-classification/slides/G6IlDzj8OjA/audit.json
Slide-Derived Subjects To Review
Subject extraction uses video title, related session titles/descriptions, transcript context, and OCR text when available. OCR is best-effort and should be reviewed against the embedded slide images.