Slides: Self Driving Products: Product Signals to Pull Requests — Joshua Snyder, PostHog

Source Video

Self Driving Products: Product Signals to Pull Requests — Joshua Snyder, PostHog

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: title_card confidence 0.81
Text source: agent_vision.

Slide text:

What if your product built itself?

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.99
Text source: advanced OCR rapidocr-live/bright-screen/opencv-adaptive.
OCR decision: ready — Dense product slide with a large title and many small feature labels; OCR is the better capture method.

Slide text:

N', PostHog": -.0x

The single platform to analyze, test,

observe, and delpoy new features

+ ★ AIE

Posthog AI Session replay analytics Web analytics Product tracking Error

Experiments Feature flags Logs CDP Workflows

GoogleDeepMind

Classification audit: raw/sources/slide-ai-classification/slides/zMiSRliEzv4/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.