---
title: "Slides: Self Driving Products: Product Signals to Pull Requests — Joshua Snyder, PostHog"
category: "slides"
video_id: "zMiSRliEzv4"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

# 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](https://www.youtube.com/watch?v=zMiSRliEzv4)

## 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
![[assets/slides/zMiSRliEzv4/slide-001.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/zMiSRliEzv4/slide-001.html)
- AI slide classifier: `title_card` confidence `0.81`
- Text source: agent_vision.

Slide text:

> What if your product built itself?

![[assets/slides/zMiSRliEzv4/slide-002.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/zMiSRliEzv4/slide-002.html)
- 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.