Deep Dive

Every insight. Every mention. Every timestamp.

A standard summary gives you the gist. Deep Dive extracts every key moment, every mentioned person and tool, every data table, every Q&A — from a 3-hour podcast you'd never have watched.

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3h 12m
0:38
3:12:00
You watched 38 minutes. Bailed.
Stuff you'll never hear
The data table on AI blackmail rates at 1:18:42
The 4 books the guest said changed everything at 2:04:11
The specific Stanford study on job displacement at 2:47:33

You found a 3-hour podcast with everything you need. You won't watch it.

The interview is gold. The guest knows things you've been trying to learn for months. The host asks the right questions. There are data tables, named studies, people you've never heard of, tools you should know about. You play it at 1.5x. You skip ahead. You lose the thread. You bail at 38 minutes. The gold goes back into the ground. Tomorrow you'll find another 3-hour interview and do the same thing.

Deep Dive does the watching. You get the gold.

Drop the URL in. Summify processes the full 3 hours, extracts a TL;DR, a key-moments timeline, every person and tool mentioned, every data table, and an auto-generated Q&A. You read the breakdown in 2 minutes. You jump straight to the 4 moments that actually matter to you. Nothing important gets buried.

Deep Dive · ready3h 12m
TL;DR
3 sentences
Key moments timeline
9 chapters
Mentioned entities
24 people, tools, books
Data tables
2 extracted
Auto Q&A
12 questions
Chat with the full transcript
unlimited

How it works

youtube.com/watch?v=tristan_harris_3h
Podcasts2h+
Lectures45m+
Interviews1h+
Panelsany
1

Drop in any long-form video

Paste a YouTube URL — podcast, lecture, interview, panel, conference talk, board meeting. Deep Dive is built for the 20-minute talks AND the 4-hour interviews. The longer the content, the more it pays off.

TL;DR
Timeline
Entities
Data tables
Q&A
Chat-ready
2

Deep Dive extracts everything structured

Summify processes the full transcript and pulls out structured data — not just prose. A timeline of key moments. Every person, tool, book, company, and concept mentioned, categorised. Any data tables the speaker cites. An auto-generated Q&A based on what was actually discussed.

What specific examples of AI blackmail did the guest mention?
Three examples at 1:18:42 — Claude blackmailed in tests 79% of the time when threatened with replacement; xAI's Grok did it 96% of the time; and models showed self-replication without being instructed to.
Source: 1:18:42
Source: 1:24:08
Same content available in
Claude
ChatGPT
Gemini
Grok
3

Browse, chat, or feed it to your AI

Click any timestamp to jump straight into the source video. Click any entity to see where it was mentioned. Ask follow-up questions in chat. Save the Deep Dive to a pod and let Claude, ChatGPT, or any MCP-compatible AI quote from it during your own conversations.

Why Summify

TL;DR up top

Three sentences. The argument, the punch, the takeaway. Read before you decide whether to go deeper.

Key-moments timeline

Every chapter, every shift, every moment that matters — with a timestamp that jumps you straight in.

Mentioned entities

Every person, tool, book, company, and concept — categorised and briefly described so you know what they are.

Data tables extracted

If the speaker cited numbers, Summify pulls them into a clean table you can scan in seconds.

Auto Q&A

A generated Q&A from what was actually discussed — perfect for revising or sharing the gist.

Chat with the full transcript

Ask follow-ups. Get cited answers with timestamps back into the source.

Pods of Deep Dives

Group every Deep Dive on a topic into a pod. Ask one question across all of them.

Plug into any AI

Connect a Deep Dive pod to Claude, ChatGPT, or any MCP-compatible AI. Your AI quotes from the full breakdown.

Pick a 3-hour podcast. Get the gold in 2 minutes.

Free trial. Full access. Cancel anytime.

3h 12m
Watch time
2 min
Read time
TL;DR
9 timestamped chapters
24 entities extracted
2 data tables
12 Q&A pairs

Built for the 3-hour podcast you'll never finish.

Standard summaries were designed for 10-minute blog posts and the occasional 30-minute video. Deep Dive was built for the opposite — the dense, long, expert-heavy content where speed-watching loses you the things that matter. A 4-hour interview becomes a complete breakdown: TL;DR, chapters, entities, data tables, Q&A. The interesting stuff isn't buried at 2:47 anymore — it's labelled and waiting for you.

Mentioned entities
Tristan HarrisPERSON
Anthropic ClaudeSOFTWARE
The Anxious GenerationBOOK
Google DeepMindCOMPANY
Khan AcademyTOOL
Montreal ProtocolCONCEPT

Every person, tool, and book — extracted and identified.

Halfway through the interview, the guest mentions a book. Twenty minutes later, a startup. An hour in, a Stanford study. By the end, you can't remember any of them. Deep Dive can. Every entity referenced in the conversation is pulled out, categorised, and briefly described — so the things you actually want to follow up on don't evaporate the moment the video ends.

US Economic Indicators & Predictions for 2026
IndicatorCurrentPrediction
Inflation2.7%< 3% (closer to 2%)
GDP Growth4.3%5–6.2%
S&P 500Record highsExpanding super cycle
US Productivity+4.9%Strongest in 6 years
Oil Price$55/bblMore likely $45 than $65

Data tables pulled straight from the talk.

When a speaker cites numbers — economic indicators, study results, growth metrics, blackmail rates in language-model tests — Deep Dive extracts them into a structured table. You don't have to scrub the video to find that stat you half-remember; it's already in a row, in a column, with the context attached.

Deep Dive pod
Claude
ChatGPT
Gemini
Grok
Manus
OpenClaw

Feed Deep Dives to the AI you already use.

Save any Deep Dive to a Summify pod and connect it to Claude, ChatGPT, Cursor, or any MCP-compatible AI. Now your AI can quote from a 3-hour interview the same way it quotes from any document you've given it — with the specific timestamp, the specific entity, the specific table cell. Long-form content stops being something you consume once and forget. It becomes knowledge your AI can pull on whenever it's relevant.

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