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Here’s what we’ve got for you today.

• Daily Idea - Internet Picks Hits

• The Studio Greenlight Meeting Leaks

The Internet Already Picked Hits

The One Liner

Find the next hit before Hollywood does

The 140 character tweet (or X) version

The internet already picked the next hit. This tool finds fan fiction stories with real demand before studios notice.

The Longer Story Version

The Problem

Hollywood is guessing.

Studios spend millions trying to predict what people will love.
Most of it flops.

Meanwhile… the answer is already out there.

Millions of readers are obsessing over stories on platforms like AO3, Wattpad, Reddit.
They’re leaving signals everywhere:
views, comments, rewrites, fan theories, spin-offs.

That’s not noise.
That’s demand.

But it’s messy.
Fragmented.
Impossible to track in any structured way.

So studios ignore it… and keep greenlighting based on gut.

Which is kind of insane.

Because there are entire fanbases forming around stories
before they ever become “IP.”

The real problem:
there’s no system that turns this chaos into something usable.

The Solution
Treat fan fiction like early-stage deal flow.

Instead of guessing what might work…
you surface what already does.

The system pulls from places like AO3, Wattpad, Reddit.
Tracks engagement depth (not just views, but comments, saves, velocity).
Identifies stories gaining momentum before they break out.

Then packages them:
what it’s about
who’s reading
why they’re obsessed
what it could become

Think less “scraper”… more “Bloomberg for future hits.”

Now instead of asking “what should we make?”
you’re asking “what’s already working that we can adapt?”

And the wedge is simple:
start with one platform, one signal, one weekly list.

“The Top 10 Stories Studios Should Be Buying Right Now.”

How We’d Build It

Phase 1: Prove Signal > Guessing
• Scrape one platform (Wattpad) using tools like Apify or Bright Data
• Rank stories with a simple model (growth + comments + saves)
• Use a vibe-coded frontend (Lovable / Replit / Framer) to display “Top Stories”
• Distribute as a weekly report (Substack + curated list)

Goal: prove people care about this list

Phase 2: Make It a Product
• Expand to AO3 + Reddit threads
• Use embeddings (Weaviate / Pinecone) to cluster themes + trends
• Auto-generate “story briefs” using GPT (audience, comps, adaptation angle)
• Sell to indie studios, producers, agents

Goal: become a repeatable source of “what to adapt next”

Phase 3: Own the Layer
• Build a dashboard (Retool / Supabase stack) for real-time discovery
• Add deal flow: connect creators → buyers directly
• Track outcomes (what gets optioned, produced, succeeds)
• Become the default signal layer for IP discovery

Goal: shift greenlighting from gut → data

Before You Build This

Found on Product Hunt: Pensieve

The hard part isn’t scraping stories.
It’s deciding what actually counts as a “hit.”

Views? Comments? Spin-offs?
Different signals → completely different outcomes.

Pensieve is built for this stage.

It helps you take messy inputs (like fan data across platforms), structure them, and turn them into clear decisions before you build.

Map signals.
Compare approaches.
Decide what matters.

Because if you get that wrong…

you’re not finding hits.
You’re just ranking noise.

Free to join the waitlist.

Why It Needs to Exist
The internet already picks winners.

Studios just don’t see it in time.

This turns fan fiction from “hobby content” into a predictive signal layer
where demand shows up early, loudly, and repeatedly.

Lower risk.
Built-in audiences.
Better bets.

The only question is who builds the system that surfaces it first.

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The Studio Greenlight Meeting Leaks

Exec 1: “We’ve got something original. Bold. No comps.”
Exec 2: “Cool. How many people already love it?”
Exec 1: “…none yet.”
Intern: “This story has 12M reads, 80K comments, and fans writing spin-offs.”
Exec 2: “So… built-in demand?”

Silence.

—

This is where it gets uncomfortable.

Because on one hand, this feels obvious:
why gamble on taste… when the internet already told you what works?

You’ve got real signals:
people investing time, emotion, community.

That’s stronger than a pitch deck.

But on the other hand…

Are we quietly killing originality?

If every greenlight starts with “prove demand first,”
you don’t get weird, risky, breakout ideas.

You get optimized ones.

And optimization rarely creates culture.

It follows it.

—

So what does a studio become?

A creator?
Or a curator of what the internet already validated?

Because if you’re just picking winners from AO3 and Wattpad…
you’re not inventing stories anymore.

You’re packaging them.

—

And then there’s taste.

For decades, “taste” was the moat.
The exec who just knew.

Now?

An algorithm walks in with a spreadsheet:
“These 10 stories outperform everything.”

Do you trust it?

Or do you still bet on instinct?

—

Exec 1: “What if the data’s wrong?”
Exec 2: “What if it’s right… and we ignore it?”

That’s the real tension.

This isn’t just a new source of IP.
It’s a shift in how decisions get made.

From gut… to proof.

And once that shift happens…
there’s no going back.

There are two types of people:
those waiting for ideas… and those sitting on them early.
NTE Pro is where ideas show up before they look obvious.
Some are weird. Some are wrong. A few are unfair.
6,500 ideas deep.
Sign Up if you’d rather be early than right

Most people learn about companies after they’re obvious.
WhoFiled shows you what’s forming before it is.
Filings, launches, momentum - clean, fast, actionable.
Not noise.
Just what matters early.
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One More Meme