Investor overview · private beta live

Streaming has fragmented the watching experience.

pangolinRC works to give the audience back the shows they love, regardless of what service they're on.

Pierre, the pangolinRC host
The problem

Streaming solved supply. It never solved the couch.

As everyone optimizes for the YouTube algorithm, the starts and the time-in-app are held by the streamer, and the content producer if they're lucky. But streamers drive for time-in-app the way any number becomes the target once you measure it, Goodhart's Law in effect. No one is looking out for the quality of the content, or the finish.

Fragmented state

Progress lives inside each streaming app in isolation. There's no cross-service "where am I" for a household, let alone a group.

Solo-only tooling

Every tracker defaults to one viewer. Watching in a home is a matrix of family members: a partner, a kid, a friend with no account and never will have one.

No companion, just a catalog

Recommendation feeds are always compromised by the service they're on. If the next best show for a viewer is on another streamer, they'd never see it.

The product

A cube, a click wheel, and a host named Pierre.

The whole app is a 3D cube: six faces, one for each job. Navigation is an iPod-style click wheel because that gesture already means "browse, don't type." Pierre sits at the center: a keyboard- and voice-driven AI chat host who knows what you're watching and helps you decide what's next.

FEED

The latest drops: async, timecoded co-viewing conversation.

WATCH

The show list. Decide what to watch, cross-service.

PIERRE

Your host. Chat- and voice-driven, keyboard native.

PROFILE

Account, devices, and the room you watch with.

LOG

Your viewing history: a real per-episode rank, not a star.

BROWSE

Get in on it: the join / discovery surface.

Pierre

A modern blend of LLM guide and mascot

Pierre isn't a chat window bolted onto a catalog. He's a character with a face and a voice who happens to be an LLM underneath, with a human-to-human hook, not just a bot answering queries.

Why this is defensible

The asset is the rank, not the recommendation.

Every other layer of streaming, the catalog, the playback, exists for itself, a black box built by each streamer for its own service. That's a commodity a bigger company can replicate in a quarter. What pangolinRC compounds is the one thing that isn't game-able: real per-viewer logging, tied to a real person, a version of viewing data nobody else is collecting cleanly.

Where it stands today

Traction

Early and real, a live product open to a small Founder's Circle cohort, if you want to see the product.

Every figure above is a shipped milestone, not a projection. Detailed user-count and cohort metrics are shared directly with interested investors.

Built on

Stack

Cloudflare Pages Cloudflare Workers D1 R2 Durable Objects Queues KV Cloudflare AI Capacitor / iOS (TestFlight) TVMaze / TMDB Hono
What's next

Roadmap: 1.0.2

The freeze that shipped 1.0.1 clean is lifting for one deliberate theme: the room.

Group / co-watching: "who's in the room"

Real watching is rarely solo, and co-viewers often have no account and never will. Next up: an accountless room-roster concept that Pierre can read and factor into answers, promotable to a real account later.

Pierre chat as a first-class, gradeable thread

Give Pierre conversations their own data model, the full back-and-forth and not a single flattened row, so response quality can be tracked and improved over time.

Why raise, if bootstrapping got this far

The app proved the habit. The panel is what needs capital.

Bootstrapping built the product and will keep it sharp and continuously developing. That part doesn't need outside money. What does: turning that habit into a demographically representative cohort of the US streaming and linear TV audience, large and diverse enough to produce measurement the industry can actually trust. That's a subsidy problem, not a product problem, and it's the same capital problem every real measurement panel, Nielsen included, has always had to solve.

Panel

Pay to stay representative

Partial streaming costs, covered for cohort members selected to mirror the real market, not just whoever downloads the app. In exchange: an honest, hard-to-game signal from actual watch patterns, not a self-reported diary.

Escape velocity

The subsidy tapers as logging gets easier

As Pierre and the click wheel make logging closer to ambient than effortful, the subsidy needed to keep a panelist engaged goes down, while the value delivered back to them keeps going up.

No ads. No compromised feed.

The subsidy is the up front cost. The data gets licensed to an industry that badly needs honest measurement across platforms.

Aggregation theory says the leverage sits with whoever owns the user relationship, not whoever owns the content.

Enough people think about content, pangolinRC obsessively champions the audience.

It's the pure play Roku almost made, but Roku made content too. This year Roku agreed to sell to Fox for $22 billion, a deal expected to close in 2027.

Apple TV and Amazon Prime offer device driven plays of their own, but they have a vested interest in pushing their own content.

That's the position a bundle eventually gets negotiated from, on the demand side. HBO Max riding inside a Disney+ relationship, say, instead of the supply side making that call.

Our own read on aggregation theory. Not a quote from Ben Thompson or anyone else.

Founder

Ted Willett

Ted Willett is a TV marketing professional with 20 years across the industry, from Bravo to Disney. He's carried this concept for a decade. It took until this year and last for vibe-coding tools to get advanced enough to let him pull off the bootstrapped proof of concept he's proud to share.

Founder–market fit

Still a fan, not just a founder

Unlike most B2B-turned-B2C plays, Ted's love of serialized TV keeps him a genuine consumer of the product he's building, which is what's let him bootstrap the B2C play himself rather than needing a team to fake the taste for it.

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