Open preview · the data you'd license
What we see, every day.
A guided walk-through of the OTT viewership feed PeerLogix observes — catalog, coverage, signals, attributed spikes, and the audience-taste atlas. No demo, no sales call. Just the data.
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The actual shows and films we observe.
Every premium streaming service feeds into one panel. These are the top titles being watched right now — observed in the household stream, not surveyed.
| # | Title | Platform | Households | Δ 24h | |
|---|---|---|---|---|---|
| 1 | House of the DragonS03E07 | HBO Max | 3.1K | +2.4% | tentpole |
| 2 | SiloS03E06 | Amazon Prime Video | 2.6K | -24.2% | tentpole |
| 3 | Mushoku Tensei: Jobless ReincarnationS03E04 | Crunchyroll | 2.6K | +67.8% | surge |
| 4 | Rick and MortyS09E10 | HBO Max | 2.2K | +1.8% | |
| 5 | Daemons of the Shadow RealmS01E18 | Crunchyroll | 2.1K | +32.0% | |
| 6 | That Time I Got Reincarnated as a SlimeS04E15 | Crunchyroll | 2K | -28.0% | |
| 7 | ObsessionS01E02 | Peacock | 1.9K | +21.2% | |
| 8 | One PieceS01E11 | Crunchyroll | 1.8K | +7.4% | |
| 9 | Project Hail Mary | Amazon Prime Video | 1.8K | -1.7% | |
| 10 | LionessS03E02 | Amazon Prime Video | 1.7K | +196.4% | surge |
| 11 | Ted LassoS04E01 | Amazon Prime Video | 1.6K | -4.8% | |
| 12 | Star Trek: Strange New WorldsS04E03 | Paramount+ | 1.6K | -18.2% | |
| 13 | Frieren: Beyond Journey's EndS02E08 | Crunchyroll | 1.4K | +4.0% | |
| 14 | Ascendance of a BookwormS04E17 | Crunchyroll | 1.4K | +5.2% | |
| 15 | JUJUTSU KAISENS03E05 | Amazon Prime Video | 1.3K | -1.9% | |
| 16 | The SimpsonsS37E13 | Disney+ | 1.3K | -6.8% | |
| 17 | Jaadugar: A Witch in MongoliaS01E05 | Crunchyroll | 1.2K | +59.4% | surge |
| 18 | The Legend of Aang: The Last Airbender | Paramount+ | 1.2K | -1.8% | |
| 19 | Chainsmoker CatS01E01 | Netflix | 1.2K | -10.8% | |
| 20 | Mortal Kombat II | HBO Max | 1.1K | +1.6% | |
| 21 | Spider-Man: No Way Home | Disney+ | 1.1K | +20.1% | |
| 22 | Game of ThronesS01E01 | HBO Max | 1.1K | -7.8% | |
| 23 | THE GHOST IN THE SHELLS01E04 | Amazon Prime Video | 1K | -10.3% | |
| 24 | Masters of the UniverseS01E05 | Amazon Prime Video | 1K | -0.1% | |
| 25 | Family GuyS24E13 | Hulu | 998 | -8.4% |
A real-time slice of the catalog. 200,000+ more titles sit beneath this top-30 view, every one observed and resolved against a 10-year corpus.
Every major platform — not just one walled garden.
Most measurement vendors see the platform they have a deal with. PeerLogix sees them all.
Top titles on YouTube TV right now
Top titles on Hulu right now
Top titles on Netflix right now
Top titles on fuboTV right now
Top titles on Amazon Prime Video right now
Top titles on Philo right now
Top titles on Crunchyroll right now
Top titles on HBO Max right now
Top titles on Disney+ right now
Top titles on Paramount+ right now
Top titles on Peacock right now
Top titles on Apple TV+ right now
Top titles on AMC+ right now
Top titles on Discovery+ right now
Top titles on Starz right now
Top titles on BritBox right now
Top titles on Shudder right now
Top titles on Sundance Now right now
Top titles on Acorn TV right now
Platform fragmentation IS the story of OTT. PeerLogix is platform-agnostic by design — the only way to see real cross-platform behavior at the household level.
Beyond raw view counts.
Counting heads is noisy. We compute named signals that turn observations into things you can buy on, license against, or trade. Each signal is a different lens on a title's market position.
Niche Attractor
Titles that pull a small, devoted audience that wouldn't otherwise stream. Stand-out fit, not stand-out scale.
For content acquisition · licensing decisions
- 1Frieren: Beyond Journey's End
- 2One Piece
- 3That Time I Got Reincarnated as a Slime
- 4Daemons of the Shadow Realm
- 5Rick and Morty
Subscription Driver
Titles that pull new subscribers in (vs. just entertain existing ones). Net-add lift, not retention.
For hedge funds · subscriber forecasting
- 1Lioness
- 2The Simpsons
- 3Spider-Man: No Way Home
- 4Game of Thrones
- 5Jaadugar: A Witch in Mongolia
Churn Reducer
Titles that prevent existing subscribers from cancelling. Retention lift, measured at the household.
For streamers · renewal prioritization
- 1THE GHOST IN THE SHELL
- 2Frieren: Beyond Journey's End
- 3JUJUTSU KAISEN
- 4Chainsmoker Cat
- 5Project Hail Mary
Regional Outperformer
Titles that over-index in a specific DMA vs. national. Local intensity, not national reach.
For advertisers · DMA-targeted spend
- 1Ascendance of a BookwormMinneapolis4.0×
- 2The SimpsonsPortland OR3.2×
- 3Jaadugar: A Witch in MongoliaMinneapolis3.0×
- 4Rick and MortyChicago2.1×
- 5Ted LassoChicago1.9×
Each signal is purpose-built. Niche Attractor for content acquisition · Subscription Driver for hedge funds · Churn Reducer for streamers · Regional Outperformer for advertisers.
When something spikes, we know why.
Detecting a viewership spike is easy. Knowing what caused it — premiere, platform addition, viral moment, sequel halo — is editorial work. Every spike below is attributed to a verifiable real-world catalyst, with primary-source citations.
Spike detection at panel scale + GPT-5.4 attribution + verifiable sources. This is what makes the data feel real. Updated daily.
The taste-tribe map.
Genres aren't real — people don't sort themselves into "drama" or "thriller." They organize by who watches what together. We mapped that universe: 9,000+ titles into 11 broad tribes, 34 medium sub-clusters, and 13 fine sub-sub-clusters. Tap any cluster to dig in.
Audience-shared taste, mapped. Not what genre a title is — what audiences treat it as. The substrate behind every signal above.
Common questions.
Direct answers to what people ask before getting in touch.
How fresh is this data?
The catalog, platform shares, and signals refresh from a daily pipeline that observes the prior 24-hour window of household streaming activity. The Pulse spike feed (attributed catalysts) regenerates daily from the same observation window. The Atlas taste-tribe map is rebuilt from a longer-tail audience-overlap model and refreshes less frequently — typically weekly. There is no demo or sample data on this page; everything you see is what we observed yesterday.
Where does the data come from?
Direct observation of OTT streaming traffic at the household level — no surveys, no diaries, no panel reconstructions. PeerLogix has been operating this collection method since 2014 and holds two USPTO patents covering household-level streaming measurement. We resolve every observation against a curated 10-year corpus of 200,000+ premium shows and films, so titles, platforms, and episodes line up across our entire history.
What platforms are covered?
Effectively every major U.S. streaming service — Netflix, Disney+, Hulu, HBO Max, Amazon Prime Video, Apple TV+, Paramount+, Peacock, AMC+, Discovery+, Crunchyroll, Philo, fuboTV, and YouTube TV among them. The Coverage section above shows the live distribution of observations across the platforms we measure right now. We do not require a deal with any one platform to see it — that's the whole point.
How is this different from Nielsen or other measurement vendors?
Three differences. (1) Method: we observe actual household streaming directly, not a survey panel projected to a population. (2) Coverage: we are platform-agnostic — we see every major service, not just the ones with which we have a commercial relationship. (3) Granularity: household-level, title-level, daily — with named signals (Niche Attractor, Churn Reducer, Subscription Driver, Regional Outperformer) and verifiable spike attribution, not just gross rating points.
Can I license the underlying feed?
Yes. PeerLogix licenses the daily feed to advertisers (DMA-targeted audience activation), content programmers and rights holders (acquisition and licensing decisions), and institutional investors (sector rotation and earnings forecasts). The fastest path is to request a sample pull — we'll cut a free DMA-level extract for three titles you choose, 48-hour turnaround. Or book a 30-minute call with the founder.
What signal should I use for what?
Niche Attractor for content acquisition and licensing — finds titles that pull a small but devoted audience. Subscription Driver for hedge fund subscriber forecasting — finds titles bringing net-new subscribers in. Churn Reducer for streamer renewal prioritization — finds titles preventing existing subscribers from cancelling. Regional Outperformer for DMA-targeted advertising — finds titles over-indexing in a specific market vs. national. Each signal answers a different commercial question on the same underlying observations.
How do you handle privacy?
PeerLogix measurement operates at the household level, and all observations flow through aggregation and anonymization before any signal we publish is computed. PeerLogix is CCPA and GDPR compliant — full details and the opt-out mechanism are in our privacy policy.