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 DragonS03E05 | HBO Max | 7.4K | +170.8% | surge |
| 2 | Rick and MortyS09E09 | HBO Max | 4.5K | +84.5% | surge |
| 3 | Mushoku Tensei: Jobless ReincarnationS03E04 | Crunchyroll | 3.2K | -8.4% | tentpole |
| 4 | SiloS03E03 | Amazon Prime Video | 2.5K | -22.3% | |
| 5 | Project Hail Mary | Amazon Prime Video | 2.1K | +2.4% | |
| 6 | One PieceS01E11 | Crunchyroll | 1.8K | -0.6% | |
| 7 | That Time I Got Reincarnated as a SlimeS04E11 | Crunchyroll | 1.6K | -6.6% | |
| 8 | JUJUTSU KAISENS03E09 | Amazon Prime Video | 1.5K | +4.1% | |
| 9 | Frieren: Beyond Journey's EndS02E02 | Crunchyroll | 1.5K | +3.6% | |
| 10 | Daemons of the Shadow RealmS01E15 | Crunchyroll | 1.5K | -28.5% | |
| 11 | The SimpsonsS37E03 | Disney+ | 1.5K | +4.5% | |
| 12 | FROMS04E10 | Philo | 1.3K | +3.9% | |
| 13 | Game of ThronesS01E05 | HBO Max | 1.3K | +8.4% | |
| 14 | King of the HillS15E06 | Hulu | 1.2K | +250.4% | surge |
| 15 | Family GuyS24E14 | Hulu | 1.2K | +6.7% | |
| 16 | Chainsmoker CatS01E01 | Netflix | 1.1K | -8.5% | |
| 17 | The BoysS05E08 | Amazon Prime Video | 1.1K | +4.4% | |
| 18 | Avatar: Fire and Ash | Disney+ | 1K | -2.5% | |
| 19 | Witch Hat AtelierS01E11 | Crunchyroll | 918 | +4.6% | |
| 20 | South ParkS28E05 | Paramount+ | 911 | +5.8% | |
| 21 | Ascendance of a BookwormS04E11 | Crunchyroll | 906 | -19.3% | |
| 22 | X-Men '97S02E05 | Disney+ | 906 | +1.8% | |
| 23 | THE GHOST IN THE SHELLS01E02 | Amazon Prime Video | 893 | -11.0% | new |
| 24 | Widow's BayS01E01 | Apple TV+ | 858 | +0.4% | |
| 25 | The BearS05E06 | Disney+ | 852 | -1.6% |
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 HBO Max right now
Top titles on Crunchyroll 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
- 1The Simpsons
- 2Frieren: Beyond Journey's End
- 3One Piece
- 4Rick and Morty
- 5Mushoku Tensei: Jobless Reincarnation
Subscription Driver
Titles that pull new subscribers in (vs. just entertain existing ones). Net-add lift, not retention.
For hedge funds · subscriber forecasting
- 1King of the Hill
- 2The Simpsons
- 3Family Guy
- 4House of the Dragon
- 5Game of Thrones
Churn Reducer
Titles that prevent existing subscribers from cancelling. Retention lift, measured at the household.
For streamers · renewal prioritization
- 1Frieren: Beyond Journey's End
- 2Chainsmoker Cat
- 3That Time I Got Reincarnated as a Slime
- 4JUJUTSU KAISEN
- 5One Piece
Regional Outperformer
Titles that over-index in a specific DMA vs. national. Local intensity, not national reach.
For advertisers · DMA-targeted spend
- 1Family GuyPortland OR3.0×
- 2King of the HillChicago2.9×
- 3The SimpsonsPortland OR2.8×
- 4That Time I Got Reincarnated as a SlimeMinneapolis2.5×
- 5JUJUTSU KAISENMinneapolis2.4×
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.