Trend Intelligence

The Live Trend Database: What's Viral in Your Subgenre Right Now

May 14, 2026 · 5 min read

Every Sunday at 03:00 UTC, a Songbrain worker wakes up, hits the TikTok API per subgenre, pulls the top viral clips from the last week and indexes them. Sound-IDs. ISRC codes. The exact second of the song people clipped. The lyric snippets they pasted into captions. Hashtags. View counts. Likes-to-views ratios.

By Sunday afternoon, we have a fresh snapshot of what's actually breaking in 37 subgenres — drift phonk, liquid DnB, deathcore, 4th-gen K-pop, hyperpop, indie shoegaze, modern pop, trap, drill, afrobeats, reggaeton, and more.

This is the data layer that turns Songbrain's analysis from “here's a Virality Score in a vacuum” into “here's how your song fits the trend window your subgenre is in right now.”

Why charts don't cut it

Billboard, Spotify Charts, Apple Music Top 100 — they all share the same flaw: they tell you what already won. By the time a song hits a chart, the viral wave is at or past its peak. If you're trying to time a release against the trend, the chart is two weeks too late.

Even “trending sounds” pages on TikTok and Instagram only show that a soundis trending. They don't tell you the momentin the sound that people clip. They don't break it down by subgenre. They don't expose the lyric snippets in the captions.

What the Trend Database actually stores

subgenreWhich of the 37 subgenres this clip belongs to (e.g. drift_phonk, deathcore, 4th_gen_kpop).

sound_idTikTok's internal sound-ID — lets us tie multiple viral clips back to the same audio.

isrcWhere available, the canonical ISRC of the underlying song.

viral_secThe exact second of the song where the viral clip starts. Sec-precise. This is the secret-sauce field — no other dataset has it.

lyric_snippetsLyric fragments that appear in the captions of viral clips. The line your subgenre actually hooks on.

hashtagsHashtags used by the viral clips. Frequency-weighted across the scrape.

engagementViews, likes, comments, shares, and a derived velocity score (views per day since posting).

How it feeds your song analysis

When you upload a track, Songbrain doesn't just score it in isolation. The fusion stage cross-references your song's hook map against the latest trend snapshot for your subgenre and answers three questions:

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Is your hook timing on the trend window?

If viral clips in drift phonk currently start between 0:10 and 0:22, and your best moment lands at 0:14, you're in the pocket. If your hook is at 1:30, you're building intros for a feed that doesn't scroll past 8 seconds.

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Are your lyric repetitions in line with the captions people post?

If your strongest repeating line happens to match the lyric-snippet pattern in your subgenre, your captions write themselves.

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Is your sound DNA early, on-time, or late?

Your song's CLAP embedding gets compared to the embeddings of this week's viral subgenre clips. We tell you whether your track is leading the wave (early), riding it (on-time), or chasing it (late).

Why we built it ourselves

There's no API for this. The TikTok trends endpoint is opaque and locale-locked. Spotify's “Today's Top Hits” is a curated playlist, not raw data. Chartmetric exists, but it indexes finished charts — not sec-precise clip starts.

So we built the scrape ourselves, with a six-layer cost guard and a strict weekly cadence (Sundays only, 03:00 UTC, kill-switch enabled by default in case anything looks wrong). The result is a dataset that compounds in value with every passing week — one of the few real moats in music tech.

How you actually see the trend data

Three surfaces:

In your song analysis. Look for the “Trend match” field in your report. On-time / Early / Late, plus a one-line explanation.
On the Viral Radar playlist pages. Each of the 37 subgenre playlists shows what's actually breaking in that subgenre this week.
Through the API. GET /api/v1/trends/similar?genre=<subgenre>&position=<sec> returns viral clips near a given timestamp. Useful for A&R tooling and creator-economy platforms.

What the Trend Database doesn't do

It won't predict the next viral genre — anyone who promises that is either lying or selling a course. It tracks what's breaking, not what's coming. But by definition, what's breaking this week tells you what window is open right now, and that's the window you're trying to hit when you decide whether to release on Friday or wait two weeks.