Tubetific is a YouTube intelligence platform: it scans the real YouTube Data API on a recurring schedule and surfaces trending gaps, outlier videos, and untapped niches from that real data — never a scrape, never a third-party estimate, and never a fabricated number standing in for one. This page explains, plainly, what the product actually does, where its data comes from, what it doesn't yet do, and the honesty rule that governs every signal it ships.
Tubetific runs a background scanner against the real YouTube Data API across 120 tracked niches and 50 countries, refreshed on a fixed schedule (trending/outlier data roughly every 6 hours, niche trend tables every 3 days). That data feeds a set of research signals — outlier detection, content gap analysis, RPM intelligence, rank tracking, and more — built to help creators decide what to make before they invest production time, not just optimize a video after the fact. SAGE, Tubetific's AI research assistant, is powered by Claude (Anthropic) and is explicitly gated: it analyzes real, verified YouTube data and never fabricates a result when that data isn't available.
Real YouTube Data API signals only — see the Features page for exactly which of the 20 named signals are live today versus still on the roadmap, stated plainly rather than blurred
RPM Intelligence figures are labeled as industry-benchmark estimates, not live-measured revenue, whenever that distinction applies
Free to start, with paid tiers adding higher usage limits and SAGE — see Pricing on the homepage
Not affiliated with YouTube or Google
No fabricated author bios or social proof: this About page describes the organization and product honestly rather than inventing a founder story or team photos that don't exist yet
The scanner runs against the real YouTube Data API on a fixed schedule
Rather than a one-time crawl, a background job re-checks each tracked niche and country combination on a recurring cadence, so the signals reflect current activity rather than a stale snapshot from whenever a creator happens to visit the page.
Results are cached briefly, then re-checked
To avoid hitting YouTube's API more than necessary, results are cached for a bounded window (a few hours, depending on the signal) rather than re-fetched on every single page view — the cache window is a real, stated tradeoff between freshness and API usage, not an arbitrary delay.
Signals are surfaced through dedicated feature pages, not buried in raw data
Rather than exposing a raw data dump, each live signal (Outlier Detection, Content Gap Analysis, RPM Intelligence, Rank Tracker) has its own page explaining exactly what it measures, how it's calculated, and its real limitations — the same standard this About page holds itself to.
SAGE is layered on top of the same real data, not a separate source
When SAGE analyzes a niche or a channel, it's reading the same underlying scan results the dedicated feature pages show, not a separate model-generated guess — if the real data needed to answer a question isn't there, SAGE says so rather than filling the gap with a plausible-sounding but invented answer.
Example
What the honesty-first rule looks like in a specific, real scenario
A creator checks Outlier Detection for a niche/country combination with genuinely low upload activity in the last 72 hours
Rather than lowering the qualification bar or showing an older result labeled as current, the scan returns an empty result for that window
The same rule applies to RPM Intelligence: a niche isn't given an invented number if it hasn't been researched and cross-checked yet — it's simply not listed until it has
This is a deliberate product decision, not a limitation being spun positively: showing nothing is treated as more honest than showing something wrong
Result: This is the concrete behavior behind the phrase 'if real data isn't available, the analysis doesn't run' — a rule that's checkable by actually using the product, not just a claim on this page.
Plain-language labeling of estimates vs. live data
RPM Intelligence figures are explicitly labeled as industry-benchmark estimates rather than live-measured revenue; Outlier Detection and Content Gap Analysis are explicitly labeled as live, API-driven signals. The distinction is stated on each relevant page rather than left for a user to assume.
A stated, bounded scope instead of an unlimited claim
120 niches and 50 countries is a real, specific number, not 'every niche' or 'every country' — the scope is documented so a creator can quickly check whether their specific niche and market are actually covered before relying on the data.
SAGE gated to real data, not free-form generation
SAGE's responses are grounded in the same verified scan results the rest of the product surfaces, with an explicit rule against fabricating an answer when the underlying data isn't there — the same standard applied to every other signal on the platform.
Free tier that doesn't require an existing channel
The core live research signals work against target niche and market data rather than a creator's own channel history, so a brand-new channel with zero prior data can still use Outlier Detection, Content Gap Analysis, and RPM Intelligence meaningfully from day one.
Documentation kept consistent across pages, not just on this one
The same live-vs-roadmap distinction, the same RPM estimate-vs-live-data labeling, and the same plan pricing figures are meant to match across the Features page, each individual feature page, and this About page — inconsistency between pages describing the same fact would itself be a real, checkable problem, not just a wording nitpick.
Is Tubetific affiliated with YouTube or Google?
No. Tubetific is an independent product that uses the public YouTube Data API; it has no affiliation with YouTube or Google.
Does Tubetific ever make up data when it doesn't have real numbers?
No — this is a hard rule stated directly on the Features page: if real YouTube data isn't available for a given check, the analysis doesn't run rather than returning an invented result.
Who is SAGE and is it a real person?
SAGE is an AI research assistant feature powered by Claude (Anthropic), not a person. It's grounded in your real channel and niche data rather than generic advice.
How can I contact Tubetific or ask a question?
Tubetific doesn't yet have a dedicated support inbox listed publicly on this page. The Blog and Features pages cover most product questions in depth; broader contact options will be added here as they become available.
How often is the underlying YouTube data actually refreshed?
It varies by signal, and this is stated directly rather than left vague: outlier and trending scans run roughly every 6 hours per niche/country combination, while broader niche trend tables refresh roughly every 3 days. RPM Intelligence figures are a maintained reference table, not a live per-check scan, and that distinction is called out on the RPM Intelligence page itself.
Why does Tubetific track exactly 120 niches and 50 countries instead of every possible niche?
Those are the niches and countries currently built into the scanning taxonomy and reference data. It's a real, bounded scope rather than an unlimited claim -- expanding coverage is possible but each addition requires real setup (taxonomy definitions, RPM reference research, scan configuration), not just a database toggle.
Does Tubetific show every one of its 20 named signals as available today?
No, and the Features page is explicit about this: of the 20 signals in the product's taxonomy, 5 are live with a working endpoint today, and the other 15 are named, real roadmap items rather than something already shipped. This page and the Features page are kept consistent on that count deliberately.
What happens if the YouTube Data API is temporarily unavailable?
Signals that depend on a live API call simply don't return a result during an outage, rather than falling back to a cached guess presented as current data. This is the same honesty-first rule applied consistently: a temporarily missing real answer is preferable to a fabricated one.
Does Tubetific publish a public roadmap for the 15 not-yet-live signals?
The Features page names all 20 signals and states directly which 5 are live versus which 15 are still roadmap items, but it doesn't currently commit to specific ship dates for each one -- committing to dates for features that depend on real data-pipeline work would risk becoming a promise this page can't honestly keep.
Is the product still actively being developed, or is this a finished, static tool?
It's actively developed -- the gap between the 5 live signals and the full 20-signal taxonomy is itself evidence of that, as is the fact that this very page and several others were substantially rewritten as part of an ongoing SEO and content-quality pass rather than left untouched since launch.