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Evidence-based intelligence for Richard Yu
Richard Yu is in solid overall health (68/100). With 86.4K subscribers and 3.7% engagement, growth is currently still being measured. A publishing cadence of 2.0 videos per week sustains reach, and momentum scores 72/100. Estimated ad revenue is around 183 per month. Confidence in this assessment is low given 2 days of measured history.
Health
68/100
Momentum
72/100
Consistency
78/100
Engagement
62/100
Est. revenue
183/mo
Trend
Collecting
Synthesised deterministically from this page’s metrics. Revenue is an estimate ($183/mo likely). Confidence reflects how much measured history is available.
Tracking · started Sep 19, 2026 · 3 daily snapshots · last updated today. Measured points override the model. Dashed segment is a 6-month projection from the recent pace — an estimate, not a guarantee.
Estimated subscriber growth is accelerating, with about 1.03K added in the last 30 days. Estimated
Measured daily since Sep 19, 2026; earlier points are modeled estimates.
Computed from 3 daily snapshots — measured, not estimated. Ranked #120 of 170 tracked creators (best #119).
Daily gain
1.6K
latest measured day
Avg / day
300
across 2 days
Peak day
1.6K
Sep 21, 2026
Estimated viewer distribution by country — Low confidence, inferred from public signals, not private analytics.
Multiple times weekly · 2.0 uploads/week · most common day Friday · consistency 67/100.
Scores are computed transparently from the public metrics shown on this page — size, momentum, engagement depth and publishing cadence. Engagement of 3.7% = (avg likes 1.42K + avg comments 51) ÷ avg views 40.4K across recent uploads. Activation 47% means each upload reaches that share of subscribers; 1.3 comments per 1k views reflect discussion depth.
Richard Yu is a technology channel with 86.4K subscribers and 3.29M lifetime views. Growth is accelerating, with 1.03K subscribers added in the last 30 days. Engagement runs at 3.7% and uploads average 2.0 per week. Overall, MetrixAll scores this channel 68/100 — a strong performer with clear momentum.
Evidence-based report for Richard Yu
Richard Yu is a technology channel with 86.4K subscribers, 3.29M lifetime views and 98 videos. Live
Daily measured history is still being collected (3 snapshots so far); growth figures below marked Estimated use a statistical model until enough history accrues. Measured
Within MetrixAll's tracked cohort it ranks #120 of 170 by subscribers (best #119). Measured
Estimated subscriber growth is accelerating, with about 1.03K added in the last 30 days. Estimated
Upload cadence averages 2.0 videos per week, below the 3.2/week median of similar Technology channels. Publicly inferred
Engagement runs at 3.7% (likes + comments per view), stronger than the 2.5% median of comparable channels. Publicly inferred
Average views reach 46.8% of the subscriber base per upload — a sign of loyal, returning viewers. Live
Why the momentum score
Publishing cadence is 2.0 videos per week — a steady weekly rhythm. Live
Format mix skews to long-form — 0 of 10 recent videos are Shorts (≤60s), with long-form averaging 19 min. Live
Topic focus is concentrated in Technology, with evergreen pull that keeps older uploads circulating. Publicly inferred
A measured forecast unlocks after 14 days of daily tracking (12 more days to go). The dashed projection on the growth chart above uses the estimate model in the meantime. Measured
Generated deterministically from the metrics on this page — no private platform data, no fabricated figures. Each statement is tagged with its evidence source.
Projected subscribers for Richard Yu
30 days
87.4K
+1.03K
Low confidence
90 days
89.5K
+3.1K
Low confidence
180 days
92.6K
+6.2K
Low confidence
12 months
99K
+12.6K
Low confidence
Monthly Estimate
$183likely
Annual Estimate
$2.19Klikely
This estimate is generated using publicly available information and statistical models. Actual earnings may differ. Derived from estimated monthly views, category RPM ranges, and engagement-adjusted effective RPM. Ad revenue only — excludes sponsorships, merch, and memberships. The confidence score reflects how much public signal supports the estimate — wider ranges mean lower certainty.
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Channel created
Joined YouTube · Feb 10, 2025 · Feb 10, 2025
4 connections · line thickness = tie strength
Richard Yu connects to 4 entities in the graph — 4 similar. Its strongest tie is Fireship (similar creator, medium confidence). Every edge is derived from real data and labelled with its source — nothing is inferred without evidence.
Channels close to Richard Yu in category and scale.
Generated from publicly available signals and statistical models — not private platform data.