We help organizations build tailored AI systems to solve the world’s hardest problems.
Subscribers
16.2K
400measured · last 30 days
Total Views
1.24M
17.4Kmeasured · last 30 days
Videos
117
We help organizations build tailored AI systems to solve the world’s hardest problems.
Evidence-based intelligence for Mistral
Mistral is in solid overall health (62/100). With 16.2K subscribers and 1.7% engagement, growth is currently steady, measured at about 180 new subscribers over 30 days. A publishing cadence of 4.0 videos per week sustains reach, and momentum scores 74/100. Estimated ad revenue is around 70 per month. Confidence in this assessment is medium given 30 days of measured history.
Health
62/100
Momentum
74/100
Consistency
94/100
Engagement
28/100
Est. revenue
70/mo
Trend
Steady
Synthesised deterministically from this page’s metrics. Revenue is an estimate ($70/mo likely). Confidence reflects how much measured history is available.
Tracking · started Aug 6, 2026 · 31 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.
Subscriber growth is steady: 100 subscribers over the last 7 days (0.617% of the base), with velocity up 0/day versus the prior week. Measured
Measured daily since Aug 6, 2026; earlier points are modeled estimates.
Computed from 31 daily snapshots — measured, not estimated. Ranked #106 of 141 tracked creators (best #40).
Daily gain
0
latest measured day
7-day gain
100
30-day gain
400
Avg / day
13
across 30 days
Peak day
100
Aug 10, 2026
Acceleration
0/day
vs prior week, subs/day
Estimated viewer distribution by country — Low confidence, inferred from public signals, not private analytics.
Near-daily creator · 4.0 uploads/week · most common day Thursday · consistency 68/100.
Scores are computed transparently from the public metrics shown on this page — size, momentum, engagement depth and publishing cadence. Engagement of 1.7% = (avg likes 39 + avg comments 5) ÷ avg views 2.6K across recent uploads. Activation 16% means each upload reaches that share of subscribers; 1.9 comments per 1k views reflect discussion depth.
Mistral is a technology channel with 16.2K subscribers and 1.24M lifetime views. Growth is accelerating, with 180 subscribers added in the last 30 days. Engagement runs at 1.7% and uploads average 4.0 per week. Overall, MetrixAll scores this channel 62/100 — a strong performer with clear momentum.
Evidence-based report for Mistral
Mistral is a technology channel with 16.2K subscribers, 1.24M lifetime views and 117 videos. Live
Across 30 days of daily tracking it gained 100 subscribers in the last 7 days. Measured
Within MetrixAll's tracked cohort it ranks #106 of 141 by subscribers (best #40). Measured
Subscriber growth is steady: 100 subscribers over the last 7 days (0.617% of the base), with velocity up 0/day versus the prior week. Measured
Its strongest measured day added 100 subscribers. Measured
Upload cadence averages 4.0 videos per week, at or above the 4.0/week median of similar Technology channels. Publicly inferred
Engagement runs at 1.7% (likes + comments per view), trailing the 3.4% median of comparable channels. Publicly inferred
Average views reach 16.1% of the subscriber base per upload — a sign of loyal, returning viewers. Live
Why the momentum score
Publishing cadence is 4.0 videos per week — a high-frequency schedule that maximises algorithmic surface area. Live
Format mix skews to long-form — 0 of 9 recent videos are Shorts (≤60s), with long-form averaging 10 min. Live
Topic focus is concentrated in Technology, with evergreen pull that keeps older uploads circulating. Publicly inferred
At the current measured pace of 14/day, MetrixAll projects roughly 1.26K additional subscribers over the next 90 days. This projection assumes recent measured trends continue and is not a guarantee. 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 Mistral
30 days
16.6K
+420
Medium confidence
90 days
17.5K
+1.26K
Medium confidence
180 days
18.7K
+2.52K
Low confidence
12 months
21.3K
+5.11K
Low confidence
Monthly Estimate
$70likely
Annual Estimate
$843likely
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.
3:14Introducing Mistral OCR 4
2 months ago Watch
1:59Introducing Robostral Navigate
1 month ago Watch
5:02Mistral and Microsoft Expand Global Strategic Partnership to Give Enterprises AI They Can Control
1 month ago Watch
17:53Build a document processing workflow in 30 minutes
3 months ago Watch
42:44Opening keynote | AI Now Summit 2026
2 months ago Watch
8:13Generate playable HTML5 games with Mistral Medium and GLM
8 days ago Watch
6:36Build a database advisor agent with a custom DeepWiki Connector
1 month ago Watch
5:02Mistral and Microsoft Expand Global Strategic Partnership to Give Enterprises AI They Can Control
1 month ago Watch
2:44Automate tasks using skills and Connectors in Vibe
1 month ago Watch
3:18Introducing versioned prompts and skills in Studio
1 month ago Watch
1:59Introducing Robostral Navigate
1 month ago Watch
42:44Opening keynote | AI Now Summit 2026
2 months ago Watch
3:14Introducing Mistral OCR 4
2 months ago Watch
17:53Build a document processing workflow in 30 minutes
3 months ago Watch
Channel created
Joined YouTube · Feb 20, 2024 · Feb 20, 2024
Mistral4 connections · line thickness = tie strength
Mistral 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 Mistral in category and scale.
Generated from publicly available signals and statistical models — not private platform data.
