Starbooked

DeepFindr (@deepfindr), a machine learning and data science educator based in Germany, makes long-form tutorials on topics such as graph neural networks, diffusion models and dimensionality reduction. The channel has about 46,800 subscribers and a median of roughly 21,500 views per video, posting irregularly with no uploads in the last 90 days. Sponsored integrations are quoted at $450 to $1,050 per video.

Why brands book DeepFindr

Technical ML audience with strong views on long tutorials

  • About 46,800 subscribers and roughly 21,500 median views per video across 57 uploads.
  • Top video, a Vision Transformer guide, reached about 215,000 views; the diffusion models video reached about 329,000.
  • Brand read for Brilliant already appears in several recent descriptions, showing an education-sponsor fit.
Best fordeveloper tools and cloud computeonline courses and technical educationAI APIs and model hosting
Watch forUploads have stopped since mid 2024, so pace and recency are uncertain.

Brand fit report

Content

Topics, IAB taxonomy
Science70%
Technology & Computing30%
Formats
long-form tutorial with screen recording, paper walkthrough with diagrams, code notebook walkthrough
Tone
educational, precise
Language
English
On camera
No, voiceover and b-roll
Production
Clean, lightly edited
Typical length
12 to 30 minutes

Audience

Commercial intent15/100
Comments asking for links, prices or where to buy
Sentiment80/100
Estimated from titles, descriptions and engagement
Engagement2.8%
Likes and comments per view on recent videos
Audience asks abouthow to implement the model in PyTorchwhich paper or resource to read firsthow the method compares to alternatives
Age
25%18-24
45%25-34
20%35-44
10%45+
Gender
20%women
80%men
Countries
🇺🇸 United States25%
🇮🇳 India12%
🇩🇪 Germany8%
🇬🇧 United Kingdom8%
LanguagesEnglish 100%

Commercial

0%of the last 50 videos were sponsored
Ad readseparate sponsor segment
Brands seen
Brilliant
Categories promoted
online education
Affiliate links
Yes

The description of 'Dimensionality Reduction Techniques (3/5)' promotes Brilliant with a 30-day free trial and a 20% discount link, which is a sponsor read, though the channel's sponsored share is recorded as zero in its metrics.

Suitability GARM Brand Safety Floor + Suitability

Profanitylow
Adultlow
Drugslow
Violencelow
Politicslow

Family friendly
No flagged content in the recent titles or descriptions; topics are technical machine learning tutorials.

We classify content, never people. No age, gender, ethnicity, religion or political views are inferred about the creator. Audience figures are estimates unless marked verified. Creators can correct anything on their profile.

Platforms

PlatformFollowersMedian viewsUploads, 90d
YouTube47k21k0

Benchmark score: 59 / 100

Public rule, same for everyone. How it works.

Engagement Median views relative to followers50 / 50
Activity Uploads in the last 90 days0 / 30
Reach Followers on the main platform9 / 20

Recent videos

Last three uploads, latest 896 days ago.

Hello and welcome on my Channel :) I make videos about all kinds of Machine Learning / Data Science topics and am happy to share what I've learned. If you enjoy the content and want to support me (only if you want!), these are the current options: ►Share this channel: https://bit.ly/3zEqL1W ►Support me on Patreon: https://bit.ly/2Wed242 ►Buy me a coffee on Ko-Fi: https://bit.ly/3kJYEdl Contact: deepfindr@gmail.com Website: deepfindr.github.io
DeepFindr's own profile description on YouTube

Are you DeepFindr? Claim or remove this profile.

About DeepFindr

DeepFindr is a German-based channel run by a creator who makes long-form machine learning and data science tutorials in English. Based on the channel's public data, the videos cover graph neural networks, transformers, diffusion models and dimensionality reduction, usually with paper walkthroughs and notebook code. The channel has about 46,800 subscribers and 57 uploads, but its last upload was about 900 days ago, so it is largely an archive.

The audience appears to be technically trained, with an estimated skew toward men aged 25 to 34 and viewers in the United States, India and Germany. These demographic figures are estimates derived from the content, not measured data. Engagement is solid, with a median of roughly 21,500 views per video and an engagement rate of about 2.8 percent.

Brands that sell developer tools, cloud infrastructure or online technical courses are the best fit. Estimated sponsored rate is $450 to $1,050 per video, which is roughly $20 to $35 CPM on median views, versus typical paid-ad CPMs of $10 to $30.

Written from DeepFindr's public YouTube profile, platform data and web mentions. Numbers updated 2026-10-19. DeepFindr can edit or remove this page at any time.

Questions about DeepFindr

How much does DeepFindr charge for a sponsored video?

Based on the channel's median of about 21,500 views and the long-form CPM range of $20 to $35, a sponsored integration is estimated at $450 to $1,050 per video. Final pricing depends on format and deliverables.

What does DeepFindr post about on YouTube?

DeepFindr posts long-form tutorials on machine learning and data science, including graph neural networks, transformers, diffusion models and dimensionality reduction. Videos typically run 12 to 30 minutes and often include notebook code and paper walkthroughs.

How do I contact DeepFindr for a brand deal?

Contact details unlock on Starbooked for $0.80. The channel is not currently boosted, so it cannot be booked directly through Starbooked, but the unlocked contact details can be used to reach out.

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