The reach behind the work
Across LinkedIn and X over the past year, the computer vision content drew 4.09 million impressions and 83,000 engagements, and added 11,600 net new followers. Use the switch below to see it all together or one platform at a time.
Reporting window: 30 Jun 2025 to 29 Jun 2026 (365 days).
Overall · LinkedIn + X
Reach over the year
Monthly impressions. Hover any month for the exact numbers.
| Jun 25 | 13,061 | 1.59% |
| Jul 25 | 483,989 | 1.91% |
| Aug 25 | 288,887 | 1.72% |
| Sep 25 | 428,623 | 2.01% |
| Oct 25 | 243,298 | 1.9% |
| Nov 25 | 274,032 | 2.19% |
| Dec 25 | 167,151 | 2.23% |
| Jan 26 | 208,765 | 1.97% |
| Feb 26 | 335,935 | 2.12% |
| Mar 26 | 146,227 | 1.97% |
| Apr 26 | 149,826 | 1.73% |
| May 26 | 194,412 | 1.51% |
| Jun 26 | 130,466 | 1.84% |
| Jun 25 | 320 | 1.25% |
| Jul 25 | 40,745 | 3.66% |
| Aug 25 | 106,950 | 2.34% |
| Sep 25 | 7,616 | 1.77% |
| Oct 25 | 7,299 | 2.97% |
| Nov 25 | 7,730 | 2.9% |
| Dec 25 | 2,543 | 3.58% |
| Jan 26 | 2,452 | 3.87% |
| Feb 26 | 1,004 | 1.1% |
| Mar 26 | 194,236 | 2.43% |
| Apr 26 | 122,886 | 2.63% |
| May 26 | 356,896 | 1.83% |
| Jun 26 | 177,631 | 2.59% |
Platform breakdown
Best days to publish
Followers work at
Audience
By seniority
By role
By industry
Top locations
LinkedIn reports top cities only.
Top posts
- 1TorchScript inference speed testSep 2025· View on LinkedIn184.9K views
- 2Ultralytics YOLOE-26 supportFeb 2026· View on LinkedIn180.8K views
- 3CoreML: YOLO11 on AppleAug 2025· View on LinkedIn131.0K views
- 4YOLO26 ONNX: +75% speedJan 2026· View on LinkedIn116.5K views
- 5MediaPipe vs Ultralytics YOLO PoseJul 2025· View on LinkedIn87.9K views
- 6Real-time pothole detectionFeb 2026· View on LinkedIn71.5K views
What the content looks like
It is hands-on computer vision: real models running on real footage, with code and numbers. These are the pillars the audience shows up for.
Object detection & tracking
Real-time detection, multi-object tracking, counting and zones with Ultralytics YOLO.
Segmentation & pose
Instance segmentation, pose estimation and keypoints on live video.
Model releases & benchmarks
First-look reactions and reproducible speed numbers for new YOLO and vision models.
Edge & deployment
ONNX, TensorRT, CoreML and accelerators like Jetson, Apple and MemryX. Getting models off the laptop and into production.
Applied demos
Pothole detection, number plate reading, PPE, trajectory forecasting, fire and smoke. Vision solving real problems.
Tutorials & teaching
Hands-on guides and code people can actually run, on LinkedIn and X.
Sponsorship & partnerships
Put your product in front of an audience that generates over 4 million impressions a year across LinkedIn and X, shown as an honest, hands-on demo that looks like the rest of the feed instead of an ad. Pick a bundle below or build your own.
Starter
3 sponsored posts
Three posts to put your product in front of a working computer vision audience for the first time.
- ✓3 LinkedIn posts over 2 to 3 weeks
- ✓Your product shown inside a real detection, tracking or segmentation workflow
- ✓Caption written in my own voice, yours to review before it goes live
- ✓Posted Tuesday to Thursday, my strongest reach window
- ✓Impressions, reactions and comments shared with you after the run
Growth
6 sponsored posts
Six posts spread over roughly six weeks so a launch keeps building instead of fading after day one.
- ✓6 LinkedIn posts, paced so the algorithm keeps pushing you
- ✓A mix of formats: live demo, before and after, and a hard benchmark number
- ✓Priority slots on my calendar
- ✓Hooks tested across the run so the later posts land harder
- ✓One repost or boost on the best performer
- ✓Full recap at the end: reach, engagement and the top comments
Technical deep-dive
5 technical posts
Five engineering grade posts for teams that want their product tested in the open, with numbers other engineers can trust.
- ✓5 in-depth technical posts
- ✓Real benchmarks on your model, SDK or hardware (FPS, latency, accuracy)
- ✓Runnable code or a demo your own team can verify
- ✓One post published as a full article on rizwanai.com for lasting SEO and a backlink
- ✓Honest, hands-on framing that earns engineer trust
- ✓Raw numbers and assets handed back for you to reuse
Which package fits your product?
Add-ons
Single sponsored post
One post to test the fit before committing to a bundle.
Cross-post to X
Repackage the post for the X audience for extra reach.
Short demo video
A 20 to 40 second real-time detection or segmentation clip featuring your product.
Blog deep-dive article
A full tutorial on rizwanai.com that keeps earning search traffic and a backlink.
Long-term retainer
A monthly content partnership with priority scheduling and better rates.
Product integration review
An honest, hands-on evaluation of your SDK or hardware.
Something else in mind?
Bespoke campaigns, long-term retainers, event coverage or product reviews. Tell me your goal and I’ll build a partnership around it.
Start a custom partnershipSponsorship FAQ
- Who actually sees a sponsored post?
- On LinkedIn, mostly working software, AI and data engineers, from entry level up to senior, with a strong base in India and Pakistan and a long tail across Europe and the US. On X the audience skews 25 to 44 and US, Japan, India and Pakistan. They work everywhere from small startups to Microsoft, NVIDIA and Amazon.
- What does a sponsored post look like?
- It looks like everything else I post. A real, hands-on look at your product inside a computer vision workflow, like a benchmark, a quick demo or a short build. It reads as content, not an ad, and that is exactly why people stop to watch.
- Do you only say positive things?
- No. The reviews and benchmarks are honest, because this audience can spot hype instantly. We agree what a post will cover before we start, but the opinion stays mine. That credibility is the whole reason a placement here is worth it.
- Which package fits my product?
- Models and APIs do best with a release reaction plus a benchmark, so Growth or the Technical deep-dive. Edge hardware shines in a real-time demo running on your device. Developer tools suit a hands-on tutorial with an integration review. If you are not sure, email me and we will figure it out together.
- How do we start?
- Email me with your product and what you want out of it. I will send back the right package, a timeline and the price, with no pressure to commit.
Want this audience working for your product?
Sponsorships, technical content and product reviews. Tell me what you’re building and who you want to reach.
Figures come from the LinkedIn and X account exports for 30 Jun 2025 to 29 Jun 2026. LinkedIn demographics use its partial top-cities reporting and X infers age, so treat audience splits as directional and the totals as exact.