The Tech StorytellerBook a call ↗

LUKAS TIMM / MEDIA KIT / OCTOBER 2026

You build deep tech.
I make people get it.

Engineering-led stories for robotics, sensors and AI. From a clear product feature to a real experiment with your technology.

Mechanical engineer. Ten years in automotive, LiDAR and simulation. Now building, testing and telling stories from the dojo.

Two ways to work together ↓Download PDF ↗
Compilation from our own work: physical ECO65 and Ouster LiDAR, DIY sensor, phone SLAM, room reconstruction and digital twinReal hardware · SLAM · reconstruction · digital twin — watch the studio film ↗
LinkedIn365 days
9.16Mimpressions28 Oct 2025–27 Oct 202632,451 followersView native analytics ↗
Instagram30 days
100KviewsNative snapshot · 27 Oct 202699.5% non-follower viewsView native analytics ↗
RedditPast month
108Kpost viewsNative snapshot · 27 Oct 2026272 post + comment upvotesView native analytics ↗

LinkedIn: 9,156,897 impressions · 28 Oct 2025–27 Oct 2026. Instagram and Reddit: monthly snapshots captured 27 October. Different windows; no combined audience total.

01 / WORK TOGETHER

Two starting points.
The scope follows the story.

01

Content & features

from €500 net / post

You provide information and available assets. I turn the product, architecture or application into a story engineers can follow.

  • Product and spec-sheet stories
  • Company, architecture and application features
  • Technical explanations, visuals and film/video treatment as scoped
  • Publication on agreed channels and a results report

Depth, research, visual work and format determine the final quote. Detailed engineering stories belong here too.

02

Practical production
& development

from €1,200 net / project

You provide hardware, software or access. I develop the concept, set up, test or build as agreed, and turn the actual work into content.

  • Sensors, robots, software and engineering tools
  • Storyline, agreed experiment or implementation
  • Production and distribution on agreed channels
  • Optional finished assets for your own channels

We agree feasibility, access and integration first. The scope sets the quote; observations and limitations stay honest.

All prices exclude VAT. Deliverables, channels and reporting are agreed before booking. Reuse, paid advertising, exclusivity and editable sources can be scoped separately within either offer.

02 / AUDIENCE FIT

Engineering depth.
New audiences finding it.

LinkedIn: the engineering base

32,451 followers, built around automotive, perception, simulation and technical systems. The 365-day visibility of these stories: 9,156,897 impressions across the broader engineering audience.

Senior-level followers35%
Motor vehicle manufacturing28%

Native follower demographics, 27 October. These groups overlap; they are not a combined target-audience share.

Instagram: discovery beyond followers

99.5%

of views came from non-followers.

Native Instagram, last 30 days, captured 27 October. 100,043 views and 75,168 viewers. Small account, broad discovery.

+165Instagram followers gained
Publer · 29 Sep–26 Oct
6,403YouTube views
28 Sep–25 Oct
+35YouTube net subscribers
28 Sep–25 Oct
108KReddit organic post views
Past Month · repeat views included

Instagram follower snapshot: 176 native on 27 October; Publer’s earlier endpoint: 169. YouTube: 149 subscribers and 46.4 watch hours in its reported period. Reddit distribution is community-led and is not a booked advertising placement.

Actual CO2 Roadster reel and native Instagram analytics showing 35,217 views

ONE REAL EXAMPLE / INSTAGRAM

Give people an engineering question worth answering.

The CO₂ Roadster reel asks why a simulated flying-car concept loses lift. Viewers can compare four options and discuss the physics.

35,217views225saves127followers attributed

Native lifetime reel insights, 27 October. Independent simulation experiment; not a sponsored-result forecast.

Watch the reel ↗

03 / SELECTED WORK

Here’s what that looks like.

Real published work. Original artwork and actual video frames, with links to the full stories.

Published synera example: actual post artwork or frame

01 / CONTENT & FEATURES

Synera: make the architecture clear.

A layered visual and an engineering-led explanation of agents, workflows and solvers.

85 reactions · 7 comments

Open the original post ↗
Published autowash example: actual post artwork or frame

01 / CONTENT & FEATURES

Autowash: start with the operator’s problem.

A spare-parts problem becomes a story about robotic washing, perception and operations.

103 reactions · 15 comments

Open the original post ↗
Published nexar example: actual post artwork or frame

02 / PRACTICAL PRODUCTION

Nexar: run it, inspect it, explain it.

Software setup, selected driving clips and my own viewer. The story includes observed strengths and limitations.

249 reactions · 10 comments

Open the original post ↗
Published cockpit example: actual post artwork or frame

02 / PRACTICAL PRODUCTION

A cockpit you can actually see.

A self-initiated prototype on a real Wisecoco display. Recorded footage processed on my Mac; no fresh sensor capture.

30 reactions · 12 comments

Open the original post ↗

Public LinkedIn reaction and comment counts checked through Apify on 29 October 2026. Comments can include author replies; they are not qualified-lead counts. Examples demonstrate formats, not a claim that every featured company commissioned the work. Nexar is an earlier practical software example from November 2025.

More content & feature examples — all within offer 01
Original Sereact post artworkSereact ↗Robotics architecture & learning loopsOriginal Verne post artworkVerne ↗Robotaxi service & operating ecosystemOriginal LEAP 71 post artworkLEAP 71 ↗Computational engineering explainedOriginal MOVEdot post artworkMOVEdot ↗A partnership in engineering contextOriginal eternal.ag post artworketernal.ag ↗Harvesting requirements & simulation

04 / REACH & RESPONSE

Measure the audience.
Then the response.

Real results vary.

Selected LinkedIn features show why a viral result should not become a sales promise.

Autowash92,422
Verne6,477
LEAP 713,399

Publer Reach = unique impressions per post. Same 0–100,000 scale; cumulative observations captured 27 October, at different post ages. Selected examples, not an average or a guaranteed range. Autowash is the outlier.

What we agree before booking

  1. The audience & objective.Which engineers, teams or buyers should understand what? Choose the channels, format and CTA around that.
  2. The evidence to report.Views or impressions, unique reach where available, video watch metrics, saves and comments. Review substantive technical questions and visible professional context separately.
  3. The follow-through.A dated report, normally at 7 and 30 days. Track UTM clicks where available; enquiries and outcomes need client-side attribution.

Planning assumptions are agreed per brief using comparable recent posts. Historical reach describes what happened; neither views, target-buyer exposure nor leads are guaranteed.

05 / CHECK THE EVIDENCE

The numbers have a source.

Channel snapshots · captured 27 October 2026
ChannelObserved exposureResponseReporting window
LinkedIn personal118,561 impressions
46,653 members reached		1,086 engagements30 Sep–27 Oct
Instagram100,043 views
75,168 viewers		1,309 interactionsNative last 30 days
YouTube6,403 views46.4 hours watched
+35 net subscribers		28 Sep–25 Oct
Reddit108K post views
Includes repeat views		272 post + comment upvotesNative Past Month
Open original analytics screenshots and additional channels
Instagram · native last 30 daysInstagram · native last 30 days ↗YouTube Studio · 28 Sep–25 OctYouTube Studio · 28 Sep–25 Oct ↗LinkedIn · 28 Oct 2025–27 Oct 2026LinkedIn · 28 Oct 2025–27 Oct 2026 ↗LinkedIn · 30 Sep–27 OctLinkedIn · 30 Sep–27 Oct ↗Reddit Pro · Past MonthReddit Pro · Past Month ↗

Additional distribution, chosen for fit: studio LinkedIn page (about 6K followers), TikTok (39.4K views), X (1.7K reported Reach), and an early-stage Substack (75 views). Publer figures: 29 Sep–26 Oct; Substack: native last 30 days. These channels are not automatically included in every booking.

TikTok evidence ↗ · X evidence ↗ · Studio LinkedIn evidence ↗ · Substack evidence ↗

Sources retain their own definitions and windows. No cross-platform total or deduplicated combined audience is claimed. The existing native screenshots are from 27 October; the kit and public example counts were updated 29 October. Channel metric record ↗ · Case-study evidence ↗

LET’S FIND THE STORY

What should people
understand about your technology?

Send the product, your audience and what you want to show. I’ll suggest the right starting point and a clear scope.

lukas@alphavant.com ↗Book a conversation ↗Download PDF ↗