Dr. Marcell Vollmer #StaySafe #CES2026 engagement report
@mvollmer1 - 92K followers on X
Measured over 28 original posts from a 30-day window, last computed on September 20, 2026.
Engagement
A typical post picks up 46 interactions against 92K followers, an engagement rate of 0.049%. Measured over 28 original posts, its engagement rate beats 39% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 937 times each, and 4.86% of those impressions turn into an interaction. That is about 1.02% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 08:00 UTC, and Saturday is the busiest day of the week. Of the 28 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 886 interactions, about 19x its own typical post. Recurring topics include #innovation, #robots, #engineering.
Measured over 28 original posts from a 30-day window, last computed on September 20, 2026. Recurring tags: #innovation, #robots, #engineering.
Compared with accounts its own size
Dr. Marcell Vollmer #StaySafe #CES2026's engagement rate beats 39% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 7 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 85% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.049%, Dr. Marcell Vollmer #StaySafe #CES2026 sits above the 25th percentile of the 205,261 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 08:00 UTC, and Saturday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 100% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 832 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Aug 10, 202619x their median
800 km/h in just 5.3 seconds?! China's maglev test train just set another world record - and it did it without wheels. The frictionless future is moving at full speed. #CoolChina https://t.co/QrEK21jRo6
- May 19, 20247.3x their median
Mercedes Evolution 1900 to 2024 🚘 #innovation #tech #AutonomousVehicles #SelfDrivingCars #electriccars #ElectricVehicles #Automotive HT @TheFigen_ v/ @ICEcoolMAN @jblefevre60 @FrRonconi @CurieuxExplorer @bamitav @enilev @Nicochan33 @Khulood_Almani @HaroldSinnott @Shi4Tech @ipfconline1 @IanLJones98 @TerenceLeungSF @BetaMoroney @Eli_Krumova @AndrewinContact @anand_narang @enricomolinari @segundoatdell @sallyeaves @PawlowskiMario @QodeNext @dansar39 @RecodeSolution_ @guidaautonoma @PierianInfo @Verinite @giga_labs @Appinventiv
- Sep 7, 20261.5x their median
BYD says its Flash Charge technology can take a battery from 10% to 97% in around nine minutes. At that point, charging time starts to look much less like the main limitation of electric mobility. The bottleneck shifts elsewhere. High-power chargers. Grid capacity. Cooling. Cable design. Battery longevity. And whether enough locations can economically support that level of power. For drivers, this could bring charging much closer to the convenience of a fuel stop. For infrastructure operators, however, faster charging means significantly higher peak loads and more demanding hardware. That makes ultra-fast charging more than a battery innovation. It changes the requirements of the entire charging ecosystem. The vehicle may soon be ready in nine minutes. The bigger question is whether the infrastructure around it can keep up. Source 👏🏼 Alvin Foo
- Sep 18, 2026
AI-powered farming is moving closer to fully autonomous production. Systems can now plant, monitor, and harvest crops with limited human intervention. That could improve consistency, reduce labour shortages, and make agriculture more resource-efficient. But there is also a broader societal question. If more of food production becomes automated, who benefits from the productivity gains? Large farms may be able to invest in robotics, data infrastructure, and proprietary platforms. Smaller farms may struggle to keep up. That could make agriculture more efficient while also making it more concentrated. There are other trade-offs too. Dependence on software increases. Technical failures become operational risks. And knowledge that once sat with farmers may gradually move into platforms, algorithms, and equipment providers. Autonomous farming could help produce more with fewer resources. But efficiency alone should not define progress. Access, resilience, ownership, and the future of rural work matter as well. Source 🙏🏻 @Ronald_vanLoon
- Sep 5, 2026
AI tools become much more useful once they stop being treated like magic. Claude is a good example. Used casually, it is a chatbot. Used with projects, connected tools, clear instructions, current search, and proper guardrails, it can become part of a repeatable workflow. That difference matters. The quality of the model is only one variable. Context quality. Permissions. Task design. Review. Privacy. And clear boundaries around what the system should and should not do are just as important. This is also why “better prompts” are often overrated. The stronger advantage comes from designing a better setup around the tool. Good AI usage is less about asking smarter questions. It is about building a system that produces reliable work consistently. Source 👏🏼 Adam Biddlecombe
- Sep 14, 2026
Every company has one process like this. Nobody designed it. Nobody owns it. Nobody fully understands why it still works. It survived three reorganizations, two system migrations, and at least one transformation program. Then someone asks: “Can we simplify this?” Silence. Sometimes legacy systems are not really systems. They are organizational folklore held together by Excel, workarounds, and one employee who knows where everything is. If it works, don’t touch it. If it breaks, call the person who retired in 2022. @IanLJones98 @NevilleGaunt @bamitav @altiamkabir @sijlalhussain @marcusborba @jblefevre60 @Nicochan33 @TerenceLeungSF @KirkDBorne @CurieuxExplorer @enilev @Eli_Krumova @pascal_bornet @anand_narang @sulefati7 @Xbond49 @Hana_ElSayyed @engmlubbad @Timothy_Hughes @mcanducci @RLDI_Lamy @segundoatdell @engmlubbad @rvp @ipfcoline1 @PatGrant7777 @NigelTozer @Ronald_vanLoon @pierrepinna @Khulood_Almani @BetaMoroney @AKWY
- Sep 16, 2026
Range anxiety has reached a new level. When your EV needs its own trailer-mounted powerbank, something has clearly gone off-script. Funny? Absolutely. But it also points to a real infrastructure issue. Battery capacity keeps improving, yet charging access, speed, and grid availability still vary significantly by region. If drivers start solving that gap with mobile battery packs, the problem is no longer the vehicle alone. It is the ecosystem around it. The EV transition will not be won by bigger batteries alone. Reliable charging infrastructure still matters. And ideally, your powerbank should fit in the glovebox. Source 🙏🏻@dedaselectricas
- Sep 13, 2026
AI agents are often discussed as if autonomy comes automatically with a better model. It does not. A chatbot that waits for instructions, lacks access to business systems, and forgets previous work is still primarily a conversational interface. Agents become more useful when several capabilities come together: access to tools, relevant context, persistent memory, and the ability to act when predefined conditions are met. At that point, AI starts moving from answering questions to participating in workflows. That also changes the management problem. Permissions need to be limited. Actions need to be observable. Exceptions need escalation paths. And someone still needs to remain accountable for the outcome. The next phase of enterprise AI will therefore be less about giving everyone a smarter chatbot. It will be about building systems that can act reliably without requiring constant prompting.
- Sep 10, 2026
Wind energy does not necessarily need blades. Spanish startup Vortex Bladeless has spent years developing a system that generates electricity through oscillation instead of rotation. A flexible mast moves with alternating vortices in the wind, and that motion is converted into electrical energy. The design removes several components found in conventional turbines. No blades. No gearbox. No bearings. That could reduce maintenance, noise, and mechanical complexity. But the current limitation is scale. Its largest working prototype is around 2.75 metres tall and produces only about 100 watts. So this is not yet a replacement for conventional wind turbines. It is better viewed as a different architecture that may fit niches where simplicity, low maintenance, or compact form matter more than maximum output. Alternative designs become valuable when they solve a specific constraint better, not simply because they look different. Source 🙏🏻 @IntEngineering @IanLJones98 @NevilleGaunt @bamitav @altiamkabir @sijlalhussain @marcusborba @jblefevre60 @Nicochan33 @TerenceLeungSF @KirkDBorne @CurieuxExplorer @enilev @Eli_Krumova @pascal_bornet @anand_narang @sulefati7 @Xbond49 @Hana_ElSayyed @engmlubbad @Timothy_Hughes @mcanducci @RLDI_Lamy @segundoatdell @engmlubbad @rvp @ipfcoline1 @PatGrant7777 @NigelTozer @Ronald_vanLoon @pierrepinna @Khulood_Almani @BetaMoroney @AKWY
- Sep 12, 2026
Friday deployment: 16:55 — “Should be fine.” 17:07 — “Interesting.” 17:12 — “Who changed that?” 17:30 — Weekend cancelled. Source 🙏🏻 @pascal_bornet @IanLJones98 @NevilleGaunt @bamitav @altiamkabir @sijlalhussain @marcusborba @jblefevre60 @Nicochan33 @TerenceLeungSF @KirkDBorne @CurieuxExplorer @enilev @Eli_Krumova @anand_narang @sulefati7 @Xbond49 @Hana_ElSayyed @engmlubbad @Timothy_Hughes @mcanducci @RLDI_Lamy @segundoatdell @engmlubbad @rvp @ipfcoline1 @PatGrant7777 @NigelTozer @Ronald_vanLoon @pierrepinna @Khulood_Almani @BetaMoroney @AKWY
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 46 interactions against 92K followers, an engagement rate of 0.049%. Measured over 28 original posts, its engagement rate beats 39% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 937 times each, and 4.86% of those impressions turn into an interaction. That is about 1.02% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 08:00 UTC, and Saturday is the busiest day of the week. Of the 28 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 886 interactions, about 19x its own typical post. Recurring topics include #innovation, #robots, #engineering.
- What is Dr. Marcell Vollmer #StaySafe #CES2026's engagement rate on X?
- Dr. Marcell Vollmer #StaySafe #CES2026 (@mvollmer1) has an engagement rate of 0.049%, based on the median interactions across 28 original posts from the last 30 days against 92,292 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.049%, Dr. Marcell Vollmer #StaySafe #CES2026 sits above the 25th percentile of the 205,261 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @mvollmer1 have real engagement?
- Its engagement rate beats 39% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @mvollmer1 post?
- Most posts go out around 08:00 UTC, and Saturday is its busiest day, at roughly 1.8 posts per day across the measured window.