Protocol Labs engagement report
@protocollabs - 125K followers on X
Measured over 17 original posts from a 30-day window, last computed on October 3, 2026.
Engagement
A typical post picks up 31 interactions against 125K followers, an engagement rate of 0.025%. Measured over 17 original posts, its engagement rate beats 31% of 21,185 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 3.9K times each, and 0.805% of those impressions turn into an interaction. That is about 3.07% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 12:00 UTC, and Thursday is the busiest day of the week. Of the 17 posts sampled, 76% carry an image or video, 12% are part of a thread and 35% link out. The account's strongest tracked post pulled 244 interactions, about 7.9x its own typical post.
Measured over 17 original posts from a 30-day window, last computed on October 3, 2026.
Compared with accounts its own size
Protocol Labs's engagement rate beats 31% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 8 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 36% 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 0.025%, Protocol Labs sits above the 10th percentile of the 213,098 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.147% |
| 75th percentile | 0.698% |
| 90th percentile | 2.61% |
| 99th percentile | 82.9% |
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 12:00 UTC, and Thursday 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 | 76% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 35% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 76% 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.
- 35% 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 408 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
- Sep 25, 20267.9x their median
Today, we're launching Masterpiece (YC P26). @masterpiece_lab We finance the companies building the intelligence economy, giving AI data vendors capital today instead of waiting 30–90 days for frontier labs to pay, funded through our $10M+ institutional credit facility and onchain liquidity via $USDml (coming soon). Every era has its masterpieces. We’re financing the next ones.
- Sep 22, 20264.9x their median
Private personal AI. Reversing cellular age. Brain-computer interfaces. Universal fabricators. Funding human agency. New life on Mars. Whether AI can be conscious, and whether it matters. Nov 13-15, Vision Weekend returns to San Francisco! Three days of expert talks, curated 1-on-1s, tech demos, a $10K pitch grant, and our main 40th anniversary celebration in the US. Speakers include: • Wojciech Zaremba (OpenAI Foundation) • Matthew MacDougall (Neuralink) • Illia Polosukhin (NEAR Protocol) • Max Hodak (Science Corporation) • Matthew Botvinick (Anthropic) • Nan Ransohoff (Frontier Climate) • Séb Krier (Google DeepMind) • Seemay Chou (Astera Institute) • Robin Hanson (George Mason University) • Alex Gladstein (Human Rights Foundation) + many more. Full lineup in thread. Join us across iconic Bay Area locations, including Lighthaven, @internetarchive, USS Hornet aircraft carrier, and lab tours at @E11BIO, @LongshotSpace, @calwave_energy, @DolphinLabs, @ScienceCorp_ , plus a cypherpunk party at our AI node. Get tickets before prices increase Oct 1. Link in thread.
- Sep 29, 20263.9x their median
🫂4000 people 🔊80 speakers from @Isa to @VitalikButerin 🩷20 community partners from @torproject to @OpenObservatory ⛑️50 volunteers 1 Cypherpunk Congress Joy of activism 🪷 Mumbai, 2 Nov: https://t.co/tmQC59hroB https://t.co/ipfk3T2IMq
- Sep 24, 20262.7x their median
https://t.co/ZBwDT2HLkS
- Sep 24, 20262.6x their median
Precision Neuroscience has closed an oversubscribed $250M Series D, co-led by @PershingSquare Capital Management, The Ackman Oxman Institute, and a leading life sciences investment fund. Total raised: ~$430M. But the financing is only part of the story. Precision now has completed 100+ procedures across 18 major medical institutions. Building BCI requires more than an interface. It requires clinical infrastructure. Since our last financing @PrecisionNeuro_ has also: - Received @FDA clearance for Layer 7™ - Expanded peer-review clinical research - Partnered with @Medtronic - Expanded U.S. MEMS manufacturing The next phase of BCI will be defined not only by what the technology can do in a laboratory. It will be defined by whether companies can build the clinical, regulatory, and manufacturing infrastructure required to bring it to patients. This funding will support: - Expanded clinical work - Additional FDA review - Commercialization infrastructure Read the full news release here: https://t.co/xWitHdEY6n @BillAckman @PershingSquare @BCapitalGroup, @ARKInvest, @MubadalaCapital, @MiraeAsset, @Hitachi Ventures. Precision’s brain-computer interface is an investigational device and is not available for sale in the United States.
- Sep 29, 20261.6x their median
Introducing: Edge Agent Village V2. An experiment in increasing coordination through agents while learning how to minimize their risks to society. A three-week village of hundreds of real people living alongside hundreds of personal agents at Edge City India 🧵 https://t.co/XAkl4AXLnh
- Sep 30, 2026
Day two of our AI for Frontier & Meta Science workshop is kicking off in San Francisco. Researchers, engineers, and funders are gathered for talks, working groups, and project building across neuro AI, longevity-bio, molecular nano science, and scientific infrastructure. Yesterday's speakers included @vivnat (Google DeepMind), @tomoxl (Synchron), @dileeplearning (Astera Institute) and @alex_pentland (MIT Media Lab). Today: @elidourado (Astera Institute), @Alexteng (Fifty Years), @draparente (Civilization Ventures), @soniaarrison (100 Plus Capital), @stuhlmueller (Elicit), and more. Powered by @protocollabs, @paradromics, @episteme, and Future Forge Ventures.
- Aug 27, 2026
The latest episode of the @juanbenet Podcast features @AdamMarblestone, CEO & co-founder of Convergent Research (@Convergent_FROs). Adam is a leading figure in shaping how ambitious science gets funded and built. In this conversation, he shares that a full mouse-brain connectome — once estimated at $10B — would cost roughly $100–200M today, and that a human one could follow for roughly $1–2B within several years' program: numbers that would have sounded fictional a decade ago. He pioneered the Focused Research Organization (FRO) model — time-bound teams built to produce the public goods that neither academia nor a startup will fund — which has since inspired the NSF's new $1.5B X-Labs initiative. This conversation is about what's next and what it takes to get there: what mapping a complete mammalian brain could unlock — insights into brain disease, consciousness, how the brain actually learns, and a path to mind uploading. "We badly need a circuit-mapping frontier lab," Adam says of connectomics — a field he calls one of the most neglected, and the one most poised to scale, in neuroscience today. Full conversation: https://t.co/vs304n2uEG
- Oct 1, 2026
I'm moderating the panel "Bringing Stablecoins into Everyday Finance" at @XRPSEOUL (Oct 3) in Seoul this Saturday. Well be digging into two topics that are reshaping how money moves: x-chain liquidity and how neobanks can put stablecoins to work. This is an especially exciting conversation to have in Korea where mobile-first banks have already shown how quickly people will adopt better financial experiences. Among an incredible line-up of panelists I'll also be joined by @kakaopay_kr one of the neobanks absolutely dominating in this space in the Korean market. Cant wait to share perspectives. If you're in Seoul, come say hi! 📍 Grand Hyatt Seoul | 6PM
- Oct 2, 2026
Heading to Singapore for @token2049? Our co-founder @micoolcho will be on the stage at Solana Consumer Day to share how we're crowdsourcing robotics research and development on @solana Thanks @SuperteamSG @SuperteamAU @SuperteamBlack for hosting this summit! RSVP below https://t.co/GQ9NWSoLpf
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.
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Reading these numbers
A typical post picks up 31 interactions against 125K followers, an engagement rate of 0.025%. Measured over 17 original posts, its engagement rate beats 31% of 21,185 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 3.9K times each, and 0.805% of those impressions turn into an interaction. That is about 3.07% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 12:00 UTC, and Thursday is the busiest day of the week. Of the 17 posts sampled, 76% carry an image or video, 12% are part of a thread and 35% link out. The account's strongest tracked post pulled 244 interactions, about 7.9x its own typical post.
- What is Protocol Labs's engagement rate on X?
- Protocol Labs (@protocollabs) has an engagement rate of 0.025%, based on the median interactions across 17 original posts from the last 30 days against 125,310 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.025%, Protocol Labs sits above the 10th percentile of the 213,098 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 @protocollabs have real engagement?
- Its engagement rate beats 31% of the tracked X accounts closest to it in follower count (21,185 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 @protocollabs post?
- Most posts go out around 12:00 UTC, and Thursday is its busiest day, at roughly 2.3 posts per day across the measured window.