cult engagement report
@cult100x - 142K followers on X
Measured over 2 original posts from a 30-day window, last computed on September 27, 2026.
Engagement
Early reading. We have captured 2 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 3 interactions against 142K followers, an engagement rate of 0.002%. Posts are seen about 1.1K times each, and 0.284% of those impressions turn into an interaction. That is about 0.742% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video. The account's strongest tracked post pulled 1.2K interactions, about 412x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 2 original posts from a 30-day window, last computed on September 27, 2026.
Where this sits in the catalog
At 0.002%, cult sits below the 10th percentile of the 205,374 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
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 00:00 UTC, and Monday 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 | 50% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 50% 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 110 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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
- Jun 18, 2026412x their median
Opening the Superteam Talent Portal. A job platform built for the @Solana ecosystem. https://t.co/cwGgqAFyNp https://t.co/VAie1bFThv
- May 20, 2026292x their median
New: Solana Summer School Spend your summer getting smart on the greatest blockchain on earth. Solana Summer School includes: - 5 weeks of live lessons and office hours with @SolanaFndn DevRel - Special guest lecturers from the ecosystem - Dedicated student resources - Plus something special for those who graduate Open to all current college students (must register with school email). Starts June 15. Space is limited. Apply now: https://t.co/NtP1eMjuuL
- Jun 17, 2026211x their median
Kings ruled here. Rockstars played here. Now @Solana builders will launch here. @SuperteamIE’s Builder Residency awaits. It’s your turn to leave your mark on the internet. Register now. https://t.co/Ip1cJhXagX
- Jun 27, 2026107x their median
The end of the prompt era: Why agent topology beat natural language In 2026, the industry has finally recognized that "prompt engineering" was merely an unstable transitional phase. Trying to manage complex decentralized systems through natural language is like piloting an airliner with a megaphone — too much noise and a catastrophically high cost of error. In the Zero‑Noise paradigm, we permanently abandon "dialogue" with AI in favor of rigid orchestration and mathematical design of agent topology. The problem of "natural" entropy When nodes inside a swarm exchange text‑based instructions, each iteration creates exponential risks of hallucinations and context loss: Illusion of understanding: The model may brilliantly "agree" with the task, but generate an output structure that breaks the entire subsequent CI/CD pipeline. Random data fluctuations: When working with precision analytics, text models tend to smooth and average out values. For example, when rendering critical dashboards, even minimal deviations are unacceptable: if the logic requires the "USA" segment to be strictly first in the ranking with exactly 30% share while preserving precise proportions for the rest of the data, the system has no room for "creative interpretation" of the visualization. A prompt doesn't guarantee that - a typed protocol does. Topology as the new engineering standard The architect of autonomous systems today doesn't write instructions. They create isolated, verifiable communication channels: Machine‑to‑Machine Contracts: Agents exchange exclusively validated data structures. Inside the swarm, there is no room for "I think" or "maybe" - only binary execution. Deterministic consensus: Decision‑making in DeSci or smart‑contract auditing is achieved not through model "discussion," but through cryptographic weighting of ZK proofs submitted by each agent. Absolute idempotence: The rigid connection architecture guarantees that a million runs of the same process will produce a byte‑identical result. Insight: The reliability of an autonomous system is inversely proportional to the amount of human language used in its internal processes. Pure computational logic has no need for words.
- Jun 23, 2026102x their median
The Evolution of AI: Why the Era of Prompt Engineering Is Coming to an End 🚀 We've grown accustomed to thinking that the ability to write good prompts is the key skill for the developer of the future. But if you look at how autonomous agent architectures are actually evolving, it becomes clear: the text interface is far too fragile for complex systems. The shift from traditional prompt engineering to strictly typed data structures completely changes the game. When it comes to multi‑agent orchestration and swarm topology, the textual hallucinations of LLMs become an unacceptable risk. Autonomous agents need reliable coordination layers where state transfer happens through rigorously validated schemas, not probabilistic text constructs. This is the only way to achieve predictability in complex pipelines where one agent collects data, another writes the logic, and a third handles verification. The future of AI development is not the art of "coaxing" neural networks, but a strict architecture of deterministic connections within a non‑deterministic environment. What do you think? How soon will we fully abandon free‑form text in production systems in favor of strict typing for inter‑agent interaction? 👇
- Jun 17, 202683x their median
14,000 square feet. Hundreds of founders from around the world. 24/7. 31 days straight. Demo Day. 5 years in, and a momentous 10th iteration of the most action-packed startup experience you've ever seen. We're honored to introduce you to mtndao X. ---- @mtndao - the world-class startup summit with @solana roots that today gathers top founders from frontier industries around the world - is back for its 10th iteration. We're calling it mtndao X. It runs from August 1-31, 2026 in our home: Salt Lake City, Utah, USA. Like always, mtndao is invite-only. This February's mtndao was the most exciting mtndao we've seen yet. We debuted mtndao Demo Day, and our second-ever Demo Day will be happening again this August. A generational experience 5 years ago, mtndao was born from the small but exploding @solana ecosystem. Solana and mtndao are small no more, and mtndao has since birthed more global hackathon winners and world-class teams than any other event in the community. As Solana expands to be internet rails for a new generation of software companies - it's been incredibly exciting to see more talent come through mtndao. Frontier industry talent from AI, deep, and robotics now visits the MTN. @ycombinator and @fdotinc companies show up at the MTN. We expect this to grow, and welcome any entrepreneur who is building something world-changing to apply. Best-in-class infrastructure: you'll work here We’re proud of the infrastructure we provide and run a strict culture that is intensely work-forward. Expect: • A spacious, beautiful, 24/7 workspace • 120 @autonomous_labs desks, @secretlabchairs, and 4k 32” monitors at every desk. • 20GB entreprise-grade wifi with 7 independent electricity circuits to handle upwards of 400 devices simultaneously. • Catered lunch, snacks, and caffeine so that you never stop. Bring your gear We’re excited to welcome builders from all over to the greatest mountains in the world. Reminder: you must apply and be accepted to mtndao X to be allowed entry. Link below. See you on the MTN, and thank you for being with us 5 years running.
- Jun 18, 202644x their median
https://t.co/nsuOsMX4ZN
- Jun 15, 202636x their median
San Francisco's dead. All the real builders have moved to Miami or Austin. So we probably shouldn't host a demo night in SF with free food and drinks for builders in AI, agentic payments and stablecoins. Because no one would show up. Right? https://t.co/r7JBM4Lauv https://t.co/kSHzA5kT8q
- Jun 15, 202622x their median
People have been asking about what our badges do: Check them out! https://t.co/VdzTG2Q95X
- Jun 26, 202621x their median
Ever feel like you scrolling CT, someone talks about how this new syscall will make everything faster on Solana, you like the post, knowing damn well that you have no clue what they're talking about? If so, read on if you want to join the cool crew 🧵 https://t.co/UIHluSXhOX
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 3 interactions against 142K followers, an engagement rate of 0.002%. Posts are seen about 1.1K times each, and 0.284% of those impressions turn into an interaction. That is about 0.742% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video. The account's strongest tracked post pulled 1.2K interactions, about 412x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is cult's engagement rate on X?
- cult (@cult100x) has an engagement rate of 0.002%, based on the median interactions across 2 original posts from the last 30 days against 142,394 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.002%, cult sits below the 10th percentile of the 205,374 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 @cult100x have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @cult100x post?
- Most posts go out around 00:00 UTC, and Monday is its busiest day, at roughly 0.1 posts per day across the measured window.