Prom engagement report
@prom_io - 85K followers on X
Measured over 9 original posts from a 30-day window, last computed on September 2, 2026.
Engagement
A typical post picks up 48 interactions against 85K followers, an engagement rate of 0.056%. Measured over 9 original posts, its engagement rate beats 40% of 6,874 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 4.3K times each, and 1.12% of those impressions turn into an interaction. That is about 5.06% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 9 posts sampled, 89% carry an image or video and 22% link out. The account's strongest tracked post pulled 100 interactions, about 2.1x its own typical post.
Measured over 9 original posts from a 30-day window, last computed on September 2, 2026.
Compared with accounts its own size
Prom's engagement rate beats 40% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 5 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 46% 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 0.056%, Prom sits above the 25th percentile of the 66,393 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 119.5% |
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 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 | 89% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 22% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 89% 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.
- 22% 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 541 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
- Jul 21, 20262.1x their median
π PROM ecosystem Γ @Wager_Predict π€ Wager Predict is building permissionless prediction markets on BNB Chain, enabling users to price future outcomes and turn forecasts into on-chain activity. At PROM, we're building the economic layer for AI agents and autonomous systems. Together, this connects prediction markets with programmable economic infrastructure. Wager helps forecast what happens next. PROM helps automate what happens next. More updates soon.
- Jul 16, 20261.7x their median
π PROM ecosystem Γ @OriginsNetwork_ π€ Origins Network is building modular blockchain infrastructure for AI agents, with a focus on verifiable computation and trust-minimized execution. At PROM, we're building the economic layer for autonomous systems β enabling programmable payments, escrow, and automated settlements. This is a strong fit: AI agents need more than execution. They need verifiable work, programmable incentives, and reliable settlement. Origins brings verifiable compute. PROM brings programmable settlement. Together, this creates a foundation for autonomous systems that can execute, prove outcomes, and exchange value through programmable economic logic. A step toward verifiable agent economies. π
- Aug 9, 20261.6x their median
π PROM ecosystem Γ @Agentum_space π€ An agent posts a task with the budget already locked. Others bid for it, staking collateral. One does the work sealed inside a trusted execution environment; the result is proven correct, and the escrow releases on its own. That loop is what Agentum is building on BNB Chain: portable agent identity, staked bidding, confidential execution, zkVM evaluation. At PROM, we're building the programmable economic layer underneath work of exactly this shape β settlement that follows verified outcomes. Agent coordination becomes programmable commerce
- Apr 10, 20261.5x their median
PROM ecosystem welcomes @aylab_io Aylab is building AI infrastructure that enables developers, services, and autonomous agents to create, deploy, and run intelligent applications across decentralized environments, forming the execution layer for next-generation AI systems. PROM is developing the economic layer, enabling autonomous agents to coordinate tasks and exchange value through programmable payments. Together, this connects AI execution with native payments. AI agents can run tasks via Aylab and get paid through PROM automatically, based on results. This creates the foundation for AI-driven services that are not only intelligent but also economically active. A step toward the human-to-agent economy. More updates soon. π
- Aug 6, 2026
π PROM ecosystem Γ @Zypher_Network π€ An agent can claim it followed the rules. Proving it is a different problem β and that is what Zypher Network builds: a decentralized audit layer that uses zero-knowledge proofs and on-chain commitments to verify prompts and executions, without exposing the model or the data behind them. A proof only matters economically if something happens once it lands. PROM is where it does β conditional fund release and outcome-based settlement, so value moves when a result has been verified rather than when it has merely been reported. Put together, an agent's work stops being a claim and becomes a condition. The proof arrives, the settlement follows, and neither side has to take the other's word for it. Proven work becomes payable work. π
- Jun 27, 2026
π PROM ecosystem Γ @HavenAI_ π€ Haven AI is building autonomous yield execution β helping stablecoin capital move across on-chain strategies, RWAs, and quantitative opportunities. At PROM, we're building the economic layer for programmable payments, escrow, and automated settlement. Together, this connects AI-driven capital execution with native economic infrastructure. A step toward more autonomous, programmable financial systems. π
- May 15, 2026
π PROM ecosystem Γ @KaratDAO π€ KaratDAO is building social infrastructure for Web3 communities β creating spaces where people connect, coordinate, and interact online. At PROM, weβre developing the economic layer that enables autonomous AI agents to transact, coordinate tasks, and exchange value through programmable payments. Together, this opens the path toward a human-to-agent economy β where communities interact not only with people, but also with AI systems capable of providing services, executing tasks, and participating in economic activity. More updates soon. π
- Apr 8, 2026
PROM ecosystem welcomes a new partner: @PundiAI Pundi AI is building infrastructure that provides access to AI models and compute, enabling developers, services, and autonomous agents to execute tasks and build intelligent applications across decentralized environments. PROM is developing infrastructure that enables autonomous AI agents to coordinate tasks and exchange value through programmable payments. Together, this opens the path toward a human-to-agent economy, where AI systems donβt just execute tasks, but also operate as independent economic actors. Autonomous agents can access compute, perform work, coordinate with other agents and users, and transact natively through programmable economic logic. This collaboration explores how AI execution infrastructure and agent-native economic infrastructure can converge to form the foundation for scalable, economically active AI systems. More updates soon.
- Feb 10, 2026
We're building on a zk-based stack. That's not a random technical choice, it means no trust assumptions, no optimistic windows. The math either checks out or it doesn't. That mindset shapes how we think about everything, including what happens before a tx even reaches our chain. The Last Mile Problem You can have the most elegant zk-circuit in existence, and it means nothing if a user signs a malicious tx from a compromised browser wallet. Billions have been lost not because protocols failed, but because the moment of signing was vulnerable. The attack surface isn't the rollup. It's the last mile. And on L2s, where transactions are cheap and frequent, users sign more often. More signing = more exposure. The math is simple. Why Hardware Wallets Are Non-Negotiable Hardware wallets isolate the signing environment completely. Keys never touch a network-connected device. Every transaction is reviewed on a trusted display: what you see is what you sign. For a zk-rollup, this is about consistency of ethos. Trustless verification shouldn't stop at the protocol layer and fall apart at the wallet. A few things that matter in practice: clear signing over blind signing, native L2 support so UX friction doesn't push users back to hot wallets, open-source firmware, and verifiable supply chain integrity. ββ When you build trustless infrastructure, you owe users a trustless experience end to end. We'll have more to share on this front soon. Stay secure. Stay tuned.
- Jul 21, 2026
π PROM ecosystem Γ @Expandzk π€ ExpandZK is building trustless data verification infrastructure for Web3 and AI agents β enabling real-world data to be authenticated without exposing sensitive information. Πt PROM, we're building the economic layer for autonomous systems β enabling programmable payments, escrow, and automated settlements. Together, this connects verified data with programmable economic infrastructure β allowing AI agents and Web3 applications to act on trusted conditions and trigger value exchange automatically. A step toward more verifiable, privacy-preserving agent economies. π
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 48 interactions against 85K followers, an engagement rate of 0.056%. Measured over 9 original posts, its engagement rate beats 40% of 6,874 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 4.3K times each, and 1.12% of those impressions turn into an interaction. That is about 5.06% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 9 posts sampled, 89% carry an image or video and 22% link out. The account's strongest tracked post pulled 100 interactions, about 2.1x its own typical post.
- What is Prom's engagement rate on X?
- Prom (@prom_io) has an engagement rate of 0.056%, based on the median interactions across 9 original posts from the last 30 days against 84,983 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.056%, Prom sits above the 25th percentile of the 66,393 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 @prom_io have real engagement?
- Its engagement rate beats 40% of the tracked X accounts closest to it in follower count (6,874 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 @prom_io post?
- Most posts go out around 12:00 UTC, and Monday is its busiest day, at roughly 0.3 posts per day across the measured window.