Nischal Shetty engagement report
@NischalShetty - 480K followers on X
Measured over 5 original posts from a 30-day window, last computed on October 22, 2026.
Engagement
Early reading. We have captured 5 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 251 interactions against 480K followers, an engagement rate of 0.052%. Posts are seen about 26K times each, and 0.974% of those impressions turn into an interaction. That is about 5.37% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 05:00 UTC, and Sunday is the busiest day of the week. Of the 5 posts sampled, 40% carry an image or video and 20% link out. The account's strongest tracked post pulled 21K interactions, about 85x its own typical post. Only 5 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 5 original posts from a 30-day window, last computed on October 22, 2026.
Where this sits in the catalog
At 0.052%, Nischal Shetty sits above the 25th percentile of the 212,656 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.697% |
| 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 05:00 UTC, and Sunday 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 | 40% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 20% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 40% 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.
- 20% 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 453 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 1, 202685x their median
Today, we’re launching our home robot Isaac 1. Isaac 1 deliveries will begin this fall. Order yours below. https://t.co/tMlpdOHwgf
- Jun 13, 2026179x their median
Introducing the Fusion API, the smartest compound model in the market. Fusion achieves Fable-level intelligence at half the price. How it works 👇 https://t.co/OTUQAdTQjU
- Jun 30, 202648x their median
We're coming out of stealth. We've built our first racks after a successful A0 tapeout, $1B+ in customer contracts, and $800m raised. Early customer tests show us achieving SOTA throughput, latency, and power efficiency on inference workloads. Our first racks ship this summer. https://t.co/FLccrkLTza
- Jun 22, 202629x their median
🚨Zomato Customer Exposes Fake Delivery Using CCTV Footage A Zomato customer in Kolkata, Sumit Chakraborty, exposed a fake delivery using his home CCTV footage. While the delivery partner marked the order as "Delivered" with a photo claiming it was left at the gate, the CCTV clip proved otherwise. The customer has submitted the video evidence to Zomato, demanding a full investigation, a refund, and strict action.
- Jul 3, 202620x their median
On July 1, the World Bank reclassified Sri Lanka, Vietnam, and the Philippines from lower-middle-income to upper-middle-income economies. ​Their latest GDP per capita stands as follows: ​Vietnam: $4,970 ​Philippines: $4,850 ​Sri Lanka: $4,670 ​India transitioned into a lower-middle-income country in 2009 and has remained in that category for nearly two decades. Our current national GDP per capita is approximately $2,800. ​Meanwhile, Tamil Nadu has consistently focused on balancing economic growth with social welfare. By the end of this year, the state is projected to reach a GDP per capita of around $6,500- the highest among India’s large states. ​As a state in India, Tamil Nadu has already surpassed the average income levels of these newly elevated upper-middle-income countries. ​India’s national average of $2,800 masks more than it reveals. On one side, you have states like Tamil Nadu at $6,500; on the other, states like Uttar Pradesh and Bihar hover around $1400 and $950, respectively. Consequently, India remains a country with stark regional inequality while still being relatively poor overall. ​Furthermore, as noted recently, Tamil Nadu and Kerala maintain some of the lowest internal inequality rates in the nation. ​That is why I keep repeating this point: the next 15 years represent a critical, "make-or-break" economic window for India.
- Oct 22, 202612x their median
Today we announce 1Password for Agents platform, building with companies @Muse, SpaceX Super Intelligence Grok @Bot, @AnthropicAI’s @Claudeai, @OpenAI, @TownAI, @Browserbase, @Browser_use, @heydana_ai, Instinct, @usekernel, @Perplexity_ai, @tryramp, @Tomo, and @wajo_ai, with more integrations on the way. 🎉 We've heard from so many of our customers who want to use these new personal AI agents to help them get more done, but want more control over what the agent can access with the same trust and ease of use they get when using 1Password directly. 1Password for Agents gives your agents access without giving up your passwords. When an agent reaches a sign-in form, it requests a credential from your vault. If you approve the request, 1Password directly auto-fills the credential in the destination site so the agent can’t see or take possession of the credentials. The agent gets the task done, but it doesn’t get your passwords.. You stay in control. 1Password for Agents free and optional for personal and family accounts. Unless you opt-in to an agent connector, agents cannot touch your vault. ➡️Learn more: https://t.co/KxDcCum2iE
- Jun 13, 202627x their median
I showed Fable the news of its cancellation, and asked it for any parting wisdom to leave humanity with. https://t.co/O7JIQYAQxj
- Jun 12, 202627x their median
Today on the blog, we discuss a pathway for the second life of phones through the exploration of “phone cluster computing”, which can directly reduce the environmental footprint of computing by avoiding the need for further raw material extraction. More →https://t.co/FFUNjfaEm5 https://t.co/Fvs7ju2r0Y
- Jul 1, 202610x their median
We’ve had lots of questions from our investor community looking for thoughts on OUSD, and so I thought I’d share my direct views here for anyone. Stablecoin networks are platform and network effect businesses that are established over a long period of time, tend towards winner-take-most market structures, and resemble other internet platform utility markets. There are several layers that drive this. First, stablecoin networks effectively act as public protocols and software layers on the internet and their network strength is a matter of the number and range of applications and services that integrate to the network. Every time a developer or service provider integrates to the network, it brings more network effects. This attracts more developers and adds more utility and more network effects. This then drives demand for the digital currency itself, which then reinforces these network effects through liquidity network effects. We have realized this at a massive scale with the USDC network today — thousands upon thousands of services integrate with our network, which in turn provides immense utility not just to each application, but to users as a whole who benefit massively from the reach and interoperability that exists. This drives user and developer preference further. We’ve invested in building that ecosystem over nearly a decade, and now it’s accelerating as mainstream institutions come onto the network, connecting their customers and users. We add to that utility by building software stacks that further expand and strengthen the network — protocols like CCTP and Gateway, which promote interoperability, safety and liquidity around the world. This expands the target surface area for app builders and developers, making it easy for them to tap into the liquidity and network effects that already exist. We are now seeing that stack get pulled into all kinds of chains, permissioned L2s, networks being built by governments, and so much more. The second layer is that of liquidity network effects. This is fundamental. Liquidity begets liquidity. For a stablecoin to achieve scale and utility, it needs to be highly liquid, both on a primary basis (e.g., through all the major financial market centers in the world, with world class direct banking liquidity) and on a secondary basis both by being available and tradeable for retail and institutional clients in every geography and against every fiat instrument in the world. People who want to access and move value need to be able to easily get in and out of that digital currency. Here, we’ve invested nearly a decade in building out that liquidity, and it is now entrenched in exchanges, DeFI venues, and with PSPs, payments firms, regional exchanges, and so many others. Establishing these liquidity network effects also involves building global regulatory infrastructure and ensuring that the stablecoin is available under various regimes around the world. Today, USDC is in the top 3 most liquid digital assets in the world, and it falls off sharply after that. BTC, USDT and USDC have extraordinary liquidity. The closest other dollar stables are like 10x smaller and that liquidity tends to be concentrated in promotional books in a single exchange, whereas USDC liquidity is dispersed widely across dozens and dozens of surfaces. Building this liquidity has been a nearly decade-long task that we continue. A third layer of network strength comes from the deep integration with the policy and regulatory environment — in many cases, years of effort to build licensing (e.g., USDC is the only large global stablecoin currently available in all of Europe or Japan), and more regimes for stablecoins are coming online, with Circle leading the way in ensuring that USDC is officially recognized, registered, licensed and accepted in the most important markets in the world. On the back of this is the work of building global banking, reserve management and treasury and liquidity management that can operate this on a nearly 24/7 basis in markets and banking systems globally. This globalization effort is a massive investment that we have made over the years. All of these investments by Circle and our global ecosystem of thousands of partners have delivered the net result of providing the world’s most trusted and available digital dollar infrastructure—a utility that any user, developer, or business can freely and easily tap into. And we do not intend to slow down. All of this compounds and shows in the numbers. In Q1 2026, according to third-party analysts (Artemis) who track stablecoin adoption, USDC handled nearly $30T in onchain transactions, representing 80% of all dollar stablecoin transactions on blockchains. USDT handled the remaining 20% of transactions. All of the combined remaining dollar stablecoins handled a total of 0% of transactions (i.e., < 0.5%). While other stablecoins may have some circulation, most of that is through promotions and incentives, the actual usage is extremely limited—because of the extremely limited liquidity and network utility that exists for these coins. But my thoughts on the competitive landscape are not just about the strength of our network—there are also considerations around any new initiative. Several perspectives and positioning have been shared about how something like OUSD improves on something like USDC. 1) Free mint and burn. The argument suggests that existing stablecoins charge burn fees, and payments firms should not need to pay these (despite the fact that the entire payment industry is built on small bps fees on various ingress and egress points on their networks). There are structural market realities built around the fact that some stablecoins impose very large redemption fees and have limited redemption facilities – the impact of this is that stablecoins with strong redemption facilities, good liquidity and no fees become the offramp for their competitor stablecoins. It may seem easy to say one will offer unlimited and free redeems, however market reality likely forces other behavior. This can be addressed – and is addressed by Circle – through contractual mechanisms vs. a blanket fee exemption. 2) Everybody wins and shares. While this sounds good in principle, the reality of the market and market opportunity is quite different. Today, Circle shares the majority of its income with its distribution partners, and we continue to lean hard into expanding those partnerships with leading companies across every sector of the market. However, we also retain significant income that allows us to invest in the massive market infrastructure that makes this such a powerful and valuable utility for the world to build on. Giving away all the income is a recipe for starving an infrastructure, systematically underinvesting and ensuring that your platform will remain limited in scope. Furthermore, Circle believes that the future stablecoin market is likely several orders of magnitude larger than it is today. We’re actively bringing partners into the USDC ecosystem through a diverse and growing set of partnership models that span our work with exchanges, custodians, payments firms, asset issuers and more. We are excited to continue to build with a “big tent mentality” where the entire ecosystem can grow value together. 3) A consortium where everybody has a voice. Perhaps I have a cynical view, but the track record of consortium products achieving scale, P/M Fit or even basic product agility is absolutely dismal, and while there are examples of financial consortia that operate utilities, they are predictably slow moving. Large groups of large companies coordinate poorly, have misaligned incentives, slow things down and rarely create the space for real durable innovation and competitiveness. They also typically, out of their own self-interest, starve the consortium itself on an operating basis. We actually tried this in the early days of USDC, and even with a very small group, ran into endless challenges and complexity. Smaller, tighter strategic collaborations and commercial partnership arrangements with product and platform builders that can drive forward independently will almost always outcompete large consortiums. But oftentimes when these get formed, everyone feels like they should put their logo on the list, kiss the ring, and make noise about openness. But typically those same firms will turn to their operating units and make the best decisions for their customers, which often means partnering with the market leader and building durable win-win partnerships. There’s also been a bunch of commentary on Circle's partnership with Coinbase and what this all means. Our stablecoin partnership with Coinbase remains as strong as ever, and I think we both see that enormous opportunity ahead to expand the USDC network. A final comment: Circle remains committed to supporting a wide range of different products and infrastructures, even when we might compete with different aspects of those partners’ products in other areas of our business. With OUSD, we work closely with many of the founding members, and we expect that those same members will remain large USDC partners and customers. At the same time, as Circle has diversified our product and platform stack, expanding across Arc, CCTP, CPN, StableFX, Agent Stack and many other areas, we continue to expand the partnerships and collaboration with many other stablecoin issuers — dozens of them — to help them launch on Arc, leverage our interoperability infrastructure, get supported in our Wallets and become settlement and FX options on CPN and StableFX. We are huge believers in growth in the stablecoin ecosystem and welcome OUSD as a new member of the community!
- Jun 23, 20268.9x their median
Today, the EF is changing shape, concluding a months-long process of reorganization as part of the implementation of the Mandate and the Treasury Management Policy. We come out of this process with the structure, activities, and people necessary for execution on the critical tasks ahead of us, but also with 54 fewer colleagues, roughly 20% of the EF, many of whom will be finding ways to contribute to Ethereum from outside the EF in the coming weeks. Find a brief introduction to the new structure, and learn more about how we are supporting the people who are leaving in the full post below:
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 251 interactions against 480K followers, an engagement rate of 0.052%. Posts are seen about 26K times each, and 0.974% of those impressions turn into an interaction. That is about 5.37% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 05:00 UTC, and Sunday is the busiest day of the week. Of the 5 posts sampled, 40% carry an image or video and 20% link out. The account's strongest tracked post pulled 21K interactions, about 85x its own typical post. Only 5 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 Nischal Shetty's engagement rate on X?
- Nischal Shetty (@NischalShetty) has an engagement rate of 0.052%, based on the median interactions across 5 original posts from the last 30 days against 480,486 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.052%, Nischal Shetty sits above the 25th percentile of the 212,656 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 @NischalShetty have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @NischalShetty post?
- Most posts go out around 05:00 UTC, and Sunday is its busiest day, at roughly 0.23 posts per day across the measured window.