Nischal Shetty engagement report
@NischalShetty - 483K followers on X
Measured over 12 original posts from a 30-day window, last computed on August 28, 2026.
Engagement
A typical post picks up 64 interactions against 483K followers, an engagement rate of 0.013%. Measured over 12 original posts, its engagement rate beats 33% of 3,899 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 14K times each, and 0.459% of those impressions turn into an interaction. That is about 2.86% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.67 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 08:00 UTC, and Friday is the busiest day of the week. Of the 12 posts sampled, 25% carry an image or video, 8% are part of a thread and 8% link out. The account's strongest tracked post pulled 19K interactions, about 295x its own typical post. Recurring topics include #bitcoin, #wazirxai.
Measured over 12 original posts from a 30-day window, last computed on August 28, 2026. Recurring tags: #bitcoin, #wazirxai.
Compared with accounts its own size
Nischal Shetty's engagement rate beats 33% of the tracked X accounts closest to it in follower count (3,899 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 32% 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 0.013%, Nischal Shetty sits above the 25th percentile of the 37,701 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.081%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.081% |
| 75th percentile | 0.439% |
| 90th percentile | 2.10% |
| 99th percentile | 156.3% |
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 Friday 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% | 53K |
| 01:00 UTC | -2% | 53K |
| 02:00 UTC | -3% | 52K |
| 03:00 UTC | -4% | 55K |
| 04:00 UTC | -6% | 44K |
| 05:00 UTC | -4% | 43K |
| 06:00 UTC | -4% | 50K |
| 07:00 UTC | -5% | 54K |
| 08:00 UTC | -4% | 63K |
| 09:00 UTC | -3% | 72K |
| 10:00 UTC | -2% | 75K |
| 11:00 UTC | -3% | 81K |
| 12:00 UTC | -2% | 90K |
| 13:00 UTC | -2% | 98K |
| 14:00 UTC | -3% | 101K |
| 15:00 UTC | -2% | 105K |
| 16:00 UTC | -4% | 102K |
| 17:00 UTC | -3% | 95K |
| 18:00 UTC | -1% | 88K |
| 19:00 UTC | -2% | 83K |
| 20:00 UTC | -1% | 77K |
| 21:00 UTC | -1% | 69K |
| 22:00 UTC | -2% | 60K |
| 23:00 UTC | -2% | 53K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 238K |
| Monday | 0% | 302K |
| Tuesday | -3% | 302K |
| Wednesday | -1% | 257K |
| Thursday | -2% | 250K |
| Friday | -3% | 259K |
| Saturday | +3% | 233K |
Best tweets
- Jun 13, 2026295x 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 22, 2026116x 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, 202679x 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.
- Jun 13, 202645x 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
- Jul 1, 202641x 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, 202634x their median
We’re open-sourcing Unlimited OCR — built to read long documents in one pass. With 3B total parameters and only 500M activated, Unlimited OCR sets new end-to-end SOTA results on OmniDocBench v1.5 and v1.6. The key innovation is Reference Sliding Window Attention (R-SWA), inspired by how humans transcribe books: keeping the source, recent context, and next words in focus, while softly forgetting what’s no longer needed. With constant KV Cache size and lower attention cost, Unlimited OCR can transcribe 40+ pages in a single forward pass — without losing context or slowing down. Explore the model👇: --GitHub: https://t.co/5ZJBsEldKd --Hugging Face: https://t.co/4FKFr9EfOu
- Jun 22, 202633x their median
Spent the last week building something I couldn't stop thinking about 😁. Mumbai has thousands of street cats (I love cats). They live in our lanes, outside our buildings, in most of the cafes. So I built meowmbai - A community map where you spot, explore, & pin Mumbai's street cats. Every cat gets a profile. Every neighborhood gets a count. People can upload cat sightings, discover cats around the city, explore adoption opportunities, & find helpful resources for cat care. It's live. Go find your local cat. Have fun at https://t.co/NbY1d7axLx 🐾🐈 #mumbaicats #meowmbai #cats #mumbai
- Jun 23, 202631x their median
This screenshot just ended thousands of engineering careers. TCS salary: ₹20-30K/month. Blinkit rider salary: ₹40-55K/month. https://t.co/LdWBryWa1l
- Jun 27, 20267.5x their median
In Tier 2 India, a family will spend Rs. 4 lakh on a wedding and hesitate at a Rs. 2,000 online course. Because the wedding is not a celebration. It is a network event. The community is the portfolio. The gathering is the trust signal. When you understand that math, you stop judging the choice. The companies that get this win the next decade. The ones that call it irrational keep wondering why their growth stops at the metro.
- Jun 30, 20266.6x their median
1/ Today, more than 140 companies, most of which compete fiercely with one another, agreed to back the same stablecoin. The vehicle is @openstandard, a new and deliberately independent company launching Open USD, or OUSD, and positioning it not as anyone’s product but as neutral infrastructure for payments, trading and the internet economy.
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 64 interactions against 483K followers, an engagement rate of 0.013%. Measured over 12 original posts, its engagement rate beats 33% of 3,899 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 14K times each, and 0.459% of those impressions turn into an interaction. That is about 2.86% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.67 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 08:00 UTC, and Friday is the busiest day of the week. Of the 12 posts sampled, 25% carry an image or video, 8% are part of a thread and 8% link out. The account's strongest tracked post pulled 19K interactions, about 295x its own typical post. Recurring topics include #bitcoin, #wazirxai.
- What is Nischal Shetty's engagement rate on X?
- Nischal Shetty (@NischalShetty) has an engagement rate of 0.013%, based on the median interactions across 12 original posts from the last 30 days against 482,835 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.013%, Nischal Shetty sits above the 25th percentile of the 37,701 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?
- Its engagement rate beats 33% of the tracked X accounts closest to it in follower count (3,899 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 @NischalShetty post?
- Most posts go out around 08:00 UTC, and Friday is its busiest day, at roughly 0.67 posts per day across the measured window.