Aravind Srinivas engagement report
@AravSrinivas - 1.1M followers on X
Measured over 28 original posts from a 30-day window, last computed on September 1, 2026.
Engagement
A typical post picks up 479 interactions against 1.1M followers, an engagement rate of 0.044%. Measured over 28 original posts, its engagement rate beats 58% of 3,829 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 108K times each, and 0.442% of those impressions turn into an interaction. That is about 9.92% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.2 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 28 posts sampled, 86% carry an image or video and 25% link out. The account's strongest tracked post pulled 4.1K interactions, about 8.5x its own typical post.
Measured over 28 original posts from a 30-day window, last computed on September 1, 2026.
Compared with accounts its own size
Aravind Srinivas's engagement rate beats 58% of the tracked X accounts closest to it in follower count (3,829 accounts, accounts of similar size (decile 9 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 30% 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 0.044%, Aravind Srinivas sits above the 25th percentile of the 37,071 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.435% |
| 90th percentile | 2.10% |
| 99th percentile | 158.3% |
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 15:00 UTC, and Tuesday 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% | 51K |
| 01:00 UTC | -2% | 52K |
| 02:00 UTC | -3% | 51K |
| 03:00 UTC | -4% | 54K |
| 04:00 UTC | -6% | 44K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 49K |
| 07:00 UTC | -5% | 53K |
| 08:00 UTC | -4% | 61K |
| 09:00 UTC | -3% | 71K |
| 10:00 UTC | -2% | 73K |
| 11:00 UTC | -3% | 80K |
| 12:00 UTC | -2% | 88K |
| 13:00 UTC | -2% | 96K |
| 14:00 UTC | -4% | 99K |
| 15:00 UTC | -2% | 103K |
| 16:00 UTC | -3% | 100K |
| 17:00 UTC | -2% | 92K |
| 18:00 UTC | -1% | 86K |
| 19:00 UTC | -2% | 81K |
| 20:00 UTC | -1% | 75K |
| 21:00 UTC | -1% | 67K |
| 22:00 UTC | -1% | 58K |
| 23:00 UTC | -1% | 52K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 234K |
| Monday | 0% | 294K |
| Tuesday | -3% | 288K |
| Wednesday | -1% | 253K |
| Thursday | -2% | 247K |
| Friday | -3% | 256K |
| Saturday | +3% | 230K |
Best tweets
- Sep 1, 20268.5x their median
excited 4 tmrw
- Aug 17, 20266.8x their median
let that sink in https://t.co/rCficQYZB7
- Sep 1, 20265.9x their median
We're introducing hybrid compute for all users of the Perplexity Mac app. This will allow Computer to orchestrate local models that can run locally on Mac, particularly for agent steps involving sensitive and private files (eg your bloodwork, tax returns, litigation, etc). https://t.co/iypYpwcK3N
- Aug 16, 20263.8x their median
Perplexity, the last 6-12 months, is disappointment after disappointment. I used to be a huge advocate for the service thanks to how good it was at search. I did this promo with them (where I received no payment) for paid subscribers to get access. Then Perplexity does this 👎 https://t.co/wzuuLxTi29
- Aug 25, 20263.5x their median
On showing an early demo of Portable Computer on DGX Spark to Jensen, he was kind to gift us a DGX Station, a beast of a local computer that can serve even frontier models like GLM 5.3. Unmetered frontier intelligence running on your own local hardware coming soon! https://t.co/HA16eiABnq
- Jul 28, 20262.5x their median
We've added Kimi K3 to Perplexity and Perplexity Computer for Pro and Max subscribers. Kimi K3 in Perplexity is hosted exclusively on U.S.-based servers. https://t.co/sKl7gOCqQy
- Aug 18, 20262.5x their median
Today we're launching Miles v0.1, an open-source RL framework for LLMs and multimodal models. RL training is easy to start and hard to debug. Miles helps you ensure your run is correct, use hardware efficiently, and keep RL running at scale. Over the past 9 months, 72 contributors have landed 1,326 commits, 85 GPU E2E CI tests, battle-testing Miles on frontier open models like Kimi K3, DeepSeek V4, Qwen 3.8, GLM 5.2, Inkling, MiniMax H3, etc. Miles powers frontier-model development and production RL workloads at @humansand, @periodiclabs, @modal, @DecagonAI, @Eigent_AI, @nebiusai, @IBM and more, on both @NVIDIAAI and @AIatAMD hardware. Here is what we built, and why teams picked Miles🧵
- Aug 26, 20261.9x their median
A background process that continually ingests context from every single connector (or app), performs multi-hop reasoning in a perpetual inference loop, and runs on your hardware. That is the future.
- Aug 26, 20261.6x their median
We are doubling down on making Computer more useful for financial researchers and analysts. Computer now connects to new licensed data sources, including Dun & Bradstreet, Guidepoint, IBISWorld, and 20+ others. An analyst can ask Computer a question and get an answer built from the firm's own licensed sources without APIs or separate logins to work through. Every figure traces to the source record it came from. Teams doing high-stakes work would know exactly which data set produced which number. To connect, select a provider in Settings → Connectors and sign in with an existing license. Available now to all Perplexity users. https://t.co/CHostdxMhs
- Aug 13, 20261.6x their median
Grok 4.6 is now available in Perplexity and Perplexity Computer. On WANDR, it sits on the Pareto frontier of performance and efficiency, matching Fable 5 results at over 60% lower cost. https://t.co/qPeWEyy97Q
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 479 interactions against 1.1M followers, an engagement rate of 0.044%. Measured over 28 original posts, its engagement rate beats 58% of 3,829 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 108K times each, and 0.442% of those impressions turn into an interaction. That is about 9.92% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.2 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 28 posts sampled, 86% carry an image or video and 25% link out. The account's strongest tracked post pulled 4.1K interactions, about 8.5x its own typical post.
- What is Aravind Srinivas's engagement rate on X?
- Aravind Srinivas (@AravSrinivas) has an engagement rate of 0.044%, based on the median interactions across 28 original posts from the last 30 days against 1,092,640 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.044%, Aravind Srinivas sits above the 25th percentile of the 37,071 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 @AravSrinivas have real engagement?
- Its engagement rate beats 58% of the tracked X accounts closest to it in follower count (3,829 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 @AravSrinivas post?
- Most posts go out around 15:00 UTC, and Tuesday is its busiest day, at roughly 3.17 posts per day across the measured window.