Akshay 🚀 engagement report
@akshay_pachaar - 292K followers on X
Measured over 7 original posts from a 30-day window, last computed on October 22, 2026.
Engagement
Early reading. We have captured 7 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 225 interactions against 292K followers, an engagement rate of 0.077%. Posts are seen about 28K times each, and 0.817% of those impressions turn into an interaction. That is about 9.44% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Saturday is the busiest day of the week. Of the 7 posts sampled, 57% carry an image or video, 14% are part of a thread and 71% link out. The account's strongest tracked post pulled 6.5K interactions, about 29x its own typical post. Only 7 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 7 original posts from a 30-day window, last computed on October 22, 2026.
Where this sits in the catalog
At 0.077%, Akshay 🚀 sits above the 25th percentile of the 204,313 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 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 13:00 UTC, and Saturday 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 | 57% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 71% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 57% 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.
- 71% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 861 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
- Sep 18, 202629x their median
https://t.co/haL8IGhx3h
- Apr 6, 202619x their median
https://t.co/VoQByJUrBU
- Nov 14, 202317x their median
My lecture at MIT!✨ From Physics to Linear Algebra & Machine learning, I have learned a lot from MIT! Yesterday, I had the honour of delivering a guest lecture on The state of AI Engineering, exploring: - Prompt Engineering - Retrieval Augmented Generation. - Fine-Tuning Large Language Models. - And, how LLMs are bringing a paradigm shift Thank you @RoyShilkrot for the invitation! 🙏 Grateful for the opportunity to engage with such brilliant minds! If you are interested AI Engineering, I write a free weekly newsletter → @ML_Spring
- Jun 22, 20268.4x their median
https://t.co/q4DvRIfStN
- Mar 4, 20269.9x their median
https://t.co/VhUJPU8alY
- Jun 8, 20266.6x their median
https://t.co/YUGDPxpYvy
- Jun 27, 20265.9x their median
https://t.co/5lb52h4oT1
- Feb 9, 20266.5x their median
https://t.co/YFjQ2dQx4H
- Oct 21, 20265.3x their median
Another blow to Anthropic! Devs built a free and better Claude desktop alternative that: - runs locally - works with any LLM - SOTA deep research - has Cowork-like capabilities - connects to 40+ data sources - self-hosts via Docker, and more. 100% open-source. https://t.co/RpKuow34sD
- Oct 3, 20265.1x their median
everyone is sleeping on this new JSON extraction model! - open-weights - matches Gemini Flash 3.5 - while being 3x faster pulling structured data out of documents usually takes a chain of OCR, an LLM, and extra code to repair broken JSON. lift, from @datalabto, does all of this in a single step. you give lift a PDF or image along with a JSON schema, and get back a JSON object that matches that schema. the model reads every page of a document in one pass, so values that span multiple pages still come out right. any document you can describe in a schema works, from invoices to research papers. here's what you get with lift: - 90.2% field accuracy on 11,000 fields - 9B model, nearly matches Gemini Flash 3.5 at 3x the speed - built not to hallucinate; returns null if missing - self-hostable with vLLM or Hugging Face GitHub repo: https://t.co/akcdjgT6ei (don't forget to star 🌟)
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 225 interactions against 292K followers, an engagement rate of 0.077%. Posts are seen about 28K times each, and 0.817% of those impressions turn into an interaction. That is about 9.44% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Saturday is the busiest day of the week. Of the 7 posts sampled, 57% carry an image or video, 14% are part of a thread and 71% link out. The account's strongest tracked post pulled 6.5K interactions, about 29x its own typical post. Only 7 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 Akshay 🚀's engagement rate on X?
- Akshay 🚀 (@akshay_pachaar) has an engagement rate of 0.077%, based on the median interactions across 7 original posts from the last 30 days against 291,773 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.077%, Akshay 🚀 sits above the 25th percentile of the 204,313 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 @akshay_pachaar have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @akshay_pachaar post?
- Most posts go out around 13:00 UTC, and Saturday is its busiest day, at roughly 1.27 posts per day across the measured window.