Harsh Makadia engagement report
@MakadiaHarsh - 228K followers on X
Measured over 63 original posts from a 30-day window, last computed on October 1, 2026.
Engagement
A typical post picks up 20 interactions against 228K followers, an engagement rate of 0.009%. Measured over 63 original posts, its engagement rate beats 24% of 15,519 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 6.4K times each, and 0.311% of those impressions turn into an interaction. That is about 2.81% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 04:00 UTC, and Tuesday is the busiest day of the week. Of the 63 posts sampled, 14% carry an image or video and 21% are part of a thread. The account's strongest tracked post pulled 800 interactions, about 40x its own typical post.
Measured over 63 original posts from a 30-day window, last computed on October 1, 2026.
Compared with accounts its own size
Harsh Makadia's engagement rate beats 24% of the tracked X accounts closest to it in follower count (15,519 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 19% 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 0.009%, Harsh Makadia sits above the 10th percentile of the 156,596 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.127% |
| 75th percentile | 0.604% |
| 90th percentile | 2.32% |
| 99th percentile | 83.4% |
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 04:00 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% | 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 | 14% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 3% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 14% 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.
- 3% 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 406 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 4, 202640x their median
AI writes great code. It designs terrible landing pages. So I fixed it. Free skill + full video so you can run it yourself 👇 https://t.co/idy9ygSJlO
- Aug 27, 20265.5x their median
Start with one job and one agent. Clear the newsletter pile. Unsubscribe the ones I have not opened in 30 days. Leave anything that looks personal. When that comes back finished, you already have a win, and you still have a Bot to talk to for the rest of the day.
- Sep 13, 20263.7x their median
your AI agent doesn't care which provider fulfills the token. your margin does. if API spend is a real line on your P&L, the way you BUY the models matters as much as which ones you pick. you're paying retail for AI tokens. https://t.co/60zfAszyrh is the wholesale door. more ↓
- Aug 27, 20262.6x their median
My current agency preferred stack: VA: Victor AI Chat: Slack Video: Loom Forms: Tally LLM: LiteLLM Repo: GitHub Leads: Arc AI Coding: Codex Editor: Cursor Projects: Jira Agents: Grok Bot Research: Claude Booking: Cal .com Inbox: Superhuman Database: Supabase Hosting: Cloudflare Scraping: Firecrawl Voice / SMS: Twilio Notetaker: Circleback Outreach: Smartlead Automations: Activepieces Tool connectivity: Composio Voice agents: ElevenLabs/ Retell AI
- Sep 14, 20262.3x their median
The future will not belong to businesses using the most AI. It will belong to businesses that apply AI to the most expensive problems.
- Sep 16, 20262.1x their median
The best AI system is not the one that sounds the most intelligent. It is the one that makes the fewest expensive mistakes.
- Sep 11, 20262.1x their median
A process is ready for automation when: The trigger is clear. The inputs are known. The output is defined. The rules are repeatable. The exceptions are visible. The result can be measured. If the process fails these tests, fix the thinking first.
- Sep 10, 20262.1x their median
A system that only works when the founder is available is not a system. It is founder dependency with better branding.
- Sep 28, 20262.0x their median
sent a cold email to a transportation company last week. no pitch deck. just a link to their website, already rebuilt. their current site was from 2014. i showed them what it could look like. it took me 20 minutes. they replied in an hour. people ignore offers. they don't ignore their own business, improved.
- Sep 27, 20262.0x their median
closed a $5,000 client last week with one small trick. went on discovery call with a telecom business. i listened to every problem they had and what they wanted. most agencies send a scope doc and a price after that call. i sent the scope, the price, and a working POC that solved their biggest problem. it took me 4 hours to build. they signed the next day. it's hard to say no to something already working in front of you.
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 20 interactions against 228K followers, an engagement rate of 0.009%. Measured over 63 original posts, its engagement rate beats 24% of 15,519 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 6.4K times each, and 0.311% of those impressions turn into an interaction. That is about 2.81% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 04:00 UTC, and Tuesday is the busiest day of the week. Of the 63 posts sampled, 14% carry an image or video and 21% are part of a thread. The account's strongest tracked post pulled 800 interactions, about 40x its own typical post.
- What is Harsh Makadia's engagement rate on X?
- Harsh Makadia (@MakadiaHarsh) has an engagement rate of 0.009%, based on the median interactions across 63 original posts from the last 30 days against 228,264 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.009%, Harsh Makadia sits above the 10th percentile of the 156,596 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 @MakadiaHarsh have real engagement?
- Its engagement rate beats 24% of the tracked X accounts closest to it in follower count (15,519 accounts), which puts it in the bottom quarter for its size 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 @MakadiaHarsh post?
- Most posts go out around 04:00 UTC, and Tuesday is its busiest day, at roughly 2.97 posts per day across the measured window.