Elad Gil engagement report
@eladgil - 737K followers on X
Measured over 12 original posts from a 30-day window, last computed on October 4, 2026.
Engagement
A typical post picks up 140 interactions against 737K followers, an engagement rate of 0.019%. Measured over 12 original posts, its engagement rate beats 43% of 21,185 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 35K times each, and 0.401% of those impressions turn into an interaction. That is about 4.72% 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 roughly 47% of days. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 12 posts sampled, 25% carry an image or video, 25% are part of a thread and 42% link out. The account's strongest tracked post pulled 8.7K interactions, about 62x its own typical post.
Measured over 12 original posts from a 30-day window, last computed on October 4, 2026.
Compared with accounts its own size
Elad Gil's engagement rate beats 43% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 10 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 26% 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 0.019%, Elad Gil sits above the 10th percentile of the 212,567 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.696% |
| 90th percentile | 2.61% |
| 99th percentile | 82.7% |
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% | 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 | 25% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 42% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -8% | -9% to -7% | 41K |
- 25% 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.
- 42% 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 67 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% below 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 27, 202662x their median
Ocarina of Time, running natively on iOS and iPadOS for the first time. Not an emulator. Ship of Harkinian has run on Windows, Linux, macOS, Switch, Wii U, and Android. Never iOS. Now it runs on iPad, with iPhone in the build too. The game was decompiled to C and rebuilt as a native ARM64 app rendering through Metal. No N64 hardware being simulated, no ROM interpreted at runtime, no streaming from a Mac. It isn't stuck at the N64's 240p and 20fps. Widescreen, full resolution, 60fps. This game deserves a controller, so controller support is native. Pair a Bluetooth controller and play the whole thing. Touch, keyboard, and mouse work too. I used Codex 5.6 Sol to build the iOS layer. Open sourcing it all below.
- Sep 7, 202612x their median
The H100 is a three-year-old training chip. Its rental price is up 22 percent on the month, to $3.28 an hour. Every depreciation schedule assumes a chip this old only loses value. The market is paying up for it instead. https://t.co/TNSqgys3vx
- Jul 4, 202611x their median
Overheard “My will is stronger then my circumstances” 🔥🔥🔥
- Aug 27, 20269.3x their median
https://t.co/JvGwZKVqRY
- May 11, 20249.3x their median
🔥High Growth Handbook🔥 Scaling Companies From 10 to 10,000 Topics -Role of CEO -Hiring Execs -M&A -Product -Other company scaling Amazon: https://t.co/AUIKpWtlRO Audible: https://t.co/rXyUvSmoen Full book online: https://t.co/xVU6dIvBas
- Sep 22, 20267.8x their median
Generally reason founders burn out - working on things you feel obligated to do but hate vs things you love https://t.co/AAKbV1whoG
- Aug 19, 20266.4x their median
Insane week for a16z infra: Cursor exits for $60B, largest private acquisition ever OpenRouter exits for ~$8B, reportedly And this is how @martin_casado celebrates https://t.co/skSwzhan8G
- Sep 8, 20265.1x their median
We are simultaneously ramping into the singularity & seeing odd investor interest for non-exponential companies
- Sep 8, 20264.8x their median
What an era
- Jul 1, 20263.8x their median
Q2 recap for @harvey - +$100M NNARR - 53% DAU/MAU Key hires (including Q1) - Anique (CPO) - prev VP of Product at Rippling - Rachel (CMO) - prev CMO at Notion - Brooks (CISO) - prev CISO at Roblox - Keith (CSO) - prev CPO at Google Product - Agent unification - cloud agents can use all Harvey product surfaces - Command center (EA) - monitor adoption and ROI by use case - Contract intelligence (EA) - agentic contracting platform for enterprises Eng - Migration to cloud agent infrastructure - Integrating open source inference providers - Scaling document processing (54TB / week) AI - Legal Agent Bench - Open source post training - Published multiple research directions with partners We invested heavily in cloud agent infrastructure at the end of last year and in Q1. In Q2 we also unified many of our product surfaces (collapsed as @winstonweinberg says) by making them all tools accessible by our cloud agents. Prior to this, there were a lot of capabilities in Harvey that were often only discovered by power users. As cloud agents get better and our product becomes more connected we are seeing users discover more of the product by learning from their agents (see plot of product surfaces per user).
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 140 interactions against 737K followers, an engagement rate of 0.019%. Measured over 12 original posts, its engagement rate beats 43% of 21,185 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 35K times each, and 0.401% of those impressions turn into an interaction. That is about 4.72% 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 roughly 47% of days. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 12 posts sampled, 25% carry an image or video, 25% are part of a thread and 42% link out. The account's strongest tracked post pulled 8.7K interactions, about 62x its own typical post.
- What is Elad Gil's engagement rate on X?
- Elad Gil (@eladgil) has an engagement rate of 0.019%, based on the median interactions across 12 original posts from the last 30 days against 737,106 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.019%, Elad Gil sits above the 10th percentile of the 212,567 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 @eladgil have real engagement?
- Its engagement rate beats 43% of the tracked X accounts closest to it in follower count (21,185 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 @eladgil post?
- Most posts go out around 15:00 UTC, and Tuesday is its busiest day, at roughly 1.3 posts per day across the measured window.