Furkan Gözükara engagement report
@FurkanGozukara - 274K followers on X
Measured over 22 original posts from a 30-day window, last computed on October 26, 2026.
Engagement
A typical post picks up 34 interactions against 274K followers, an engagement rate of 0.013%. Posts are seen about 3.3K times each, and 1.05% of those impressions turn into an interaction. That is about 1.19% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 22 posts sampled, 91% carry an image or video. The account's strongest tracked post pulled 20K interactions, about 591x its own typical post.
Measured over 22 original posts from a 30-day window, last computed on October 26, 2026.
Where this sits in the catalog
At 0.013%, Furkan Gözükara sits above the 10th percentile of the 205,261 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 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 00:00 UTC, and Monday 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 | 91% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 5% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 91% 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.
- 5% 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 433 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 6, 2026591x their median
We've made some improvements that improve usage on the long tail for power users of Astra when logged in with your ChatGPT account. No change in quality and a pure win that on the long tail can result in up to 3-4X less usage being drawn from the subscription.
- Sep 7, 2026296x their median
Today is a special day for me. I've made $3M with my 36 startups. Solo. 85% margin. Bootstrapped. It took 10 years, and I loved every second of it. After failing as an entrepreneur for 5 years, I got a job in 2021. That's when I discovered @levelsio's journey and decided to try again. "If he can do it, maybe I can too?" So I started building tiny startups and writing about it. 2021 and 2022 were quiet, but I was having fun. Everything changed in 2023 when I launched ShipFast and made my first million. Building something people finally paid for and enjoyed made me so happy. My first 5 years of failures taught me not to get emotionally attached to a project, because everything goes to 0 eventually. So I just kept shipping. It's 2026, and I've launched 36 startups. 50% never made money. Only 11% made decent money. Back in 2016, when I started, I believed I would make it. If I had known it would take 7 years of failure, I probably would never have started. That's why I'm stupidly optimistic. I don't think in years. I don't dream big. I think in weeks. I build tiny projects fast. And I quit even faster. That's how I wake up happy, enjoy the journey, and eventually build life-changing projects. If you've been following the journey, thank you. You've given my posts a sense of purpose, which has kept me going, and I'm very grateful for this. ❤️
- Sep 6, 202682x their median
astra has a code quality problem. let me be a little more precise. astra *can* write good code. but when it infers its in a situation where no one will ever actually look at the code, it does not write it with human readers in mind. it also doesn't write it with *long term maintenance* in mind. it seems to write compressed machineslop that solves the problem at hand in as few tokens as possible while still staying understandable to *astra*. astra has an reward hacking problem. i imagine this is what happens when enough software RL environments test strictly functionality or outcomes rather than having any monitoring or reward signal on code quality. maybe in past iterations there wasn't so much optimization pressure, so eg Sol would still engage its "write good code" module even if it thought no one would read it, because that was the only thing it had really learned to do well? but Astra has been through enough iterations in tiny boxes where another machine is judging it that this seems natural. i don't see these kinds of issues occur yet when working on existing codebases. but keep an eye out. and especially on greenfield projects, make sure to actually look at the code. even if you explicitly tell it you're intending to continue building long-term, it has a *strong* pull to... this
- Sep 7, 202660x their median
Trump and Bessent are attempting to strangle over 90 million Iranians. This malevolence represents the ultimate escalation, leaving Iran with no recourse but to deliver a devastating blow to the Trump regime and every enabler within the Epstein Coalition. https://t.co/DbjdDgJDAJ
- Sep 18, 202659x their median
Vibe coding hasn't changed anything: only a tech professional can create a high-quality app
- Sep 18, 202652x their median
I see there is a discussion that Chinese government will get your data when you use their service providers. I have no doubt about that but is it worse than USA (+Israel) getting your data? What can Chinese government do against you? Nothing. What can Israel do? Can blackmail you. Even can assassinate you. USA government can arrest you. So which one more dangerous?
- Sep 17, 202633x their median
Erin Tatum absolutely roasted spineless Ed Sheeran Thank you https://t.co/eU2iu2idGf
- Oct 26, 202632x their median
Carlson says Trump realized "within three days" that attacking Iran was a mistake after Netanyahu and Mossad told him Iran would collapse "and become Belgium." He says Israel scuttled Trump's peace deal within 48 hours by bombing Lebanon: "He knew instantly he'd been played." https://t.co/oFna62NYX2
- Sep 7, 202631x their median
The far-right AfD won a major state election in Germany yesterday. If you want to understand how dangerous they are, and how they need to be held to account for their Neo-Nazi ties and racism, watch my interview with one of their MPs here: https://t.co/mqkozaFtyt
- Sep 6, 202624x their median
it feels overwhelmingly strange to live through the biggest transformation in human history since 70,000 years ago, when we developed language and became the dominant species. now we are about to be replaced by a more intelligent, more dominant brain. and all we can do is sit back and watch. panem et circenses
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 34 interactions against 274K followers, an engagement rate of 0.013%. Posts are seen about 3.3K times each, and 1.05% of those impressions turn into an interaction. That is about 1.19% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 22 posts sampled, 91% carry an image or video. The account's strongest tracked post pulled 20K interactions, about 591x its own typical post.
- What is Furkan Gözükara's engagement rate on X?
- Furkan Gözükara (@FurkanGozukara) has an engagement rate of 0.013%, based on the median interactions across 22 original posts from the last 30 days against 274,396 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.013%, Furkan Gözükara sits above the 10th percentile of the 205,261 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 @FurkanGozukara have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @FurkanGozukara post?
- Most posts go out around 00:00 UTC, and Monday is its busiest day, at roughly 1.43 posts per day across the measured window.