Dan Kornas engagement report
@DanKornas - 100K followers on X
Measured over 41 original posts from a 30-day window, last computed on October 16, 2026.
Engagement
A typical post picks up 14 interactions against 100K followers, an engagement rate of 0.014%. Measured over 41 original posts, its engagement rate beats 21% of 19,933 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 1.0K times each, and 1.39% of those impressions turn into an interaction. That is about 1.00% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 07:00 UTC, and Friday is the busiest day of the week. Of the 41 posts sampled, 98% carry an image or video and 98% are part of a thread. The account's strongest tracked post pulled 429 interactions, about 31x its own typical post.
Measured over 41 original posts from a 30-day window, last computed on October 16, 2026.
Compared with accounts its own size
Dan Kornas's engagement rate beats 21% of the tracked X accounts closest to it in follower count (19,933 accounts, accounts of similar size (decile 7 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 50% 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 0.014%, Dan Kornas sits above the 10th percentile of the 201,449 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 | 0.141% |
| 75th percentile | 0.671% |
| 90th percentile | 2.53% |
| 99th percentile | 82.5% |
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 07:00 UTC, and Friday 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 | 98% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 98% 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.
- 0% 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 953 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
- Aug 23, 202631x their median
Hugging Face Transformers End to End Course What you will learn: - Understand transformer and LLM concepts without treating them as black boxes - Understand how models learn, optimize, and improve from data - Work with sequence, text, and language-modeling problems - Build a practical understanding of this part of LLMs and generative AI - Understand sequence models like RNNs and LSTMs for NLP applications Link is in the reply 👇 ♻️ Share this with your network if you found it useful or insightful.
- Aug 22, 202619x their median
Private docs deserve more than keyword search. DeepSearcher is an open-source deep-research framework for builders who want to search and reason over private data. It helps you turn local files or crawled pages into answers and reports by loading documents, indexing them in a vector database, and querying them through a configurable LLM. Key features: • Private-data search – query internal sources and optionally bring in online content • Multiple LLM providers – configure OpenAI, DeepSeek, Claude, Gemini, Ollama, and others • Flexible ingestion – load local PDF, TXT, and Markdown files or crawl web pages • Vector database options – use Milvus, Zilliz Cloud, or Qdrant for retrieval • CLI and API paths – load and query from the command line or run the included FastAPI service It’s open-source (Apache License 2.0). Link in the reply 👇
- Aug 22, 20266.3x their median
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- Aug 22, 20265.8x their median
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- Aug 22, 20264.9x their median
Turning document images into structured Markdown shouldn’t require stitching together an OCR pipeline. DeepSeek-OCR 2 is a document OCR model and reference inference repo for builders who need to extract structured text from images and PDFs. It helps you test document-to-Markdown extraction by providing the model download, environment setup, prompts, and runnable inference paths for vLLM and Transformers. Key features: • Image + PDF workflows – separate vLLM scripts cover streaming image output and concurrent PDF processing • Markdown conversion prompt – the README provides a ready-to-run prompt for converting a document image to Markdown • Two inference paths – use the included vLLM scripts or the Hugging Face Transformers example • Dynamic resolution – the documented default combines up to six 768×768 crops with one 1024×1024 view • Batch evaluation – an included script supports benchmark runs such as OmniDocBench v1.5 It’s open-source under the Apache License 2.0. Link in the reply 👇
- Aug 23, 20263.7x their median
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- Aug 22, 20263.7x their median
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- Aug 22, 20263.6x their median
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- Sep 13, 20263.4x their median
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- Aug 22, 20263.2x their median
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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 14 interactions against 100K followers, an engagement rate of 0.014%. Measured over 41 original posts, its engagement rate beats 21% of 19,933 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 1.0K times each, and 1.39% of those impressions turn into an interaction. That is about 1.00% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 07:00 UTC, and Friday is the busiest day of the week. Of the 41 posts sampled, 98% carry an image or video and 98% are part of a thread. The account's strongest tracked post pulled 429 interactions, about 31x its own typical post.
- What is Dan Kornas's engagement rate on X?
- Dan Kornas (@DanKornas) has an engagement rate of 0.014%, based on the median interactions across 41 original posts from the last 30 days against 100,349 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.014%, Dan Kornas sits above the 10th percentile of the 201,449 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 @DanKornas have real engagement?
- Its engagement rate beats 21% of the tracked X accounts closest to it in follower count (19,933 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 @DanKornas post?
- Most posts go out around 07:00 UTC, and Friday is its busiest day, at roughly 2.73 posts per day across the measured window.