draven engagement report
@dravenip - 738K followers on X
Measured over 14 original posts from a 30-day window, last computed on October 1, 2026.
Engagement
A typical post picks up 446 interactions against 738K followers, an engagement rate of 0.06%. Measured over 14 original posts, its engagement rate beats 62% 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 210K times each, and 0.212% of those impressions turn into an interaction. That is about 28.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.6 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 12:00 UTC, and Tuesday is the busiest day of the week. Of the 14 posts sampled, 71% carry an image or video, 7% are part of a thread and 36% link out. The account's strongest tracked post pulled 13K interactions, about 28x its own typical post.
Measured over 14 original posts from a 30-day window, last computed on October 1, 2026.
Compared with accounts its own size
draven's engagement rate beats 62% 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 15% 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 0.06%, draven sits above the 25th percentile of the 212,270 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.695% |
| 90th percentile | 2.61% |
| 99th percentile | 83.1% |
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 12:00 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 | 71% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 36% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 71% 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.
- 36% 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 327 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 30, 202628x their median
ACABO DE CANCELAR YOUTUBE PREMIUM. He encontrado una alternativa gratis y open source, y despuĂ©s de probarla no vuelvo atrás. Se llama Invidious. La mantiene una comunidad de voluntarios en GitHub y funciona desde el navegador. Hace lo que la mayorĂa paga en Premium: → Sin anuncios → Audio en segundo plano en el mĂłvil → Ver vĂdeos sin iniciar sesiĂłn → Sin el rastreo constante de Google Pero lo mejor no son las funciones. Es la experiencia. Las páginas cargan en milisegundos. No hay pĂxeles de seguimiento. No hay reproducciĂłn automática. No hay un algoritmo intentando engancharte durante horas. Además puedes: → Suscribirte a canales sin cuenta de Google → Recibir avisos de vĂdeos nuevos → Importar todas tus suscripciones de YouTube de una vez → Alojarlo tĂş mismo si quieres control total → Redirigir cualquier enlace de YouTube automáticamente con una extensiĂłn Aviso honesto: Google lleva desde 2024 bloqueando instancias, asĂ que las pĂşblicas van a rachas. Autoalojado va mucho mejor. 100% open source. 0 € al mes. Os dejo el repo abajo 👇🏼
- Aug 27, 20267.1x their median
UNA SOLA ORDEN Y DESCUBRE TODAS LAS CUENTAS DE ALGUIEN DE INTERNET Sherlock es una herramienta open source 100% gratuita. Te permite encontrar, con un solo comando, todas las cuentas asociadas a un nombre de usuario en más de 400 redes sociales y sitios web. Qué hace exactamente? > Busca un username (o varios a la vez) en cientos de plataformas > Te muestra solo las cuentas que existen > Exporta los resultados en TXT, CSV o Excel > Te deja filtrar solo las redes que te interesan > Guarda automáticamente todo lo encontrado Es una de las herramientas OSINT más usadas para análisis de huella digital, ciberseguridad e investigación de amenazas. Tiene más de 88.200 estrellas en GitHub Os dejo el repoo en el primer comentario
- Sep 11, 20265.7x their median
THIS GITHUB TRADING BOT JUST LEAKED AND IT'S ABOUT TO CREATE NEW MILLIONAIRES and yes, it's completely free and open source. it buys where profit is basically guaranteed. copies the traders who win the most. catches price drops before the rest of the market and closes positions on its own if something goes wrong. all from a single dashboard. the craziest part? it only has 638 stars on GitHub. most people have no idea this exists yet. → pure arbitrage when YES + NO adds up to less than $1 → auto-copies traders with a 60%+ win rate → detects real-time price drops and buys the dip before anyone else → 4-layer protection system: daily limit, monthly limit, and a hard stop at 40% loss this isn't another get-rich-automatically bot. it actually has the brakes built in, something almost no project like this bothers doing. runs on your own machine, with your own wallet. nobody else touches your money. zero middlemen, zero fine print. 🔖 save this before everyone finds out and those 638 stars turn into 60k.
- Aug 27, 20263.1x their median
CHINA JUST KILLED THE OCR BUSINESS. A tiny 3B-parameter AI can read an entire 100-page PDF in one shot. No page-by-page splitting. No context loss. No expensive API bill. Meet Unlimited-OCR 👇 → 32K context window → 93% on standard parsing benchmark → <0.11 error rate after 40+ pages → Multilingual → Runs 100% locally → Works with Ollama, vLLM, Docker, llama.cpp & more And here's the crazy part: It's already crossed 1.9M+ downloads on Hugging Face. Most people still haven't heard of it. Most OCR tools chop your PDF into pages. This one reads the whole document as one context. 100% open source. Cloud OCR might be dead.
- Jun 18, 20262.6x their median
https://t.co/l8bqw2c820
- Aug 29, 20262.1x their median
200 PDFS AT ONCE, THIS DOESN’T EVEN FLINCH AND DOESN’T NEED A GPU opendataloader-pdf is open source and just landed #1 overall (0.907) in a benchmark against docling, marker, mineru, unstructured, and seven other parsers. runs 100% on cpu. marker needs a gpu and is roughly a thousand times slower per page in the same benchmark. the difference that actually matters: every extracted element comes with its bounding box and page number by default. docling doesn’t give you that. that means citing exactly where an answer comes from in a rag pipeline stops being a problem. real case: you feed it a scanned or multi-column pdf, get clean markdown for chunking and json with the bounding boxes so you know exactly which page and position backs up every piece of data the ai gives you. free. open source. running on your own machine, no cloud needed. most people are still paying for tools that do this worse.
- Sep 10, 20262.1x their median
Introducing Phoenix-4.5, the fastest and most expressive real-time human rendering model on the market. More natural than ever before: richer facial animation, more expressive emotion and micro-movements, and movement that now extends through the upper body. It is the closest AI has ever come to passing the Turing test face to face.
- Sep 28, 20261.9x their median
How to Build 10K$ Websites in Minutes with Claude Opus 5.5 Save this before you lose it đź”– https://t.co/RMfsnLOJun
- Sep 6, 20261.9x their median
https://t.co/PGjp7aWz8j
- Aug 20, 20261.9x their median
https://t.co/G2fWCHa4JI
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 446 interactions against 738K followers, an engagement rate of 0.06%. Measured over 14 original posts, its engagement rate beats 62% 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 210K times each, and 0.212% of those impressions turn into an interaction. That is about 28.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.6 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 12:00 UTC, and Tuesday is the busiest day of the week. Of the 14 posts sampled, 71% carry an image or video, 7% are part of a thread and 36% link out. The account's strongest tracked post pulled 13K interactions, about 28x its own typical post.
- What is draven's engagement rate on X?
- draven (@dravenip) has an engagement rate of 0.06%, based on the median interactions across 14 original posts from the last 30 days against 737,709 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.06%, draven sits above the 25th percentile of the 212,270 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 @dravenip have real engagement?
- Its engagement rate beats 62% 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 @dravenip post?
- Most posts go out around 12:00 UTC, and Tuesday is its busiest day, at roughly 3.63 posts per day across the measured window.