draven engagement report
@dravenip - 731K followers on X
Measured over 12 original posts from a 30-day window, last computed on September 1, 2026.
Engagement
A typical post picks up 546 interactions against 731K followers, an engagement rate of 0.075%. Measured over 12 original posts, its engagement rate beats 66% of 3,774 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 148K times each, and 0.37% of those impressions turn into an interaction. That is about 20.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 12 posts sampled, 67% carry an image or video, 17% are part of a thread and 33% link out. The account's strongest tracked post pulled 12K interactions, about 23x its own typical post.
Measured over 12 original posts from a 30-day window, last computed on September 1, 2026.
Compared with accounts its own size
draven's engagement rate beats 66% of the tracked X accounts closest to it in follower count (3,774 accounts, accounts of similar size (decile 8 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 28% 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 0.075%, draven sits above the 25th percentile of the 36,654 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.433% |
| 90th percentile | 2.10% |
| 99th percentile | 160.5% |
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 13:00 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% | 51K |
| 01:00 UTC | -2% | 52K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 53K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 52K |
| 08:00 UTC | -4% | 61K |
| 09:00 UTC | -3% | 70K |
| 10:00 UTC | -2% | 72K |
| 11:00 UTC | -3% | 78K |
| 12:00 UTC | -2% | 86K |
| 13:00 UTC | -2% | 94K |
| 14:00 UTC | -4% | 97K |
| 15:00 UTC | -2% | 101K |
| 16:00 UTC | -3% | 98K |
| 17:00 UTC | -2% | 91K |
| 18:00 UTC | -1% | 85K |
| 19:00 UTC | -1% | 80K |
| 20:00 UTC | -1% | 74K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -1% | 57K |
| 23:00 UTC | -2% | 52K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 231K |
| Monday | 0% | 288K |
| Tuesday | -2% | 278K |
| Wednesday | -1% | 251K |
| Thursday | -1% | 245K |
| Friday | -3% | 253K |
| Saturday | +3% | 227K |
Best tweets
- Aug 30, 202623x their median
ACABO DE CANCELAR YOUTUBE PREMIUM. He encontrado una alternativa gratis y open source, y después 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 mayoría paga en Premium: → Sin anuncios → Audio en segundo plano en el móvil → Ver vídeos sin iniciar sesión → Sin el rastreo constante de Google Pero lo mejor no son las funciones. Es la experiencia. Las páginas cargan en milisegundos. No hay píxeles de seguimiento. No hay reproducción automática. No hay un algoritmo intentando engancharte durante horas. Además puedes: → Suscribirte a canales sin cuenta de Google → Recibir avisos de vídeos nuevos → Importar todas tus suscripciones de YouTube de una vez → Alojarlo tú mismo si quieres control total → Redirigir cualquier enlace de YouTube automáticamente con una extensión Aviso honesto: Google lleva desde 2024 bloqueando instancias, así que las públicas van a rachas. Autoalojado va mucho mejor. 100% open source. 0 € al mes. Os dejo el repo abajo 👇🏼
- Aug 27, 20265.8x 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
- Aug 27, 20262.5x 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, 20262.3x their median
https://t.co/l8bqw2c820
- Aug 29, 20261.7x 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.
- Aug 17, 2026
GOOGLE LANZÓ LA HERRAMIENTA QUE TODO DEVELOPER LLEVABA AÑOS PIDIENDO Se llama Code Wiki y convierte cualquier repositorio de GitHub en documentación interactiva automáticamente. Esto es lo que hace: → Genera diagramas de arquitectura automáticamente → Explica cómo funciona cada parte del código → Crea documentación que se actualiza sola con cada commit → Detecta dependencias y estructura del proyecto → Monta un chatbot con Gemini que entiende TODO tu código Básicamente: coge un proyecto imposible de entender y lo convierte en algo que cualquier developer navega en minutos. Por ahora funciona con repos públicos, ya están preparando la versión para repos privados. El trabajo que todo developer odiaba (leer código ajeno) acaba de desaparecer.
- Jun 21, 2026
https://t.co/dtjTD4ad1y
- Aug 22, 2026
🚨| HOW ONE PERSON BUILT A FULLY AUTOMATED TRADING BOT IN 34 MINUTES, WITHOUT WRITING A SINGLE LINE OF CODE didn't touch a code editor. just talked to Claude Code. → detects market regime on its own: bull, bear, sideways → switches strategies automatically for each regime → 13 safety checks before every single trade → stop-loss, circuit breakers, position limits, correlation check → walk-forward backtest, not curve fitting, real simulation → connected to Alpaca for free paper trading → 45 out of 45 tests passing → full pipeline: data → regime → signal → risk → order → log hedge funds pay millions to build this. he paid $0.
- Jul 20, 2026
CURSO COMPLETO DE CLAUDE DE 4 HORAS Esta es la guía más detallada de Claude que he visto en línea. Guarda esta página antes de que se te olvide. Construye herramientas. Automatiza el trabajo. Aprende cómo las personas construyen bots y sistemas. https://t.co/lLJGNCfSen
- Aug 20, 2026
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 546 interactions against 731K followers, an engagement rate of 0.075%. Measured over 12 original posts, its engagement rate beats 66% of 3,774 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 148K times each, and 0.37% of those impressions turn into an interaction. That is about 20.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 12 posts sampled, 67% carry an image or video, 17% are part of a thread and 33% link out. The account's strongest tracked post pulled 12K interactions, about 23x its own typical post.
- What is draven's engagement rate on X?
- draven (@dravenip) has an engagement rate of 0.075%, based on the median interactions across 12 original posts from the last 30 days against 731,016 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.075%, draven sits above the 25th percentile of the 36,654 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 66% of the tracked X accounts closest to it in follower count (3,774 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 13:00 UTC, and Monday is its busiest day, at roughly 3.97 posts per day across the measured window.