maria engagement report
@mariagpts - 80K followers on X
Measured over 14 original posts from a 30-day window, last computed on October 10, 2026.
Engagement
A typical post picks up 229 interactions against 80K followers, an engagement rate of 0.284%. Measured over 14 original posts, its engagement rate beats 68% of 19,933 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 11K times each, and 2.09% of those impressions turn into an interaction. That is about 13.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 20:00 UTC, and Tuesday is the busiest day of the week. Of the 14 posts sampled, 93% carry an image or video, 7% are part of a thread and 36% link out. The account's strongest tracked post pulled 5.8K interactions, about 25x its own typical post. Recurring topics include #computeruse, #developertools, #pinecomputer.
Measured over 14 original posts from a 30-day window, last computed on October 10, 2026. Recurring tags: #computeruse, #developertools, #pinecomputer.
Compared with accounts its own size
maria's engagement rate beats 68% of the tracked X accounts closest to it in follower count (19,933 accounts, accounts of similar size (decile 6 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 61% 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 0.284%, maria sits above the 50th percentile of the 201,130 accounts in this comparison. That places it in the above the median band, which runs 0.141% to 0.671%.
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 | 82.4% |
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 20:00 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 | 93% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 36% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 93% 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 379 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, 202625x their median
🚨 GPT-6 ASTRA ACABA DE DEJAR SIN TRABAJO A LAS AGENCIAS DE DISEÑO DE $50,000 Este tío te enseña en 10 minutos a construir sitios web de $50k con GPT Astra, sin equipo y sin diseñador. Tutorial paso a paso. 🔖 Guárdalo. https://t.co/LxmCae28vi
- Sep 28, 20264.3x their median
UN DESARROLLADOR CHINO CONSTRUYÓ UNA HERRAMIENTA QUE HACE EL TRABAJO DE CUALQUIER EDITOR. Se llama MoneyPrinterTurbo y ya tiene +83.000 estrellas en GitHub. Escribes un tema y te devuelve el vídeo terminado: guión, clips HD, subtítulos, música y voz en off. El mismo pipeline que usan los canales faceless que facturan 6.000-10.000$/mes. Ellos pagaron. Esto es gratis. → Funciona con Claude y GPT → También DeepSeek y Gemini → Varios vídeos a la vez → 9:16 para TikTok y Reels → 16:9 para YouTube → Voz con preview en directo → Subtítulos 100% editables → Música ya integrada Corre en local, o sin instalar nada con Google Colab. Sin suscripciones. Sin marcas de agua. Sin límites. Enlace abajo :)
- Sep 4, 20263.6x their median
TOP 3 REPOS DE GITHUB para montar tu stack de trading automático. 1. HKUDS - Vibe Trading https://t.co/y9nHDswM8M… 2. The Swarm Corporation - AutoHedge https://t.co/w6XTFRhIkV… 3. Fincept Corporation - FinceptTerminal https://t.co/Wc3aRpBi1a… Guarda esto marcando como favorito ahora.
- Aug 22, 20263.0x their median
UN TRADER CONVIRTIÓ $1.092 EN $83.000 EN SOLO 3 SEMANAS USANDO LA GUÍA DE ANTHROPIC. Sin código. Sin suscripciones. Solo un sistema de 3 partes que detecta el desfase entre los mercados spot y los mercados de 5 minutos. https://t.co/GxDcPADSJ3
- Sep 1, 20262.4x their median
“Help me. Shopify just suspended my account.” Someone posts this on X every single day. Every day, another brand dies. Money frozen. Subscriptions dead. Customer cards locked inside a processor they can’t access anymore. They didn’t do anything wrong. They just scaled too fast. Quick background on me: I ran multiple 8-figure ecom businesses. Dropshipping, subscriptions, nutra, wellness. I got so many of those “Your account is under review” emails from Stripe, Shopify Payments and PayPal. So I decided to change how this industry works. Teamed up with my co-founders and built Tagada Pay. A processor built for scaling DTC, subscriptions, nutra, wellness, the verticals traditional processors call “high-risk” and treat like criminals. Here’s what we did differently: - Merchants own every card token. Switch processor anytime, keep every subscription active. No more losing years of LTV overnight. - Dynamic pricing based on your real risk, not on how fast you grow. Because being punished for scaling is insane. - Live in 24h on Shopify, WooCommerce, or build with Claude using our SDK. - Onboarding entities from US, Canada, UK, EU, UAE, HK, ANZ, and more. Processing in 150+ countries. - D+2 payouts. Because cashflow kills more brands than margins. - Real human support alongside our AI. Bigger accounts get dedicated AMs with real operator experience. With BFCM around the corner, there’s no better time to introduce the processing infrastructure built for scaling ecom brands.
- Sep 5, 20262.2x their median
SEIS GROK BOTS GANARON $1.180 DURANTE LA NOCHE. Cero intervención humana. https://t.co/hZmS5ei21Q
- Sep 1, 20262.1x their median
CLAUDE ACABA DE TOMAR EL CONTROL DE TRADINGVIEW Y EJECUTÓ OPERACIONES SIN INTERVENCIÓN HUMANA Un usuario mostró cómo Claude puede analizar mercados, escanear futuros de BTC y simular decisiones de trading directamente dentro de TradingView con análisis automatizado y backtesting https://t.co/bwyNJ4vAxA
- Sep 26, 20261.8x their median
LE DIO $1.000 A 5 GROK BOTS. LO QUE PASÓ DESPUÉS ES UNA LOCURA. Escanearon 18.000 lanzamientos, hicieron 11 trades, y una sola operación con 190x de retorno convirtió todo en $80.000. https://t.co/nY1Jn0gRwy
- Oct 6, 20261.7x their median
CLAUDE ESTÁ EMPEZANDO A HACER ALGO QUE NADIE VIO VENIR EN CRYPTO. Convertir el sentimiento de X en ventaja de trading. En 2026: o la IA se adelanta a la masa, o tú te conviertes en su liquidez de salida. https://t.co/iGeDIE70vx
- Oct 3, 20261.7x their median
UN INGENIERO DE ANTHROPIC HABRÍA HECHO ALGO QUE SUENA DEMASIADO BUENO PARA SER VERDAD. Convirtió $200 en $14.000, usando un bot de trading de IA en Polymarket. El sistema, impulsado por Claude, escanea miles de wallets, analiza millones de trades, y se enfoca solo en movimientos de mercado de alta probabilidad impulsados por ballenas.
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.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 229 interactions against 80K followers, an engagement rate of 0.284%. Measured over 14 original posts, its engagement rate beats 68% of 19,933 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 11K times each, and 2.09% of those impressions turn into an interaction. That is about 13.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 20:00 UTC, and Tuesday is the busiest day of the week. Of the 14 posts sampled, 93% carry an image or video, 7% are part of a thread and 36% link out. The account's strongest tracked post pulled 5.8K interactions, about 25x its own typical post. Recurring topics include #computeruse, #developertools, #pinecomputer.
- What is maria's engagement rate on X?
- maria (@mariagpts) has an engagement rate of 0.284%, based on the median interactions across 14 original posts from the last 30 days against 80,434 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.284%, maria sits above the 50th percentile of the 201,130 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 @mariagpts have real engagement?
- Its engagement rate beats 68% of the tracked X accounts closest to it in follower count (19,933 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 @mariagpts post?
- Most posts go out around 20:00 UTC, and Tuesday is its busiest day, at roughly 1.97 posts per day across the measured window.