Ronin engagement report
@DeRonin_ - 120K followers on X
Measured over 10 original posts from a 30-day window, last computed on October 6, 2026.
Engagement
A typical post picks up 594 interactions against 120K followers, an engagement rate of 0.497%. Measured over 10 original posts, its engagement rate beats 81% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 41K times each, and 1.46% of those impressions turn into an interaction. That is about 33.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 10 posts sampled, 40% carry an image or video and 30% link out. The account's strongest tracked post pulled 9.8K interactions, about 17x its own typical post.
Measured over 10 original posts from a 30-day window, last computed on October 6, 2026.
Compared with accounts its own size
Ronin's engagement rate beats 81% of the tracked X accounts closest to it in follower count (20,444 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 52% 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 0.497%, Ronin sits above the 50th percentile of the 204,956 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.
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 12:00 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 | 40% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 30% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 40% 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.
- 30% 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 819 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
- Mar 16, 202617x their median
https://t.co/J0ULhSHLLH
- Oct 4, 20268.5x their median
buy .si domains with names from 70s, 80s and 90s futuristic sci-fi ai founders keep naming their companies after that era https://t.co/zH3DPvORtR sold for $20k this year, and most of those names are still sitting at morning’s coffee price
- Oct 5, 20263.1x their median
The seventh edition of our Top 100 Consumer AI Apps is here. New this time: a revenue leaderboard, alongside the usual web and mobile traffic rankings. Three years ago we published the first edition. ChatGPT was #1, Claude was unranked, and the entire category was chatbots, image generators, and not much else. In today's edition: - ChatGPT still holds the throne, now with 1B+ monthly actives on mobile - Claude has climbed to #3 on web with nearly 1B monthly visits - The category has expanded to vibe coding (Lovable, Cursor, Replit), music (Suno), design (Figma), voice (ElevenLabs), video (Higgsfield, Kling), agents (Manus), and even hardware (Plaud) Full breakdown from @omooretweets: https://t.co/J9edFBQvCN
- Oct 1, 20261.6x their median
Rough tier list of free github skills i'd actually install in 2026 https://t.co/X2TLYvVd2o
- Sep 27, 2026
here's everything i'm using in AI right now THINKING AND PLANNING - Claude Fable 5.1 (long horizon plans, the one i argue with before anything gets built) - Claude Opus 5.5 (daily driver, fable level work at 40% less to run) - GPT-6 Astra (second opinion on hard calls, and auditing plans the others wrote) - Grok 4.7 (fast takes, and anything that needs live context from X) - AGENTS.md (openai/agents.md, one instruction file every agent now reads) BUILDING - Claude Code (main harness, everything else plugs into it) - Codex (terminal agent, great when i want a second pair of hands on the same repo) - Cursor (editor plus cloud agents for the long boring refactors) - Gemini CLI (throwaway jobs i don't want to spend good tokens on) - Playwright MCP (the agent opens a real browser and checks its own work) CHEAP DECISIONS AT VOLUME - Jev (classify, score, route.. the call you make 10,000 times a day, not twice) - Gemini 3.8 Flash (vision and long context at flash pricing) - GPT-6 Luna (bulk cleanup where quality barely matters) MEMORY & CONTEXT *you can search for all of them in github (just copy the full naming) - thedotmack/claude-mem (context that survives between sessions) - mem0ai/mem0 (memory layer when the agent needs to remember a person, not a repo) - getzep/graphiti (temporal knowledge graph, for facts that change over time) - headroomlabs-ai/headroom + rtk-ai/rtk (compress tool output before it eats your window) RESEARCH & GROUNDING - last30days (reddit, X, youtube, HN, polymarket, then one grounded summary) - firecrawl (any site into clean markdown the agent can actually read) - context7 (live library docs, so it stops inventing APIs that never existed) - Xquik (X data through an API instead of scraping with your own cookies) DESIGN, FRONTEND & SHIPPING - Claude Fable 5.1 + Opus 5.5 (UI polish, the last 10% that makes it look intentional) - Figma (where the decisions still get made) - Rive (interactive motion) - Supabase (backend) + Vercel (hosting) IMAGES - ChatGPT Images 2.5 (Flare for volume, Sunburst when it's the final one) - Nano Banana 2 / Nano Banana Pro (4K, and text inside the image renders correctly) - Midjourney V8.2 (still nobody close on taste) - Grok Imagine Image 2.0 (dense layouts where small text has to stay legible) - Ideogram 4.0 + Recraft V4.1 (typography, vectors, logos) VIDEO - Gemini Omni Flash (google's own default now, conversational editing, native audio) - Seedance 2.5 (30 seconds in one pass, best thing for anything with a story) - MiniMax H3 (15s at 2K, strongest at doing exactly what you asked) - Kling 3.0 (4K multi shot sequences) - Runway Gen-4.5 (complex camera direction in a single prompt) - Higgsfield (motion transfer, plus one place to reach most of the above) SOUND & VOICE - Suno v6 (music, and you can now rewrite specific sections by text) - ElevenLabs Eleven v3 (voices and SFX) + Eleven Music + Scribe v2 for transcription 3D, AVATARS & POST - Meshy 7.1 + Tripo H3.1 (text or image into a usable mesh) - HeyGen Avatar V (15 second recording, holds identity across a long video) - DaVinci Resolve 21.1 (21.1 lets Claude Code drive the timeline, that's the real headline) - OpusClip (long form into shorts) + Descript (edit video by editing the transcript) RUNNING WHILE I SLEEP - Hermes Agent by Nous Research (self hosted, writes its own skills from experience) CAPTURE & KNOWLEDGE - Wispr Flow (dictation that fixes you mid sentence instead of typing you literally) - Granola (meeting notes) - Obsidian (knowledge base, no first party AI, all plugins, still the best) - Notion 3.7 (where the agents read from when they need team context) REPOS WHICH I USE MAINLY - obra/superpowers - anthropics/skills - mvanhorn/last30days-skill - ai-hero-dev/ai-hero (matt pocock) - hesreallyhim/awesome-claude-code - ComposioHQ/awesome-claude-skills - punkpeye/awesome-mcp-servers - openai/agents.md most people are collecting tools, the ones winning picked 5 and went deep anything missing here? 🤣 average spend on tokens & usage for such as toolkit ~$1,300 monthly drop what you're running, i'll test it and report back
- Sep 7, 2026
https://t.co/3v5f77dM2H
- Oct 5, 2026
build ai solutions for physical businesses today researched that 4 companies which provide ai solutions for AIR CONDITIONERS, became unicorns this year… fck, i never guessed that anybody besides of air conditioners companies can make decent money on that… probably after this story i found an exit from my existential crisis next months wanna try to run something around ai + physical business sector
- Oct 1, 2026
I'm in an existential crisis rn, and I'm sure of one thing Burnout happens when you work hard for a sense of meaning that society sold you, and it isn't enough Yeah, sure I am pretty happy that previous month I did over $70k net income But even with decent money, I feel no real fulfillment, like I'm living an impostor's life I feel myself much better when I just figure out in electronics + robotics, but by some reason I choose the path which doesn’t make me happy I follow the goals and trends which are created by somebody, but at this time my rational mind is turning off I start discovering each new model as a crazy, measure the efficiency of it, try to integrate to my workflow, but basically it doesn’t change anything significantly Why I do this? Since I read the forums, I read these fake AI sloppy tweets where people get +1000% output and spend 400x less tokens and I have in mind: “Wow, I am out the race if I don’t try it now, I will be underclass if I will not follow the crowd into the race of efficiency” But into the reality everything what happens around AI nowadays is just a white noise And I realize that’s in 5-10 years, the core problem of humanity will be the depression Since I feel on myself and track it through my frens, that our physiology is totally not adapted to such fast changing world And in this race of efficiency and trying to create something new, we just lose ourselves I don’t think that ASI will make us happier, because behind this stays a huge crisis which nobody can solve and heads of our world just saying: “We think in 2036 year, humanity will not need money, everybody is just going to live as average, nothing scary” Idk if anybody feels the same, but I am almost done to live as imposter… I want to be a happy boy in my 20s, I want to grow step by step, but I can’t stay focused in one niche for years, since probably it will be just replaced I don’t this step-by-step level up through the life where I have exact plan for 5-10 years and I just stay aligned with this And it breaks me…
- Sep 30, 2026
My top 5 open-source & local LLM profiles: - @MiaAI_lab - @TheAhmadOsman - @jun_song - @ggerganov - @danielhanchen they literally give me insides which are 6 months ahead trends
- Sep 24, 2026
+ vibe https://t.co/RFKUnNgBde
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 594 interactions against 120K followers, an engagement rate of 0.497%. Measured over 10 original posts, its engagement rate beats 81% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 41K times each, and 1.46% of those impressions turn into an interaction. That is about 33.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 10 posts sampled, 40% carry an image or video and 30% link out. The account's strongest tracked post pulled 9.8K interactions, about 17x its own typical post.
- What is Ronin's engagement rate on X?
- Ronin (@DeRonin_) has an engagement rate of 0.497%, based on the median interactions across 10 original posts from the last 30 days against 120,365 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.497%, Ronin sits above the 50th percentile of the 204,956 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 @DeRonin_ have real engagement?
- Its engagement rate beats 81% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top 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 @DeRonin_ post?
- Most posts go out around 12:00 UTC, and Monday is its busiest day, at roughly 1.93 posts per day across the measured window.