Baidu Research engagement report
@BaiduResearch - 68K followers on X
Measured over 2 original posts from a 30-day window, last computed on September 18, 2026.
Engagement
Early reading. We have captured 2 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 126 interactions against 68K followers, an engagement rate of 0.184%. Posts are seen about 405K times each, and 0.031% of those impressions turn into an interaction. That is about 591.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 07:00 UTC, and Monday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 1.5K interactions, about 12x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 2 original posts from a 30-day window, last computed on September 18, 2026.
Where this sits in the catalog
At 0.184%, Baidu Research sits above the 50th percentile of the 151,431 accounts in this comparison. That places it in the above the median band, which runs 0.126% to 0.6%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.021% |
| 50th percentile | 0.126% |
| 75th percentile | 0.6% |
| 90th percentile | 2.30% |
| 99th percentile | 84.3% |
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 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 | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 100% 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 290 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
- May 9, 202612x their median
ERNIE 5.1 is here 🚀 ERNIE 5.1 significantly reduces pretraining cost while compressing total parameters to ~1/3 and activated parameters to ~1/2 — using only ~6% of the pretraining cost compared to models at similar scale, while achieving leading performance in its class. 💡Key highlights: 1/ Strong agentic performance approaching leading frontier models. ERNIE 5.1 surpasses DeepSeek-V4-Pro on both τ3-bench and SpreadsheetBench-Verified. 2/ Strong world knowledge and creative writing capabilities, with GPQA and MMLU-Pro performance approaching leading closed-source models, and creative writing ability nearing Gemini 3.1 Pro. 3/ Frontier-level reasoning performance. ERNIE 5.1 scores 99.6 on the challenging AIME26 benchmark with tools, second only to Gemini 3.1 Pro. 4/ Deep search capability. On May 9, ERNIE 5.1 ranked #4 globally and #1 among Chinese models on the Arena Search leaderboard with a score of 1223. ERNIE 5.1 is now available on ERNIE and the Baidu AI Studio Model Playground: 👉https://t.co/qhd67Lg3B4 👉https://t.co/AaQSqDmVGU 👉https://t.co/uCNiypIu1q
- Apr 14, 20265.1x their median
✨ERNIE-Image is here — Baidu's open 8B text-to-image model that punches way above its weight. ✅ Only 8B DiT params, #1 open weights model on GenEval, OneIG, & LongTextBench ✅ Precise text rendering in English, Chinese, and more ✅ Complex instruction following & multi-object control ✅ Posters, manga, multi-panel layouts with structural coherence ✅ Broad styles: photography, cinematic tones, graphic design, and more ✅ Easy to deploy: Runs on 24GB VRAM Two versions: ERNIE-Image — SFT model, stronger general quality in 50 inference steps ERNIE-Image-Turbo — Optimized for speed and aesthetics in just 8 steps 🤗 Model: https://t.co/QCZkSFZEIz https://t.co/Eutm0gurmp 📝 Blog: https://t.co/Gb5uQX4mAU 🖥️ Demo: https://t.co/vikUfdp6KO 🔧 Github: https://t.co/SgFNyxzZKZ 👾 Discord: https://t.co/05DviJtHU0 Join our Discord for free bot access, weekly challenges, and prizes!
- Apr 29, 20264.2x their median
Introducing ERNIE 5.1 Preview — now live! 🚀 Ranked #13 globally and #1 among Chinese labs on @arena 's Text Arena. Top-10 worldwide across: 📐 Math — #9 ⚖️ Legal & Government — #1 💼 Business, Management & Financial Ops — #4 💻 Software & IT Services — #7 Built on the strong pre-training foundation of ERNIE 5.0, ERNIE 5.1 Preview compresses total parameters to ~1/3 and activated parameters to ~1/2 of its predecessor, while using only ~6% of the pre-training cost of comparable models — delivering leading foundational performance at its scale. Try it now 👉 https://t.co/jNwEbwrKps More new models are on the way — stay tuned 👀
- May 14, 20263.9x their median
US vs China update. Stanford's AI Index put the US–China gap at 2.7%. Here's what two years of real-world use from the Text Arena shows. Gap three years ago: +278. Today: +29. @AnthropicAI's Claude Opus 4.6 Thinking vs. Baidu's @ErnieforDevs Ernie 5.1 at the top. The US has never lost #1, but the race keeps closing.
- Sep 14, 20261.7x their median
Welcome back to AI, Evolving. In our second episode, we compare how companies in China and other markets are building AI agents for the workday — and what will set them apart as advanced models and infrastructure become more widely available. This time, we turn to DuMate to examine what it takes for agents to earn our trust and help both individuals and teams do more.
- Apr 28, 2026
GenFlow 4.0 is live, and it's already serving 100M+ monthly active users with 200M tasks completed each month! 🚀 Jointly released by Baidu Wenku and Baidu Drive, GenFlow 4.0 is a major upgrade to our general AI Agent, with a fully revamped Office Agent at its core. Users can now invoke PowerPoint, Excel, and Word Agents in parallel from a single prompt. GenFlow 4.0 is also deeply integrated with OpenClaw, deployable in one click from the Baidu Drive PC or mobile app, turning Baidu Drive into a personal AI workspace. More to come at Baidu Create 2026 in Beijing May 13-14, where we'll explore this year's theme: "Agents at Scale."
- Jul 7, 2026
Unlimited-OCR has surpassed 1M downloads on Hugging Face 🚀 ❤️ Huge thanks to everyone supporting the project 👀 Next up: multilingual and 128k context versions GitHub: https://t.co/VmU9Fhy6A3 HF: https://t.co/hRIm2kzsBS https://t.co/PP5kRzVg9c
- Aug 17, 2026
Meet Kuku AI (库库AI), GenFlow's official Chinese name, announced at Baidu AI Day ✨ GenFlow surpassed 100M monthly active users in April, and its workplace AI tools now reach 25M+ monthly active users. To meet fast-growing demand for AI at work, GenFlow is rolling out desktop and web versions, plus an enterprise edition, bringing general-purpose AI into professional workflows.
- Mar 30, 2026
PaddleOCR has surpassed 73.3K stars on GitHub—overtaking Google’s Tesseract (73.2K) to become the most-starred OCR project globally.🏆 🔗 GitHub: https://t.co/hoofLVISn8 📜 PP-OCRv5: https://t.co/aEBs1SGXYh 📜 PaddleOCR-VL: https://t.co/7stAMVK8ei https://t.co/3MaGlhL9Ph
- Jul 31, 2026
https://t.co/s7UqeAURGk
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 126 interactions against 68K followers, an engagement rate of 0.184%. Posts are seen about 405K times each, and 0.031% of those impressions turn into an interaction. That is about 591.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 07:00 UTC, and Monday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 1.5K interactions, about 12x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is Baidu Research's engagement rate on X?
- Baidu Research (@BaiduResearch) has an engagement rate of 0.184%, based on the median interactions across 2 original posts from the last 30 days against 68,405 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.184%, Baidu Research sits above the 50th percentile of the 151,431 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 @BaiduResearch have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @BaiduResearch post?
- Most posts go out around 07:00 UTC, and Monday is its busiest day, at roughly 0.2 posts per day across the measured window.