Udacity engagement report
@udacity - 232K followers on X
Measured over 3 original posts from a 30-day window, last computed on September 30, 2026.
Engagement
Early reading. We have captured 3 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 3 interactions against 232K followers, an engagement rate of 0.001%. Posts are seen about 2.5K times each, and 0.121% of those impressions turn into an interaction. That is about 1.07% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 22 interactions, about 7.3x its own typical post. Only 3 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 3 original posts from a 30-day window, last computed on September 30, 2026.
Where this sits in the catalog
At 0.001%, Udacity sits below the 10th percentile of the 156,969 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.128% |
| 75th percentile | 0.604% |
| 90th percentile | 2.32% |
| 99th percentile | 83.4% |
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 16:00 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 | 100% 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.
- 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 460 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
- Jul 1, 20267.3x their median
The question for today’s engineers isn’t whether you can build an AI agent. It's whether you can build an AI agent you can put in front of a customer. That means evals, guardrails, retries, and handling the non-determinism that breaks things the moment real traffic hits. That’s the difference between a Claude prototype and a production system. The new AI Engineering with Claude Nanodegree program is built around this capability. Across four courses and 13 hands-on projects, you engineer the harness that runs an agent in production, building on the Claude Agent SDK, MCP, and Claude Code. Every project is reviewed by an experienced mentor, and you build in real industry scenarios: insurance, retail, financial services, and manufacturing. Enrollment is now open, time to start building 👉 https://t.co/lqEFiiyaVE
- Aug 25, 20263.3x their median
No computer science degree required. Sabrina Palis spent a decade as a teacher before enrolling in the Master of Science in AI degree program. Her capstone project: a decision support system that uses AI to detect anomalies in aerospace telemetry. Watch the full graduate panel: https://t.co/DnH4sOrvtA
- Aug 12, 20263.3x their median
Multi-agent systems are having a moment, and plenty of them shouldn't exist. Every agent you add brings coordination, handoffs, and failure modes the single-agent version never had, and a lot of problems come out better with one well-engineered agent than five loosely coordinated ones. The judgment call is knowing when the added complexity pays for itself; when it does, the hard parts are the unglamorous ones: scoped roles, structured handoffs, agents you can hold accountable. You design that tradeoff, and build it with the Claude Agent SDK, in the new AI Engineering with Claude Nanodegree program. Learn More: https://t.co/qrwYeDg0vZ #AgenticAI #Claude #MultiAgent #AIEngineering
- Aug 17, 20263.0x their median
What's your best defense against an agent inventing data? It isn't the schema: schema validation checks shape, and a hallucinated value has perfect shape. The agent needed a date, invented one, and the pipeline accepted it, which is how fabricated data spreads through systems that look well defended. The defense is layered: a schema that makes missing data representable, so the model has a legal way to say it doesn't know, plus validation that catches the internal inconsistencies a model smooths over. That extraction work is part of the evaluation coursework in the new AI Engineering with Claude Nanodegree program. Learn more about the program: https://t.co/3jTnCROu0n #AIEngineering #Claude #AgenticAI #StructuredOutputs
- May 12, 20262.7x their median
🆓 Now available: try our most popular Nanodegree program, Agentic AI, free for seven days. Stop piecing together blogs, videos, docs, and demos. Learn how to build production-grade agentic AI systems in one structured program, from prompting and workflows to MCP, LangChain, LangGraph, and multi-agent orchestration. 🤖 Join 19,000+ learners already building real AI agents and systems with Udacity. Start your free trial 👉 https://t.co/TQDQTh5QjQ
- Jul 31, 20262.3x their median
📊 You wire an agent to custom scraper and database servers over MCP, point it at competitor pricing, and make it gather, reconcile, and reason over what comes back, including the malformed responses and misbehaving tools production data guarantees. The project is called PriceScout, and it's one of the hands-on builds in the new AI Engineering with Claude Nanodegree program. Explore this and other projects today: https://t.co/rPZgIcobIi #Claude #MCP #AIAgents #AIEngineering
- Jun 27, 20262.3x their median
You're using AI every day. So why does it still feel like you're not getting the most out of it? It's not because you need to learn a new tool. Not because you haven't tried the right prompts. It's because your thinking hasn't adapted for AI. That's what our new course Agentic Thinking 101 is all about. It’s a free course from Udacity built for working professionals who use ChatGPT, Claude, Copilot, or Gemini and want to get the most out of it. No coding. No technical background required. Just a sharper way of approaching AI that most courses skip entirely. Principal Instructor Simon Allardice teaches you the mindset shift that separates people who plateau from people who excel with AI. You'll learn why giving AI a goal beats giving it a to-do list, how to define "done", and why the people who get the most from these tools are the ones who stay in the lead, not just in the loop. Available free for a limited time. Enroll now ➡️ https://t.co/blzSEbRTxf
- May 28, 20262.0x their median
The tools are changing fast 🛠️ The people getting ahead are learning how to use them together 🧠 Explore programs in: • Generative AI • Agentic AI • Python Programming • Data Analytics • Machine Learning • AI Automation Workflows Learn through hands-on projects designed for real-world application. Our biggest sale of the season ends soon. Lock it in at https://t.co/ZO1mz8Q9zX
- May 6, 2026
The 14-Day Sprint to Build a Viral App 🚀 https://t.co/3mpViwgxjA
- Jul 29, 20261.7x their median
The first MCP server most teams ship takes an afternoon. The security review that follows takes a month, because the server can reach every table in the database, the API key is sitting in a config file, and nobody can say what the agent did with any of it. Scoped access, a secret-leak gate in CI, an audited loop: that layer is the actual engineering, and in the AI Engineering with Claude Nanodegree program you build it alongside the server, because in production they are the same job. Learn more: https://t.co/0pF7Q4BmY0 #AIEngineering #MCP #Claude #AgenticAI
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 3 interactions against 232K followers, an engagement rate of 0.001%. Posts are seen about 2.5K times each, and 0.121% of those impressions turn into an interaction. That is about 1.07% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 22 interactions, about 7.3x its own typical post. Only 3 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 Udacity's engagement rate on X?
- Udacity (@udacity) has an engagement rate of 0.001%, based on the median interactions across 3 original posts from the last 30 days against 231,844 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.001%, Udacity sits below the 10th percentile of the 156,969 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 @udacity have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @udacity post?
- Most posts go out around 16:00 UTC, and Monday is its busiest day, at roughly 0.1 posts per day across the measured window.