Databricks engagement report
@databricks - 96K followers on X
Measured over 29 original posts from a 30-day window, last computed on August 24, 2026.
Engagement
A typical post picks up 67 interactions against 96K followers, an engagement rate of 0.07%. Measured over 29 original posts, its engagement rate beats 44% of 3,863 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 5.0K times each, and 1.33% of those impressions turn into an interaction. That is about 5.22% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 18:00 UTC, and Thursday is the busiest day of the week. Of the 29 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 354 interactions, about 5.3x its own typical post. Recurring topics include #dataaiworldtour, #dataaisummit.
Measured over 29 original posts from a 30-day window, last computed on August 24, 2026. Recurring tags: #dataaiworldtour, #dataaisummit.
Compared with accounts its own size
Databricks's engagement rate beats 44% of the tracked X accounts closest to it in follower count (3,863 accounts, accounts of similar size (decile 5 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 54% 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 0.07%, Databricks sits above the 25th percentile of the 37,582 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.081%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.081% |
| 75th percentile | 0.439% |
| 90th percentile | 2.10% |
| 99th percentile | 158.1% |
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 18:00 UTC, and Thursday 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% | 52K |
| 01:00 UTC | -2% | 53K |
| 02:00 UTC | -3% | 51K |
| 03:00 UTC | -4% | 55K |
| 04:00 UTC | -6% | 44K |
| 05:00 UTC | -4% | 43K |
| 06:00 UTC | -4% | 50K |
| 07:00 UTC | -5% | 54K |
| 08:00 UTC | -4% | 62K |
| 09:00 UTC | -3% | 72K |
| 10:00 UTC | -2% | 74K |
| 11:00 UTC | -3% | 81K |
| 12:00 UTC | -2% | 89K |
| 13:00 UTC | -2% | 98K |
| 14:00 UTC | -4% | 101K |
| 15:00 UTC | -2% | 104K |
| 16:00 UTC | -3% | 102K |
| 17:00 UTC | -3% | 94K |
| 18:00 UTC | -1% | 88K |
| 19:00 UTC | -2% | 83K |
| 20:00 UTC | -1% | 77K |
| 21:00 UTC | -1% | 68K |
| 22:00 UTC | -2% | 59K |
| 23:00 UTC | -2% | 53K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 237K |
| Monday | 0% | 300K |
| Tuesday | -3% | 299K |
| Wednesday | -1% | 256K |
| Thursday | -1% | 249K |
| Friday | -3% | 258K |
| Saturday | +3% | 232K |
Best tweets
- Aug 13, 20265.3x their median
Today, we’re pleased to share strong momentum across our business, including crossing $7B in revenue run-rate and achieving >80% year-over-year growth in Q2. We also shared: • >$100M revenue run-rate for Lakebase • >$1.5B revenue run-rate for Lakehouse • Closed $5B in new strategic funding at a $190B valuation This new capital will fuel investments in Genie, Lakebase and Unity AI Gateway so we can help customers scale AI with greater context, control and choice. Learn more: https://t.co/Skpq3Ms1OQ
- Aug 13, 20265.0x their median
Introducing Smart Routing in Unity AI Gateway. Stop overpaying for AI. Smart Routing matches each coding task to the right model and harness based on what the task needs, so higher-cost models can differentiate on intelligence while lower-cost models differentiate on cost and performance. Match frontier quality and cut task costs by 30%+. https://t.co/S246p25kWp
- Aug 11, 20263.3x their median
We’re excited to announce that @ElectricSQL, the maker of PGlite, is joining Databricks to bring WASM Postgres to AI agent sandboxes. Together, we’re excited to extend Databricks' Postgres capabilities from the lakehouse to the edge. Electric is leading the way in pioneering backend technology purpose-built for agents. With PGlite, every agent gets its own WASM Postgres build right inside the sandbox where it runs, providing ultra low latency access to local context. And Electric’s real-time sync engine synchronizes distributed state back to a central Lakebase, enabling teams of agents to collaborate without losing track of shared context. Please join us in welcoming the Electric team! https://t.co/U1pMDP5UF8
- Aug 20, 20262.2x their median
What does it take to run data behind products used by one billion people every week? For @OpenAI, Databricks serves as a governed, multicloud foundation across Azure and AWS, powering analytics, marketing, finance, trust and safety, and critical security operations—from threat detection to incident response across high-volume infrastructure. Beyond using Databricks as its underlying data platform, OpenAI is also a strategic partner. Through the partnership, business users already using ChatGPT Work can use Genie MCP to talk to enterprise data. Explore how OpenAI runs data at scale on Databricks: https://t.co/i7uyabbYQg
- Aug 17, 20261.9x their median
“With coding agents, you’re putting this jetpack on and going 10,000 miles an hour, doing things you were never able to do before.” In this conversation, @OpenAI’s @steipete and @thsottiaux join Databricks Co-founder @pwendell to unpack what comes next as agents move beyond code authoring into observability, operational work, and long-running responsibilities across software and data systems. Watch the full conversation: https://t.co/5j8A1W0ZnJ
- Aug 15, 20261.6x their median
Getting started with Databricks Apps can be as simple as giving your coding agent the right prompt. DevHub prompts can help check your environment, set up what you need, scaffold an app, and deploy it to your Databricks workspace. Then, use templates to keep building without starting over. For example, the Genie Analytics app template adds a chat interface so users can query data in your Databricks workspace using natural language. Explore now: https://t.co/eMFQCJ4hAV
- Aug 13, 20261.5x their median
CEO @alighodsi claims AGI already arrived, with the fortune now buried in context the models don't have, writes Victor Dey for Forbes. Today we closed $5 billion in financing at a $190 billion valuation. The capital is going toward Genie, Lakebase, and Unity AI Gateway, the three bets we're making on what enterprises actually need from AI: access to the context buried across a business, databases built for agents, and control over token spend. "Unity AI Gateway lets you route all of your tokens through one system and set budgets for different groups or individuals. We call it switching from token maxing to value maxing," says Ghodsi. More from @Forbes writer @iamVictorDey: https://t.co/K26jxWkXyy
- Aug 17, 20261.5x their median
At Databricks, thousands of engineers use coding agents every day, and that makes AI spend one of the fastest-growing line items in R&D. We found that one budget could not do two jobs well. So we split the problem: 1. A daily budget catches runaway spend, with self-serve increases when usage is intentional 2. A monthly budget governs extraordinary spend, with project-based, manager-approved increases Because every coding agent routes through Unity AI Gateway, the same controls apply across tools and models, with usage metered in one place. The goal is not to slow AI adoption. It is to give engineers room to build while keeping spend visible and controlled. https://t.co/xQbAoQFEUo
- Aug 12, 20261.5x their median
Classifying text against taxonomies with 100,000+ labels creates a hard tradeoff between accuracy, cost, and maintainability. We tested three approaches across vendor normalization, company deduplication, and biomedical entity linking: • Vector search • Vector search followed by AI Classify • Direct frontier model calls with prompt caching The AI Classify workflow delivered five points higher average accuracy than the next-best direct frontier model at roughly one-hundredth of the per-document cost. The pattern is simple: retrieve the most relevant labels first, then classify. Explore the benchmark and workflow: https://t.co/fUz5oOXwiC
- Aug 22, 2026
Working with multiple AI agents shouldn’t mean rebuilding the same setup every time. Omnigent is Databricks’ open-source meta-harness that gives agents a shared layer for orchestration, control, and collaboration. Switch agents without losing context, route tasks intelligently, set contextual policies and spend controls, and add human approval where it matters. @YoussefMrini and Quentin Ambard sit down with Databricks co-founder and CTO @matei_zaharia to show how it all comes together. https://t.co/YD18n1KcrO
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.
Buy or sell X accounts - escrow-protected
PlayerSells is an escrow marketplace for X accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 67 interactions against 96K followers, an engagement rate of 0.07%. Measured over 29 original posts, its engagement rate beats 44% of 3,863 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 5.0K times each, and 1.33% of those impressions turn into an interaction. That is about 5.22% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 18:00 UTC, and Thursday is the busiest day of the week. Of the 29 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 354 interactions, about 5.3x its own typical post. Recurring topics include #dataaiworldtour, #dataaisummit.
- What is Databricks's engagement rate on X?
- Databricks (@databricks) has an engagement rate of 0.07%, based on the median interactions across 29 original posts from the last 30 days against 96,412 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.07%, Databricks sits above the 25th percentile of the 37,582 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 @databricks have real engagement?
- Its engagement rate beats 44% of the tracked X accounts closest to it in follower count (3,863 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 @databricks post?
- Most posts go out around 18:00 UTC, and Thursday is its busiest day, at roughly 1.33 posts per day across the measured window.