Accel engagement report
@Accel - 341K followers on X
Measured over 6 original posts from a 30-day window, last computed on October 10, 2026.
Engagement
Early reading. We have captured 6 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 105 interactions against 341K followers, an engagement rate of 0.031%. Posts are seen about 23K times each, and 0.455% of those impressions turn into an interaction. That is about 6.77% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 18:00 UTC, and Wednesday is the busiest day of the week. Of the 6 posts sampled, 100% carry an image or video and 67% link out. The account's strongest tracked post pulled 1.6K interactions, about 48x its own typical post. Only 6 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 6 original posts from a 30-day window, last computed on October 10, 2026.
Where this sits in the catalog
At 0.031%, Accel sits above the 25th percentile of the 202,368 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.142%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.142% |
| 75th percentile | 0.672% |
| 90th percentile | 2.54% |
| 99th percentile | 82.6% |
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 Wednesday 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 | 67% 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.
- 67% 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 415 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 10, 202648x their median
We're building AI that people and organizations can shape and make their own. AI should extend our will and judgment instead of neglecting it; enabling that is the technical challenge we are working to solve. https://t.co/Bi558y4vqD
- Sep 8, 20266.9x their median
We’re announcing that Forus has raised a $150M Series C at a $3B valuation to build the AI network for medicine. Medicine will remain one of the world’s most important industries until humanity achieves immortality, and we are only at the beginning of a new era in what it can do. GLP-1s are changing obesity and cardiometabolic disease. Gene therapies can treat diseases at their genetic source. New cancer treatments are turning diagnoses that were once fatal into diseases people can live with. AI is enabling us to discover of new drugs even faster. But discovery is only the beginning. It still takes more than a decade and billions of dollars to turn a new molecule into an approved medicine, and once it reaches market, more than a third of patients prescribed specialty treatments never receive their first dose. Forus is creating the AI network to accelerate the entire medicine pipeline, from development and launch through prescription and treatment. We connect the companies creating medicines with the doctors who prescribe them and the patients who need them. Today, Forus supports millions of people across all 50 states and is already used by providers to treat patients in 85% of U.S. residential ZIP codes. 9 of the top 15 global biopharma companies work with us, alongside many fast-growing biotechs. Our goal is to put Forus in every doctor’s office in the country and unlock an order of magnitude more medicine for society. There is a generational opportunity to rethink how new medicine reaches people. Forus is becoming how medicine moves from discovery to treatment in America, and as we scale, we’ll become the most important company in life sciences. Forus is not constrained by capital or customer demand; we are constrained by the talent and capacity of our team. To take on the opportunity in front of us, we need exceptional engineers and operators in New York who want to move fast and help us make something that matters. Come build with us. Our Series C was led by Bain Capital Ventures, with Thrive Capital, General Catalyst, Accel, Redpoint, BoxGroup, Pear VC, Vast Ventures, and SV Angel investing alongside them.
- Sep 16, 20266.3x their median
I first came to San Francisco when I was 15, with my dad. He is a programmer. To a teenager from a small island outside of Stockholm, this was the place where the future was being built. We walked into Salesforce East and stood there watching the enormous digital display of moving water. Outside, Salesforce Tower was starting to rise. I remember looking up and thinking it would be pretty sweet to have a tower someday. We are not there yet. What I could not have known is that I would be back years later, having dinner with @Benioff and welcoming @salesforce as a @WeAreLegora customer. Salesforce's Legal and Corporate Affairs organization will now use Legora across North America, EMEA and APAC. Their lawyers keep the judgment calls. We take care of the work around them. We have run on Slack since day one and became Salesforce customers when our sales team outgrew its first CRM, so it is good to have it run in the other direction too. Welcome to Legora, Salesforce. Dad, this one feels special.
- Jun 15, 20266.5x their median
This show with @AravSrinivas is one of the best we have done. - The biggest problem today is power. - We will see large resistance to data centre buildout continue. - Micron will be worth more than Meta. - Export controls have helped China. - Monitoring token budgets is BS and only for losing companies. How is that for spice? I have added my notes from the discussion below but such a special show to do with Aravind in London. 1. Are Agents the End of the Internet Advertising Model? AI agents will disrupt industries built around objective transactions, but subjective spaces like travel, fashion, and shopping are more resilient. When intent is driven by vibes, exploration, and aesthetics rather than one correct answer, chat interfaces struggle to replace browsing, keeping much of the advertising model intact. 2. Biggest Takeaway From Elon Musk? An elite entrepreneur can identify the single limiting bottleneck in a business and focus on it with unusual intensity. True concentration requires discipline: you must ignore even important issues when they distract from the immediate objective that matters most. 3. Did Export Controls Hurt or Help US Competition With China? Export controls gave America a short-term edge by preserving a capability gap between open-source and frontier models. But they may have also forced China to become a stronger physical competitor by pushing its tech ecosystem toward memory-efficient architectures and deeper vertical integration. 4. How Will the Best Organizations Approach Token Budgeting? Enterprises will stop manually tracking model capabilities or micromanaging token budgets across teams. As model optimization accelerates, the best companies will outsource this complexity to AI orchestrators that automatically route tasks to the right models at the right cost. 5. How Can America Retain Competitiveness in AI? The West must build physical infrastructure aggressively, streamline power procurement, and counter alarmist narratives around data centers and job displacement. Leaders should explain the upside clearly: AI can let tiny teams build billion-dollar companies and drive major new GDP growth. 6. What Is the Single Most Important Metric in AI? The key metric is token value per watt per user. Raw model building and fine-tuning are becoming commoditized. The real venture-scale value will accrue to orchestration layers and agent harnesses that deliver high-quality outputs while using minimal data center power. 7. Why Is Moving Fast the Ultimate Expression of Humility? Founders often waste early cycles searching for a permanent moat, when speed is their only real defense. Moving fast is an act of humility because it forces constant contact with the market, repeated assumption testing, and a willingness to let reality overrule ego. (links below)
- Jun 4, 20266.0x their median
VoidZero is joining Cloudflare today. I’m really happy for @evanyou and the team. I’ve admired Evan’s work since long before I met him (Vue days!), so getting to be a small part of this journey has been insanely fun. Excited for what they’l build next! Blog post below.
- Jul 6, 20265.7x their median
NEW: Inside Accel's Growth Investing Strategy An exclusive look at 40 years of legendary deals From a 10% stake in Facebook to: › Nebius (PIPE, up ~13X) › Cursor (now a $60B SpaceX acq) › Cyera (highest-valued private security co) Portfolio includes Anthropic, Spotify, Lovable, Supabase, Vercel, Scale, Decagon, UI Path, Crowdstrike, Linear. With Growth Partners Arun Mathew, Miles Clements, & Matt Weigand, we cover: › Agent economy & real enterprise adoption › Inference buildout and infra as the rate limiter › Token maxing & where spend goes next › 3 trillion dollar IPOs & the race to $10T companies › Why security exploded after Mythos
- Oct 2, 20261.8x their median
Really fun @NoPriorsPod with @goodwin_ml founder of @fractile_ai topics: - how to win the ai chip market, structurally - ai for chip design, what’s compressible - the need to be a frontier lab to serve frontier labs - solving memory bandwidth - new hardware scaling laws https://t.co/LcZGB33XPm
- Oct 1, 20261.8x their median
Armadin raises $255.5M in Series B funding co-led by @a16z and @accel to bring proof, not assumptions, to the organizations that need it most. Read more: https://t.co/KhgZSDI3pe https://t.co/ohHMd3kJWf
- Jun 18, 20263.4x their median
Let's go! We're out of stealth with @TolmoHQ! AI is completely redefining how software gets built. And how it's being attacked. Helping define what security means for this new world was impossible to resist. We had to go back! We’re building the AI agent fleet to secure production environments. Our security agents continuously work on a live production knowledge graph that connects data from code, cloud services, containers, databases, and third-party providers. Imagine high fidelity pictures of what you’re building, with a tracked history of changes at scale! Our team spent years on the offensive side, breaking into cloud services, kernels, or cryptographic implementations, as well as building observability and security solutions for thousands of customers in production at Datadog. Over the last few months, we’ve raised $22M, led by Accel and Y Combinator, assembled a stellar team in San Francisco and have been iterating with our first 45 design partners. It’s go time! Joining me today to announce Tolmo: my cofounders @JbAviat, @poledesfetes, and @arnaud_breton, alongside @msuiche and our early team @wbeuil, @jimmycaputo, @cryptonitemmk, @theraniarnia, and @TylerHaydenSF. We're psyched to embark on this new journey together! We're building Tolmo in the open, and we're looking for feedback. Would love to hear your thoughts about what we're building! https://t.co/1UbONYeIne
- Aug 5, 2026
https://t.co/UC8ztm8Jc2
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 105 interactions against 341K followers, an engagement rate of 0.031%. Posts are seen about 23K times each, and 0.455% of those impressions turn into an interaction. That is about 6.77% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 18:00 UTC, and Wednesday is the busiest day of the week. Of the 6 posts sampled, 100% carry an image or video and 67% link out. The account's strongest tracked post pulled 1.6K interactions, about 48x its own typical post. Only 6 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 Accel's engagement rate on X?
- Accel (@Accel) has an engagement rate of 0.031%, based on the median interactions across 6 original posts from the last 30 days against 341,296 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.031%, Accel sits above the 25th percentile of the 202,368 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 @Accel have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @Accel post?
- Most posts go out around 18:00 UTC, and Wednesday is its busiest day, at roughly 1 posts per day across the measured window.