Elevation Capital engagement report
@ElevCap - 53K followers on X
Measured over 12 original posts from a 30-day window, last computed on October 15, 2026.
Engagement
A typical post picks up 14 interactions against 53K followers, an engagement rate of 0.025%. Measured over 12 original posts, its engagement rate beats 25% of 20,445 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.5K times each, and 0.894% of those impressions turn into an interaction. That is about 2.83% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 05:00 UTC, and Thursday is the busiest day of the week. Of the 12 posts sampled, 92% carry an image or video and 67% link out. The account's strongest tracked post pulled 78 interactions, about 5.6x its own typical post.
Measured over 12 original posts from a 30-day window, last computed on October 15, 2026.
Compared with accounts its own size
Elevation Capital's engagement rate beats 25% of the tracked X accounts closest to it in follower count (20,445 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 34% 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 0.025%, Elevation Capital sits above the 25th percentile of the 205,676 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.679% |
| 90th percentile | 2.56% |
| 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 05:00 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% | 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 | 92% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 67% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 92% 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 812 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
- Aug 4, 20265.6x their median
Set your clocks and clear your calendar because it's almost Basecamp time! @basecampblr is a one-of-a-kind tech fest bringing together frontier labs, global brands, homegrown startups, and local communities to celebrate the builders who make Bengaluru so special. This week has 80+ events designed to knock an idea loose and help you find your people. 🚀 You can build and ship your most ambitious idea in working sessions with frontier labs 💡 You can learn from experts about AI in defence and law, physical AI, narrative building, and more 🎉 You can mingle with your peers over a meme quiz, board games, breakfast with strangers, or a round of karaoke 💪🏻 You can recharge with a game of cricket, pickleball, golf, or a workout session That’s why we call this the biggest anti-conference India has ever seen! Whether you’re a successful founder or building for the first time, an operator with fifteen years behind you or three months into your first job, an engineer or a designer or a writer, there's a room for you! Or probably 10. This is a festival of global ambition and possibility, and the whole city is the arena. Ambition grows in company. Come find yours at Basecamp. https://t.co/PfiWAURIde
- Jul 16, 20263.5x their median
We're excited to reveal the first lineup of events coming to you this August at @basecampblr! Whether you're looking to build your next big idea or want to go on a run at Cubbon Park, this week promises all that and much more. 🧵
- Feb 12, 20262.9x their median
Voice is the most natural interface we use all day, yet building truly real-time, human-like voice AI is insanely hard. @cartesia's story is an interesting one as they rethink Voice AI. From state space models that can handle streaming context to obsessing over tail latency at millions of calls a day, they’re rebuilding the voice stack for real-time, large-scale applications. With multilingual users, constant code-switching, and enterprise-scale scrutiny on every single call, India stress-tests speech models like no other market. In this episode, @PoorviVijay (Principal, @ElevCap) sits down with @krandiash (Founder & CEO, @cartesia) to unpack how they aim to build one of the fastest, most realistic voice models in the world, and why they’re betting deeply on India. The conversation explores: > Why transformers alone won’t get us to “infinite context” and how state space models change the game > Latency vs tail latency: why a few slow calls can break entire voice experiences > How Cartesia thinks about streaming context, prosody, and matching user emotion in real time > What makes India the ultimate stress test for speech models > Building a research-heavy model company that still thinks product-first Catch the full episode here: https://t.co/a9co17q2LR
- Jul 20, 20262.5x their median
Congratulations to Plazza on their $15 million Series A fundraise! Indian pharmacy isn't one market so much as thousands of micro-markets stitched together. India runs on branded generics, and demand is intensely local. One neighborhood's prescription pattern looks almost nothing like the next. @amanpriyadarshi built Plazza to solve for this with both speed and depth at once. Plazza’s neighborhood stores hold as much as a warehouse and deliver in 15-30 minutes. A replenishment engine learns what each micro-market prescribes, so every store gets better the longer it runs. The promise is a pharmacy that treats availability as the baseline, one where trust earned on a single urgent order pulls a household's entire medicine cabinet onto the platform. We're happy to back Aman and the team on this! Read our full investment memo on Plazza here: https://t.co/Z72UFw0miA @chiragchadha9 | Vishap Rana
- Aug 8, 20262.4x their median
Reporting live from the Push to Prod Hackathon happening right now! 150 builders are bringing their most audacious ideas to life with our incredible mentors in the room. In partnership with @AnthropicAI, @mesaschool_, @devfolio! https://t.co/4RmKPGeyaZ
- Dec 11, 20252.4x their median
"@viditaatrey and @barnwalSanjeev have done the improbable and impossible time and time again…" At @Meesho_Official's listing ceremony yesterday, @mukularora (Co-Managing Partner, @ElevCap) reflected on Meesho's extraordinary decade that redefined how e-commerce should be built for India He spoke about Vidit Aatrey's ability to think really, really long term. That long-term thinking enabled decisions that seemed counterintuitive at the time - evolving from reseller-focused to consumer-focused, making the platform zero commission. Mukul highlighted Sanjeev Barnwal as the quiet backbone, building one of India's strongest engineering teams, and making everything work like clockwork at a scale that would be among the largest globally. But as he concluded, the real story is what comes next. India's e-commerce market is still unfolding. With founders growing stronger with every challenge and a team that's proven stellar execution again and again, there's no doubt Meesho will be one of the defining Indian companies of the next decade. Congratulations to the entire Meesho family!
- Feb 20, 20262.2x their median
Huge congratulations to @PortkeyAI on raising their $15M Series A funding! As AI rapidly becomes the core infrastructure for modern enterprises, it brings two massive operational challenges: ensuring reliability at scale and controlling unpredictable, skyrocketing costs. Led by @jumbld Rohit Agarwal & Ayush Garg, Portkey is transforming how enterprises manage production AI and agent operations with its unified control plane. Portkey’s platform layers a high-performance AI production stack with built-in governance, observability, reliability, and cost management. Sitting directly in the path of AI traffic, where tokens become dollars; it ensures engineering teams maintain operational control while giving finance teams real-time visibility into every cent spent. The scale they've achieved already is phenomenal. Portkey is trusted by AI-forward enterprises like Postman and Snorkel AI, processing over 500 billion LLM tokens across 125 million requests every single day. Today, they are managing over $500,000 in daily AI spend for more than 24,000 organizations globally. We are thrilled to lead this round, with participation from Lightspeed. Wishing Rohit, Ayush and the entire Portkey team continued success and many more milestones to come! @kpowerinfinity @PoorviVijay
- Sep 16, 20262.1x their median
We hosted a welcome mixer with Inkle and Corgi for the Indian founders joining YC's Fall 2026 batch. The conversation ranged from the changing shape of consumer plays to vertical AI narrowing into specific niches. But hardware seemed to be the flavor of the season with teams building for a diverse range of use cases, from drones and semiconductors to personal devices. A huge thanks to @Revanth279, Founder of https://t.co/N05Dd2J0Ic (YC P26), for sharing notes on how to get the most out of these three months. We're excited to see this group take the next step in their journeys with YC. @kpowerinfinity | Dhruv Jain | Sanskar Jain
- Jul 15, 20262.0x their median
We’re excited to introduce @basecampblr, a week-long tech festival in Bengaluru. Our ode to all the audacious founders and operators! We're powering this with a roster of global and homegrown brands, alongside local communities. August 6-12, 2026 https://t.co/vBwwYr8aMc https://t.co/XLIev2pcO5
- Oct 8, 20261.9x their median
For more than two decades, billions of dollars in venture capital have gone into recruiting tools covering every stage of the hiring funnel. Yet recruiters still spend over 65% of their time manually sourcing and screening candidates. And candidates fare no better with roughly 180 applications for a single hire. Today, AI is positioned to close this gap, and we believe the opportunity looks different for every buyer in this space. Three segments are ripe for innovation through AI: → Startups hiring white-collar workers are best served by an AI-native agency → Startups hiring blue-collar workers are best served by a voice or WhatsApp-first infrastructure → Enterprises and GCCs hiring white-collar workers are best served by an orchestration layer tailored to their needs Explore our full read on how AI could create recruitment's first new winner since LinkedIn in 2003: https://t.co/hFBXHVlays
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 14 interactions against 53K followers, an engagement rate of 0.025%. Measured over 12 original posts, its engagement rate beats 25% of 20,445 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.5K times each, and 0.894% of those impressions turn into an interaction. That is about 2.83% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 05:00 UTC, and Thursday is the busiest day of the week. Of the 12 posts sampled, 92% carry an image or video and 67% link out. The account's strongest tracked post pulled 78 interactions, about 5.6x its own typical post.
- What is Elevation Capital's engagement rate on X?
- Elevation Capital (@ElevCap) has an engagement rate of 0.025%, based on the median interactions across 12 original posts from the last 30 days against 53,337 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.025%, Elevation Capital sits above the 25th percentile of the 205,676 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 @ElevCap have real engagement?
- Its engagement rate beats 25% of the tracked X accounts closest to it in follower count (20,445 accounts), which puts it in the bottom 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 @ElevCap post?
- Most posts go out around 05:00 UTC, and Thursday is its busiest day, at roughly 0.47 posts per day across the measured window.