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Deepinder Goyal engagement report

@deepigoyal - 1.0M followers on X

Measured over 2 original posts from a 30-day window, last computed on October 7, 2026.

Engagement

Per follower
0.265%
of 1.0M followers
Per impression
0.284%
938K views on a typical post
Reach
93.3%
of its followers see a post
Typical post
2.7K
interactions (median)
Saved
0.025%
231 bookmarks on a typical post
Posting rate
0.17/day
active 13% of days
Peak time
06:00 UTC
Sunday

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 2.7K interactions against 1.0M followers, an engagement rate of 0.265%. Posts are seen about 938K times each, and 0.284% of those impressions turn into an interaction. That is about 93.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 06:00 UTC, and Sunday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video and 50% link out. The account's strongest tracked post pulled 42K interactions, about 16x 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 October 7, 2026. Recurring tag: #temple.

Where this sits in the catalog

At 0.265%, Deepinder Goyal sits above the 50th percentile of the 156,282 accounts in this comparison. That places it in the above the median band, which runs 0.127% to 0.604%.

p100.003%
p250.022%
p50 (median)0.127%
p750.604%
p902.32%
p9983.1%
Engagement rate as a share of followers, across the 156,282 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 25,969 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.003%
25th percentile0.022%
50th percentile0.127%
75th percentile0.604%
90th percentile2.32%
99th percentile83.1%

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 06:00 UTC, and Sunday 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 06:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video100% of posts+111%+108% to +115%34K
Outbound link50% 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.
  • 50% 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 644 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

  • Jan 2, 202516x their median

    Ambulance in 10 minutes. We are taking our first step towards solving the problem of providing quick and reliable ambulance service in our cities. The first five ambulances will be on the road in Gurugram starting today. As we expand the service to more areas, you will start seeing an option to book a Basic Life Support (BLS) ambulance through the @letsblinkit app. Some more info- • Our ambulances are equipped with essential life-saving equipment, including oxygen cylinders, AED (Automated External Defibrillator), stretcher, monitor, suction machine, and essential emergency medicines and injections. • Each ambulance has a paramedic, an assistant and a trained driver to make sure we are able to deliver the highest quality of service in time of need. • Profit is not a goal here. We will operate this service at an affordable cost for customers and invest in really solving this critical problem for the long term. • We are carefully scaling this service up, as it is both important and new to us. Our aim is to expand to all major cities over the next two years. Let's do our bit and make way for an ambulance always. You never know when you may save a life.

    33K4.3K2.4K2.3K5.7M viewsView on X
  • Jan 2, 202626x their median

    Last one on this topic, and I have been holding this in myself for a while. For centuries, class divides kept the labor of the poor invisible to the rich. Factory workers toiled behind walls, farmers in distant fields, domestic help in backrooms. The wealthy consumed the fruits of that labor without ever seeing the faces or the fatigue behind it. No direct encounter, no personal guilt. The gig economy shattered that invisibility, at unprecedented scale. Suddenly, the poor aren't hidden away. They're at your doorstep: the delivery partner handing over your ₹1000+ biryani, late-night groceries, or quick-commerce essentials. You see them in the rain, heat, traffic, often on borrowed bikes, working 8–10 hours for earnings that give them sustenance. You see their exhaustion, their polite smile masking frustration with life in general. This is the first time in history at this scale that the working class and consuming class interact face-to-face, transaction after transaction. And that discomfort with our own selves is why we are uncomfortable about the gig economy. We want these people to look our part, so that the guilt we feel while taking orders from them feels less. We aren't just debating economics. We are confronting guilt. That ₹800 order might equal their entire day's earnings after fuel, bike rent, and app cuts. We tip awkwardly, or avoid eye contact, because the inequality is no longer abstract. It's personal. Pre-gig era, the rich could enjoy luxury without moral discomfort. Labor was out of sight. Now, every doorbell ring is a reminder of systemic inequality. That's why debates explode. It's not just policy. It's emotional reckoning. Some defend the system (“they choose it”), others demand change (“this isn't progress, its exploitation”). And here’s the uncomfortable twist: the unsaid ask of clumsy ‘solutions’ isn’t dignity. It is about returning to invisibility. Ban gig work and you don’t solve inequality. You remove livelihoods. These jobs don’t magically reappear as formal, protected employment the next day. They disappear, or they get pushed back into the informal economy where there are even fewer protections and even less accountability. Over-regulate it until the model breaks, and you achieve the same outcome through paperwork instead of slogans: the work evaporates, prices rise, demand collapses, and the people we claim to protect are the first to lose income. And then what happens? The rich get their old comfort back. Convenience returns without faces. Guilt dissolves. We go back to clean abstractions and moral posturing from a distance. The poor don’t become safer, they become invisible again: back in cash economies, back in backrooms, back in shadows where regulation rarely reaches and dignity isn’t even debated. The gig economy just exposed the reality of inequality to the people who previously had the luxury of not seeing it. The doorbell is not the problem. The question is what we do after opening the door. Visibility is the price of progress. We can either use this discomfort to build something better (which we keep doing continuously as delivery partners are our backbone), or we can ban and over-regulate our way back into ignorance. One of those choices improves lives. The other simply helps the consuming class feel virtuous in the dark.

    25K5.1K2.0K1.6K3.7M viewsView on X
  • Jan 1, 202613x their median

    One more thing. Our 10 minute delivery promise is enabled by the density of stores around your homes. It’s not enabled by asking delivery partners to drive fast. Delivery partners don’t even have a timer on their app to indicate what was the original time promised to the customer. After you place your order on Blinkit, it is picked and packed within 2.5 minutes. And then the rider drives an average of under 2kms in about 8 minutes. That's an average of 15kmph. I understand why everybody thinks why 10 minutes must be risking lives, because it is indeed hard to imagine the sheer complexity of the system design which enables quick deliveries. Also, if you've ever wanted to know why millions of Indians voluntarily take up platform work and sometimes even prefer it to regular jobs, JUST ASK any rider partner when you get your next food or grocery order. You will be humbled by how rational and honest they will be with you. Having said that, no system is perfect, and we are all for making it better than today. However, it is far from what it is being portrayed on social media by people who don't understand how our system works and why. If I were outside the system, I would also believe that gig workers are being exploited, but that's not true.

    21K2.2K1.3K4962.5M viewsView on X
  • Jan 2, 20268.3x their median

    Facts below (1/5): In 2025, average earnings per hour (EPH), excluding tips, for a delivery partner on Zomato were ₹102. In 2024, this number was ₹92. That’s a ~10.9% year-on-year increase. Over a longer horizon also, EPH has shown steady growth. Most delivery partners work for a few hours and only a few days in a month. But if someone were to work for 10 hours/day, 26 days/month, this translates to ~₹26,500/month in gross earnings. After accounting for fuel and maintenance (~20%), the net earnings for the partner are ~₹21,000/month. Note: Earnings per hour are calculated on total hours logged in, including the time when the partner might be waiting to receive an order. Earnings per “busy hour” will be higher but that’s not the right metric to look at. On top of this - delivery partners earn 100% of tips given by customers. The average tip per hour in 2025 on Zomato was INR 2.6 and in 2024 was INR 2.4 per hour. Tips are transferred instantly, with zero deductions. We absorb the payment gateway processing cost ourselves. About 5% of the orders get tipped on Zomato; 2.5% on Blinkit.

    17K2.9K1.2K8243.0M viewsView on X
  • Jan 9, 20266.9x their median

    Gentle reminder to all the concerned doctors and/or influencers We haven’t made any public commercial announcements about Temple yet. We haven’t released any official device benchmarking data. A lot of the work is still underway; we’re months away from introducing preview devices to the public, if at all. You are advising people not to buy an “unvalidated” device that isn’t even available to order or pre-order yet. That’s funny, tbh. We will share all the science if and when we decide to sell Temple. You can judge and give all your advice at that moment. Until then, be curious, and cheer Indian startups? Your skepticism is valuable, but at the right time.

    17K9268781881.5M viewsView on X
  • Jan 1, 202636x their median

    Mill workers in Kanpur tried to act in a similar fashion. Result: Mills closed down. The next 2 generations of these workers couldn’t not even have 2 square meals a day. The trade unionist who instigated them went on to become a parliamentarian & lived in a plush Lutyens house.

    10K1.9K18470628K viewsView on X
  • Jan 21, 20264.5x their median

    An important update on leadership changes at Eternal. https://t.co/CALn2QQFWE

    11K5256373551.4M viewsView on X
  • Apr 2, 20264.4x their median

    We just completed a successful flight for our tech demonstrator, Lat One v0.2. Lat Aerospace is building ultra-short takeoff and landing aircraft using blown wing technology. Think fixed-wing performance with near-helicopter access. A couple of months ago, v0.1 achieved uSTOL but crashed shortly after. That was expected. v0.2 was about completing the full mission, and it did. The blown wing concept worked in reality. Closed-loop control got validated. We'd predicted a cruise speed of 30-32 m/s and cruised comfortably at 33. No thermal issues despite a burning afternoon. The quick-detach wings held through aggressive turns. Was in the air for over 6 minutes. Smooth touchdown, and ready to fly again. But the thing that makes me the happiest isn't any of that. It's that our CFD studies, aerodynamic models, SIL simulations, and flight logs all match, almost perfectly. That's what real engineering looks like. I am so proud of our team. A long way to go, and we are getting there. @lataerospace @surobhidas

    10K1.3K375103585K viewsView on X
  • Feb 3, 20264.2x their median

    If you used to work at Zomato, whether you chose to move on, or I was the one who asked you to leave, this is for you. I know that for many of you, Zomato didn't have the environment, or the leadership you needed at the time. But I know for sure, that you loved being at Zomato, and it is quite possible that you never felt like home anywhere else since you left. We have over four hundred people at Eternal today in their second or third stints. Many of them are doing their best work now. Maybe because they've grown, but also because the company has grown. We are more organised, a little less chaotic, and hopefully, I've learned a few things along the way too. If you haven't reached out because you think the door is closed, or because you think I'm holding onto the past, I'm not. I want you back. There is so much to build at Eternal. We are today, a family of companies. Zomato, Blinkit Quick-Commerce, Blinkit Ambulances, District, Hyperpure, Nugget, and Feeding India. We need people who already know what good looks like here, and who care enough to fight for it. There is no better person for that than someone who has been here, left, grown, and wants to come back. You might say that Eternal is not going to be the same, because I am not the CEO anymore. But ask yourself a question. Did titles ever matter at Eternal? I am still very much here, and I'd love for you to be a part of this next phase of Eternal. If you feel like you have unfinished business here, please don't overthink it. Write to me at [email protected]. The Gurgaon pollution is still a bug, but being at Eternal is the feature. Let's talk and find a role that fits your life as it is today.

    10K5025541141.1M viewsView on X
  • Jan 3, 20264.0x their median

    I urge all popular Indian podcasters in all languages to teach the merits/demerits of capitalism (and socialism) to our country. Capitalism has its flaws, but it’s the only proven system which can lift us out of poverty and make a nation worth reckoning.

    9.2K9174211921.1M viewsView on X

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

#temple

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.

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Reading these numbers

A typical post picks up 2.7K interactions against 1.0M followers, an engagement rate of 0.265%. Posts are seen about 938K times each, and 0.284% of those impressions turn into an interaction. That is about 93.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 06:00 UTC, and Sunday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video and 50% link out. The account's strongest tracked post pulled 42K interactions, about 16x 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 Deepinder Goyal's engagement rate on X?
Deepinder Goyal (@deepigoyal) has an engagement rate of 0.265%, based on the median interactions across 2 original posts from the last 30 days against 1,005,364 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.265%, Deepinder Goyal sits above the 50th percentile of the 156,282 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 @deepigoyal have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @deepigoyal post?
Most posts go out around 06:00 UTC, and Sunday is its busiest day, at roughly 0.17 posts per day across the measured window.

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