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Techstars engagement report

@Techstars - 350K followers on X

Measured over 18 original posts from a 30-day window, last computed on October 7, 2026.

Engagement

Bottom 10% for its size
Per follower
0.002%
of 350K followers
Per impression
0.203%
3.2K views on a typical post
Reach
0.91%
of its followers see a post
Typical post
6
interactions (median)
Saved
0.031%
1 bookmarks on a typical post
Posting rate
0.6/day
active 57% of days
Peak time
19:00 UTC
Tuesday

A typical post picks up 6 interactions against 350K followers, an engagement rate of 0.002%. Measured over 18 original posts, its engagement rate beats 10% of 15,519 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 3.2K times each, and 0.203% of those impressions turn into an interaction. That is about 0.913% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.6 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 19:00 UTC, and Tuesday is the busiest day of the week. Of the 18 posts sampled, 78% carry an image or video and 72% link out. The account's strongest tracked post pulled 81 interactions, about 14x its own typical post.

Measured over 18 original posts from a 30-day window, last computed on October 7, 2026.

Compared with accounts its own size

Techstars's engagement rate beats 10% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 9 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 13% 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 0.002%, Techstars sits below the 10th percentile of the 156,027 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.

p100.003%
p250.022%
p50 (median)0.127%
p750.604%
p902.32%
p9983.1%
Engagement rate as a share of followers, across the 156,027 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 25,983 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 19:00 UTC, and Tuesday 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video78% of posts+111%+108% to +115%34K
Outbound link72% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 78% 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.
  • 72% 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 503 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 24, 202614x their median

    Applications for the Techstars Spring 2027 class are now open. ⭐️ Join a portfolio of 11,000+ founders who have raised $55B and produced 29 unicorns. Over three months, startups recieve: 💵 $220,000 in investment 🧠 World-class mentors 🔗 A global network of corporate partners, investors, and alumni 🛠️ Curated workshops and fundraising support 🚀 A cohort to build alongside Apply by Wednesday, November 18th: https://t.co/bB9U7r5roM

    6112717.6K viewsView on X
  • Jul 30, 20264.8x their median

    If you can pitch here, you can pitch anywhere. 🏙️ https://t.co/c1UJ9tiZon

    212425.6K viewsView on X
  • Aug 2, 20263.2x their median

    Great startup communities aren't built to last a few years. They're built to outlast the people who started them. 🎧 https://t.co/93w2D8GSLh https://t.co/dzVrDqIreb

    103337.0K viewsView on X
  • Jul 21, 20263.2x their median

    Boston has always been a cornerstone of the Techstars legacy, and this September, we're bringing our entire global Fall 2026 class to one of the cities that shaped who we are. The Techstars Global Fall Kick-Off, co-hosted by Google Cloud, is a private gathering of our incoming class, bringing together: ⚡ 100+ founders from across our global programs ⚡ 10 Managing Directors ⚡ 4 verticals 🔗 Read more at https://t.co/TM09xr3QAA

    123405.4K viewsView on X
  • Aug 18, 20262.8x their median

    Your burrito just got wings. 🚁 @zipline (Techstars 2011) is bringing drone delivery to Uber Eats. Some of the best stories start with an early bet, and this one is playing out at scale. Techstars made an early seed investment in @Uber years before it became the ride-hailing giant it is today. Zipline, meanwhile, built its autonomous delivery network from the ground up as a Techstars accelerator portfolio company. Now the two are teaming up to reshape how goods move through American cities. Uber Eats customers will start seeing orders arrive by drone later this year, landing in 5 to 10 minutes through a hybrid network of couriers, sidewalk robots, and drones. The goal: one million drone deliveries a day by the end of 2029, expanding across Zipline's existing markets and into dozens of new U.S. cities. Founded by Keller Rinaudo Cliffton, Keenan Wyrobek, Ryan Oksenhorn, and Will Hetzler, Zipline has built one of the most proven autonomous delivery networks in the world, and this partnership brings that infrastructure to everyday food and retail delivery. A Techstars portfolio company and an early Techstars investment coming together to redefine an industry is exactly the kind of outcome we work toward. 🤝 Congratulations to the Zipline and Uber teams! https://t.co/GtyxPziAKM

    132204.1K viewsView on X
  • Jul 19, 20262.8x their median

    InStockRx (Techstars 2023), a pharmacy-to-pharmacy marketplace where verified pharmacies buy and sell brand medications directly, has raised $5M in Series A funding. 💊 Founded by Mac Dougherty, InStockRx now serves more than 1,600 verified pharmacies, helping sellers recover cash from surplus inventory and buyers source needed stock while saving up to 30% versus reference pricing. Every trade also generates the documentation required to support DSCSA compliance. The round will support InStockRx's expansion to pharmacies of every size. Congratulations to the entire InStockRx team! https://t.co/yGeZW3WMLy

    122303.2K viewsView on X
  • Jul 26, 20262.7x their median

    Nicholas Myers spent his early career at Techstars, helping other founders build their companies. Then he launched Phoenix Tailings, a Boston-based critical minerals company now central to rebuilding America's rare earth processing capabilities. In 2020, Clement Cazalot, then Managing Director of Techstars Boston, invested in Phoenix Tailings as part of that year's accelerator class. That same year, he also backed another Boston startup, Machinery Partner, an industrial automation company, and later stepped in as its CEO to scale the business. 🤝 Last month, those paths converged. Phoenix Tailings acquired Machinery Partner, bringing Cazalot onto the leadership team as Chief Operating Officer and folding Machinery Partner's AI and automation technology directly into Phoenix's platform. The timing matters. The U.S. Department of War's Office of Strategic Capital just announced a strategic investment initiative of roughly $1 billion with Phoenix Tailings to accelerate the domestic rare earth industrial base. This mission is about more than one company. It is about securing the supply chains America's industry depends on. Read how the Techstars network became the foundation for one of the most important industrial moves in critical minerals today: https://t.co/1MFslE6INX

    110324.5K viewsView on X
  • Jul 18, 20262.7x their median

    Getting laid off used to be a setback. Now it might be the best shot you'll get to build something big. AI made engineering a utility. The real bottleneck isn't code, it's knowing which problem is worth solving. https://t.co/96j4WbpKSi

    131112.4K viewsView on X
  • Aug 13, 20262.5x their median

    22 Techstars portfolio companies were named to Inc 5000 list! 🏆 Congratulations on making the fastest-growing private companies in America list! ⭐ AceUp (Techstars 2019), a human-centered leadership development solutions provider. ⭐ Artera (Techstars 2016), a platform-level patient communications solution that integrates across a health system's tech stack. ⭐ Branch (Techstars 2016), a workforce payments platform partnering with businesses to accelerate payments. ⭐ Case Status® (Techstars 2018), a software platform for law firms focused on the wants and needs of clients. ⭐ Citruslabs (Techstars 2016), a contract research organization for health and wellness brands. ⭐ Gamesight (Techstars 2015), a measurement platform that helps video game publishers worldwide make marketing decisions. ⭐ LogicGate (Techstars 2016), a software and risk optimization company that provides governance, risk, and compliance software. ⭐ Medzoomer (Techstars 2021), a health care technology company that provides a platform for pharmacies and providers to streamline prescription delivery. ⭐ Mentor Collective (Techstars 2015), an educational technology provider helping institutions implement and assess effective mentoring programs that focus on student belonging and retention. ⭐ Overstory (Techstars 2019), a platform that detects outage and wildfire risk for utility companies, leveraging AI. ⭐ PadSplit (Techstars 2018), a creator of a co-living market platform enabling workers to live in the communities they serve. ⭐ QuSecure (Techstars 2021), offers encryption services to protect data, monitor risk, and defend against threats. ⭐ Revelio Labs (Techstars 2019), a data company that aggregates public employment records to help businesses analyze labor markets and make hiring decisions. ⭐ Seel (Techstars 2019), an agentic post-purchase platform that enables returns and post-purchase care. ⭐ Sigma360 (Techstars 2017), uses AI to help financial institutions automate global risk analyses. ⭐ SoLo Funds (Techstars 2018), an AI-powered community banking platform. ⭐ Spoiler Alert (Techstars 2016), offers an AI-driven operating system for vendors to manage consumer packaged goods and track retail and wholesale sales. ⭐ STAND+ (Techstars 2021), a footwear company that designs shoes engineered to reduce impact and stress on the body. ⭐ TomoCredit (Techstars 2019), an AI-powered financial wellness platform that helps underserved groups gain access to credit. ⭐ Trust & Will (Techstars 2018), a digital estate planning and settlement platform designed to help families maintain their legacy. ⭐ UptimeHealth (Techstars 2019), an equipment and facilities management platform for dental, medical, and veterinary practices. ⭐ Veho (Techstars 2019), a package delivery platform that provides specialized e-commerce shipping and logistics services for major retailers. Read more: https://t.co/FFLLJf41sw

    141005.2K viewsView on X
  • Oct 1, 20262.3x their median

    🌱 Ambition is the starting point. What comes next is the hard part. Techstars backs founders with the capital, mentorship, and global network to turn early momentum into a company that lasts. Whether you're refining your first pitch or scaling toward your next raise, this is where you find the people who've done it before. Applications for our Spring 2026 programs are open. Ready to build? Apply by November 18th: https://t.co/LnMaIMbVi1

    90503.2K 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.

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Reading these numbers

A typical post picks up 6 interactions against 350K followers, an engagement rate of 0.002%. Measured over 18 original posts, its engagement rate beats 10% of 15,519 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 3.2K times each, and 0.203% of those impressions turn into an interaction. That is about 0.913% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.6 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 19:00 UTC, and Tuesday is the busiest day of the week. Of the 18 posts sampled, 78% carry an image or video and 72% link out. The account's strongest tracked post pulled 81 interactions, about 14x its own typical post.

What is Techstars's engagement rate on X?
Techstars (@Techstars) has an engagement rate of 0.002%, based on the median interactions across 18 original posts from the last 30 days against 350,202 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, Techstars sits below the 10th percentile of the 156,027 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 @Techstars have real engagement?
Its engagement rate beats 10% of the tracked X accounts closest to it in follower count (15,519 accounts), which puts it in the bottom 10% 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 @Techstars post?
Most posts go out around 19:00 UTC, and Tuesday is its busiest day, at roughly 0.6 posts per day across the measured window.

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