GREG ISENBERG engagement report
@gregisenberg - 751K followers on X
Measured over 32 original posts from a 30-day window, last computed on October 2, 2026.
Engagement
A typical post picks up 952 interactions against 751K followers, an engagement rate of 0.132%. Measured over 32 original posts, its engagement rate beats 75% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 67K times each, and 1.42% of those impressions turn into an interaction. That is about 8.95% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 19:00 UTC, and Tuesday is the busiest day of the week. Of the 32 posts sampled, 50% carry an image or video, 9% are part of a thread and 34% link out. The account's strongest tracked post pulled 10K interactions, about 11x its own typical post.
Measured over 32 original posts from a 30-day window, last computed on October 2, 2026.
Compared with accounts its own size
GREG ISENBERG's engagement rate beats 75% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 57% 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 0.132%, GREG ISENBERG sits above the 25th percentile of the 204,583 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 | 0.677% |
| 90th percentile | 2.55% |
| 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 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.
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 | 50% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 34% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 50% 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.
- 34% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 801 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 31, 202611x their median
The biggest opportunities right now: 1. build for solving loneliness (the more AI floods everything, the more people crave real human connection, IRL and small social) 2. build for agents that need to spend money (they're getting virtual cards and budgets, someone builds the spend controls, fraud protection, receipts) 3. build for people drowning in AI output (everyone generates infinite drafts now, the bottleneck moved to reviewing and choosing, build the judgment layer) 4. build for the burnout economy (everyone is expected to always be on and always optimizing, and the backlash toward rest, slowness, and enough is building) 5. build for verifying humans (deepfakes broke trust, every dating app, marketplace, and video call needs proof-of-human within 2 years) 6. build for the physical world (the trades, hardware, robots that AI is finally reaching) 7. build for the agent that answers the phone (every local business misses calls after 5pm, a voice agent that books the job is worth thousands a month) 8. build for the aging (70M+ boomers who want to stay healthy, sharp, and connected) 9. build for the LLM-search land grab (being the cited answer is the new SEO) 10. build for the newly automated (the paralegal, the analyst, the marketer whose job just changed and needs to reskill fast) 11. build for the seat-pricing collapse (software repricing from $50/seat to per-outcome, whoever nails outcome billing wins a category) 12. build for AI enablement (95% of businesses use nothing beyond ChatGPT, someone has to onboard the other 95%) 13. build for the agency everyone resents (businesses pay $1k/mo to agencies they hate, an agent that does 80% of it undercuts the model) 14. build for verticals on 2011 software (dentists, HOAs, contractors, all overdue for an AI-native rebuild) 15. build for reviving dead software (thousands of abandoned apps with real users, agents can maintain what a team couldn't, buy and revive) 16. build for markets too small to matter before (500 lobster fishermen was never worth a team, now it's a weekend and a real business) 17. build for agents hiring agents (a shadow economy is forming, it needs escrow, reputation, and dispute resolution for machines) 18. build for the anti-AI premium (as everything gets generated, human-made and analog become status symbols people pay up for) 19. build for distribution-first (anyone can build the product now, so the audience is the moat, media company first, product second) 20. build for the reinvention of college (what does an MBA even mean anymore) 21. build for a world with more free time than it knows what to do with (if AI takes the busywork, the question becomes what people do with the hours, and that's a civilization sized market) note: more trends/ideas @ideabrowser (free to sign up) 22. build for the return to the physical (screens fill with slop, people crave the real world, the hands-on, the local, the analog) 23. build for the caregiving wave. The population is aging fast, tens of millions are caring for parents, and the whole burden is landing on families with no support. 24. build for the longevity shift (people want to live to 100 healthy, and a whole industry is forming around actively managing your own biology) 25. build for the housing and rootlessness problem (people can't afford to settle down, and the whole idea of a stable home base is up for grabs) 26. build for spiritual hunger (as institutions hollow out, the need for meaning, ritual, and belonging is exploding into new forms) KEEP BUILDING
- Jul 29, 20269.0x their median
Stripe had around 50 users after its first 2 years. Imagine quitting because of that.
- Oct 13, 20247.4x their median
my entire content strategy is this give you free startup ideas + growth playbooks that work i won't hold back and every time you build something from my tweets/pod I'm sippin' a martini & cheering you on your success is my ultimate flex now go ship something & make me proud https://t.co/4mXJR800Hx
- Sep 20, 20265.8x their median
https://t.co/wfHAsNRGZT
- Aug 13, 20264.7x their median
i agree https://t.co/NJHpA9zjce
- Sep 30, 20264.4x their median
Stop what you’re doing and build a plugin extension for ChatGPT. We’ve grown over 2000% since the announcement! https://t.co/snbxQhdLpA
- Aug 2, 20264.3x their median
Every startup should have a daily markdown file called "what_the_market_is_telling_us.md" It updates every morning from the places where customer truth already lives: 1. Stripe for who pays, upgrades, downgrades, and churns 2. PostHog for what people actually do in the product 3. Intercom or Plain for support tickets/complaints 4. Granola or Gmeet transcriptions for sales calls/ customer interviews 5. HubSpot or Salesforce for CRM notes/lost deal reasons 6. Linear, Jira, or GitHub Issues for bugs and feature requests etc 7. Ideabrowser MCP for outside market signal: startup ideas, trend reports, social/search demand, AI research reports, and builder prompts that show what people are starting to want before it shows up in your own customer data. Basically, the file should notice what changed in the business this week and not just be this summary of here’s what happened (which I think a lot of people have their agents do). Why this is valuable: 1. Maybe new buyers are using different words than they were a month ago. 2. Maybe trial users are getting stuck in the same place. 3. Maybe upgraded customers all touched one feature right before they paid. 4. Maybe churned customers keep mentioning setup confusion. 5. Maybe sales calls are suddenly losing to a competitor you used to beat. 6. Maybe support tickets are revealing a workflow your product accidentally became responsible for. You get the point. The fastest way to PMF is understanding customers better than anyone else, and the highest signal customer insight is usually a change in behavior. So I’d have the agent update the file every morning with the pattern it found, the receipts behind it, and the product or GTM decision it might affect. For example: “3 customers who churned this week all mentioned setup confusion, and 2 of them never invited a teammate. This looks more like an activation problem than a pricing problem, so I’d look at team invite and onboarding before building another analytics feature.” A little helpful tip for all those out there looking to get more from their LLMs.
- Sep 5, 20264.0x their median
I've seen 100+ people post GPT-6 Astra demos where it builds 3D games, and those are cool, but that's honestly not the part I can't stop thinking about. Millions of people can turn an idea into a printable object, a CAD file, a Blender model, or a circuit board, without having to become a full time 3D designer first. So how many thousands of $1M+ businesses come out of that? Well, you'd pick a niche that constantly needs small custom parts. A few examples: 1. Gyms with broken equipment pieces 2. Restaurants missing some weird proprietary clip 3. Cyclists who want custom mounts 4. Small manufacturers stuck doing the same hand work every day with a jig they wish existed 5. Dentists and clinics needing custom jigs, guides, or tool holders You put up a simple page where someone uploads a photo, adds measurements, and describes the part. Astra can do the first CAD pass, you sanity check the dimensions and material, and a print farm ships it. Of course, you need the idea/niche/distribution first, but you're in business. You just became a manufacturer, and it's kinda like your factory is a chat window. (I'll add more of these manufacturing ideas to https://t.co/a5ARFnvky2) TLDR; In 2024, Lovable/Bolt/Replit/v0 etc turned anyone into a vibe coder. The effects of that are still playing out but we're seeing basically anyone create websites/apps. In 2026, OpenAI turned anyone into a vibe manufacturer, this shift just started. Really big deal and underdiscussed.
- Aug 26, 20264.0x their median
This is the MOST asymmetric window I've ever seen in business. It's honestly hard to comprehend. Never in history have this many categories opened at once, ALL ripe for the taking: 1. Take a boring business doing 20% margins, an accounting firm, an IT shop, a local service company, and swap the human labor for agents until it runs at software margins with customers it already has. This is the Thrive Holdings model. 2. Build the picks and shovels, the clean API or data source that agents call 1000 times a day, and get paid per call instead of per user. I call this being in the building blocks business. 3. Buy a sleepy SaaS with real customers and a tired founder, then rebuild it AI native and 10x what it can do while building a media machine along side it. 4. Run a service business that looks like an agency on the outside but is really you plus a team of agents doing the delivery, priced like consulting, delivered like software. 5. Watch what people are still hiring for on Upwork, the "data entry specialist," the "appointment setter," the "research assistant," and build the productized agent that replaces that exact role, then sell it to every company posting the job. Vertical agents are here! I could keep going forever but you get the point. Contrary to what a lot of people believe (AI is coming for us, you need to raise venture to compete etc), the opportunity right now is endless. You don't need to quit your job. Finally, you can build a real startup on the side. It's starting season. If you've EVER thought about starting a something of your own, this is the moment to stop thinking about it. Seasons like this don't last forever. Start.
- Sep 29, 20263.9x their median
Muse vs Dots vs Grokbot Zuck vs Altman vs Musk. The battle of personal agents for the masses. Who do you think wins? https://t.co/wzGRQssjSn
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 952 interactions against 751K followers, an engagement rate of 0.132%. Measured over 32 original posts, its engagement rate beats 75% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 67K times each, and 1.42% of those impressions turn into an interaction. That is about 8.95% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 19:00 UTC, and Tuesday is the busiest day of the week. Of the 32 posts sampled, 50% carry an image or video, 9% are part of a thread and 34% link out. The account's strongest tracked post pulled 10K interactions, about 11x its own typical post.
- What is GREG ISENBERG's engagement rate on X?
- GREG ISENBERG (@gregisenberg) has an engagement rate of 0.132%, based on the median interactions across 32 original posts from the last 30 days against 750,875 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.132%, GREG ISENBERG sits above the 25th percentile of the 204,583 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 @gregisenberg have real engagement?
- Its engagement rate beats 75% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top 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 @gregisenberg post?
- Most posts go out around 19:00 UTC, and Tuesday is its busiest day, at roughly 1.47 posts per day across the measured window.