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teej dv 🔭 engagement report

@teej_dv - 89K followers on X

Measured over 32 original posts from a 30-day window, last computed on August 29, 2026.

Engagement

Middle of its size range
Per follower
0.133%
of 89K followers
Per impression
1.07%
11K views on a typical post
Reach
12.5%
of its followers see a post
Typical post
118
interactions (median)
Saved
0.027%
3 bookmarks on a typical post
Posting rate
2/day
active 63% of days
Peak time
13:00 UTC
Friday

A typical post picks up 118 interactions against 89K followers, an engagement rate of 0.133%. Measured over 32 original posts, its engagement rate beats 57% of 3,899 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 11K times each, and 1.07% of those impressions turn into an interaction. That is about 12.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 13:00 UTC, and Friday 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 13% link out. The account's strongest tracked post pulled 20K interactions, about 172x its own typical post.

Measured over 32 original posts from a 30-day window, last computed on August 29, 2026.

Compared with accounts its own size

teej dv 🔭's engagement rate beats 57% of the tracked X accounts closest to it in follower count (3,899 accounts, accounts of similar size (decile 4 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 46% 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 0.133%, teej dv 🔭 sits above the 50th percentile of the 37,701 accounts in this comparison. That places it in the above the median band, which runs 0.081% to 0.439%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99156.3%
Engagement rate as a share of followers, across the 37,701 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 104,204 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile156.3%

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 13:00 UTC, and Friday 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 13:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%53K
01:00 UTC-2%53K
02:00 UTC-3%52K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%63K
09:00 UTC-3%72K
10:00 UTC-2%75K
11:00 UTC-3%81K
12:00 UTC-2%90K
13:00 UTC-2%98K
14:00 UTC-3%101K
15:00 UTC-2%105K
16:00 UTC-4%102K
17:00 UTC-3%95K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%69K
22:00 UTC-2%60K
23:00 UTC-2%53K
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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%238K
Monday0%302K
Tuesday-3%302K
Wednesday-1%257K
Thursday-2%250K
Friday-3%259K
Saturday+3%233K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 14, 2026172x their median

    ChatGPT posted this on Instagram 😭 https://t.co/PaVoJMDhEl

    19K5582731241.0M viewsView on X
  • Aug 19, 202674x their median

    Who's gonna tell vibe coders about... > Rate Limiting > Caching > Load Balancing > Reverse Proxies > API Gateways > CI/CD > Docker > Kubernetes > Service Discovery > Circuit Breakers > Timeouts > Retries > Exponential Backoff > Idempotency > Message Queues > Pub/Sub > Event-Driven Architecture > Distributed Transactions > Saga Pattern > Dead Letter Queues > Cron Jobs > WebSockets > Long Polling > Server-Sent Events > Database Indexing > Query Optimization > N+1 Queries > Connection Pooling > Read Replicas > Sharding > Partitioning > Replication > Leader Election > CAP Theorem > Eventual Consistency > Optimistic Locking > Pessimistic Locking > Distributed Locks > Race Conditions > Deadlocks > Memory Leaks > Garbage Collection > Thread Safety > Backpressure > Autoscaling > Horizontal Scaling > Vertical Scaling > CDN > Edge Caching > Cache Invalidation > Feature Flags > Blue-Green Deployments > Canary Releases > Rolling Deployments > Rollbacks > Health Checks > Liveness & Readiness Probes > Monitoring > Logging > Distributed Tracing > Metrics > Alerting > SLOs > SLIs > Error Budgets > Observability > Secrets Management > IAM > OAuth > JWT Rotation > TLS > Encryption at Rest > Encryption in Transit > WAF > DDoS Protection > CORS > CSRF > SQL Injection > XSS > SSRF > Database Migrations > Schema Versioning > Disaster Recovery > Backups > Failover > Multi-Region Deployments > Chaos Engineering > Cost Optimization > Cold Starts > Serverless Limits > Latency > Throughput > P99 Latency > Tail Latency > Network Partitions > Clock Skew > DNS > TCP vs UDP > HTTP/2 & HTTP/3 > gRPC > Webhooks > API Versioning > Semantic Versioning > Infrastructure as Code > Terraform > Helm Charts > Build Caching > Dependency Hell > Production Incidents > On-call > Postmortems ...until the app gets its first million users.

    6.8K685945238759K viewsView on X
  • Jul 30, 202652x their median

    Opus 5 remade Pokemon in perfect 3D the starter scene is v disturbing https://t.co/lg8TmzsI0M

    5.4K2333041831.7M viewsView on X
  • Aug 21, 202618x their median

    if S3 is so great, why haven't that made S4 yet?

    1.9K601743393K viewsView on X
  • Aug 28, 202617x their median

    I built a @cursor_ai client that runs inside World of Warcraft as an addon so I can keep an eye on my agents and prompt them when i need. https://t.co/WVlj5Vh0FS

    1.7K5414950250K viewsView on X
  • Jul 26, 20266.8x their median

    rofl added a terminal via libghostty to remarkable in one night. insane. ai actually just lets you do so much fun stuff https://t.co/Z6M3TrFzGq

    75612272224K viewsView on X
  • Aug 6, 20265.9x their median

    Hey @nikitabier if you're free at all, could you come on the @thestanduppod and talk about the challenges/successes/situations that were the most fun and exciting during your time at X from an engineering perspective? Thank you for your attention to this matter.

    6631325045K viewsView on X
  • Aug 7, 20264.2x their median

    how much do you think today's outage cost github? i'm trying to figure out in my head how many people are now actively looking for something else instead of github, but i have no idea how to make an educated guess

    439356045K viewsView on X
  • Aug 18, 20263.4x their median

    it's a good thing llm's were trained mostly on typescript and not C, otherwise we'd have to worry about them union-izing

    379719111K viewsView on X
  • Aug 21, 20263.2x their median

    Touching Grass, now available from your desk https://t.co/riqGGd4xRf

    344426019K 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 118 interactions against 89K followers, an engagement rate of 0.133%. Measured over 32 original posts, its engagement rate beats 57% of 3,899 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 11K times each, and 1.07% of those impressions turn into an interaction. That is about 12.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 13:00 UTC, and Friday 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 13% link out. The account's strongest tracked post pulled 20K interactions, about 172x its own typical post.

What is teej dv 🔭's engagement rate on X?
teej dv 🔭 (@teej_dv) has an engagement rate of 0.133%, based on the median interactions across 32 original posts from the last 30 days against 88,893 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.133%, teej dv 🔭 sits above the 50th percentile of the 37,701 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 @teej_dv have real engagement?
Its engagement rate beats 57% of the tracked X accounts closest to it in follower count (3,899 accounts), which puts it in the middle of its size range 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 @teej_dv post?
Most posts go out around 13:00 UTC, and Friday is its busiest day, at roughly 2 posts per day across the measured window.

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