io.net engagement report
@ionet - 434K followers on X
Measured over 32 original posts from a 30-day window, last computed on August 30, 2026.
Engagement
A typical post picks up 165 interactions against 434K followers, an engagement rate of 0.038%. Measured over 32 original posts, its engagement rate beats 52% of 3,774 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 14K times each, and 1.17% of those impressions turn into an interaction. That is about 3.26% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 09:00 UTC, and Monday is the busiest day of the week. Of the 32 posts sampled, 66% carry an image or video, 38% are part of a thread and 78% link out. The account's strongest tracked post pulled 914 interactions, about 5.5x its own typical post.
Measured over 32 original posts from a 30-day window, last computed on August 30, 2026.
Compared with accounts its own size
io.net's engagement rate beats 52% of the tracked X accounts closest to it in follower count (3,774 accounts, accounts of similar size (decile 7 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 55% 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 0.038%, io.net sits above the 25th percentile of the 36,654 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.433% |
| 90th percentile | 2.10% |
| 99th percentile | 160.5% |
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 09:00 UTC, and Monday 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% | 51K |
| 01:00 UTC | -2% | 52K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 53K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 52K |
| 08:00 UTC | -4% | 61K |
| 09:00 UTC | -3% | 70K |
| 10:00 UTC | -2% | 72K |
| 11:00 UTC | -3% | 78K |
| 12:00 UTC | -2% | 86K |
| 13:00 UTC | -2% | 94K |
| 14:00 UTC | -4% | 97K |
| 15:00 UTC | -2% | 101K |
| 16:00 UTC | -3% | 98K |
| 17:00 UTC | -2% | 91K |
| 18:00 UTC | -1% | 85K |
| 19:00 UTC | -1% | 80K |
| 20:00 UTC | -1% | 74K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -1% | 57K |
| 23:00 UTC | -2% | 52K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 231K |
| Monday | 0% | 288K |
| Tuesday | -2% | 278K |
| Wednesday | -1% | 251K |
| Thursday | -1% | 245K |
| Friday | -3% | 253K |
| Saturday | +3% | 227K |
Best tweets
- Jun 11, 20265.5x their median
The future of AI compute doesn't run on hype. It runs on real utility, real burns, and a network that gets stronger every time it's used. The Incentive Dynamic Engine (IDE) is now live! https://t.co/ggOg5dBdZw https://t.co/Ylmj9jH0d0
- Aug 24, 20261.6x their median
27 million dollars paid out. Not raised or projected. Paid. That's real money flowing to real GPU providers, for real compute delivered on https://t.co/WLXlHkv6f1. This is what the future of AI compute looks like. https://t.co/tcCnNRP29P
- Aug 6, 2026
Google Cloud Platform H100: $11.06/hr. https://t.co/ZuybGWvjv9 H100: $1.49–2.20/hr. 87% extra for a logo, not performance. Same NVIDIA silicon. Same CUDA stack. Same PyTorch. The difference is a quota form, a 3-7 day wait, and a hyperscaler margin. We skipped all three. Deploy in <2 minutes. No queue.
- Aug 19, 2026
Your GPU bill says $10,000. Your actual cost: $25,000–$65,000. Here's the math most teams aren't doing. A 72-hour H100 wait shows up as $0 on the invoice. No GPU-hours, nothing billed. Looks free. But your ML team just burned $5,400+ in salary sitting idle. Your fine-tune slipped 3 days. Your investor demo got pushed. Your competitor ran 30% more experiments this quarter because their compute didn't queue. None of this is on the invoice. But all of it hits the business. It's time to stop asking "what's the per-GPU rate" and start focusing on "what unavailability costs." https://t.co/vHGRjPGELl
- Jul 24, 2026
Training a 7B model on 1 trillion tokens takes ~300,000 H100 GPU-hours. AWS: $3.4M https://t.co/ZuybGWvjv9: $447K The same compute. The same model. But a $3M difference. Fine-tuning tells the same story: AWS (8-GPU minimum): $2,753 https://t.co/ZuybGWvjv9 (pay for what you use): $42 This isn't a discount. This is what AI compute looks like when you put builders and not corporate profits at the center.
- Aug 11, 2026
Fine-tuning GPT-4o via API: ~$640 for a 50K-example run. Fine-tuning Llama 3.1 70B on https://t.co/ZuybGWvjv9: ~$26. Same task, but with full weight ownership, no API dependency, and 25x cheaper. Most teams don't need a frontier API. They need the right open-source model on the right GPU. https://t.co/YTFW7ReUbH
- Aug 18, 2026
We were just named one of the Top 5 Decentralized AI Compute Networks to Watch in 2026 by @cryptodailyuk. Here's the scale behind that. Thousands of GPUs across 130+ countries, 32M compute hours delivered, and nearly $27M in total network earnings. The future of AI compute is being built on @ionet. https://t.co/WrOgocIUMQ
- Jul 31, 2026
AWS pioneered the cloud. Then it built the tax. H100s at $6.88/hr. 3-6 month waitlists, if you can even get quota approval. And egress fees that punish you for moving your own data. @ionet changes the equation. H100s from $2.10/hr. No waitlist. And the first 1TB egress free. Same workload. Different economics. https://t.co/hEy47xdOfQ
- Aug 29, 2026
Some things do exactly what they say. Render Network is great at what it was built for: rendering. But AI workloads ask for something else. Persistent inference. Multi-node training. Clusters that scale in seconds. That’s orchestration, not just GPU access. And that's what https://t.co/ZuybGWvjv9 was built for that from day one. https://t.co/YQC5wpjIu3
- Aug 22, 2026
AI needs more than models. It needs compute, storage, connectivity, and data. And all of that is being coordinated on @solana. Helium → connectivity Hivemapper → data Shadow Drive → storage https://t.co/ZuybGWvjv9 → GPU compute This is what a full DePIN stack looks like. Not another cloud. An open infrastructure layer for AI, globally distributed. https://t.co/PotB1S3x3C
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.
Buy or sell X accounts - escrow-protected
PlayerSells is an escrow marketplace for X accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 165 interactions against 434K followers, an engagement rate of 0.038%. Measured over 32 original posts, its engagement rate beats 52% of 3,774 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 14K times each, and 1.17% of those impressions turn into an interaction. That is about 3.26% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 09:00 UTC, and Monday is the busiest day of the week. Of the 32 posts sampled, 66% carry an image or video, 38% are part of a thread and 78% link out. The account's strongest tracked post pulled 914 interactions, about 5.5x its own typical post.
- What is io.net's engagement rate on X?
- io.net (@ionet) has an engagement rate of 0.038%, based on the median interactions across 32 original posts from the last 30 days against 433,662 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.038%, io.net sits above the 25th percentile of the 36,654 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 @ionet have real engagement?
- Its engagement rate beats 52% of the tracked X accounts closest to it in follower count (3,774 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 @ionet post?
- Most posts go out around 09:00 UTC, and Monday is its busiest day, at roughly 1.67 posts per day across the measured window.