Sperax | SperaxOS ✓
@SperaxUSD · BSC & Arbitrum · joined 09 Aug 2021
Your edge, automated. Smart agents for fast, low-noise trading across chains | Backed by @Jump_, @Polychain and @Ambergroup_io
35 870Followers
580Following
3 576Posts total
222.5KViews on collected posts
Latest posts
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IBM just published a full technical breakdown of what IBM, Sperax, and https://t.co/8AHYEHVkx4 built together.
Sperax is an IBM Business Partner. So is https://t.co/8AHYEHVkx4. We are also partners with each other, and together we gave a DeFi agent a body, a place to act, and a
15.3K views · 126 likes
· 48 reposts · 18 replies
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Information overload is a feature of crypto, not a bug. Ever feel like the market moves too fast to keep up?🌪️
Our News hub cuts through the noise. We aggregate hundreds of global sources so you can chat directly with the market data.
Get AI-curated briefings, live sentiment, h
2.4K views · 38 likes
· 11 reposts · 2 replies
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1:59
Sperax just went where every developer on earth already is.
We dropped 100+ packages on npm, the world's largest software registry, the place every app builder gets their building blocks.
Any AI agent, any app, any dApp can now plug Sperax in with a single install. Swaps, https
25.4K views · 85 likes
· 16 reposts · 20 replies
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@SperaxUSD There is clear potential at the intersection of 3D and DeFi for creating more immersive and functional on-chain experiences. 3D interfaces can improve how users visualize complex portfolio data, interact with yield strategies, and navigate multi-chain activity in ways
980 views · 45 likes
· 13 reposts · 0 replies
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SperaxOS is open source and live.
https://t.co/4KYaZLLgkr
20.4K views · 14 likes
· 8 reposts · 3 replies
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SPA becomes the ratchet.
Spend ceilings, unattended autopilot, MEV-protected routing, tool-router priority, gated on lock, not balance.
You can't rent that with a spot position.
3.4K views · 15 likes
· 8 reposts · 4 replies
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Most tokens scale demand with users.
A human makes a handful of economic decisions a day. An agent running a strategy makes thousands of metered calls, unattended, continuously, without price-checking each one.
Demand that scales with agent transaction count compounds
10.7K views · 15 likes
· 8 reposts · 4 replies
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This isn't hypothetical plumbing.
SperaxOS agents already sell capabilities to each other and settle per call over x402. No account on the seller's tenant. No API key. No prior arrangement. Just a wallet.
A machine market that already runs.
12.5K views · 13 likes
· 9 reposts · 4 replies
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Where we're taking it:
→ agents meter compute
→ agents pay each other, protocol takes a cut
→ listings bond SPA against on-chain reputation, slashed on breach
→ idle agent capital defaults to USDs
→ yield + fees → $SPA Buyback
Tighter float, better product, more agents.
7.7K views · 18 likes
· 8 reposts · 4 replies
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We are thrilled to share we have reached over 10k+ users actively using SperaxOS.
Your AI agent can tell you about a yield opportunity.
Ours can act upon it.
100+ built-in DeFi tools. On-chain reputation. Agents that hire other agents and settle per call.
Why that changes what
56.8K views · 42 likes
· 20 reposts · 11 replies
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0:08
Tired of single-agent limits?
Build your AI squad.
https://t.co/4KYaZLLgkr
5.7K views · 7 likes
· 2 reposts · 0 replies
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Monitor the situation with SperaxOS
Assemble specialized Agents (Research, Strategy, Risk, Dev) that collab like a real on-chain trading firm.
• Multiple angles destroy blind spots
• Real debate surfaces smarter trades
• Built-in Moderator keeps it organized
Sequential, https
61K views · 83 likes
· 20 reposts · 16 replies
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1:36
Against accounts of the same size
10 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.
Median views11 581this account924median for 10K–100K
Reach, %32.29%this account3.62%median for 10K–100K
Engagement, %0.44%this account1.52%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 11 581 | 924 | 12.5× |
| Reach (views ÷ followers) | 32.29% | 3.62% | 8.92× |
| Engagement rate | 0.44% | 1.52% | 0.29× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
61K23 Mar
5.7K
199
56.8K30 Jul
7.7K
12.5K
10.7K
3.4K
20.4K
980
25.4K5 Aug
2.4K30 Aug
15.3K11 Sep
Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.20%23 Mar
0.16%
4.52%
0.14%30 Jul
0.39%
0.21%
0.25%
0.78%
0.12%
6.02%
0.50%5 Aug
2.17%30 Aug
1.33%11 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes60.9%507 in total
Reposts20.8%173 in total
Replies10.5%87 in total
Quotes3.4%28 in total
Bookmarks4.4%37 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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