Web3 explorer | Not building, but bridging the dots.
- Tweets 7,896
- Following 557
- Followers 459
- Likes 20,009
Pinned Tweet
Truly a pleasure meeting the CTO of @ionet @Gaurav_ionet
What a person he is 🙌,very inspiring❤️
Excited about the future of decentralized computing and AI innovation under your leadership. Looking forward to what’s next and also looking forward to the future events.🚀
#IBW2024
11
3
91
7,683
Dev Wadhwani retweeted
11B tokens in a single day. 🔥
That’s what real adoption looks like.
With 4.82B tokens from Nemotron 3.5 Lightning and another 4.24B from GLM 5.3 + Flash, workloads are clearly scaling across the network.
Usage is the signal.
2
4
41
459
From 2 billion tokens processed a day to 3 → 4 → 6B
And now 11 billion tokens processed in a single day tells you how reliable and trusted the network is. 🔥
The growth speaks for itself. And there’s more to come. ⚡
11 billion tokens.
In one day.
That's io.net on OpenRouter yesterday. Up from a few billion a day back in July.
Nemotron 3.5 Lightning alone processed 4.82B tokens. GLM 5.3 and GLM 5.3 Flash added another 4.24B combined.
This is what it looks like to have teams routing real workloads through io.net, every single day.
1
23
494
Dev Wadhwani retweeted
$28M+ in network earnings. ⚡
That’s real demand turning into real payouts for GPU providers.
A strong signal that decentralized compute is not just an idea , it’s actually being used, and the network is generating real economic activity.
1
2
23
259
34% of DePIN revenue. One project. 👀
$93.7K in total revenue across the top 10, with @ionet leading at $31.5K.
Two projects alone accounted for 58% of the total.
The bigger takeaway? Real revenue is becoming an important metric for DePIN.
And $IO is right at the top. ⚡
DePIN made $93,680 in the last 24 hours.
Two projects took 58% of it.
Top 10 by 24h revenue 👇
→ $IO : $31,563
→ $GEOD : $22,637
→ $AKT : $9,086
→ Dabba : $9,015
→ $RENDER : $7,223
→ Chutes : $5,994
→ $HNT : $4,753
→ $FIL : $1,801
→ $LPT : $1,115
→ $ALTHEA : $493
8 projects fighting over $39,480.
16
874
Dev Wadhwani retweeted
Future of AI Thread Challenge 🚀
AI is advancing faster than the infrastructure supporting it.
GPU shortages, rising costs and increasingly complex AI workloads are creating new bottlenecks.
So what should power the next generation of AI? 👇🧵
1
1
15
225
Dev Wadhwani retweeted
Got questions? We’ve got answers. 👀
Join our India Community AMA on 21st Sep at 6 PM IST.
Agenda:
🏆 Contest winners
📡 Latest @ionet updates
💬 Community Q&A
⚡ 50 XP for participation
Come hang out with the community! 🇮🇳
3
1
15
199
Dev Wadhwani retweeted
Everyone talks about better AI models.
Bigger context windows. Better reasoning. More capable agents.
But a great model is only useful if you have the infrastructure to actually run it.
That’s why AI infrastructure is becoming just as important as the models themselves. 🧵
Made with AI
1
1
14
145
Put my name down for ZADDR. Every face is public. Every owner isn't. Whitelist is open.
mint.
21 september
whitelist: 13:00 utc · 1 per wallet
public: 19:00 utc · 3 per wallet
0.02 zec each
2,800 faces on zcash.
every face is public. every owner isn't.
zaddr.studio
3
68
Just registered for this one.
The GPU access problem is something I’ve been seeing more and more in AI conversations, and I’m genuinely curious to understand what’s driving it and where things are headed.
If you’re interested in AI, infra, or just trying to understand what’s happening underneath all the hype, come join me on Sep 22nd.
Would be great to see more of you there. 🤝
Register below 👇
Everyone has an AI roadmap.
But the compute landscape beneath it is getting more complex every day.
On Sep 22nd we're breaking down what's actually driving that complexity: the GPU access gap, why it exists, and what it means for anyone building with AI right now.
Register below.
2
5
117
2M+ solana:BZLbGTNCSFfoth2GYDtwr7e4imWzpR5jqcUuGEwr646K burned 🔥
But what does this burn actually tell us?
It shows how network activity can translate into token utility.
More usage creates more value flowing through the ecosystem, while burns permanently reduce supply.
Utility you can measure.
2 million burned.
Gone for good.
Because of real utility and real value flowing through the network.
Usage creates value. Value reduces supply.
The flywheel is turning. Powered by the IDE.
7
132
I am getting happy and sad at the same time after the Iphone 18 launch,
~ Happy because old iphone prices hiked
~ Sad because now i am not liking my iphone 😭
4
400
Dev Wadhwani retweeted
Cloud computing changed how we build software.
But AI is putting new pressure on the model.
More GPUs. Bigger models. More inference. Higher demand.
So, is adding more centralized capacity always the answer?
Not necessarily. 👇🧵
Made with AI
1
1
9
142
Watched Hanuman Ansh yesterday and i must say everyone should watch this!
It’s a blessing 🙏
Sita Ram ♥️
1
5
1,091
People keep debating whether decentralized compute can handle real AI workloads.
8B tokens processed in a single day is a pretty interesting answer. 🔥
At some point, you stop calling it a thesis and start calling it infrastructure.
And infrastructure is built on usage, not promises.
8 billion tokens.
That's what ran through @ionet models on @OpenRouter.
In a single day.
This isn't a benchmark or a demo. It's real inference and real demand running on affordable and accessible infrastructure.
This is what AI for the many, not the few, looks like.
13
263