Great agent masterclass by @mogmachine@proofoftalk
On my first day at @zeussubnet. I sat down with Mog for 45 minutes. He spun up Poppy and had it tear through Zeus from an outsider’s perspective.
The report is now pinned above my desk. It laid out my job for me.
Want to know how much solar you’ll generate? 🌞
Zeus can do it. Energy traders are using this today estimate solar production.
Check out the benchmarks on https://t.co/VlQxquwlHh
bittensor:native
Our new website converts.
An energy company with more than usd$ 100 billion in revenue;
-> saw a post on linked-in,
-> went to our new website,
-> booked a call,
-> started a pilot.
Love it when after a long time things start to feel easier. smoother and better. both in bittensor and outside bittensor.
In 2 weeks we have a follow-up moment, define benchmarks that make them convert into a paying client.
$TAO
Everyone heading to @ProofofTalk:
I'm bringing this guy 👇
If you run into @RoryZeus at the Louvre, go have a chat. He’s surprisingly funny for an AI guy.
He’s joining Zeus as Head of Marketing and will share his learnings along the way. Give him a follow!
Bit of context: I studied AI alongside @wouterhar.
Since then I've built AI automation systems and delivered AI keynotes for organisations like Julius Baer, FrieslandCampina, Shimano, People's Postcode Lottery and L'Oréal.
Now I get to bring that experience to Zeus.
Try our API without a key on our website,
our main focus is energy traders, but you can build apps, polymarket predictions etc.
https://t.co/VlQxquwlHh
$TAO
Weather forecasting is a trillion-dollar data problem.
Yet, traditional APIs still rely on legacy physical models hitting structural accuracy ceilings.
With Zeus, we took a different approach. We built a machine-learning-first forecasting framework driven by a decentralized network of competitors. They don't cooperate; they compete globally to push error margins down to absolute zero.
The results of that iteration speed are now live on our new site.
On core metrics like surface temperature accuracy, the outperformance against traditional baselines is staggering.
The API is open. The raw benchmarks are fully transparent.
Test the live playground here:
https://t.co/jB6kwxpu52
LinkedIn for ZEUS is getting results.
We shared our benchmarks and here are the conversion rates;
• 22,859 Impressions generated 512 Profile Views (2.2%).
• 36 Clicks to our website (7%).
• 6 Calls Booked (16.6%).
• 1 Pilot spinning up right after the first call (100%)
Weather forecasting is a trillion-dollar data problem.
Yet, traditional APIs still rely on legacy physical models hitting structural accuracy ceilings.
With Zeus, we took a different approach. We built a machine-learning-first forecasting framework driven by a decentralized network of competitors. They don't cooperate; they compete globally to push error margins down to absolute zero.
The results of that iteration speed are now live on our new site.
On core metrics like surface temperature accuracy, the outperformance against traditional baselines is staggering.
The API is open. The raw benchmarks are fully transparent.
Test the live playground here:
https://t.co/jB6kwxpu52
Excited to be in Paris next week for @proofoftalk!
Zeus has officially reached State of the Art performance, delivering weather predictions **4.5 hours faster** than the industry standard.
We have some major developments on the horizon. Let’s talk about the future of energy trading!
DM me to connect at the Louvre.