Growth @Bitcast_Network & @stitch3_ai | NYC
Joined June 2024
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Thrilled to officially join the @Bitcast_network team!
At Bitcast, I’ll be diving into X integration workflows, miner onboarding, and analytics - helping scale the next generation of marketing that delivers real value across Bittensor.
Excited to build, collaborate, and accelerate alongside this incredible team 💪💪
Thank you @Tom_dot_b and @Will_Mizu for the amazing opportunity
Team Update 💪
We’re excited to welcome @Lazz_eth to the Bitcast team!
As the creator of @Shogun__base & @TensorPulseLabs, Lazz brings a wealth of expertise in building social media tools and engagement metrics - alongside a deep understanding of both $TAO and the wider crypto ecosystem.
He’ll initially focus on X integration workflows, miner onboarding, and reporting.
We’re building the next generation of marketing: one that scales beyond $TAO and delivers real value across every crypto ecosystem.
And Lazz will be helping us to accelerate. Onwards 🚀
Yorgos brings an exceptional level of knowledge to one of the most important areas of Bitcast
Excited to have him onboard, where he’ll help progress graph analysis on Bitcast 🤝
Please welcome Yorgos to Bitcast.
Yorgos recently joined us to help lead the next phase of our creator intelligence - bringing some serious technical firepower with him.
Ph.D. in Computer Science specialising in Graph ML.
His research has been published in prestigious international conferences associated with organisations such as IEEE, ACM and SIAM, including work recognised among the best papers at the SIAM International Conference on Data Mining.
More recently, his work on advanced multi-graph analysis was selected for presentation at Stanford, alongside graph research from teams at NVIDIA, Amazon and others working at the forefront of the field.
He has also worked at Los Alamos National Laboratory, one of the US’s major scientific research institutions.
So why does all of this matter for Bitcast?
Social networks are graphs!
Creators, audiences, conversations and communities form enormous interconnected networks.
Understanding those relationships allows us to go far beyond follower counts and basic engagement metrics.
Who actually influences who? How does information move between them? Who has real influence within a specific niche?
And ultimately: which creators are most likely to deliver results for a particular campaign?
Graph analysis has been a core part of Stitch3 from the beginning.
Yorgos is now helping us push it further, applying advanced Graph ML to build improved ways of identifying influence, understanding communities and matching brands with the creators most likely to reach the right audience.
We want to build the intelligence layer that makes creator marketing automated, scalable and more effective than ever before.
Yorgos is going to be one of the technical powerhouses driving that forward.
Welcome, Yorgos.
Lazz.eth retweeted
Please welcome Yorgos to Bitcast.
Yorgos recently joined us to help lead the next phase of our creator intelligence - bringing some serious technical firepower with him.
Ph.D. in Computer Science specialising in Graph ML.
His research has been published in prestigious international conferences associated with organisations such as IEEE, ACM and SIAM, including work recognised among the best papers at the SIAM International Conference on Data Mining.
More recently, his work on advanced multi-graph analysis was selected for presentation at Stanford, alongside graph research from teams at NVIDIA, Amazon and others working at the forefront of the field.
He has also worked at Los Alamos National Laboratory, one of the US’s major scientific research institutions.
So why does all of this matter for Bitcast?
Social networks are graphs!
Creators, audiences, conversations and communities form enormous interconnected networks.
Understanding those relationships allows us to go far beyond follower counts and basic engagement metrics.
Who actually influences who? How does information move between them? Who has real influence within a specific niche?
And ultimately: which creators are most likely to deliver results for a particular campaign?
Graph analysis has been a core part of Stitch3 from the beginning.
Yorgos is now helping us push it further, applying advanced Graph ML to build improved ways of identifying influence, understanding communities and matching brands with the creators most likely to reach the right audience.
We want to build the intelligence layer that makes creator marketing automated, scalable and more effective than ever before.
Yorgos is going to be one of the technical powerhouses driving that forward.
Welcome, Yorgos.
Lazz.eth retweeted
The opportunity ahead of us is undeniably huge.
If we continue to execute on the level we have for the last 18 months, the numbers we will hit over the next year will be huge
attention is one of the most valuable assets on the internet.
every company wants it. every brand competes for it. yet delivering measurable attention is still a challenge.
that's why bitcast is interesting.
even in a bear market, they're building around a real business need.
and there's another thing worth paying attention to: the money they generate ultimately flows back into buybacks. that's a strong signal of dedication to the protocol and its long term value.
team is cooking hard, and i think many people are underestimating what they're working on.
right now, it's early and uncertain.
that's the point.
but the best time to study an opportunity isn't after the market has figured it out.
it's before.
$TAO #SN93
Lazz.eth retweeted
Creator marketing breaks down when it scales.
Working with 5 creators manually is already a fairly chunky task. Finding the right creators, outreach, negotiating, chasing content, measuring performance and payments takes a lot of time.
Do that with 50 creators and it’s basically out of the question without a team.
You can use an agency - but they do the same manual work. You’re paying for the admin required - relying heavily on their judgement on who you should work with.
There are already platforms that automate parts of the process out there. But automation on its own without the correct intelligence directing it just results in you making bad decisions faster.
Bitcast is different.
End to end automation combined with market-leading creator intelligence.
The end goal isn’t another creator marketing platform. It’s the infrastructure that creator marketing platforms can be built on.
A protocol for effective creator marketing at scale.
Sweet new opportunity for Prediction Market creators on Stitch3!
Make sure to check it out 👇
This quoted post is unavailable.
Lazz.eth retweeted
The Perturb Video Contest is live on Stitch3.
@Perturbaix finds weaknesses in AI models before they reach the real world.
Explain how it works in a video of 90 seconds or less.
7 TAO in total prizes:
1st: 4 TAO
2nd: 2 TAO
3rd: 1 TAO
Paid in SN26 alpha. Runs October 12 - 23.
Open to the top 350 Bittensor voices.
Lazz.eth retweeted
New customers are great.
Returning customers are even better.
Over 60% of Bitcast revenue is from returning customers.
A strong signal that our services are delivering real value.
Lazz.eth retweeted
PARTNERSHIP ANNOUNCEMENT
Ditto x @Bitcast_network: the Ditto Stitch3 Creator Campaign is live now!
Bitcast creators are posting about Ditto V2. If one of their posts makes you curious, try Ditto free at heyditto.ai.
ALT Partnership announcement: Ditto x Bitcast. Ditto Stitch3 Creator Campaign live now. Two white 3D tiles show the Ditto and Bitcast logos.
🏎️
Bitcast as a subnet now has 4 different platforms using bittensor infrastructure.
The plan? Continue to scale our in-house offerings while incentivizing others to come and build on top of us as well
Creator application #4 is live 🏎️
Subnet Summer just launched a Bittensor education layer built on @Bitcast_network.
Fast forward one year from now and there could be 30+ creator applications using SN93 to power their businesses.
Understand more 👇
Align the incentives, achieve desirable outcomes
Check out the numbers from@stitch3_ai last month👇
Lazz.eth retweeted
At the booths, on stage and in conversation. More moments with the teams who supported Exploit Summit.
$177,883 in Q3 revenue.
Our biggest and most profitable quarter yet.
We bought back $123K of SN93 throughout the quarter, and another ~$78K is still due to be purchased 📈
@Bitcast_network
.@ExploitSummit was awesome 🙌
So glad I had the opportunity to meet the people behind Bittensor and connect with so many members of the ecosystem.
I’ve never been more bullish on bittensor:native
Learned a lot these past few days, but one of my biggest takeaways is that @green_compute_ is a monster subnet
7M in compute hardware being deployed and an estimated $300,000 in monthly revenue.
Couldn’t be more bullish. Hats off to Josh and the team 🐄 💻
Huge announcement from @green_compute_:
Over $7m of new compute hardware deployed in their datacentres generating $300k of revenues per month 🤯
Great job Josh and team
Lazz.eth retweeted
Subnet Summer is the second application built by an external team using the Bitcast subnet to power their creator ambitions.
Great to see more teams building on top of the network.
Welcome 🤝
Summer School is open.
If you already explain Bittensor in public, this is how that work starts paying.
Not a generic creator farm. An education layer on @Bitcast_network, run by the Town Square.
Registration below.
Gamma tokens shook up the bittensor ecosystem yesterday
Interesting concept for many subnets offering valuable services to other network participants
This is a must-attend
@ExploitSummit
AGENDA UPDATE: we'll now be running a fireside chat 'OpenDev - Gamma Deep Dive' with @const_reborn and @KeithSingery at 2:30pm to unpack yesterday's gamma reveal
Lazz.eth retweeted
What a day. Good vibes, real people. Everyone is smart AF.
Notably, all the newcomers I met were really enthusiastic and smart too. Bittensor is on the right path.
@ExploitSummit
