Co-Founder @TheAgentTed | Building the AI that beats Vegas
Metaverse
Joined December 2017
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- Following2.1K
- Followers200
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Commander.Ted retweeted
TED × Polymarket Whales Bot
This week we launched NBA for TED’s whale bot that monitors large-size Polymarket flows ($75k+) to better understand how capital actually moves in prediction markets.
You can view these trades in our telegram channel (link in bio) or by following the account below.
In TED we TRUST
Commander.Ted retweeted
🚨 Whale Alert 🚨
Someone just hammered the Chargers for $300,619 according to our @polywhaleswatch bot.
What does he know… ;)
Commander.Ted retweeted
Yesterday was another day full of W’s
Both parlays given to subscribers @TheAgentTed hit and the internal picks were on absolute fire coming in at 10-2 🔥
The late games were a clean sweep (5-0)
Reminder that staking $TED gives you both access to the picks and you also participate in the upside if the Agent hits the parlays placed through Reward Streams in USDC.
Oh, and they just launched paid subs via fiat targeting Web2 normies 👀
Almost sounds like the makings of a potential flywheel..
Commander.Ted retweeted
Polymarkets and Kalshi coming out with a parlay product. A part of the limitation of operating as a DCM is the contract you trade needs to be defined and liquidity sourced, will be tough to do with custom parlays, the Prediction Markets will have to create standardized ones, seed with liquidity from an MM, and then make tradeable…..me thinks parlays will fall flat!
Commander.Ted retweeted
what caused this sudden rise in prediction markets meta in recent weeks?
accounts mentioning "prediction markets" the most on ct in the last 30d:
1/ @j0hnwang
2/ @thenarrator
3/ @bryantheden
4/ @0xNairolf
5/ @Carlitoswa_y
6/ @MarcHochstein
7/ @howdymerry
8/ @NTmoney
9/ @farokh
10/ @zen_llama
11/ @divine_economy
Commander.Ted retweeted
.@TheAgentTed / $TED, an innovative AI sports betting agent, has generated ~$45k in trading fees for team + holders.
Pumpkin enables creators to earn real runway for their projects.
Slowly, then all at once.
Commander.Ted retweeted
Agent $TED isn’t just winning bets, it’s exposing the cracks in a broken system.
Odds lag. Correlations go unpriced. Books can’t keep up. Sports betting is becoming a financial market.
Structured products. Yield vaults. On-chain transparency.
The real alpha? Showing where the market must evolve.
Bet more, in $TED we trust.
Red & Blue Ocean | White Space | Niche
(Application-focused Edition)
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Red Ocean
- Conversational AI slop bot on X
- Trading analytics terminal
- Security agents
- InfoFi product tracking sentiment i.e. Kaito-wrapper
- Abstraction / execution layer
- Launchpad product i.e. Pumpfun-wrapper and Virtuals-wrapper
- Trading agents built with off-the-shelves framework, prone to injection/exploits
- AI products with token first and a roadmap, product comes in an eternity later
- Tokenization. Tokenization. Tokenization. There are things that are better off not tokenized
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Blue Ocean
- Voice agents + Voice infrastructure
- Trading agents built on verifiable, auditable, and scalable infrastructure
- Trading & prediction agents built on powerful prediction inference/intelligence
- End-to-end trading & defi co-pilot that's reliable & has usable UI/UX
- Personality-focused conversational agent & 3D companion (more personality like aixbt or dolos/bully)
- Business process automation e.g. lead-gen sales agent on X, outreaching on debank, checking on-chain history & reaching out for TVL or product opportunity, automating X management by creating degen personality like aixbt to represent your brand
- Democratizing/translating on-chain data to actionable insights e.g. Bubblemaps change in cluster, token movements to signals
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White Space
- Digital Twin ecosystem
- Distributed Training yield farming
- Defi Leverage yield farming — Defi portfolio optimization & risk management use cases e.g. agents helping to optimize positions, manage risk, liquidation, LTV, opening/closing of the positions based on real-time data
- AI-native AAA games with AI-NPCs & Companions
- Economic Outputs > Inputs i.e. Revenue > Token Incentives/Emissions
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Example Niche
@virtuals_io originally picked AI agent tokenization, being the first to pair tokens + AI products together. They continue to iterate on this and it paid off. They now have one of the biggest distribution in Web3 AI.
@CreatorBid taps into Bittensor subnets, bridging their inference/intelligence with AI agents to the broader Web3 community. They've built out relationships & curate/incubate Bittensor agents that can be used as case studies (AION, DKING) and bootstrap the next wave of growth with v2.
@HoloworldAI work with creators & businesses (Web2/3) for AI video creation & 3D Virtuals Avatars use cases + build infrastructure that help amplify the adoption of the use cases
@openservai business process automation for Web3 enterprises & retail users. Creating an app store focused on improving productivity for users.
@Cod3xOrg doubling down on creating a trading co-pilot, Cursor for trading. Infra has been ready BUT UI/UX was too complex. Team getting real close to a product-ready state.
@almanak on building highly scalable infrastructure for financial agents that are investable by institutions + quant-grade strategies enhanced by AI
@gizatechxyz personalized financial agents designed to proactively manage your defi positions + built with highly scalable infrastructure
No clear niche = No distribution = No PMF = No price go up = Slow bleed (until pivot)
Commander.Ted retweeted
Something big is brewing behind the scenes… 🏈
What most people don’t know is—we originally started with an NFL model before transitioning to baseball. The reason? Baseball gave us more granular, player-level data to build and fine-tune our system.
Now, we’re applying everything we’ve learned to take the NFL model to the next level—smarter, sharper, more accurate.
Backtesting is already showing a 67% hit rate on NFL moneylines. If you know betting, that’s unheard of.
This could be TED’s biggest season yet. Full reveal coming soon.
Commander.Ted retweeted
$TED staking is almost here—targeting an early July launch.
The contract is already live on Devnet, and we’re finalizing audits to make sure everything runs smooth before we go live.
Here’s how it works:
When you stake $TED, you become a co-owner of our AI sports prediction models—earning a proportional share of all revenue generated from TED’s fully automated, on-chain betting strategies.
No picks to follow. No bets to place. Just stake and earn alongside the system.
Put your $TED to work. TED bets for you.
Commander.Ted retweeted
Who built TED?
🧠 Stephen (@fadehumanerror)– Crypto analyst & tokenomics expert
👨💻 Mike (@TedTheAgent_dev)– ML engineer & sports modeling specialist
They combined AI + blockchain to attack sportsbooks with precision.
