New Video: Train AI Agents on High-Volume Twitter Data
• Scrape tweets (no API keys)
• Train an @elizaOS agent on an individual account's history
• Merge styles from your favorite KOL's (I used @dabit3 + @alfaketchum)
• Fine-tune a model with the data using @togethercompute
If you’re in marketing, you’re cooked
@heysealai just built me a full GTM strategy in seconds from a few simple questions:
channels, content, budget, positioning, next steps
Best part: it uses x402 + USDC, so instead of subscriptions for Exa, Parallel, Claude, etc, you just pay per use
No API secrets
This is what agentic software should feel like
Huge thanks to @echulshin for letting me write this skill and @MooliusC for letting me test it on his peptide coffee business
This is the future of portfolio management. I taught @heysealai to monitor my stocks & crypto 24/7.
My agent generates an overview of my portfolio and compares my performance against the S&P 500.
I'll drop the exact stack I used to build this below so you can copy it.
User-Generated Markets are LIVE on Limitless
We’re fundamentally reshaping how users interact with prediction markets:
1. Pick an asset
2. Choose an outcome
3. Launch a market
Every creator earns a fee share from its trading activity
Create yours → https://t.co/qYwZiXHCcD
My very first product.
Proud to announce I am the Co-Founder and CMO of Hunch.
Months of work has been put into creating the best possible trading experience for prediction markets.
I am so proud of my team and what we have built.
Built by traders, for traders.
$LMTS Season 3 Airdrop Claim is LIVE
Season 3 was our biggest one ever, and it’s getting our biggest airdrop ever
To match a record-breaking season, we’ve allocated 3% of the total $LMTS supply to reward our traders
Claim here → https://t.co/iA1jixNx4J
First OpenClaw. Now Hermes 😭
Hermes agent (open source, months old):
- reviews past conversations
- builds skills from experience
- persistent cross-session memory
- gets smarter the longer it runs
Claude "dreaming" (shipped today):
- reviews past sessions
- extracts patterns
- persistent memory
- gets smarter over time
next on the watchlist: whatever Hermes or Openclaw ships in Q3.
Spring 2026 prediction market research digest
(incl. Oxford, Imperial College London & Daedalus Research)
tl;dr: Prediction market making is maturing fast. AI agents are becoming the new MMs, spreads are tightening, and depth is up ~30%.
🔹 Calibrated Agents as Market Makers (Shah, SSRN)
https://t.co/uIUgPvXaTl
AI works on long-tail events - but only if calibrated. Raw accuracy gets crushed by adverse selection.
🔹Bootstrapping Liquidity in BTC Prediction Markets (Shabashev, arXiv)
https://t.co/A4kTcJhq63
Cross-market making beats AMMs & DeFi redirection. Risk stays with pros, no impermanent loss for users.
🔹 Institutional Liquidity in Prediction Markets (Dalen / Daedalus, arXiv)
https://t.co/nffOpMdseW
Spreads tighten, depth +30%, but retail can lose in shock states.
🔹PredictionMarketBench (Arora & Malpani, arXiv)
https://t.co/Xg25X1GR4C
SWE-bench-style framework for backtesting LLM/algo agents on real Polymarket/Kalshi data.
🔹 (Tsang & Yang, arXiv)
https://t.co/Pu0qvozK2P
2024 election data: agents that adapt fast to shocks win.
Capital markets in Hong Kong are experiencing a boom driven by AI
A strong network effect is forming. Over 85% of the AI companies in China that went public this year listed in Hong Kong
OpenClaw and Hermes agent are INCREDIBLE together
It's not about using one or the other. It's about learning how to use them as an AI agent team
In this video I go over the strengths and weaknesses of each, plus show you 4 workflows that will skyrocket your productivity:
Episode 1: Building a trading bot
Apparently everyone is building Polymarket bots and making millions.
(Spoiler: they aren't - it's bait)
Since Polymarket is overcrowded, I decided to build on Limitless.
Let's see what we can do:
Limitless have has a starter repo with 3 strategies:
→ Oracle arb using Pyth price feeds
→ Signal sniper with CoinGecko spot data
→ Cross market arb when YES + NO < $1
The direction I'm going: Oracle Arbitrage.
The signal is objective. The edge is quantifiable. When Pyth says BTC closes above $100K and the Limitless market is pricing 60%, there's a real number to work with.
First thing I noticed: prediction markets tend to overshoot.
Everyone guesses the same direction.
That's our edge.
There's a lot of opportunity in those momentum based bets.
Not planning to get rich in a few bets but consistent wins over time.
Let's see how this goes.
Planning to have the bot live by next week on @trylimitless 👀