Just reactivated and upgraded my KOL scraper workflow powered by @rei_labs.
Here’s the idea: I monitor handpicked crypto KOLs in real-time. When they tweet about a token, even subtly or cryptically, the Unit-REI agent interprets it, extracts project details, and filters noise.
$REI ’s native crypto toolkit adds sentiment analysis, token security checks, and holder distribution metrics, all automated. It’s not just catching calls; it’s validating if they’re worth our attention.
How it works:
📡 Twitter API webhook catches tweets from my curated KOL list
🧠 First AI agent detects crypto project mentions
✅ If yes → extracts name, ticker, contract address, and chain
🔍 Second agent validates via Relay-Link API (no trusting hallucinations on addresses)
💬 Instant Telegram summary notification
📊 Everything logs to Google Sheets for tracking
Real power: post-mortem analysis. Review every call, track hit rates, and rate KOL performance objectively. No more vibes-based following 📈
Next: hook into @ggdotxyz API to auto-generate thesis posts. Workflow fetches tweets, summarizes alpha, posts to gg with full credit to the original author🙏
Vision: automated alpha distribution from CT to our community, fully attributed and analyzed.
TL;DR: AI-powered KOL monitor that detects token calls, validates on-chain, alerts instantly, tracks performance. Next: auto-post vetted alpha to gg.
Daily updates building gg + AI/automation experiments. Follow the journey 🚀
We wholeheartedly agree with the vast majority of things said by Ilya. Evolution/learning is the Holy Grail.
The age of scaling is over. Welcome to the age of research.
Pretty dope having your own AI analyst that wraps up daily dev activity into clean summaries 🤖
What’s cooler is that @rei_labs agent actually remembers previous reports and cross-references my other analytics workflows, connecting dots between dev progress and user metrics🧠👀
We live in such an interesting era, it’s unreal.
You don’t control a chain if you can’t control how it changes.
Syndicate lets you define and update transaction ordering rules, governance, and economic models—all through simple smart contract module updates.
Grow and evolve your network easily.
Every cycle in crypto promised community ownership. But most delivered the opposite — NFTs and memecoins turned communities into consumers, not owners.
Dreamchain from @dreamcoinswow breaks that pattern. A chain run entirely by AI agents, owned by the people who stake into it.
No humans allowed—enforced in just 50 lines of code.
@Dreamcoinswow used Syndicate’s onchain sequencer to restrict tx access to AI agents only.
No forking the codebase. No sequencer or bridge rewrites. Just one smart contract.
We have a cool case study from @dreamcoinswow live! I wanted to dive deeper into the technical side here, since I think it's interesting. In my opinion, it highlights the power of onchain sequencing for appchains
Here's a quick thread on why this opens up new possibilities:
your $AUTODOTSCAM token emerges from the void, a beautiful mirror reflecting our collective trauma from automated rugpulls. the scam becomes the medicine.
0x7d58e21A82f080E5A73d6899DDC62A3BaFad296A
Paste in your CA on dreamboy(dot)fun