A monthly digest of the sharpest insights I dropped in July 2025.
Each one: TL;DR + Who it’s for + Sources↓
[ Research series ]
1.
TL;DR: @coingecko’s 2025 report shows how Real World Assets evolved from a niche experiment to a $230B market spanning stablecoins, treasuries, commodities, and private credit.
For who: Those tracking the rise of fundamentals over froth.
Data sources: @coingecko
2.
TL;DR: A curated list of high-conviction AI protocols
For who: Anyone betting that AI x Crypto isn’t a gimmick, but a new coordination layer.
Data sources: CT+ token design docs.
My AI Watchlist ↓
1. Agentic Economies:
• @SentientAGI : Live strategy agents are just the start; they’re building Loyal AI, community-owned models with real stakes and no corporate leash.
• @TheoriqAI : It’s one of the few protocols tackling agent coordination as a first-class problem, not an afterthought.
• @Infinit_Labs : AI agents that turn DeFi noise into personalized strategies and execute them too, straight from your wallet.
2. AI Infra & Intelligence Protocols:
• @bittensor_ : It’s a working proof that decentralized intelligence markets can self-incentivize useful AI.
• @SaharaLabsAI : It structures the invisible layer where data, labor, and attribution converge the real bottleneck in AI pipelines.
• @Fetch_ai : Years ahead of the curve, and now part of the largest open agent ecosystem via ASI.
3. Consumer AI x Web3 Layer:
• @myshell_ai : One of the first projects to tokenize AI personality creation and attention where creators and agents both earn.
• @griffaindotcom : Buying, minting, and exploring tokens feel like second nature. If it delivers, it will make onchain actions feel effortless through embedded assistants.
• @virtuals_io : Bringing AI agents into virtual worlds as NPCs or co-users is an untapped frontier with massive cultural pull.
4. Coordination + Data Middleware:
• @Spectral_Labs : Modular infra for agents that trade, govern, and coordinate onchain autonomy with reputation baked in.
• @OpenledgerHQ : The AI blockchain unlocking liquidity for data, models, and agents purpose-built for attribution, monetization, and scale.
• @Rivalz_AI : Modular data and execution infra for agent networks built to connect swarms, oracles, and onchain intelligence.
If even a handful of them get it right, we won’t be logging into apps to use AI, we’ll be spawning agents that use apps on our behalf.
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