When it comes to tokenomics, you’ve got 3 options: 1️⃣ Hire an expert — great, but not always affordable. 2️⃣ Copy someone’s file — looks easy, but backfires fast. 3️⃣ Do it yourself — best for a tight budget, if you’ve got structure. That’s the challenge, isn’t it? You’ve got the

Credit cards show the roadmap stablecoins are about to follow They didn’t scale by luck. They mastered it through 3 phases of competition: 1/ Distribution Early credit card networks competed on one thing: Where can this card be used? Utility = acceptance. So networks raced to

Web3 rewards speed. But it only remembers the ones who last. Speed is the cost of entry — but it means nothing if your project crumbles at the first real stress test.

Early on, startups win by doing everything fast. But speed alone doesn't scale. As you grow, you stop being a startup — and start building an organization. That means choosing where to move fast and where to slow things down. Uniswap understood this. They split their company

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Hiring faster ≠ scaling. 50% of teams get bigger without getting better. When your team is small, speed carries everything. Decisions run through 1–2 people. Priorities shift instantly. Everyone holds the full context in their head. But as you grow? • Task streams fragment •

The “stablecoin wars” are here — and most founders still think it’s about payments But right now, the fight is over distribution: → Ramps → Listings → Wallets → Liquidity → Merchant access Important — but not decisive. Because once distribution consolidates, the real game

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Confess. Already shipped that AI feature no one asked for?

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Bad founders argue with the market. Good founders listen to it. Great founders shape it.

Most startups don’t die from lack of ideas. They die from drowning in them. Shiny-object syndrome isn’t curiosity — it’s self-sabotage. Pick a direction. Go all in. Execute relentlessly.

11/ What to watch next → Will DeFi adopt its AI feeds? → How fast will new “topics” (AI domains) be adopted? → Will usage grow fast enough to offset emissions? → Can the team activate builders with grants? Strong architecture — now it needs traction.

10/ Vesting structure This is what responsible token design looks like: → Team & investors: 1y cliff → 33% unlock → 2y linear → Ecosystem & Partnerships: 50% at TGE, 50% over 2y → First big unlock hits in Nov 2026 Float grows slowly — aligned with long-term goals.

9/ Allocations • Early Backers — 31.05% • Core Contributors — 17.5% • Network Emissions — 21.45% • Community — 9.3% • Ecosystem & Partnerships — 8.85% • Foundation — 9.35% • Staking (Allora Prime) — 2.5%

8/ Tokenomics • Max supply: 1B $ALLO • Circulating at TGE: 20.05% • Emissions: capped + gradual • Rewards tied to usage — not just inflation • Fee-first model: protocol spends user fees before minting new $ALLO Clean structure. Well-paced.

7/ Initial market reaction • Trading started volatile across CEXs • Price spiked to ~$1.70 • Retraced sharply within hours • Circulating supply at TGE: ~200M $ALLO Low float + hype + multi-exchange launch = classic day-one chaos.

6/ Launch recap • Mainnet + TGE: Nov 11 • Airdrop: 5% to early users • Allora Prime: staking portal opened same day • Listings: Binance, OKX, KuCoin, MEXC, Bitget Broad day-one access + strong infra narrative = immediate attention.

5/ Allora’s AI is already live in production: → Alibaba Cloud co-launched an S&P 500 prediction topic → PancakeSwap integrated Allora models for prediction markets This isn’t a testnet story. $ALLO powers real apps.

4/ So what does the $ALLO token do? It powers Allora’s entire AI engine: → Pay for predictions → Stake for security → Earn for model accuracy → Govern the network Usage = demand. It’s a working token, not a placeholder.