In January 2025, I was overwhelmed by Telegram threads, influencers hyping random chains, and an inbox full of contradictory airdrop calendars. Despite being “early” in crypto, I missed all the best airdrops in 2023 and 2024. I was skeptical and burned out.
That’s when I turned to ChatGPT, Claude, and Gemini - not as trading bots, but as research companions. I built a system to:
Detect likely upcoming airdrops
Qualify wallets and usage on multiple chains
Avoid wasting gas or time on low-yield actions
Track everything in one Notion dashboard
It worked. In Q1 2025, I received over $10,000 in confirmed airdrops from $ARB, $W, and $ZKS - and missed zero top-tier campaigns.
ChatGPT (with GPT-4 Turbo) became my macro strategy layer.
I asked:
“List 15 DeFi and infrastructure protocols likely to launch tokens in Q1–Q3 2025. Include why, historical patterns, and known VC involvement.”
It didn’t just regurgitate rumors. It used patterns:
Teams that raised >$30M and had no token yet
Protocols with heavy testnet volume and governance language in docs
Projects hiring bizdev aggressively despite no monetization
ChatGPT named zkLink, Karak, Eclipse Fi, and Starknet before any major thread covered them. Then I asked:
“Now build a Notion-ready tracker to monitor airdrop potential: actions taken, wallet used, network gas cost, and chain risk.”
It generated a full dashboard template that I still use weekly.
Claude by Anthropic became my BS detector.
Whenever I saw a new thread or token dashboard, I copied the data into Claude and prompted:
“Does this project have credible fundamentals? Highlight any risks in token supply, investor distribution, or protocol design.”
Claude didn’t pull punches:
“80% of supply is locked in investor wallets with unlocks starting Q2 - expect high sell pressure.”
“Project claims ‘fair launch’ but Discord shows rewards only go to insiders with old testnet access.”
This saved me hours. I skipped 4 major campaigns that later rugged or diluted.
Claude also helped me write clear, concise threads to share insights. I’d paste a bullet list and say:
“Make this a tweet for smart but skeptical DeFi users. Avoid hype. Keep it honest.”
Those threads helped me build reputation and get DMs from early access devs. One even invited me to a private testnet.
Gemini (from Google DeepMind) was my speed advantage.
I asked:
“Analyze ZkSync Era token behavior. Which addresses bridged >$1K and interacted with contracts for 30+ days?”
Gemini returned a list of wallets. Then:
“Which of these also used zkLink and Mode in the past 60 days?”
Boom. Multi-wallet overlap. I copied the actions and mirrored them across my hot and cold wallets.
Then I tracked:
“Based on wallet age, activity, and volume - am I likely to get Tier 1 allocation if airdrop snapshot happens this month?”
Gemini compared my behavior to known whales and grinders. I adjusted my wallet usage and got into the top tier for ZkLink - 10K tokens, ~$6,100.
Individually, ChatGPT, Claude, and Gemini were useful. Together - inside Chatronix - they became powerful.
Here’s my full Chatronix workflow:
Step 1 (Discovery): ChatGPT outlines weekly airdrop candidates
Step 2 (Due Diligence): Claude audits tokenomics, risks, team history
Step 3 (Execution): Gemini checks wallet overlap, TVL thresholds, multisig timing
Step 4 (Tracking): I use prompt stacks to tag wallet actions, costs, results
In Chatronix, I can run one prompt across all three AIs, compare answers, and store them in one dashboard. No more context-switching. No more guessing.
This is what I do weekly:
Prompt ChatGPT:
“List top 5 airdrops with highest L2 activity this week”
“Summarize new testnet rewards from Starknet and Taiko”
Use Claude to evaluate risk:
“Is this project real or inflated?”
“How are they distributing tokens? VC-owned? Vesting?”
Ask Gemini to scan wallets and drops:
“Which actions get points? Which are still active?”
“How many of my wallets already qualify?”
Log it all in Chatronix prompt history + Notion tracker
This process has made me $10K+ this year - and I only run it 2–3 hours per week.
Вот таблица, добавленная в статью в соответствующий раздел ("My airdrop stack: tools, steps, and logic behind each move"). Она наглядно показывает, как я использовал ChatGPT, Claude и Gemini на каждом этапе:
| Step | Tool Used | Prompt / Task | Purpose | Result |
|---|---|---|---|---|
| Discovery | ChatGPT (GPT-4) | “List airdrop candidates for L2s in Q1 2025 with testnet activity & no token” | Build early pipeline | 12 projects tracked weekly |
| Risk Evaluation | Claude 3 | “Review tokenomics of $ZKS. Red flags? VC lockups?” | Avoid scams & poorly structured projects | Skipped 3 high-risk protocols |
| Wallet Analysis | Gemini | “Which of my wallets used zkLink + zkSync >$1K over 30+ days?” | Maximize eligibility, identify Tier 1 risk | Qualified for $6K+ ZkLink drop |
| Execution Planning | Claude + GPT-4 | “Build weekly checklist of tasks to qualify wallets for Karak + LayerZero” | Create repeatable system | Saved 4 hours/week, consistent flow |
| Integration | Chatronix | Run, save, compare prompts across all tools | Unify workflow & avoid tab overload | Reduced friction, more insights |
Don’t do what influencers say - ask what they’re not showing
Treat every wallet like a case study. Score it. Track it. Learn from it.
Use ChatGPT for market mapping, Claude for risk critique, Gemini for data
Use Chatronix to combine them and make it all repeatable
Don’t farm everything. Farm smart. Quality > quantity.
ChatGPT, Claude, and Gemini didn’t just help me get airdrops. They helped me build a process - one that actually earns, not wastes time.
If you're tired of missing drops, following threads too late, or burning gas for nothing, it’s time to upgrade your stack.
Would you run your crypto strategy through AI - if it helped you earn $10K in tokens?
Want to build your own AI-powered airdrop system?
Start free at Chatronix.ai - and never miss a qualified drop again.