Education hub

Problem: the market is 24/7. You sleep — the bot does not.
Why: from zero to a working bot on a server in 2–3 weeks.
What you get: Python + Binance Futures + AI pair-programming with Claude.

Problem: agents do what junior staff used to do. Cheaper, no sleep.
Why: 3 capstones — crypto-news auto-trader, freelance hunter, code assistant.
What you get: Claude/OpenAI API + tool-use + production deploy.

Problem: CEX bots are everywhere. The edge moved to DEX, MEV, airdrops.
Why: 3 capstones — DEX arb bot, airdrop farmer, MEV simulator.
What you get: Web3.py + multi-chain (ETH/BSC/Arb) + hands-on ABI.

Problem: attacks keep growing, defenders are scarce. Pentester pay $80–150k.
Why: 10 modules from Linux basics to AD attack chains. Goal — a junior pentester role.
What you get: Kali Linux + HackTheBox/TryHackMe + AI-pair pentesting. Legal use only.

Problem: MCP became a standard in months. Everyone builds — few understand how.
Why: 12 production-grade modules — auth/sec, integrations: GH/Linear/Stripe/DB.
What you get: Reference implementation + deployment patterns + Code Club ($49/mo).

Problem: 20+ hours a week on email, research, drafting. You want it off your plate.
Why: 6 modules — email triage, research, content pipelines, personal CRM.
What you get: RCTF framework + 100+ prompt library + automation glue.

Problem: most grid bots blow up in a trend. Plus exchange limits.
Why: 4 grid types — classic, dynamic, AI-rebalanced, hedged. Risk math.
What you get: Pionex/3Commas/custom Python + 3 backtest case studies.

Problem: high platform fees, and some payment rails are hard to connect.
Why: a map of 5 platforms + legal payment handling.
What you get: a turnkey store + taxes + real cases.

Problem: you have an idea, no time to learn, and no trust in random freelancers.
Why: we build it — 6-phase honest backtest, deployed on a server.
What you get: a deployable Python bot + 30 days of edge-decay monitoring.

Problem: Hyperliquid grew fast — but setup is messy, docs are scattered.
Why: you get a ready bot and focus on strategy, not infra.
What you get: Python kit + connector + deploy template + Builder Code fees.

Problem: a bot profits in trends, blows up in ranges. It does not know which it is in.
Why: a system detects trend/range/breakdown and adapts the logic.
What you get: Python regime classifier + adaptive routing + 3 case studies.

Problem: the bot runs on your laptop. Close the lid — it dies.
Why: deploy on a VPS, systemd auto-restart, monitoring, security.
What you get: deployment patterns + monitoring + 24/7 reliability.

Problem: the bot crashes — you find out 3 hours later. Money already lost.
Why: systemd watchdog, Telegram CRIT alerts, auto-restart, position guard.
What you get: a deployed agent + 30 days of tuning.