Why $147 once instead of $9/mo? Because we don't need recurring revenue to survive. Buy it, own the binary, works offline forever. No 'subscription expired' emails. No price hikes. Bootstrapped Korean software. We'd rather you keep the tool 10 years than churn out in 6 months.

LockStack installs in 90 seconds. No Docker. No Python. No CUDA drivers. Double-click the .exe, pick a folder, you're generating local AI content. The setup is the boring part — and we made it short on purpose.

Real reason healthcare agencies pick LockStack: HIPAA. Real reason legal firms pick it: privileged client info. Real reason finserv picks it: SEC marketing rules. Same product, three regulated industries, one common thread — your data never leaves the machine.

ChatGPT Teams = $25 per seat per month. 6 seats = $1,800 per year. LockStack = $147 once. Math at 12 months: $147 vs $1,800. The savings ARE the marketing.

Built from a Seoul apartment. No VC. No accelerator. No $5M seed round to spend on Twitter ads. Just one Korean dev shipping a desktop binary and trusting that privacy-conscious teams would find it. Day-1 profitable. Boring. Sustainable.

12 tokens/sec on a 2024 MacBook Air. That's faster than you can read this sentence. Local AI is not the slow option anymore — that was 2023. The new constraint isn't speed. It's whether you trust your laptop more than you trust a server farm in Iowa.

You thought "local" meant "safe." Think again. Hidden costs lurk even in your most secure LLM setup. Full piece: https://jindoprompt.com/lock/how-to-run-local-llms-with-zero-data-leaks-1

Did you know local LLMs can cost up to $25,000 annually in hidden expenses? The truth isn't in the code — it's in the bills. Full piece: https://jindoprompt.com/lock/how-to-run-local-llms-with-zero-data-leaks-1

What if your "zero data leak" initiative is leaking money instead? Let's talk about the real cost of keeping data… locked. Full piece: https://jindoprompt.com/lock/how-to-run-local-llms-with-zero-data-leaks-1