NoBull SaaS

What does DeepSeek do?

Tool: DeepSeek

The Tech: AI Reasoning Model

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Their Pitch

Into the unknown.

Our Take

It's ChatGPT that shows its work and costs 80% less. Think of it as the open-source cousin that actually explains why 2+2=4 instead of just spitting out the answer.

Deep Dive & Reality Check

Used For

  • +**Your AI keeps generating code that works locally but breaks in production** → DeepSeek explains each step so you catch the logic errors before deployment
  • +**You're paying $10 per million tokens for reasoning and your budget is screaming** → Same quality thinking for $1.68, plus you can self-host for even cheaper
  • +**Junior developers submit code without understanding why it works** → AI shows the thought process so they learn instead of copy-paste
  • +Handles 100,000-word documents in one go - no chunking or losing context halfway through
  • +Thinking mode for complex problems, fast mode for simple queries - switch based on what you need

Best For

  • >Your OpenAI bill hit $500 last month and your boss is asking questions
  • >Code reviews are taking forever because junior devs keep submitting buggy logic
  • >You need step-by-step math solutions, not just answers that could be hallucinated

Not For

  • -Teams wanting plug-and-play simplicity - this requires some technical setup if you want the good stuff
  • -Anyone needing image generation or voice features - it's text and code only
  • -Companies without developer resources - you'll want someone who can handle APIs and maybe GPU deployment

Pairs With

  • *OpenAI GPT (for when you need images or voice, since DeepSeek is text-only)
  • *GitHub Copilot (DeepSeek for complex logic, Copilot for quick autocomplete)
  • *DigitalOcean (easiest way to self-host with their 1-click GPU setup)
  • *PostgreSQL (to store the AI's reasoning chains if you're building something custom)
  • *Hugging Face (where you download the model weights for self-hosting)
  • *Slack (where your devs will share screenshots of the AI's step-by-step solutions)

The Catch

  • !The full model needs serious GPU power - most people end up using the smaller versions or paying for API access
  • !Still hallucinates like other AI models, just with more detailed explanations of why it's wrong
  • !The thinking mode is slower since it's literally showing you its work - great for accuracy, annoying for quick tasks

Bottom Line

Finally, an AI that thinks out loud and won't bankrupt your startup.