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Hex
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TaglineModern data notebook with Magic AI assistant.AI search done right. Cited answers, not chat theater.The fastest AI inference in the world. Crazy low latency.AI research assistant for academic literature.
CategoryDataResearchDev PlatformResearch
PricingFree + $28+/user/moFree + $20/mo ProFree tier + pay-as-you-go APIFree + $12-$42/mo
Best forData teams at startups + enterprises.Replacing Google for any question where you want a cited answer in seconds.Developers who need sub-100ms LLM responses.Grad students, researchers, anyone doing literature reviews.
Strengths
  • SQL + Python + no-code in one notebook
  • Magic AI writes queries + viz for you
  • Team-grade collaboration
  • Sources every claim
  • Fast, current answers
  • Pro Search runs multi-step research
  • Spaces for persistent context
  • 500+ tokens/sec on Llama/Mixtral — feels instant
  • Custom LPU hardware
  • Great free tier
  • Searches 125M+ papers
  • Extracts + synthesizes findings across papers
  • Systematic review workflow
Weaknesses
  • Overkill for casual users
  • Enterprise pricing
  • Not a general chatbot
  • Answers can be shallow on complex topics
  • Open-weight models only (no Claude/GPT)
  • Less flexibility on custom configs
  • Academic-only
  • Can hallucinate citations — verify everything
Kai's verdictA-tier for data teams. S-tier if you already live in SQL + Python.S-tier for search. I use it before Google now. If you're still Googling everything, try this for a week.S-tier for speed. When latency is the product, start here.S-tier for academic research. Nothing else comes close for systematic reviews.
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