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Side-by-side: what they do, what they cost, what Kai actually thinks. Pass up to 4 tools via ?tools=claude,chatgpt,gemini.
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Coding
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Productivity
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Reflect
A
NeuralSet
A
GitHub Copilot
B
Sudowrite
S
TaglineAI-powered networked notes. Roam with a brain.Meta FAIR's open-source Python library that finally bridges the gap between neuroimaging data (fMRI, EEG, spikes) and modern deep learning pipelines.Microsoft/GitHub's autocomplete. Deep VS Code + JetBrains integration.AI writing tool built specifically for fiction writers.
CategoryProductivityResearchCodingWriting
Pricing$10/moFree (MIT open source)Free (limited) + $10/mo Pro + $19/mo Business$19-$59/mo
Best forKnowledge workers + thinkers who want AI in their second brain.Computational neuroscience researchers who want to train deep learning models on brain recordings without building custom data pipelines from scratch.Teams with GitHub already. Devs who don't want to change IDEs.Novelists, screenwriters, fiction short-form writers.
Strengths
  • AI auto-links related notes
  • Generates backlinks + summaries
  • Clean, minimal UX
  • Unified interface across fMRI, MEG, EEG, iEEG, fNIRS, EMG, and spike trains — no more siloed modality-specific tools
  • Lazy, memory-efficient loading that scales to terabyte-scale OpenNeuro datasets without RAM blowout
  • Native HuggingFace integration for embedding stimuli (text, audio, video) using models like DINOv2, CLIP, Wav2Vec, and more
  • Pydantic-based config validation catches bad BIDS paths or filter settings at init, not after hours of wasted compute
  • Scales from local laptop prototyping to SLURM clusters without rewriting infrastructure code
  • Great enterprise story
  • Works in your existing IDE
  • Chat + autocomplete
  • Brainstorm, expand, rewrite modes designed for fiction
  • Story Bible for character + plot tracking
  • Understands voice + tone better than generic chatbots
Weaknesses
  • Expensive for just notes
  • Smaller community than Obsidian
  • Extremely niche audience — only useful to neuro-AI researchers with Python/PyTorch chops and access to neuroimaging datasets
  • No GUI or managed cloud environment; requires local setup and familiarity with BIDS data formats
  • Still a preprint-stage release with no arXiv paper yet — API stability and long-term maintenance are unproven
  • Less agentic than Cursor/Claude Code
  • Model quality varies
  • Pricey for casual use
  • Fiction-only focus — not for business writing
Kai's verdictA-tier. Niche but beloved. If you've outgrown Notion, try this.If you're doing neuro-AI research, this is the plumbing you've been manually building for years — finally done right by the team that actually runs these experiments at scale. Extremely narrow use case, but within that lane it looks genuinely best-in-class. (Verdict pending Phi's full review.)B-tier. Solid for autocomplete but the category moved past it. Pick Cursor unless you can't.S-tier for fiction. If you're writing a novel, this beats raw ChatGPT every time.
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