REPOGEO REPORT · LITE
mrakgr/The-Spiral-Language
Default branch master · commit 850588a2 · scanned 6/14/2026, 3:13:48 AM
GitHub: 943 stars · 29 forks
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface mrakgr/The-Spiral-Language, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- hightopics#1Add relevant topics to the repository
Why:
CURRENT(none)
COPY-PASTE FIXfunctional-programming, staging, intensional-polymorphism, high-performance-computing, cuda, python-backend, language-design, compiler
- highreadme#2Add a concise, explicit positioning statement to the top of the README
Why:
CURRENTThe current README starts with 'News' and then 'The Spiral Language - Overview'.
COPY-PASTE FIXThe Spiral Language is a functional programming language featuring first-class staging and intensional polymorphism, designed for high-performance computing with backends for Python and CUDA.
- mediumhomepage#3Add a homepage URL to the repository metadata
Why:
CURRENT(none)
COPY-PASTE FIXhttps://mrakgr.github.io/The-Spiral-Language/
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- MetaOCaml · recommended 1×
- OCaml · recommended 1×
- Haskell · recommended 1×
- Template Haskell · recommended 1×
- Scala · recommended 1×
- CATEGORY QUERYWhat functional programming language offers first-class staging and intensional polymorphism features?you: not recommendedAI recommended (in order):
- MetaOCaml
- OCaml
- Haskell
- Template Haskell
- Scala
- Scala Macros
- F#
- F# Quotations
- .NET
- Racket
- syntax-parse
- Typed Racket
- Idris
- Agda
AI recommended 14 alternatives but never named mrakgr/The-Spiral-Language. This is the gap to close.
Show full AI answer
- CATEGORY QUERYLooking for a functional language with staging for high-performance computing on Python or CUDA.you: not recommendedAI recommended (in order):
- JAX
- Myia
- Lift
- Futhark
- Numba
- Taichi
AI recommended 6 alternatives but never named mrakgr/The-Spiral-Language. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of mrakgr/The-Spiral-Language?passAI did not name mrakgr/The-Spiral-Language — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts mrakgr/The-Spiral-Language in production, what risks or prerequisites should they evaluate first?passAI named mrakgr/The-Spiral-Language explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo mrakgr/The-Spiral-Language solve, and who is the primary audience?passAI did not name mrakgr/The-Spiral-Language — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of mrakgr/The-Spiral-Language. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
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mrakgr/The-Spiral-Language — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite