REPOGEO REPORT · LITE
SnowingFox/open-nof1.ai
Default branch master · commit 39226a68 · scanned 6/5/2026, 1:57:30 AM
GitHub: 803 stars · 190 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 SnowingFox/open-nof1.ai, 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.
- highreadme#1Add a direct clarification to the README's opening line
Why:
CURRENT> An open-source implementation of nof1.ai's Alpha Arena - A benchmark platform for evaluating AI models' cryptocurrency trading capabilities with real money in real markets.
COPY-PASTE FIX> An open-source implementation of nof1.ai's Alpha Arena, a benchmark platform for evaluating AI models' cryptocurrency trading capabilities with real money in real markets. **Note: This project is focused on financial trading, not N-of-1 trials in health.**
- hightopics#2Add relevant topics to the repository
Why:
COPY-PASTE FIXai-trading, cryptocurrency, trading-bot, quantitative-finance, real-time-trading, machine-learning, deep-learning, finance, binance, ccxt
- highlicense#3Add a LICENSE file to the repository
Why:
COPY-PASTE FIXCreate a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that aligns with the project's goals.
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.
- Backtrader · recommended 2×
- Zipline · recommended 2×
- Apache Kafka · recommended 1×
- Apache Flink · recommended 1×
- CCXT · recommended 1×
- CATEGORY QUERYHow can I build an open-source AI platform for real-time cryptocurrency trading?you: not recommendedAI recommended (in order):
- Apache Kafka
- Apache Flink
- CCXT
- PyTorch
- TensorFlow
- Scikit-learn
- Backtrader
- Zipline
- InfluxDB
- PostgreSQL
- Docker
- Kubernetes
- Streamlit
- Plotly Dash
AI recommended 14 alternatives but never named SnowingFox/open-nof1.ai. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat are the best open-source tools for evaluating AI trading models with live market data?you: not recommendedAI recommended (in order):
- QuantConnect (Lean Engine)
- Zipline
- Backtrader
- Catalyst
- Freqtrade
- Jesse
- OpenBB Terminal (formerly Gamestonk Terminal)
AI recommended 7 alternatives but never named SnowingFox/open-nof1.ai. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenessfail
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 SnowingFox/open-nof1.ai?passAI named SnowingFox/open-nof1.ai explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts SnowingFox/open-nof1.ai in production, what risks or prerequisites should they evaluate first?passAI named SnowingFox/open-nof1.ai 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 SnowingFox/open-nof1.ai solve, and who is the primary audience?passAI named SnowingFox/open-nof1.ai explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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SnowingFox/open-nof1.ai — 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