GitGauge – A Way to Try Tell If a Repo Is Authentic
Star-farming detector using fork ratios when GitHub already shows these metrics natively.

Unified AI API when OpenRouter already dominates the model aggregation space.
AI developers building multi-model applications
OpenRouter · Together AI · Fireworks AI
We have been working on Qubrid AI — a platform to try and use 50+ AI models (text, vision, audio) from a single API.
While building AI apps, we kept running into the same issue: switching between providers, APIs, and formats just to test different models. This slowed down iteration a lot, so we built a simpler way to experiment and compare.
You can:
- Run different models from one place - Compare outputs side-by-side - Use a unified API instead of multiple integrations
You can try it here (playground available): https://platform.qubrid.com/models/
We’d really appreciate feedback on what’s missing or confusing, and how you’re currently working with multiple models.
Happy to answer questions!
Star-farming detector using fork ratios when GitHub already shows these metrics natively.
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Normalizes disparate benchmarks into a single IQ score, but relies on opaque calibration curves.
Polished dashboard tracking AI crypto predictions that fundamentally cannot work reliably.
Auto-failover across 18 free AI providers beats manual key juggling.
Drop-in LiteLLM price map replacement with daily provider rate updates.