Custom LLMs, without training. Use via openai compatible api
We provide an OpenAI-compatible orchestration layer that lets teams compose their own “virtual models” on top of any LLM - combining prompts, reasoning, review, and guardrails, and use them everywhere from your IDE to your backend. Key features 🔌 One OpenAI-compatible API for many LLMs 🧱 Custom models you name & reuse 🧠 Reasoning mode on demand ✅ Built-in review mode 🛡️ Guardrails & PII masking 🧑💻 IDE & CLI integrations 📊 Analytics & cost controls
Hey Product Hunt! 👋
I'm Shreyans, cofounder of AskCodi.
After years of building askcodi as an frontend layer for constant AI releases. We are moving away from consumer tech and focusing on our expertise bring Research to Consumers.
First step building an LLM orchestration layer that lets you build your own custom coding models on top of any LLM and making it accessible using openai compatible api.
Instead of calling gpt-5.1 directly, you call things like:
- code-generator-model
- bugfix-with-review
- secure-code-review
Each “custom model” is a recipe: prompts + reasoning + review + guardrails.
- Stack prompts, tools, reasoning, review, and guardrails into a single model name you can call anywhere.
- Enable reasoning and self-check flows for complex coding tasks, even on non-reasoning base models.
- Add an automatic review pass: generate, then review for bugs, security, and style in one call.
- Mask sensitive data and enforce organization policies at the model layer.
Our goal is simple: make small and open-source models as effective as frontier LLMs at a fraction of the cost.
If you’re experimenting with AI in your dev workflow or already rely on tools like Codex, CC, Copilot, or Cursor.
I’d love your feedback and support.
About AskCodi on Product Hunt
“Custom LLMs, without training. Use via openai compatible api”
AskCodi launched on Product Hunt on November 26th, 2025 and earned 232 upvotes and 26 comments, placing #5 on the daily leaderboard. We provide an OpenAI-compatible orchestration layer that lets teams compose their own “virtual models” on top of any LLM - combining prompts, reasoning, review, and guardrails, and use them everywhere from your IDE to your backend. Key features 🔌 One OpenAI-compatible API for many LLMs 🧱 Custom models you name & reuse 🧠 Reasoning mode on demand ✅ Built-in review mode 🛡️ Guardrails & PII masking 🧑💻 IDE & CLI integrations 📊 Analytics & cost controls
On the analytics side, AskCodi competes within Software Engineering, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how AskCodi performed against the three products that launched closest to it on the same day.
Who hunted AskCodi?
AskCodi was hunted by Shreyans Bhansali. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Shreyans Bhansali