Nicheloom

Market intelligence for builders — see what's gaining traction before it's crowded.

Smart model routing directly in Claude, Codex and Cursor

Details

External ID
48688700
Source
HN
Company
—
Product
Smart model routing directly in Claude, Codex and Cursor
Website domain
github.com
Launched
June 26, 2026
Cohort
—
Upvotes
216
Upvotes percentile
0.9637978142076503
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

We built a model router that plugs into coding agents (e.g. Claude Code, Codex, Cursor, etc.) and intelligently sends requests to the best model to serve them. Here's a quick demo of running it locally: https://www.youtube.com/watch?v=isKhAyivtfM.At Weave, we write most of our code with AI, and it's been getting more expensive. This came to a head when Opus 4.7 was released and, thanks to its tokenizer changes, our costs shot up. We knew we didn't need Opus for everything but we didn't want to lose out on the intelligence for the cases where you really need it. So we decided to build a model router to handle this for us.The Weave Router acts as an Anthropic/OpenAI endpoint specifically for coding agents. It looks at every inference request and intelligently (more on that in a sec) decides what model to send it to, handling all the translations required along the way. So it can use faster/cheaper models (e.g. DeepSeek v4, GLM 5.2, Kimi K2.6) when possible, and frontier models (Opus 4.8 & GPT 5.5 (& Fable whenever it's back)) when necessary.How do we know what model to route to? We trained an RL model on tens of thousands (so far!) of agent traces. We reward the routing model when it selects an LLM that successfully completes the given task.Here's an example: if you ask the router to plan a complex change, it will (probably) route that request to Opus 4.8. Subagents exploring the codebase to gather context will be routed to more suitable models (e.g. DeepSeek V4 Flash). Then when you have the plan ready to implement, it will be (most likely) be handed to a quicker model (e.g. GLM 5.2) to carry it out.We've been using this internally for the last month or so. We've saved 40% on tokens vs. what we otherwise would have paid, with no noticeable differences in quality or velocity.The router is source-available under Elastic License 2.0, so you can self-host it. Or if you prefer, you can also use our hosted version: weaverouter.com.I'll be here to answer any questions you may have!

Enrichment

Theme
AI agent frameworks and developer tools
Vertical
Horizontal
Function
Agent / copilot
Audience
Developer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
model routing for ai coding assistants
Manually corrected
False

Could you build this?

Yes This is a local proxy or MCP server that intercepts coding agent prompts, evaluates complexity with lightweight heuristics or a fast model, and routes to appropriate downstream LLMs.

Discussion

20 comments analyzed.

Competitors mentioned: Claude Code, Anthropic Claude (Opus, Sonnet), Google Gemini, Open source models, GLM 5.x

Concerns raised: Deceptive marketing practices and bait-and-switch on premium features, Poor customer support and account deletion process, Lack of published benchmarks for performance, Cache misses and context switching costs between models, Token costs still prohibitive for large organizations

Feature requests: Router with on-demand compute provisioning and auto-shutdown, Model selection based on cache state and context tracking, Better handling of cache matching to avoid expensive re-fetches, Support for artifact-based workflows with plan handoff between models

Competitors

Other products that read as similar to this one — 150 launches clear the similarity bar, closest 8 shown.

Attention rank: #14 of 151 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 240 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.