Nicheloom

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

SuperRouter

Route by measured quality, not model reputation

Details

External ID
1259630
Source
PH
Company
—
Product
SuperRouter
Website domain
producthunt.com
Launched
Sept. 24, 2026
Cohort
—
Upvotes
2
Upvotes percentile
0.7405388069275176
Tags
Developer Tools, GitHub
Fetched at
Sept. 26, 2026, 1:01 a.m.
Updated at
Sept. 26, 2026, 1:01 a.m.

Description

Measure your own product, then route each task to the cheapest model that clears your quality bar. Builds an exam from your product (screens, planted faults, ground truth from those faults). Scores catch rate vs false alarms separately, uses confidence bounds, builds a per-task-type routing table, and serves via an OpenAI/Anthropic-compatible proxy (OpenRouter/Ollama/etc.). Python 3.9+, no runtime deps, Apache-2.0. Works; author-only so far. Product-specific numbers, not a universal leaderboard.

Enrichment

Theme
leaderboard, ranking, and benchmarking tools
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
model router for ai developers
Manually corrected
False

Could you build this?

Partial Setting up an LLM proxy with basic fallbacks is simple, but building an automated synthetic benchmark harness with planted fault generation, statistical confidence bounds, and dynamic cost/quality optimization is non-trivial.

What it would actually take: The architecture requires an automated evaluation framework that ingests product traces, plants synthetic edge-case faults, and establishes ground-truth quality scores. It demands a robust statistical engine calculating confidence intervals (e.g., Wilson score or Clopper-Pearson bounds) over small sample sizes to route queries reliably. Implementing this dynamic routing layer requires rigorous data science, automated eval design, and ultra-low-latency proxy infrastructure.

Competitors

Other products that read as similar to this one — 15 launches clear the similarity bar, closest 8 shown.

Attention rank: #6 of 16 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 83 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a model & infra tool for Fintech yet.