AI: BenchmarkHub - Model Benchmark Dashboard

Model: google/gemini-3-pro-preview
Status: Completed
Cost: $0.834
Tokens: 117,135
Started: 2026-01-02 23:22

06. MVP Roadmap & Feature Prioritization

Strategic execution plan for BenchmarkHub: From prototype to platform.

MVP Definition: The "Github for LLM Evaluations"

Core Value Proposition: A web-based tool allowing engineers to define a specific task, run it against 3-5 top models instantly using their own API keys, and visualize the winner based on correctness and cost.

Must-Have Features
  • Custom Benchmark Builder (Input/Output pairs)
  • Multi-model Runner (via OpenRouter integration)
  • "LLM-as-a-Judge" Evaluation Logic
  • Public Benchmark Library (Read/Fork)
NOT in MVP
  • Native billing/credit system (BYO API Key only)
  • CI/CD Pipeline integrations
  • Team workspaces & RBAC
  • Human-in-the-loop rating interface

Feature Prioritization Matrix

Strategic plotting of features to maximize ROI in Phase 1.

HIGH BUSINESS VALUE
LOW BUSINESS VALUE
LOW EFFORT
HIGH EFFORT
PHASE 1 (MVP)
PHASE 2-3
FILL-INS
AVOID
Auth (Clerk)
Benchmark Builder
Runner (OpenRouter)
Public Library
Credit System
Team Workspaces
CI/CD Hooks
Dark Mode
Custom Model Hosting

Phased Development Roadmap

PHASE 1: Core Utility & Community Seeding Weeks 1-8 • Objective: Validate Utility & Populate Library
MVP

Focus on "Single Player Mode" value. Users bring their own API keys to run comparisons. This avoids initial billing complexity while building the content library.

FEATURE PRIORITY TECH STRATEGY
Benchmark Builder (Form) P0 React Hook Form + JSON Schema
Runner Engine P0 FastAPI + OpenRouter (Access 50+ models)
LLM-as-Judge Grading P0 GPT-4o mini as default judge
Public Feed P1 Next.js ISR (Static Regeneration)
🏆 Success Criteria: 50+ High-quality public benchmarks created, 500+ Runs executed.
PHASE 2: Monetization & Analytics Weeks 9-16 • Objective: Revenue & Retention
PMF

Transition from "BYO Key" to "Managed Credits" to reduce friction and capture revenue. Add deeper analytics to justify Pro tier.

Managed Credit System P0 Stripe Credits + Usage tracking
AI Test Case Generator P1 Use AI to write the benchmarks (lowers friction)
Advanced Analytics P1 Cost vs. Quality scatter plots
🏆 Success Criteria: $2k MRR, 10% conversion to "Managed Runner".
PHASE 3: Ecosystem Integration Weeks 17-24 • Objective: Scale & Lock-in
SCALE
CI/CD Integration (GitHub Action) P0 Automated regression testing for prompts
Team Workspaces P1 Shared billing, private benchmark repos

Timeline & Milestones

Setup Wk 1-2
Core Build Wk 3-6
Beta/Launch Wk 7-8
  • M1 (Wk 2): Runner API connects to OpenRouter.
  • M2 (Wk 6): 20 Internal benchmarks running.
  • M3 (Wk 8): Public Beta Launch.

"Do More With Less" Stack

Leveraging existing APIs to cut engineering time by 60%.

LLM Aggregation OpenRouter Saves 3 wks
Auth & User Mgmt Clerk Saves 1 wk
Vector DB Supabase Saves 5 days
UI Components shadcn/ui Saves 2 wks

⚠️ Critical Roadmap Risks

Risk: API Key Liability

Users fearing key leakage.

Mitigation: Keys stored only in browser local storage for MVP (Client-side execution where possible).

Risk: Cost of "Judge"

GPT-4 evaluation is expensive.

Mitigation: Default to cheaper models (GPT-4o mini) for draft runs; Premium judge for final.