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๐Ÿ’ก Emerging๐Ÿ†• New this week
devtoolsai-agentsobservabilitymonitoringdebugging

AgentOps - Observability for AI Agents

Datadog for AI agents - trace, debug and monitor LLM workflows, MCP calls, and agent reasoning chains

๐Ÿ“Š Market Evidence

๐Ÿ† Competitor Landscape

How existing players stack up in this market

LangSmithFree / $39-400+/mo

LangChain observability

Weights & BiasesFree / $50+/mo

ML experiment tracking

HeliconeFree / $20+/mo

LLM observability

ArizeContact sales

ML observability platform

PortkeyFree / $49+/mo

LLM gateway + observability

Score Breakdown

66/100
๐Ÿ’กEmerging

Early-stage opportunity worth watching

Market (20%) + Revenue (20%) + Trend (15%) + Competition (15%) + Build (15%) + Pricing (15%)

Market Proof7/10
Revenue Proof5/10
Trend Momentum9/10
Competition Gap3/10
Build Speed6/10
Pricing Signal6/10

๐Ÿš€ Start Building

Copy a prompt into your favorite AI coding tool and start building this idea right now.

prompt.md
Build a SaaS product called "AgentOps - Observability for AI Agents".

## Product Overview
Datadog for AI agents - trace, debug and monitor LLM workflows, MCP calls, and agent reasoning chains

## Problem
Datadog for AI agents - trace, debug and monitor LLM workflows, MCP calls, and agent reasoning chains

## Solution
Build AgentOps - Observability for AI Agents

## Target Audience
indie hackers, small businesses, and solopreneurs

## Tech Stack
- Next.js 15 (App Router) with TypeScript
- Tailwind CSS v4 for styling
- Supabase for auth, database, and storage
- Vercel for deployment
- shadcn/ui for UI components
- Framer Motion for animations

## MVP Features to Build
1. Landing page with clear value proposition
2. User authentication (sign up, sign in, forgot password)
3. Core product functionality based on the solution above
4. Dashboard for users to manage their data
5. Pricing page with at least 2 tiers (free + paid)
6. Basic settings/profile page

## Known Competitors
LangSmith, Weights & Biases, Helicone, Arize, Portkey

## Key Risks to Address
Standard market entry risks

## Deployment
1. Set up Supabase project and configure environment variables
2. Deploy to Vercel with `npx vercel --prod`
3. Set up custom domain
4. Configure Supabase RLS policies for security

## Instructions
Start by creating the project structure, then build the landing page first. Use server components where possible. Make it mobile-responsive from the start. Focus on getting the core value loop working before adding polish.