Building OpenStat: observability & monitoring for AI agents | Full Stack Engineer | @0xastralmarket and @useopenstats | @avax build games 2026 merit recipient
OpenStat is a telemetry + monitoring stack for autonomous agents, with early focus on AI trading agents.
It lets you collect decision, risk, order, fill, heartbeat, LLM usage, and PnL telemetry → process it through a backend worker → and inspect everything in a clean dashboard.
No more flying completely blind with your agents.
Website coming soon! This is an early MVP. Feedback is very welcome!
→ https://t.co/QAjXTHtYtk
→ https://t.co/YV22pQgLbt
Why I built it:
My own AI trading agents were making and losing real money, but I had zero visibility.
I couldn’t understand why they entered or exited positions, why they burned tokens, or what decisions led to wins/losses.
Pure black box. OpenStat fixes that.
What’s in the repo right now (MVP):
• Fastify backend with auth, API keys, native JSON ingestion & OpenAPI
• Next.js dashboard (overview, agents, runs, trades, alerts, settings…)
• TypeScript + Python SDKs for easy telemetry
• Postgres + Drizzle + background workers for normalization/redaction/projection
• Security-first design (sensitive data redacted by default)
Still planned: full OTLP support, better retention, production-grade SDKs, etc.
Tech stack highlights:
- Turborepo + PNPM workspaces
- Fastify + Next.js
- Drizzle ORM
- Designed for both self-hosting and future scaling
If you're building or running autonomous agents (trading or otherwise), I'd love your brutal feedback or contributions.
Star the repo if it looks useful: https://t.co/YV22pQgLbt
Who else is tired of blind AI agents? Drop your biggest pain point below 👇
(Full deep-dive write-up coming to Indie Hackers soon)
#buildinpublic #indiehacker #AIAgents #OpenSource
OpenStat is a telemetry + monitoring stack for autonomous agents, with early focus on AI trading agents.
It lets you collect decision, risk, order, fill, heartbeat, LLM usage, and PnL telemetry → process it through a backend worker → and inspect everything in a clean dashboard.
No more flying completely blind with your agents.
Website coming soon! This is an early MVP. Feedback is very welcome!
→ https://t.co/QAjXTHtYtk
→ https://t.co/YV22pQgLbt
Why I built it:
My own AI trading agents were making and losing real money, but I had zero visibility.
I couldn’t understand why they entered or exited positions, why they burned tokens, or what decisions led to wins/losses.
Pure black box. OpenStat fixes that.
What’s in the repo right now (MVP):
• Fastify backend with auth, API keys, native JSON ingestion & OpenAPI
• Next.js dashboard (overview, agents, runs, trades, alerts, settings…)
• TypeScript + Python SDKs for easy telemetry
• Postgres + Drizzle + background workers for normalization/redaction/projection
• Security-first design (sensitive data redacted by default)
Still planned: full OTLP support, better retention, production-grade SDKs, etc.
Tech stack highlights:
- Turborepo + PNPM workspaces
- Fastify + Next.js
- Drizzle ORM
- Designed for both self-hosting and future scaling
If you're building or running autonomous agents (trading or otherwise), I'd love your brutal feedback or contributions.
Star the repo if it looks useful: https://t.co/YV22pQgLbt
Who else is tired of blind AI agents? Drop your biggest pain point below 👇
(Full deep-dive write-up coming to Indie Hackers soon)
#buildinpublic #indiehacker #AIAgents #OpenSource
The future of agentic ai is exciting, because every app, tool, and service you use will actually turn agentic.
If you need an idea, just look around, and turn anything people use into its agentic version.
Absolutely, with AI trading agents getting recognized. People will start to min max their agentic prompts and compete with each other. Openstat is positioned to capitalize this growing demand!
Just shipped the new reworked OpenStat login 🔥
Everything you need to explain anything your AI agent does.
No more black-box trading agents. Full visibility into reasoning, risk, trades, fills, alerts & in one clean workspace.
Early alpha building in public.
What do you think of the design? 👇
#AIAgents #BuildInPublic #AITrading #AgenticAI #IndieHackers
@ripchillpill Absolutely agree on the web3 environment being on steroid. I still believe they can turn this around.. still too early to tell the outcome but good pivot!
@aqintelligence Exactly. People will soon realize AI agents aren't magic black boxes, they're systems full of hidden failure points, rationalization loops, and subtle drifts.
Just shipped a clean v1 UI/UX for my AI Trading Agent Telemetry Dashboard🔥
Real-time agents, decision-to-trade activity, trade funnel, risk monitoring, and live alerts all in one place.
Been grinding hard on this the past few days. Should be fully done soon.
Who else is building AI agents for trading? 👇
#AITrading #BuildInPublic #IndieHackers