Launched this week

Ledda

Launched this week

See what your AI agents are actually doing in production

30 followers

See what your AI agents are actually doing in production

30 followers

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Your AI agent completed the conversation. No error. But it hallucinated a policy, skipped a step, or did the wrong thing. Traditional monitoring sees a 200 OK. Ledda catches what monitoring misses. Connect OpenTelemetry traces in 10 minutes. See every LLM call, tool use, and decision. Get alerts when completion rates drop or hallucinations spike. Readable by your whole team, not just engineers. OpenTelemetry native. Free: 50k units, no credit card.

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Launch tags:SaaS•Developer Tools•Artificial Intelligence

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Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

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Maker

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Hey PH! I'm Marcelo, founder of Ledda. I built Ledda because I kept seeing the same pattern: teams ship an AI agent, it works great in demos, then weird things start happening in production. The agent skips steps. It makes up policies. It confidently does the wrong thing. And nobody knows until a customer complains. The problem? These aren't errors. Traditional monitoring sees a 200 OK. The agent "completed" the conversation. But the customer got a hallucinated answer or a half-done task. Ledda watches every conversation your AI agent has and catches the failures that don't look like failures. Your support team can search conversations without asking engineering. Your product team can see patterns without parsing logs. We're OpenTelemetry native — if you have tracing, you can connect in 10 minutes. No SDK lock-in, no code changes to your agent. Would love your feedback. What's the hardest part of running AI agents in production for you?

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1d ago

Great product! Quick question: how does this differ from Langfuse, for example? Also, is there a free tier available for testing?

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1d ago

Maker

@benguardio

Thanks for the kind words! Great question.

Langfuse is an incredible tool. We really respect what they've built. The key difference is focus: Langfuse is an "LLM Engineering Platform" built for prompt engineering, evaluation, and experimentation. Ledda is purpose-built for observability - we focus on catching silent failures (hallucinations, skipped steps, partial completions) and alerting you before your customers notice.

While Langfuse helps you build better prompts. Ledda makes sure your agent isn't breaking in production right now.

Setup takes ~10 minutes (OpenTelemetry native), and yes — there's a free tier with 50k units included, no credit card required. More than enough to test it out!

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21h ago