Dawn – Analytics for AI Products

What it does

Trace every run. Auto-fix silent failures. Ship confidently. Every production run leaves a trail of messages, tool calls, retries, and errors. Raindrop captures it all in one place. Raindrop reads the trace and sends the real failures to Slack, from hallucinations and loops to broken tools. Just like a teammate, Raindrop lives in Slack. Ask questions, triage issues, create signals, and more. Every production run leaves a trail of messages, tool calls, retries, and errors. Raindrop captures it all in one place. Raindrop reads the trace and sends the real failures to Slack, from hallucinations and loops to broken tools. Just like a teammate, Raindrop lives in Slack. Ask questions, triage…from dawnai.com

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  Raindrop2025 · raindrop.ai · ▲241

  Monitor your AI Agent the right way. Get alerted when your agent fails in production, trace exactly what went wrong, and prove your fix worked.

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  Fix My Agent (FMA)Jan 2026 · docs.futureagi.com · ▲50

  See what breaks your AI agent and fix it automatically

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  Progress AI ObservabilityAug 2026 · telerik.com · ▲168

  Hi HN! We’re the team behind Fiddler, and we recently built an Agent Cache feature. It works by capturing an LLM request/response pair and, once caching is enabled, serving subsequent matching calls locally so duplicate requests never hit the provider. It’s meant to reduce three pains that show up together in agent development: token cost, feedback-loop latency, and output non-determinism. We’d love to hear your thoughts.

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  Agent MonitorFeb 2026 · agentmonitor.io · ▲128

  An AI agent rewriting your codebase looks like scrolling text in a terminal. Agent Monitor shows you what it

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  TraceaMay 2026 · tracea.dev · ▲80

  Datadog for AI agents with traces, RCA, and team memory

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  TrailsJan 2026 · trails-red.vercel.app · ▲81

  Hey all, Justin here. I previously built Phind, the AI search engine for developers. One of the biggest problems we had there was figuring out what went wrong with bad searches. We had tons of searches per day, but less than 1% of users gave any explicit feedback. So we were either manually digging through searches or making general system improvements and hoping they helped. This problem gets harder with agents. Traces are longer and more complex. It takes more effort to review them, so I'm building a tool that lets you analyze LLM outputs directly to help developers of LLM apps and agents…

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  Spira Maxima▲578

  Video model that turns script into viral social media videos

  AI · 17d ago · spira.ai

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  Rill Browser▲540

  The browser where Claude Code and Codex work beside you

  AI · 17d ago · rill.love

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  Germany's new sovereign AI model Kolibri▲424

  Kolibri is Aleph Alpha

  AI · 18d ago · tej.as

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  Giving Opus 5.5 a simulated paint canvas▲392

  Paintings by AI models: programs run through a simulation of oil paint.

  AI · 20d ago · stillwet.art

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  Onepin▲384

  AI voiceover with every name, price and date said right

  AI · 30d ago · onepin.ai

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  PixVerse R2▲381

  A real-time world model you can explore and change

  AI · 29d ago · world.pixverse.video

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  Dub.co▲1,475

  Short links with superpowers

  Dev tools · 2024 · dub.co

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  3 years and 1M users later, I just open-sourced my "Internet OS"▲1,274

  🌐 The Internet Computer! Free, Open-Source, and Self-Hostable. - HeyPuter/puter

  Dev tools · 2024 · github.com

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  Microlaunch▲1,115

  Launch and get feedback on both the idea and product

  Dev tools · 2024 · microlaunch.net

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  Milestone▲1,113

  Interactive, gamified product tours for SaaS

  Growth · 2024 · milestoneflow.io

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  Hunted Space▲1,004

  Insights on Product Hunt launches

  Growth · 2024 · hunted.space

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  Creatie▲850

  The one-stop product design tool amplified by AI

  AI · 2024 · creatie.ai