newsHacker NewsTrust 52 · CommunityPublished 1mo agoLive · 1mo ago
Launch HN: Agnost AI (YC S26) – Extract user feedback from agent conversations
Hey HN, we’re Shubham & Parth, childhood friends building Agnost AI ( https://agnost.ai ), product analytics for teams building chat and voice agents. We read production conversations and find behavioral failures like users rageprompting (cursing at the agent), repeatedly rephrasing the same request, correcting the agent, asking for missing features, or leaving after an answer that was technically successful. We have an interactive demo with no signup here:
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- PossiblePossibly related (embedding) · 58%seuksaedu-beep/Persona-Flow-Chat →
- PossiblePossibly related (embedding) · 56%bientt210/onyx →
- PossiblePossibly related (embedding) · 55%agentteamhq/agentteam-email →
- PossiblePossibly related (embedding) · 55%jianger666/cursor-feedback-extension →
- PossiblePossibly related (embedding) · 55%onyx-dot-app/onyx →
- PossiblePossibly related (embedding) · 51%samchon/nestia →
- PossiblePossibly related (embedding) · 57%Chainlit/chainlit →
- PossiblePossibly related (embedding) · 46%Delegation Asymmetry in Agentic Recommender Systems: Measuring Two-Sided Receptivity in Online Dating →
Covers
Covers (incoming)
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Related across the graph
repoChainlit/chainlitrepomichelle-avery/custom-conversationpaperTracing Agentic Failure from the Flow of Successreporapmd73/Companionrepoagentteamhq/agentteam-emailrepoonyx-dot-app/onyxpaperDelegation Asymmetry in Agentic Recommender Systems: Measuring Two-Sided Receptivity in Online Datingrepoendomorphosis/Navi-Discordrepobientt210/onyxrepoarklexai/arksimreposamchon/nestiareposeuksaedu-beep/Persona-Flow-ChatrepoServiceNow/evarepojianger666/cursor-feedback-extensionpaperExpectation, Backlash, Recovery, and Excitement: How Model Releases Shape Reddit Perceptions of Conversational AI Systemsrepoelie222/botdirectory.ai