SaaS Metrics
Product Positioning & Context
Agnost AI analyzes conversations between users and your production AI agents and discovers: silent failures, agent behavior drift, hallucinations, user frustration, hidden feature requests, and churn signals. It groups them into recurring patterns, shows the exact users and conversations behind each insight, and turns them into evals and fixes.
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is Agnost AI?
Agnost AI is a digital product or tool described as: Catch agent failures your evals miss
Where did Agnost AI originate?
Data for Agnost AI was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was Agnost AI publicly launched?
The initial public indexing or launch date for Agnost AI within our tracked developer communities was recorded on August 25, 2026.
How popular is Agnost AI?
Agnost AI has achieved measurable traction, logging over 231 traction score and facilitating 11 recorded discussions or engagements.
Which technical categories define Agnost AI?
Based on metadata extraction, Agnost AI is categorized under topics such as: Analytics, Developer Tools, Artificial Intelligence.
Is Agnost AI recognized by media or academic researchers?
Yes. It has been covered by media outlets like Agnost.ai. This indicates the concept has reached a level of mainstream or scientific viability beyond just developer forums.
What are some commercial alternatives to Agnost AI?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as agmsg, which offers overlapping value propositions.
Are there open-source alternatives related to Agnost AI?
Yes, the GitHub ecosystem contains correlated projects. For example, a repository named zjwzcx/Awesome-Astra-Embodied-AI shares highly similar architectural descriptions and topics.
How does the creator describe Agnost AI?
The original author or development team describes the product as follows: "Agnost AI analyzes conversations between users and your production AI agents and discovers: silent failures, agent behavior drift, hallucinations, user frustration, hidden feature requests, and chu..."
Community Voice & Feedback
Congrats on the launch team!!! I played around with the product and it felt super snappy
congrats on the launch! Let's go team.
Been waiting for a product like this. Congrats on the laucnh!
You two kept messaging founders about failures in their agents and kept hearing that they had no idea. Congrats on shipping the version where they find out first, without needing you to tell them.
You noticed that an invented link still comes back as a 200 OK on the dashboard. Congrats on building the thing that actually reads the conversation.
This is so cool!
Can I also save my model inference costs using the insights Agnost gives me?
Hey Product Hunt! Shubham here šParth and I try almost every AI product we come across (weāre just young curious folks).And we kept on doing the same thing: a product launched with an insane claim, their agent would feel magical for 10 minutes, then it claimed it completed something it hadnāt, invent a link, or make us repeat ourselves three times.Weād then message the founders and hear: this is really useful feedback. we had no idea.And weād think: wait, you already have the entire conversation & traces. why did we have to tell you?Turns out, their the AI observability dashboards showed a successful request: 200 OK, tool call succeeded, response generated.The failure was only visible if someone actually read the conversation. So we built Agnost AI.Agnost AI reads every production conversation across chat and voice agents. It groups them into recurring failures, behavior drift, hallucinated links, frustration, feature requests and churn signals, with the exact users and conversations behind each one.From there, you can create an eval, or ask your coding agent to debug the problem & fix it.Because evals test problems you already know about. You canāt write an eval for something you havenāt discovered yet.Agnost AI connects in three lines of code or through OpenTelemetry and already analyzes more than one million messages every day.If youāre running a user-facing agent, connect it. Iāll personally help you find three things happening in your conversations that you probably donāt know about.Also, how do you currently discover failures your evals donāt cover: user complaints, manually reading traces, or something else?
Discovery Source
Product Hunt Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.