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Klyro
Chat, search, vision and images on one clear credit plan
Klyro combines AI chat powered by OpenAI models, cited web search, image understanding, and image generation in one cohesive app. Instead of confusing tiers or unlimited-usage claims, it estimates credit costs before each action, reserves them, and then settles actual usage transparently. One monthly balance works across Chat, Search, Vision, and Images.
I built Klyro because everyday AI tools often make cost and usage difficult to understand. I wanted one approachable workspace for chat, cited web search, image understanding, and image generation—with the expected credit cost visible before an action runs.
Klyro was built with Next.js and deployed on Vercel. The most important technical challenge was the credit lifecycle: estimate usage, reserve credits safely, run the request, and settle the actual cost afterward. That keeps concurrent requests accurate and makes usage transparent.
The result is a single cohesive experience with Fast, Smart, and Deep modes instead of exposing a confusing list of raw models. Klyro uses OpenAI models behind the scenes to power the AI experience.
I would love your feedback. If you need a similar AI product or custom web platform, feel free to reach out. If you would like to support my work: https://buymeacoffee.com/robertfundulea
About Klyro on Product Hunt
“Chat, search, vision and images on one clear credit plan”
Klyro was submitted on Product Hunt and earned 6 upvotes and 5 comments, placing #87 on the daily leaderboard. Klyro combines AI chat powered by OpenAI models, cited web search, image understanding, and image generation in one cohesive app. Instead of confusing tiers or unlimited-usage claims, it estimates credit costs before each action, reserves them, and then settles actual usage transparently. One monthly balance works across Chat, Search, Vision, and Images.
On the analytics side, Klyro competes within Productivity and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Klyro performed against the three products that launched closest to it on the same day.
Who hunted Klyro?
Klyro was hunted by Robert Ionut Fundulea. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Klyro including community comment highlights and product details, visit the product overview.
Hi Product Hunt! 👋
I built Klyro because everyday AI tools often make cost and usage difficult to understand. I wanted one approachable workspace for chat, cited web search, image understanding, and image generation—with the expected credit cost visible before an action runs.
Klyro was built with Next.js and deployed on Vercel. The most important technical challenge was the credit lifecycle: estimate usage, reserve credits safely, run the request, and settle the actual cost afterward. That keeps concurrent requests accurate and makes usage transparent.
The result is a single cohesive experience with Fast, Smart, and Deep modes instead of exposing a confusing list of raw models. Klyro uses OpenAI models behind the scenes to power the AI experience.
I would love your feedback. If you need a similar AI product or custom web platform, feel free to reach out. If you would like to support my work: https://buymeacoffee.com/robertfundulea