This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Stop paying for idle GPUs. Build AI assistants from your documents, access Qwen, DeepSeek, Kimi and FLUX through one OpenAI-compatible API, and pay only for what you use.
Hey Product Hunt! 👋
I'm Alex, founder of Lexora.
I started building Lexora after repeatedly paying for GPU infrastructure that sat idle most of the day while building AI products.
Our goal is simple: developers should only pay when AI is actually used.
With Lexora, you can:
• Create AI assistants from your own documents for free during beta
• Build knowledge bases in minutes with built-in RAG
• Access hosted models like Qwen3 and FLUX Schnell
• Use frontier models like DeepSeek and Kimi through the same OpenAI-compatible API
One thing I'm particularly excited about is how Lexora works under the hood.
Instead of relying only on centralized GPU clusters, Lexora can route AI inference across a decentralized network of GPU providers. Local GPUs contribute compute to the network, helping us scale capacity without requiring every customer to rent dedicated infrastructure.
For developers, that means one simple API. Behind the scenes, we're building a distributed AI compute network.
We're still in the early days, but it's been exciting to see people already using it:
• 20+ organic users
• 3,200+ API requests served
• 3.8M+ tokens generated
• Multiple AI assistants created from uploaded documents
This is just the beginning, and we'd genuinely love your feedback.
If you're building with AI, what would make you switch from your current AI provider?
Thanks for checking us out! ❤️
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About Lexora on Product Hunt
“Stop Paying for Idle GPUs”
Lexora was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #142 on the daily leaderboard. Stop paying for idle GPUs. Build AI assistants from your documents, access Qwen, DeepSeek, Kimi and FLUX through one OpenAI-compatible API, and pay only for what you use.
Lexora was featured in API (98.4k followers), Developer Tools (515.4k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 191.2k products, making this a competitive space to launch in.
Who hunted Lexora?
Lexora was hunted by Chirantan Bose. 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.
Want to see how Lexora stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Chirantan Bose