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).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Relay
Reliable delivery layer for LLM APIs
Drop-in SDK that adds auto retry, provider failover (Anthropic ↔ OpenAI), and smart caching to every LLM call. One line keeps your AI agents online even when providers don't. BYOK, edge-native, $0 to start.
Hey Product Hunt! Alikhan here, solo founder of Relay.
I've shipped four AI products over the last two years and each one
needed the same reliability code on top of the LLM API - retry,
backoff, provider failover when Anthropic 529s, caching for repeat
prompts. I rewrote that loop four times, each time with a different
bug. The fourth time, I admitted it: this is a product, not a yak.
Relay is that code, but reliable and importable:
Auto retry with decorrelated jitter
Provider failover - Anthropic ↔ OpenAI with model mapping
Smart caching (exact + semantic)
Live dashboard for every request — latency, cost, retries
BYOK - your keys, encrypted, your bill stays with the provider
Think Resend, but for LLM APIs. One line replaces @anthropic-ai/sdk,
and your agent stays up when providers don't.
SDK is open-source (MIT) at github.com/relay-llm/sdk. Early waitlist
signups get 6 months of Pro free.
Would love your feedback:
1. Does the "one-line failover" positioning resonate?
2. Hand-rolling retry code in your AI projects today?
3. What providers should I add after Anthropic + OpenAI?
Roast me - better here than in prod)
About Relay on Product Hunt
“Reliable delivery layer for LLM APIs”
Relay was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #150 on the daily leaderboard. Drop-in SDK that adds auto retry, provider failover (Anthropic ↔ OpenAI), and smart caching to every LLM call. One line keeps your AI agents online even when providers don't. BYOK, edge-native, $0 to start.
On the analytics side, Relay competes within API, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Relay performed against the three products that launched closest to it on the same day.
Who hunted Relay?
Relay was hunted by Alikhan Kenzhebaev. 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 Relay including community comment highlights and product details, visit the product overview.
Alikhan Kenzhebaev