// HACKER NEWS — CYBERSECURITY
Show HN: We built open OpenRouter that turns usage into a better model
Experiential is an open source gateway and router for agent workflows:
Start a local OpenAI-compatible gateway. On first run, the setup wizard uses the shared provider,
model, and reasoning-effort selectors, persists every selected provider connection, then shows
defaults for the public alias, identity, and $50.00 command budget before printing a one-time key:
Choose a public alias such as opus-5, capture the issued key, and send a request:
Prefer a managed gateway to running one locally? The hosted platform at
platform.experientiallabs.ai serves the same
OpenAI-compatible (and Anthropic Messages) API at https://api.experientiallabs.ai/v1.
See SETUP.md for copy-paste prompts you hand to your coding agent
(Claude Code, Cursor, Codex, and similar); the agent runs the setup for you. It
collects four prompts:
Start the local gateway with exp (or exp run); the compiled native data plane
serves every route on loopback. From Python, load a fitted project router as an
official OpenAI client backed by its own private gateway:
First, collect OpenTelemetry traces from your current agent. If you just want to try it out, grab
the public terminal-tasks OTLP dataset:
Then build a project. The build command walks you through providers,
models, and budget, and asks for your trace file:
After collecting traces from your router, fine-tune an open source model you own using
Tinker.
Anonymous aggregate PostHog product telemetry is enabled by default. It never includes prompts,
traces, actions, observations, paths, model names, credentials, or raw customer content.
The preference is stored locally in .exp/settings.toml.