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).
TachyRoute
The Explainable, Multimodal, Early-Exit Decision Engine
An open-source Non-Autoregressive Decision Engine. It evaluates typed decisions (choice, score, boolean) in <15ms using adaptive early-exit compute and attention rollout evidence extraction: without generating text, hallucinating or parsing fragile JSON.
Hey Product Hunt! 👋 I'm Dhanush, the creator of TachyRoute.
We rely on Massive LLMs for everything, but why run a 24-layer transformer for a simple routing question? It's slow, expensive, and opaque.
I built TachyRoute to fix this. It is a Non-Autoregressive Decision Engine that introduces the "TachyRoute Leap":
⚡ Adaptive Early-Exit Computing: If the model is confident at layer 6, it exits. P99 latency drops to ~15ms while retaining 100% accuracy.
🔍 Explainable Evidence: It uses Attention Rollout to return the exact text span that caused the decision, adding 0ms to inference time.
🔀 Dynamic Complexity Routing: Seamlessly redirects workloads between lightweight models and massive multi-lingual experts based purely on necessity.
You can evaluate typed decisions over any state in milliseconds: without hallucinating or parsing fragile JSON. TachyRoute is fully open-source. Check out the GitHub repo, run the quickstart and let me know your thoughts or questions below!
No comment highlights available yet. Please check back later!
About TachyRoute on Product Hunt
“The Explainable, Multimodal, Early-Exit Decision Engine”
TachyRoute was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #61 on the daily leaderboard. An open-source Non-Autoregressive Decision Engine. It evaluates typed decisions (choice, score, boolean) in <15ms using adaptive early-exit compute and attention rollout evidence extraction: without generating text, hallucinating or parsing fragile JSON.
TachyRoute was featured in Open Source (69k followers), Developer Tools (521.5k followers), Artificial Intelligence (481.6k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 269.3k products, making this a competitive space to launch in.
Who hunted TachyRoute?
TachyRoute was hunted by Dhanush N. 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 TachyRoute stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.