Model Gateway – bridging your apps with LLM inference endpoints

Hacker News

- Automatic failover and redundancy in case of AI service outages. - Handling of AI service provider token and request limiting. - High-performance load balancing - Seamless integration with various LLM inference endpoints - Scalable and robust architecture - Routing to the fastest Azure OpenAI available region - User-friendly configuration Any feedback welcome!

Visit product View on Hacker NewsJun 13, 2024

Share card

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

86%86% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, apps, user · Missing: mac, agents, macos

85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: apps, way · Missing: mobile apps, ios, personal

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: friendly · Missing: plus, platform, intuitive

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

LLM Inference Requirements Profiler59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LLM Inference Requirements Profiler

Hacker News4

cortecs59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Gateway for sovereign, compliant and private LLM inference

Product Hunt

VernLLM – LLM fallback, no gateway45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

VernLLM – LLM fallback, no gateway

Hacker News2

NeuralTrust37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LLM Gateway and Red Teaming

Indie Hackerscommitment-full-time

Run transformers model inference in C/C++ and even assembly60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Run transformers model inference in C/C++ and even assembly

Hacker News2

Melange - pegging AI inference to the cost of the most expensive model44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Melange - pegging AI inference to the cost of the most expensive model

Hacker News4

KTransformers–236B Model and 1M Context LLM Inference on Local Machines67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

KTransformers–236B Model and 1M Context LLM Inference on Local Machines

Hacker News20

Inspect Element for LLM Apps52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Inspect Element for LLM Apps

Hacker News1

Speeding up LLM inference 2x times (possibly)74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Speeding up LLM inference 2x times (possibly)

Hacker News419

Open-source AMDGCN kernels for optimizing LLM inference72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open-source AMDGCN kernels for optimizing LLM inference

Hacker News5

Browse all products Analyze your launch