Developer Tools1 week ago
LLM 推理计算器 | LLM Inference Calculator
Estimate GPU memory, latency, TTFT, TPOT, and throughput for LLM inference.
popopanda · HN
LLM Inference Calculator – Estimate VRAM, Latency, and Throughput
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Estimate GPU memory, latency, TTFT, TPOT, and throughput for LLM inference.
popopanda · HN
LLM Inference Calculator – Estimate VRAM, Latency, and Throughput
Play strategic games against AI models and see how different LLMs rank on an objective leaderboard.
masterchef2209 · HN
I created a platform to check which AI models is the best gamer
Format-agnostic LLM hub. Bring your own provider keys and route across Anthropic, OpenAI, ChatGPT/Codex, Kimi, Alibaba DashScope, and AWS Bedrock — with unified observability and c
@0xxmemo · X
Play as an AI, gobbling tokens while dodging prompt injections and rate limits in this browser arcade game.
dschwede · HN
Token Gobbler – the goofy game where you're the LLM
Get your game in front of Players, Publishers, and Press. Highest bid takes the #1 Spotlight. Exclusively for iOS and Android mobile games.
@hiimanshu19x · X
View LLM model rankings across 10 benchmark questions.
fristovic · HN
She watched me look at model rankings and asked what do the numbers mean... I literally had no good way of explaining it to her so I just came up with something that is approximately in the same ballpark as some of the benchmarks out there lol
Route LLM calls to cost-effective models without sacrificing quality.
george_avila · Product Hunt
IQ Routing Trajectory-aware LLM routing that cuts agent cost
Chat with AI models, compare them, and vote to shape a community leaderboard.
u/Rabus · Reddit
I got TestingModels too overcomplicated over the month it is running: looking for some feedback how to make it more useful and simpler I run a benchmark like arena.ai , but with pre-generated prompts. So far, nearly 6k people came in and like 30k comparisons has been made - which means the thing is genuinely useful for people to compare the models. The problem is the more features i started adding the more overblown and complicated UI became - like old internet explorer tab bars Old: ht
Automatically route each prompt to the cheapest capable model to cut API costs.
u/ASDKING100 · Reddit
Launched an AI API router tonight, and found a bug hours in that would've taken real payments without ever upgrading the account Built LLMLite over the past few weeks — it classifies each prompt and routes it to the cheapest model that can actually handle it, instead of hitting GPT-4o for everything. Free tier, no card needed to try it. Tonight, right as I was about to launch, ran a real transaction to test the payment flow end to end. Paddle processed it, webhook fired, signature verified
Track AI models used in your apps and receive warnings before they're deprecated.
taylorgt · HN
Find every AI model your code calls and warn before it's retired
Grades AI agents' real conversations with an LLM judge, providing A–F scorecards and FinOps analysis.
@tech_maju · X
Manage an NFL franchise: recruit players, handle salary cap, and coach live 2D matches in this browser-based manager.
u/Bellaposa · Reddit
I built a browser-based football GM simulator with a real-time 2D match engine. 2 months solo. Here's what I learned. TouchdownGM — touchdowngm.com Solo dev, 2 months, zero funding. The hardest parts: 1. The 2D match engine Simulating play outcomes with physics took 3 rewrites before the "momentum" system clicked. Teams can go on runs, weather changes physics (mud slows speed ratings, snow reduces accuracy). 2. AI press conference Built a decision tree + contextual coaching pers