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An unmetered LLM API–$6/month, no token tracking, no limits

Details

External ID
48799719
Source
HN
Company
—
Product
An unmetered LLM API–$6/month, no token tracking, no limits
Website domain
yolo-auto.com
Launched
July 6, 2026
Cohort
—
Upvotes
12
Upvotes percentile
0.6039426523297491
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Hi HN,I was once given the advice: Don't waste expensive frontier model credits (GPT/Claude/etc.) on bulk work. Send the boring, repetitive, high-volume jobs to a smaller model, and save the expensive prompts for when you actually need frontier-level reasoning. I complained and told my manager that I shouldnt have to think about using certain models for certain coding tasks, and that one model should handle everything. Well, here we are anyway.If anyone needs a place to absolutely abuse an LLM with high-volume tasks, come beat ours up at https://yolo-auto.com.Here are the specs for $6/month:- Model: Qwen3.6-35B-A3B - Unlimited tokens / No request caps - FP8 / 128k context - OpenAI-compatible endpoint - ~100 tokens/sec average - 100% private (zero data retention)We also have a free tier that gives you 500 requests a day going on.We've got around 100 active users so far. If you're skeptical about the unlimited claim, jump into our Discord and ask them—we've got people burning hundreds of millions of tokens a day doing agent experiments, bulk coding, data processing, and all kinds of nonsense.We're also just about to finish our first AI game-dev "SlopJam," where people had 72 hours to build the most cursed AI-generated game they could. It was way more fun than we expected.Drop a question or comment below, happy to answer anything!

Enrichment

Theme
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
unmetered llm api with fixed pricing
Manually corrected
False

Could you build this?

No Offering an unmetered, flat-rate $6/month LLM API requires hosting and operating high-end GPU clusters (e.g., multiple A100/H100s or L40S) and managing hardware capacity, queuing, and massive capital costs.

What it would actually take: Running Qwen 27B unmetered requires dedicated multi-GPU inference nodes using frameworks like vLLM, TensorRT-LLM, or SGLang with continuous batching and PagedAttention. It requires deep infrastructure engineering, network optimization, GPU orchestration (Kubernetes with KServe/vLLM), and strict DDoS/abuse mitigation to maintain uptime under flat-rate abuse.

Discussion

13 comments analyzed.

Competitors mentioned: AWS (g6e.xlarge instances), Self-hosted GPU solutions, 4x 3090s setup

Concerns raised: Reliance on third-party auth (Google/GitHub/Discord) instead of email/password, Bot verification loop making signup difficult, Current business model losing money despite optimization, Requires external account creation to access service, Security concerns with sharing API keys

Feature requests: Free trial month option, Alternative authentication methods (email/password without corporate accounts), No login required after API key generation

Competitors

Other products that read as similar to this one — 394 launches clear the similarity bar, closest 8 shown.

Attention rank: #172 of 395 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 250 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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