Developer Tools5 days ago
SuperCompress - Cut Your LLM Token Costs by 65%
Open-source prompt compression that reduces LLM token costs by compressing input before API calls.
@asgujjuasitgets · X
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Open-source prompt compression that reduces LLM token costs by compressing input before API calls.
@asgujjuasitgets · X
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
Use one API to access and switch between LLM providers while optimizing inference costs.
justin2025 · Product Hunt
Auriko Trading desk for LLM calls
Reduce AI agent token costs by 40-70% through real-time prompt compression and duplicate tool call detection.
@DeveloperL92487 · X
I built my first app in 60min And now I got $500 MRR in one month Check here if you are interested It’s a tool to reduce agent token consumption, speed up agent response, and clean up memory cache
Compress LLM prompts and docs to reduce token usage and API costs.
@marcusyul · X
THEY JUST GAVE AWAY 100 MILLION FREE TOKENS SO YOU CAN STOP BURNING THROUGH YOUR CLAUDE CODE BUDGET. if you code with AI you already know: the session fills up, starts failing, and on top of that you're overpaying there's a tool that fixes this: it shrinks the context before the model even sees it same model, same response, a fraction of the cost in a real session: from $154 to $43. a 72% drop and right now: → extend your Fable sessions in Claude Code → 100M free tokens to try it out you don't switch models you don't touch your code you just stop paying to repeat yourself link below ⬇️
Semantic caching reduces LLM token costs and latency for AI queries.
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]
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
View LLM API spending analytics by model and environment with optimization suggestions.
ATsimbalistov · HN
Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to
Tests LLM endpoints with adversarial cases and provides OWASP-mapped security audit reports.
@aryaan_sheth · X
- LLM security for small teams
Find the optimal combination of AI subscriptions that fits your budget and usage patterns.
@JCheng557 · X
COMBO-001 上线了。 这是一个 AI 订阅最优搭配器。 只需要 - 月预算 - 使用强度（限额触发频率） - 主要使用场景 - 需要哪些特殊能力（生图、视频、音频、OCR 等） 我就会给你最优的订阅组合（Claude、Grok、Cursor、GLM 等），并控制在预算范围内。 不再为新模型纠结，也不再为用不上的订阅买单。 试试看 → #100个网站 #AI工具 #AI订阅
Compare 700+ Azure VM prices across regions with real-time pricing data.
@honitec · X
做了一个每天自动刷新的模型定价 API 替代 LiteLLM，每天拉最新的推理定价 为什么需要「每天」？ 因为 AI 模型价格一周一变 3月 $8/M → 6 月 $3/M，半年跌了一半多 半年前到处喊 GPU 短缺 现在全员降价抢客户 估值故事讲的是稀缺 现实是价格比成本跌得快 这中间的落差，就是泡沫
Manage customers, log work, and send branded invoices for handyman businesses.
@serviceinvoices · X