Alternatives
Products that do what Griyo does
Fixed LLM costs for teams that ship
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The LLM providers are constantly adding new models and updating their API prices. Anyone building AI applications knows that these prices are very important to their bottom line. The only place I am aware of is going to these provider's individual website pages to check the price per token. To solve this inconvenience I spent a few hours making pricepertoken.com which has the latest model's up-to-date prices all in one place. Thinking about adding image models too especially since you have multiple options (fal, replicate) to use the same model and the prices are not always the same.
2025 · pricepertoken.com
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Looking for the cheapest place to deploy llama 3.1 model? Don't worry we have found it so you don't have to.
2024 · github.com
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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…
Jul 2026 · yolo-auto.com
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I started leaning in on AI heavily this year, as I wanted to get more done autonomously, but then my token usage climbed dramatically to the point where my weekly quota would run out before the end of the week, sometimes a couple of days into the week. I realised I had to do something about it else I'd have to double my spend. So I decided to start tracking my cost per task type. This revealed that a lot of my spend went to searches/scans or simple things like scouting tasks. I then decided to turn this into a simple CLI tool that can be used to read your OpenAI-style logs locally, and…
Jul 2026 · github.com
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Your digital home for bills, warranties, and product life.
Apr 2026 · holdmybill.com
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See which feature or agent loop is burning your LLM budget
Jun 2026 · tokencurb.vercel.app
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I run 3mins.news (https://3mins.news), an AI news aggregator built entirely on Cloudflare Workers. The backend has 10+ cron triggers running every few minutes: RSS fetching, article clustering, LLM calls, email delivery. The problem: Workers Paid Plan has hard monthly limits (10M requests, 1M KV writes, 1M queue ops, etc.). There's no built-in "pause when you hit the limit", CF just starts billing overages. KV writes cost $5/M over the cap, so a retry loop bug can get expensive fast. AWS has Budget Alerts, but those are passive notifications, by the time you read the email,…
Mar 2026
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Hey HN, A recurring problem we kept running into with billing systems was the human layer around them. Customers asking: “What’s my current balance?”“Which invoice is pending?”“Why did usage spike last week?”And the answer was usually someone digging through dashboards, exporting PDFs, or pasting screenshots. So we built a read-only customer billing portal inside Flexprice (open-source metering + billing infra). It gives customers visibility into: subscriptions and billing periodsprepaid wallet balances and credit transactionsinvoices (status, search, download)feature-level usage and cost…
Feb 2026 · flexprice.io
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AI-powered bill splitting. Scan receipts, split in seconds
Jan 2026
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Hey HN — I’m Adil from Katanemo (with Salman, Shuguang, and Meiyu) We previously shared an early version of this project as ArchGW. Based on customer feedback, the scope expanded from “LLM routing and model access” into something broader: delivery infrastructure for agentic applications. We renamed it to Plano and reworked the architecture accordingly. The problem On-the-ground AI practitioners will tell you that calling an LLM is not the hard part. The really hard part is delivering agentic applications to production quickly and reliably, then iterating without rewriting system code every…
Jan 2026 · github.com
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Upload your bill. AI finds overcharges & negotiates for you.
Jun 2026 · billnegotiator.vercel.app
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Hey HN! I'm the founder of Credyt (https://credyt.ai). If you're running an AI product that burns $0.50+ per interaction, you need to bill customers as usage happens, not at the end of the month. Otherwise you're a bank for your customers, and you'll run out of money before they do. Why invoice-based billing doesn't work for AI: Most usage-based billing tools (Stripe Billing, Orb, etc.) were built for SaaS. They meter usage all month, then send an invoice. That works fine when your COGS is 5%. It's a disaster when you're paying your AI vendor upfront for every request and your…
Jan 2026 · credyt.ai
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