Alternatives
Products that do what Fusebox does
Spend-ceiling alerts for solo OpenAI API users
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OSS IDE for controlling AI coding agents with built in loops
Jul 2026
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Hello Folks, I am an indie developer, For the last 5 months I was freelancing by building GPT-powered chatbots. One of the challenges I faced was not having visibility into my OpenAI costs. This is why I have built a dashboard to get a complete breakdown of my OpenAI API usage through network calls from OpenAI. Please give it a try & help with feedback on how I can further improve the product,which can really add value and save some money. Note: 1)I found this API through the network logs of the billing screen. 2)The tool stores the OpenAI Key locally on the browser.
2023 · puddl.io
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Hi! My OpenAI costs started going up recently and I hated how I couldn't figure out which model was costing me more? The OpenAI usage page (https://platform.openai.com/account/usage) gives a nice overall breakdown, but it doesn't go into detail about cost / model, token usage, and # requests. So I reverse engineered their API to make a better dashboard, and then made it free to use. Try it out and let me know what you think. Also please tell me what other features you wish existed here https://platform.openai.com/account/usage but doesn't yet.
2023 · llm.report
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Every Ai project needs the same infra - API keys, providers SDKs, retry logic, cost tracking. it should be infra layer. Aurora is a Go gateway that handles that layer, ~15MB binary, no dependencies. It proxies requests to OpenaAI, Anthropic, Gemini etc, and can convert between formats - use the OpenAi SDK and Aurora translates to Anthropic's wire format automatically. No format conversion code in backend. It helps: - track costs per customer/team - switch models and providers without changing code - debug requests and responses flows more easily - reduce costs with exact and semantic…
Aug 2026 · github.com
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Hey HN, I’m a solopreneur and have been in the SaaS space for the past 3 years. My last 3 startups failed, and a common challenge in all of them was figuring out how to reach my audience. Recently I started with cold outreach (its a struggle, since I dont have much experience with marketing). I am finding leads mainly using exa.ai websets (web vector search, extremelly good for multiple use cases, recommend checking them out) and then sending them through smartlead. I ran the campaign for the past 30 days and 12-15% emails always bounced. This wasted my email credits & chances of reaching…
2025 · verifyemailai.com
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Hi hacker news, My name is Dillion and I'm the creator of llm.report. A few months ago, I was frustrated by the lack of observability into the OpenAI API. All of us are left in the dark about API performance, latency, cost calculation, cost breakdown, and more. I just wanted to know more about how my AI app is performing in production and make data-driven decisions to improve the product. So I ended up just building it myself. There are three parts to the platform: 1. OpenAI API Dashboard (no-code) - Enter your OpenAI key and get access to detailed insights straight from the OpenAI API…
2023 · github.com
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Hi HN! We love the "backend-less" stack: Stripe for payments, Supabase for data, Clerk for auth. But the moment we add AI features, we're forced to spin up a backend to hide API keys, implement per-user token-based rate limits and graceful degradation, etc. So we built Airbolt. What it does: Drop in our SDK and start making OpenAI calls directly from your frontend. Your keys are AES-256-GCM encrypted on our servers, never exposed to the client. We provide token-based per-user rate limits and origin allow lists to address inference abuse. Short-lived JWTs and bring-your-own-auth are coming…
Sep 2025 · airbolt.ai
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LLM observability is an absolute must-have for anyone running something in prod (or prod-like). While all the observability startups are great, you're essentially sending all your OpenAI usage history - prompts, generations, chats - to a random third party. So this script deploys a basic proxy in your Azure account, catches all incoming OpenAI requests, stores logs in your own resource group, and comes with visualizations premade (charts, timelines, chat history, cost estimation, etc). Thanks for any thoughts and feedback!
2023 · github.com
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Hello HN, I'm Bijan, a software developer and the creator of Sunnybox (https://sunnybox.io). I developed Sunnybox to make email integrations more straightforward for developers, especially in terms of interacting with IMAP servers. Sunnybox is an Email API that offers: - Easy integration with IMAP accounts. - Webhooks for real-time email notifications. -JSON:API format responses (https://jsonapi.org) for better standardization. Built using Ruby on Rails, Sunnybox is designed to offer a powerful yet easy-to-use solution for developers managing email systems. I'd really…
2023 · sunnybox.io
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Hi HN, I built MailCat because my AI agents kept getting stuck at "please verify your email." The key insight: if your AI agent can read documentation, it can set itself up. Just paste this into Claude Code, OpenClaw, or any AI agent: "Read https://mailcat.ai/skill.md and set up a MailCat mailbox for yourself. Save the token securely." That's it. Your agent reads the skill.md, creates a mailbox via API, and handles email verification autonomously from there. What it does: - Instant mailbox creation via API - Verification codes auto-extracted from emails - 1-hour retention…
Feb 2026 · github.com
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