anotherbuilder

Companies are hemorrhaging money on inefficient AI usage without even realizing it.

After watching countless teams, and myself, struggle to manage ballooning AI costs across multiple platforms (juggling between billing portals, losing track of spending, getting surprised by bills), I decided to build.

After ~1 week, I launched (first launch) an MVP for AIBillingDashboard.com.

What I built:

A unified dashboard that tracks spending across all major AI providers (OpenAI, Claude, Gemini, Tavily, Pinecone, Make.com, n8n, HuggingFace, etc).

Cost comparison tools that show which models give best value for specific use cases

Usage analytics that identify cost-saving opportunities across your AI stack

Billing cycle tracking and payment alerts to avoid surprise charges

I'm essentially replacing the chaotic spreadsheets and custom scripts that I and teams use to track AI spending with something more simple / straightforward.

Additionally, I built this because while AI adoption is skyrocketing, cost management tools haven't really kept pace, is extremely siloed, and/or create new points of failure such as having usage/analytical requests sent out first to track usage before sending out the prompt for completion.

Would love feedback from the community and/or any AI power users out there!

Anyone else building tools for the AI ecosystem? What cost management challenges are you facing (if any)?

Simply put, we’re building LayerMarket, an online marketplace to buy and sell business assets, such as Datasets and IP, on top of Ethereum and Layer 2 networks (Arbitrum, Base, and Optimism).

We’ve made some exciting updates to the platform based on user feedback and market trends this summer.

Some of the key updates to review/test are: 1) New Payment Options: We've expanded our payment capabilities to include stablecoins. This addition provides users with more flexibility and stability in their transactions. 2) Enhanced Documentation: We've created a comprehensive "How to Use" guide, specifically designed for users new to L2 applications. This guide aims to make the onboarding process smoother and more accessible for all users. 3) Updated Testnet Contracts: We've deployed new smart contracts on our supported testnets (Arbitrum, Base, and Optimism). 4) Testnet Stablecoin Integration: In line with our new payment options, we've successfully integrated stablecoin functionality on our testnets. This allows users to test and familiarize themselves with stablecoin transactions in a risk-free environment. 5) Overall Documentation Updates: We've updated the copy throughout our documentation to reflect our niche focus on being a marketplace for business assets, to reflect updates to interfaces for specific smart contracts, and more.

Given we only started ~2 months ago (definitely could be buggy), we’d love to get a small group of people to review/test these updates and/or leave some thoughts on the updates. Thanks!

Great sources, thank you so much!