withOrbit.io
Feature-level AI observability using real runtime data.
Feature-level AI observability using real runtime data.
This page is designed to help you find out whether withOrbit.io is good and if it is the right choice for you.
Orbit is an observability platform for AI-powered applications. It helps developers and teams track LLM costs, latency, and errors - broken down by feature, task, and customer.
Key Features:
Cost tracking by feature, not just monthly totals Latency and error monitoring per API call Task and customer attribution for agentic workflows One-line SDK integration (Node.js & Python) Works with OpenAI, Anthropic, and Gemini Real-time dashboard with usage analytics Use Cases:
Understand which AI features are most expensive Debug slow or failing LLM calls Attribute AI costs to specific customers or workflows Optimize prompts and reduce spend Pricing: Free tier available. No credit card required.
Listed in
Spaced Repetition Learning
Orbit uses spaced repetition algorithms to help users retain information more effectively over time, which is backed by cognitive science research.
Simple Prompt Creation
The platform allows users to quickly create memory prompts and flashcards without a steep learning curve, making it accessible for beginners.
Open Source Roots
Orbit originated from an open-source project, which appealed to developers and privacy-conscious users who valued transparency in how their data was handled.
Focus on Long-term Retention
Unlike simple note-taking apps, Orbit is specifically designed to help users remember information long-term rather than just store it.
Lightweight Interface
The tool has a clean, minimalist interface that reduces friction when reviewing and creating new learning prompts.
Built by a Senior PM who kept seeing the same problem: AI features that looked fine but quietly burned margin. No tool answered "what part of my product is expensive?" So I built one.
Next.js, TypeScript, Supabase, and Node.js/Python SDKs for client instrumentation.
Currently in public beta with early adopters. Free tier available.
Orbit focuses on feature-level cost attribution, not just API logs. While other tools show you traces and totals, Orbit answers "which feature is burning my budget?" with a one-line SDK integration.
Simpler setup (one line of code), built-in cost tracking by feature/task/customer out of the box, and native support for agentic workflows where a single user action triggers multiple LLM calls.
Developers, FinOps, Product managers, and engineering teams shipping AI-powered features in production. Especially those using OpenAI, Anthropic, or Gemini who need visibility into what's driving their LLM costs.
We have collected here some useful links to help you find out if withOrbit.io is good.
Check the traffic stats of withOrbit.io on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of withOrbit.io on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of withOrbit.io's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of withOrbit.io on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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Is withOrbit.io good? This is an informative page that will help you find out. Moreover, you can review and discuss withOrbit.io here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
