How much is Know what AI costs, and what that money produced.?

Know what AI costs, and what that money produced. is listed for sale at $9,453 USD.

What are Know what AI costs, and what that money produced.'s current metrics?

Monthly visitors: Pre-launch. Monthly revenue: Pre-revenue.

Know what AI costs, and what that money produced. - Sell Project

Listed October 6, 2026

About Know what AI costs, and what that money produced.

Open-source AI economics control plane for coding agents and LLM applications.

BurnLens is a production-ready AI Economics & FinOps project built for developers and engineering teams working with coding agents and LLM applications. Most AI cost tools stop at provider bills and token totals. BurnLens is designed to connect spend to the work that created it: repository, team, customer, agent, workflow, model, tool usage, retries and accepted outcomes. A differentiated use case is coding-agent economics: analyzing AI coding spend by repository and relating it to engineering outcomes such as merged pull requests. Included Subject to final transferability verification: burnlens.app domain BurnLens brand/goodwill hosted cloud product assets official repository/project stewardship where transferable seller-owned IP rights package/release stewardship where transferable technical documentation architecture and deployment assets roadmap/research marketing assets 14-day bounded transition support Technology Python, FastAPI, SQLAlchemy, PostgreSQL/asyncpg, Next.js, React, TypeScript, Playwright, Vitest, Paddle and Vercel. Product capabilities open-source CLI/proxy multi-provider AI cost measurement coding-agent cost analysis cost by repository / agent / workflow accepted-outcome / merged-PR economics retry and tool-waste analysis budget alerts and hard controls hosted dashboards pricing-confidence / attribution concepts projected vs verified savings concepts Commercial status Pre-revenue / no paying customers The project has been engineering-led. Commercial distribution did not receive the same dedicated founder effort, and I am now consolidating focus rather than continuing the GTM phase personally. Ideal buyer AI/LLM infrastructure founder; developer-tools company; FinOps product; AI observability platform; LLM gateway; agent platform; technical operator wanting a substantial AI SaaS foundation. Open-source disclosure BurnLens has public Apache 2.0 releases. This sale is for the BurnLens project/business assets and seller-owned rights. Existing open-source rights remain valid. Price $9,500 negotiable. Metrics Monthly visitors: enter actual verified band. Monthly revenue: pre-revenue / $0 Users: 0

Project details

Website: https://burnlens.app/

Next step: BurnLens has several clear paths for further development and commercialization.The strongest opportunity is to position it as the AI economics layer for engineering teams using coding agents and LLM applications. A buyer could focus specifically on Claude Code, Codex, Cursor and other coding-agent workflows and provide engineering managers with cost by repository, agent, workflow and accepted engineering outcome.Additional opportunities include:<ol><li data-list="bullet">Expand enterprise AI FinOps with team, project, customer and cost-center chargeback/showback.</li><li data-list="bullet">Build deeper integrations with LLM gateways, observability platforms and FinOps products.</li><li data-list="bullet">Expand coding-agent integrations and automatically calculate cost per merged pull request or other engineering outcomes.</li><li data-list="bullet">Develop stronger retry, tool-loop and inefficient-agent detection.</li><li data-list="bullet">Expand budget policies and pre-call spend controls to prevent runaway AI usage before costs occur.</li><li data-list="bullet">Develop model-routing recommendations based on task complexity, cost and historical outcome quality.</li><li data-list="bullet">Expand verified-savings functionality so teams can measure whether optimization recommendations actually reduce costs.</li><li data-list="bullet">Add enterprise governance capabilities including approvals, policy controls and auditability.</li><li data-list="bullet">Build integrations with GitHub, GitLab, CI/CD systems, cloud providers and engineering analytics platforms.</li><li data-list="bullet">Commercialize the hosted BurnLens Cloud service through team and enterprise subscription plans.</li><li data-list="bullet">Use the open-source CLI/project as a developer acquisition channel for the commercial SaaS product.</li></ol>A buyer with an existing audience in AI infrastructure, developer tooling, FinOps or observability could potentially commercialize BurnLens substantially faster than starting a comparable product from scratch.

For sale

Asking price: $9,453 USD

What's included

Domain name, Source code, All related data, All related design work

In addition to the selected assets, the sale can include the BurnLens hosted SaaS product assets, official project/repository stewardship where transferable, PyPI/package release stewardship where transferable, deployment and infrastructure configuration, CI/CD assets, technical and product documentation, architecture documentation, product roadmap and research, marketing materials, analytics/commercial history where transferable, and a bounded transition/handover period. BurnLens has public Apache 2.0 releases, so existing open-source rights remain valid. The transaction is for the BurnLens project/business assets and seller-owned rights rather than revoking rights already granted under the open-source license.

Reason for selling

BurnLens has primarily been an engineering-led project, and significant effort has gone into building the product, AI economics engine, coding-agent integrations, hosted platform, controls and documentation. I am now consolidating my time and focus around other projects and cannot give BurnLens the dedicated go-to-market, sales and distribution effort it needs. Rather than leave a functioning product underutilized, I would prefer to transfer it to a buyer who already has distribution or expertise in AI infrastructure, FinOps, developer tooling, LLM observability or agent platforms and can take the product further.

Project metrics

Average Monthly Visitors: Pre-launch

Average Monthly Revenue: Pre-revenue

Average Monthly Downloads: Pre-launch / New project