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Comment by dtnewman

12 hours ago

This is what inspired me to build my new CLI tool, Burn, Baby, Burn (https://news.ycombinator.com/item?id=48151287

Just sent it to some developers who could really benefit from this! Please let us know when you have Codex and Gemini versions ready to rumble.

  • Sorry, it will be a while. We're currently building out enterprise features like SSO/SAML support, role based burn access, and a carbon offset marketplace. As you can imagine, we're burning a lot of tokens to get these out, but actual productivity isn't up as much as you'd think.

  • I want a in-browser Gemini version. For some reason my company doesn't count Gemini CLI use. I guess I'm supposed to copy code between my browser and my editor.

any plans for a distributed deployment via cloudflare works. I'm not sure this thing is powerful enough for my use case.

  • Yeah, lots of enterprise features in the works, but first i need to raise money at a $1B+ valuation (this might seem high for a project that started 4 hours ago, but it's actually very low for the project that will soon be the #1 consumer of tokens on the planet)

    • recommend you extrapolate your value based on the token spend rates of FAANG; if you can spend 10x FAANG, then you should get atleast 10x valuation. godspeed.

Only problem with this is that outcome metrics are still jira storypoints. Burning huge number of token while not improving the velocity is going to get you fired.

  • If we had a way of measuring velocity, we'd already be using that instead of tokens.

    • We had a way of measuring velocity, but who cares about estimating stories when we could be spinning up more agents? Burn a bunch of tokens and those stories will be DONE before you could even find your planning poker cards!

      3 replies →

Won't the company audit the requests to AI and see you're sending a bunch of BS?

  • > Won't the company audit the requests to AI and see you're sending a bunch of BS?

    Shouldn't be too hard to game. Version 2 uses the M365 MCP server to load up your email and iterate over all the messages, summarizing them over an over.