Do not bill the model for the install log

Strip the terminal noise before a coding agent reads a tool result, and show what you kept.

Category
Developer tools
Who it is for
A developer who can see the trace of a coding agent and is tired of paying to read logs.
Possible model
Open source
Difficulty
Easy
Inspired by
tokenjuice · tokenjuice
Original launch
Watch the launch · Oct 6, 2026

Difficulty is an editorial estimate of technical and operational complexity, not a score.

Startup idea analysis by Startup Ideas. Last reviewed Oct 7, 2026. How we read a launch.

The startup idea

Brucky's post says a coding agent spends more tokens reading install logs than writing code. tokenjuice is open source and strips that noise before it hits the context. He says he ran it on a plain npm install and git status, and 85% of what the agent would have read was noise. The install he publishes is npm install -g tokenjuice, then tokenjuice install claude-code. He says it also works with Codex, Cursor, Gemini CLI, and about 100 other agents. The 85% is one run he is reporting. The 'about 100' is his claim. A reply links the GitHub repo. He also points at another agent's $0.0036 bill as the reason this matters. That bill is not tokenjuice's price, and it is not this page's measurement.

The opportunity is the filter in front of a tool result, for the agent the developer already uses. A cheaper model does not help if the prompt is an install log. The product is a before and after the developer can see, on commands they actually run, with a switch to put the raw output back.

Do not sell a new agent. If the filter hides a vulnerability line or a failing test, it is worse than the noise.

The problem

Agents spend the context window on install logs, cache lines, and help text that are not the answer.

Who would pay for this?

Primary
A developer who can see the trace of a coding agent and is tired of paying to read logs.
Secondary
A team that wants one policy for what tool output is allowed into the context.
Early adopter
Your own npm install and your own git status.

How could it make money?

Possible models. Nothing here is a claim about what tokenjuice charges.

  • The post ships it as open source. Do not invent a price.
  • A team plan is only real if someone wants a shared rule for what gets dropped.
  • Savings on the model bill are the pitch. Measure them on your runs. Do not quote someone else's $0.0036.

What would the MVP look like?

  1. One agent.
  2. Two commands you already run.
  3. A count of tokens before and after.
  4. The raw output one click away.
  5. Nothing dropped that contains an error or a secret, until you have a rule for those.

How to validate the idea

  • Run it on the next ten tool calls in a real task. Read what it cut.
  • If it cuts the line you needed, the product is wrong even if the percentage looks good.
  • If the agent still finishes the task, keep a week of before-and-after token counts. That page is the sales page.

How to differentiate

  • Sit in front of the agent the user has. Do not ask them to switch.
  • Show the cut. A silent filter will not be trusted.
  • Start with two commands, not a hundred agents.
  • Errors stay. Decorations go.

Why this could be interesting now

Tool traces are now long enough to dominate the bill, and developers can see the trace. The tokenjuice post is one public filter for that, measured on a single install and a single git status.

Original product launch

This launch is inspiration and evidence that someone shipped, not a partnership. The idea above is our reading of the broader opportunity. tokenjuice did not write it.

Product
tokenjuice
Company
tokenjuice
Film
tokenjuice, strip the noise before the model reads it
Posted
Oct 6, 2026 · 0:18
Open original post

Product that inspired this idea

An open-source filter that strips terminal noise before it reaches a coding agent. The post says one npm install and one git status were 85% noise.

Posted by @danikkk_wqs. Watch the original launch. No separate product site is listed unless the post itself is the source.

  • agents
  • context

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