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# System prepended metadata

title: IPFS Impact Framework

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# IPFS Impact Framework

Considerations for scoring in 2023:
* Data onboarding opportunities
* Capital attraction

To add:
* Risk level
* Funnel stage?
* Green is covered, but a blue-focused factor maybe?

Test against:
* Existing implementation initiatives
* Existing integration initiatives
* Tools like a VS Code extension
* Education/docs/content initiatives

## Factors

* TM: total addressable market
  * The size of the target audience
  * eg: programming language usage estimations, or size of relevant user base of an integration, or MAU of end user product
  * This is going to need some work, a lot of apples to oranges possible, might need variations? Maybe need somthing else too like "market cap" for verticals...
  * Value
    * <1m
    * 1-10m
    * 10 - 100m
    * 100m - 500M
    * 500M - ♾️
* DM: developer multiplier
  * Developer adoption and retention - usage improvement, open new channel, develop key tool
  * Example: Project is a tool which eases development, lowering barriers for a specific group of users to onboard.
* UM: end user multiplier
  * Focus on end user adoption
  * Example: Brave, Anytype, Skiff
* RU: current user base (L/M/H)
  * Does the project have traction today in the given context
  * Example:
* PU: projected users in 12 months (L/M/H)
  * What is the expected number of users in one year
  * Example:
* CG: closes gap identified by core teams
  * Does the project close a long standing gap
  * Example: IPFS Search with content moderation and application level indexing, or Iroh with embedding
* CS: clear switch opportunity multiplier
  * An opportunity which, if achieved, displaces a competitor or web2 incumbent
  * Example: An S3 compatible API layer for Saturn
* PR: project revenue multiplier
  * Successful outcome is revenue generation for funded entity
  * Example: IPFS Search's paid custom indexing service
* ER: ecosystem revenue multiplier
  * Successful outcome creates revenue opportunity in ecosystem
  * Example: A Station module which results in earnings for L2 nodes
* CA: capital attraction multiplier
  * Successful outcome results in capital investment in funded entity or in ecosystem generally
  * Example: 

