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Nonprofit ops
Tracks prototype teams, evidence, challenge criteria, funders, and welfare outcomes.
In build
App status
In build
Access
Nonprofit ops
App field
What makes it useful
The app is useful when the people, evidence, action, and follow-up are clear enough for someone to move without a private explanation from the Rhiz team.
Useful inputs
The people this should help first
The outcome that would make the app worth using
Current blockers, manual work, or missed follow-through
Opportunity pages, RFP links, watchlists, or source feeds
App flow
The app starts with a concrete need, turns it into a usable next move, and keeps the useful result close enough to reuse.
Capture need
Map stakeholders
Assign owner
Route next action
Record outcome
What gets better
Who needs it first
Requests show which animal welfare funders and challenge operators need the first working loop.
Improves: A tighter request path for Humane fish slaughter prototype challenge tracker, with the next owner and outcome visible.
Where people get stuck
Completed and blocked actions show which step is confusing, slow, or missing proof.
Improves: One clearer checklist item, prompt, handoff, or follow-up reminder inside the app.
What becomes reusable
Useful next move patterns strengthen Evaluation workbench.
Improves: A marketplace primitive that can improve related apps instead of staying trapped in one request.
How Rhiz helps
Run benchmarks, rubrics, scorecards, model tests, readiness checks, and reviewer decisions with provenance.
Scout problems, teams, technologies, funders, prize criteria, readiness, and coalition paths.
Build faster
Rhiz starts from proven open-source patterns where they fit, then wires the trust, access, and follow-through layer around the people using the app.
Challenge scouting
Challenge page monitoring and diff-based opportunity detection.
integrateEvaluation workbench
Standard language-model benchmark task execution.
integrateEvaluation workbench
LLM app evaluation, red-team tests, and comparison workflows.
integrateEvaluation workbench
Large language model evaluation tasks, scorers, solvers, and logs.
integrateChallenge scouting
Portfolio, milestone, and challenge project tracking patterns.
studyCompounds with
Related apps share primitives, outcomes, or operating lanes, so useful signal from one request can strengthen the next surface instead of disappearing into a separate backlog.
Challenge scouting + Evaluation workbench
Shares Challenge scouting and Evaluation workbench.
In buildChallenge scouting + Evaluation workbench
Shares Challenge scouting and Evaluation workbench.
In buildEvaluation workbench
Shares Evaluation workbench.
In buildEvaluation workbench
Shares Evaluation workbench.
In build