Who needs it first
Requests show which founders, teams, and workforce programs need the first working loop.
Improves: A tighter request path for Skill Sprint Generator, with the next owner and outcome visible.
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Founder OS
Creates focused learning plans for sales, finance, AI, fundraising, and leadership.
In build
App status
In build
Access
Founder OS
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
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 workflow
Assign owner
Build checklist
Route exception
Update SOP
What gets better
Who needs it first
Requests show which founders, teams, and workforce programs need the first working loop.
Improves: A tighter request path for Skill Sprint Generator, 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.
Run events, fellowships, communities, campaigns, participant paths, and follow-through memory.
Create roles, screen candidates, onboard contractors, track deliverables, and preserve operating context.
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.
Evaluation 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.
integrateCommunity engine
Community discussions, moderation, member journeys, and public knowledge.
studyHiring and contractor ops
Candidate, employee, and customer feedback collection patterns.
studyHiring and contractor ops
ATS, HRM, project, task, and team collaboration object models.
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.
Hiring and contractor ops + Evaluation workbench
Shares Hiring and contractor ops and Evaluation workbench.
In buildCommunity engine
Shares Community engine.
AlphaCommunity engine
Shares Community engine.
In buildCommunity engine
Shares Community engine.
In build