Who needs it first
Requests show which early founders, accelerators, and product teams need the first working loop.
Improves: A tighter request path for Product-Market Fit Interview Analyzer, with the next owner and outcome visible.
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Founder OS
Records interviews, extracts pain points, scores urgency, and identifies customer patterns.
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
Documents, receipts, claims, source links, and open questions
Field notes, intake responses, feedback, and outcome updates
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 early founders, accelerators, and product teams need the first working loop.
Improves: A tighter request path for Product-Market Fit Interview Analyzer, 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
Impact proof patterns strengthen Proof ledger.
Improves: A marketplace primitive that can improve related apps instead of staying trapped in one request.
How Rhiz helps
Keep shipped work, evidence, receipts, outcomes, claims, source links, confidence, and change history together.
Collect field, frontline, patient, community, or reviewer signal and route it to the owner who can act.
Run benchmarks, rubrics, scorecards, model tests, readiness checks, and reviewer decisions with provenance.
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.
integrateFeedback loop
Form definitions, submissions, accounts, permissions, and field collection sync.
integrateFeedback loop
Humanitarian/social-good forms, APIs, reports, exports, and sharing settings.
integrateEvaluation workbench
LLM app evaluation, red-team tests, and comparison workflows.
integrateEvaluation workbench
Large language model evaluation tasks, scorers, solvers, and logs.
integrateProof ledger
Append-only, tamper-evident ledger patterns for receipts and claims.
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.
Proof ledger + Evaluation workbench
Shares Proof ledger and Evaluation workbench.
In buildProof ledger + Evaluation workbench
Shares Proof ledger and Evaluation workbench.
In buildFeedback loop + Evaluation workbench
Shares Feedback loop and Evaluation workbench.
In buildEvaluation workbench + Feedback loop
Shares Evaluation workbench and Feedback loop.
In build