Evaluation is not decoration
We first understand the idea, founder context, and execution shape, then produce a tiered offer. Declines still come with feedback, not a blank answer.
First pass the evaluation gate to confirm it's worth doing; then our team takes over delivery, with rev-share aligning our outcome with yours. You watch your product grow from an idea into something usable.
Your background, idea, and interview evidence become an auditable evaluation instead of sending an agent straight to work.
After acceptance, our team works with you through the workspace, with progress, communication, and key decisions in one place.
Progress, messages, decision cards, and settlement entry points live in one workspace.
A mature company homepage quickly explains what the company does, who it is for, and what to do next. wishboard.ai anchors the page on three facts: an evaluation gate, delivery by our team, and a post-signing workspace.
We first understand the idea, founder context, and execution shape, then produce a tiered offer. Declines still come with feedback, not a blank answer.
The promise is not that a tool magically finishes the job. Our team takes over delivery and remains accountable for the result.
After you accept an offer, progress timeline, thread, KPIs, decision cards, and settlement entry points live in one product surface.
The homepage makes the path explicit: submit an idea, get evaluated, accept an offer, then work with our team. Each step stays inside the product boundaries already defined by the project.
Onboarding, memory supplements, and the idea page collect the context needed for evaluation.
The AI system asks evidence-based questions and scores the submission; high-tier or flagged cases enter human review.
The offer is indicative. Only after you accept does signing and formal collaboration begin.
The workspace shows progress, communication, key decisions, and settlement information.
Mature company sites do more than state a vision: they expose safety, support, and legal entry points. wishboard.ai already links legal, privacy, refund, cookie, and support pages in the footer; the homepage now states product boundaries and responsibilities up front.
AI-generated evaluation, interview, and offer content is labeled inside the product screens.
The public page explains the revenue-share direction only; exact percentages, fees, and terms are governed by signed documents after offer acceptance.
Before evaluation, you choose the data purposes you accept. Legal and data-rights entry points are available from the public footer.
A mature homepage helps visitors self-qualify. wishboard.ai is for founders willing to share real context, accept evaluation, and work with a long-running accountable team.
You can explain the target user, pain, constraints, and why you are the person to build it.
The evaluation is not flattery. It can name weak points and show what would improve the tier.
wishboard.ai's differentiation is delivery owned by our team, not unaccountable automation.
No. It evaluates startup ideas first, then selected collaborations are delivered by our team.
No. The evaluation and offer are indicative. Formal collaboration is governed by signed documents after acceptance.
Every accepted tier includes revenue share. The exact percentage, basis, fees, and other terms are governed by the signed agreement.
After acceptance and project activation, the workspace shows timeline, thread, decision cards, KPIs, and settlement entry points.
Start with onboarding, add your background and idea, then let wishboard.ai determine whether it should move into delivery.