| What it does | From Requirements to Code. Verified.
| AI job application autofill that remembers your answers
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| Stage | Not given
| MVP
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| Founded | Not given
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| Based in | CY
| IN
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| Pricing model | Not given
| Freemium
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| Pricing | Startup: Free for up to 3 users and 3 projects. Cloud Starter: $9 per user/month with unlimited users and projects. Cloud Pro: $19 per user/month with unlimited users, projects, 1,000 included AI credits per licensed user per month, and priority support. Self-hosted: Starting at $3,000 per instance/
| Pro is free during early access. Paid plans will be optional and details will be shared before early access ends.
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| Key features | - Specification Management: Manage connected requirements, data entities, APIs, interfaces, wireframes, and test cases in a versioned product model with traceable relations and branch-aware revisions
- Change Management: Define each product change through a Change Request that connects goal, affected specifications, project branch, implementation impact, and linked issue
- Architecture & Software Units Blueprints: Define subsystem architecture and software unit blueprints with implementation rules, responsibilities, dependencies, and file boundaries linked to product sp
- AI Assistants: AI Analyst, AI Test Designer, AI Architect, and AI Product Expert for refining specifications, designing tests, developing architecture, and reviewing implementation
- MCP for AI Coding Agents: Give coding agents branch-aware specifications, architecture guidance, software units, file traces, and Change Request context through MCP
- Specification and Code Alignment Verification: Check that code matches specifications and follows architecture rules as the system evolves
- Test Management: Organize test cases, test runs, execution, and result history
- MCP for QA Agents: Give QA agents prepared test runs, cases, steps, and expected outcomes through MCP to record execution results
| - Autofill job application forms from resume and saved answers
- Super Context professional profile combining resumes, projects, skills, and saved answers
- AI-drafted responses based on job description and profile
- Tailored resumes and cover letters for each role
- Application tracker to organize and track submissions
- Automatic recognition of 21 ATS platforms including Greenhouse and Lever
- Manual activation for employer-owned career pages
- Tone adjustment for AI-generated answers
- Human review required before submission
- Flags uncertain fields for review
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| What makes it different | - Preserves product context across tasks, agents, and code changes through a structured, verified product model
- Reduces handoffs and coordination by delegating whole features with connected specifications and implementation scope
- Prevents architecture drift by connecting implementation with subsystem architecture rules, unit guidelines, and component responsibilities
- Built for complex products where a single feature touches connected data, APIs, interfaces, and business rules across multiple repositories and systems
- Keeps product model current as specifications and implementation change using AI assistance and team review
| - Never auto-submits applications—you control every submission
- Learns from your saved answers to reduce retyping across applications
- Captures work experience beyond your resume through profile conversations
- Generates role-specific responses by matching your experience to job requirements
- Excludes sensitive fields like passwords, CAPTCHAs, and payment details
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 28 ● no change since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 18 | 11 |
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| Citation Flow (Majestic) | 34 | 21 |
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| Referring domains (Majestic) | 68 | 77 |
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Reqode
Jobsistant