FinishUP vs ARVX
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
FinishUP compared with ARVX
| Detail | 
FinishUP | 
ARVX |
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| What it does | Agents start, FinishUP checks
| AI that reads each person first, knows their normal, and remembers every pair
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | Not given
| US
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| Pricing model | Open source
| Paid
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| Pricing | Free
| 43¢ per Reading. First 3 Readings free. Prepaid balance, stops at zero.
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| Key features | - Records and checks work evidence
- Identifies remaining open tasks
- Local checks on your computer
- Optional AI-powered review
- Compatible with Codex, Claude Code, and Cursor
| - Reads individual email history and communication patterns
- Analyzes what has built up between two people over time
- Tracks changes against each person's normal baseline
- Provides color-coded feedback: green, yellow, red across five dimensions
- Predicts likely outcomes with recommended actions
- Includes contextual external factors when provided
- Sealed record system for privacy and historical continuity
- MCP server with Apache 2.0 open source client code
- llms.txt file for agent discovery and integration
- OpenAPI file for tool integration
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| What makes it different | - Open source with no licensing costs
- Local verification without sending data to external services
- Prevents AI agents from drifting or forgetting task progress
| - Reads each person individually first, through their own patterns, rather than generic scoring
- Remembers relationship history and shows what changed between readings
- Never returns scores, trait ratings or personality labels on named people
- Simple one-request API integration with no library installation needed
- Privacy-first: sealed records only ARVX can decrypt, keeps nothing about subjects
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 12 ▲ +3 (up) since last check |
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| Trust Flow (Majestic) | 0 | 4 |
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| Citation Flow (Majestic) | 0 | 28 |
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| Referring domains (Majestic) | 0 | 24 |
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5 details filled in for both companies.
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