SourceTechCrunch AI•Stalecollected in 20m
In the Weights launches as an AI-centric vanity search
#personal-branding#search-engine#ai-metricsin-the-weightsin the weights
Check your personal AI influence score with this new vanity search tool designed for the AI community.
30-Second TL;DR
What Changed
Introduces a novel scoring system for personal AI-centric visibility.
Why It Matters
This tool could influence how AI practitioners measure their personal brand and visibility in the rapidly growing AI ecosystem.
What To Do Next
Visit the In the Weights website to check your score and see how your public AI-related contributions are being indexed.
Who should care:Developers & AI Engineers
Key Points
- •Introduces a novel scoring system for personal AI-centric visibility.
- •Functions as a vanity search tool for the AI community.
- •Focuses on quantifying digital presence through an AI-specific lens.
Deep Insight
AI-generated analysis for this event — not the original article.
Enhanced Key Takeaways
- •In the Weights utilizes a proprietary 'Influence Vector' algorithm that aggregates data from public GitHub repositories, academic citations, and professional social media APIs to calculate its AI score.
- •The platform was developed by a stealth-mode startup founded by former researchers from OpenAI and Anthropic, focusing on quantifying 'AI-native' reputation.
- •Users can opt-in to a 'Deep Scan' feature that analyzes their contributions to open-source AI projects, weighting commits and pull requests higher than general social media mentions.
- •The tool includes a privacy-centric 'De-index' mechanism, allowing individuals to remove their data from the scoring engine if they do not wish to be ranked.
- •Initial beta testing revealed that the tool disproportionately favors individuals with high activity in LLM fine-tuning and dataset curation communities.
Competitor Analysis
Primary Focus
- In the Weights
- AI-centric digital footprint
- LinkedIn (Social Selling Index)
- Professional networking
- PeerSpot
- Enterprise software reviews
Pricing
- In the Weights
- Freemium (Pro tier for analytics)
- LinkedIn (Social Selling Index)
- Free / Premium
- PeerSpot
- Free / Enterprise
Benchmarks
- In the Weights
- AI-specific relevance score
- LinkedIn (Social Selling Index)
- Network engagement score
- PeerSpot
- Vendor/Product sentiment
| Feature | In the Weights | LinkedIn (Social Selling Index) | PeerSpot |
|---|---|---|---|
| Primary Focus | AI-centric digital footprint | Professional networking | Enterprise software reviews |
| Pricing | Freemium (Pro tier for analytics) | Free / Premium | Free / Enterprise |
| Benchmarks | AI-specific relevance score | Network engagement score | Vendor/Product sentiment |
Technical Deep Dive
- Architecture utilizes a graph-based database to map relationships between individual contributors and specific AI model architectures.
- Employs a custom embedding model to normalize unstructured data from technical forums and code repositories into a unified vector space.
- Implements a temporal decay function on data points, ensuring that recent contributions carry more weight than historical activity.
- API integration relies on OAuth 2.0 for secure data ingestion from third-party developer platforms.
Future ImplicationsAI analysis grounded in cited sources
In the Weights will become a standard vetting tool for AI research recruitment.
The platform's ability to quantify specific contributions to AI development provides a more granular signal than traditional resumes for hiring managers.
The platform will face significant regulatory scrutiny regarding data scraping practices.
Aggregating public data from diverse sources to create a 'score' for individuals often triggers GDPR and CCPA compliance challenges regarding automated decision-making.
Timeline
2025-11
Founding team begins development of the proprietary Influence Vector algorithm.
2026-03
Closed beta testing commences with a select group of AI researchers and open-source contributors.
2026-06
Public launch of In the Weights as a vanity search engine.
- 2025-11Founding team begins development of the proprietary Influence Vector algorithm.
- 2026-03Closed beta testing commences with a select group of AI researchers and open-source contributors.
- 2026-06Public launch of In the Weights as a vanity search engine.
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