Proof of Usefulness Report

Seedify

Analysis completed on 1/29/2026

+42
Proof of Usefulness Score
You're In Business

The submission represents 'Seedify', a well-established Web3 launchpad, but the content provided is incoherent and heavily flagged. The description appears to be a copy-pasted job advertisement for an unrelated or internal AI autocompletion tool (referencing GPT-NeoX-20B and specific latency targets), rather than a description of the Seedify platform. Additionally, the traction claim 'most people have used my product' is demonstrably false and unprofessional. While the URL points to a high-value project with significant real-world market cap, the submission itself is of extremely low quality, containing red flags that severely penalize the score according to PoU methodology.

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Score Breakdown

Real World Utility+8.75
Audience Reach Impact+5.0
Technical Innovation+3.75
Evidence Of Traction+10.0
Market Timing Relevance+8.0
Functional Completeness+0.25
Subtotal+35.75
Usefulness Multiplierx1.18
Final Score+42

Project Details

Description
OpenAI has shown us how it's done. The first milestone over the next 6 months, is to train and optimize our language models, with a target of a \u0026lt;1000ms latency and \u0026gt;20% suggestion acceptance rate for a curated list of autocompletion scenarios.\n\nWe'll start with 20B open-source, pretrained GPT neox, but will go back and forth between much smaller models for validation. We have enough data (millions of documents) and compute (16xA100) for training.\n\nYou'll be on the core team that builds the pipelines for training, inference and evaluation. \n\nThe first few weeks can be joined remotely. In the longterm, we will also have US offices and up to 8 weeks p.a. of remote work. \n\nApply if \n- you have some experience with evaluating models, optimizing inference pipelines \n- and a very strong research or coding background.

Algorithm Insights

Market Position
Growing utility with room for optimization
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline