GenDB: The Next Generation of Query Processing -- Synthesized, Not Engineered | ScienceToStartup | ScienceToStartup

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References (39)

[1]

SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks

2026Xiangyi Li, Wenbo Chen et al.

[2]

Are LLMs Ready for TOON? Benchmarking Structural Correctness-Sustainability Trade-offs in Novel Structured Output Formats

2026E. Masciari, Vincenzo Moscato et al.

[3]

SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer

Founder's Pitch

"GenDB leverages LLMs to dynamically generate optimized query execution code, outperforming traditional data query engines."

Database Query Processing•Score: 7•View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

Quick Build

3/4 signals

7.5

Series A Potential

3/4 signals

7.5

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This research addresses critical challenges in its domain, enabling more effective and intelligent applications.

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GenDB: The Next Generation of Query Processing -- Synthesized, Not Engineered

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References (39)

Founder's Pitch

"GenDB leverages LLMs to dynamically generate optimized query execution code, outperforming traditional data query engines."

Commercial Viability Breakdown

🔭 Research Neighborhood

Why It Matters

Product Angle

Disruption

Product Opportunity

Author Intelligence

Research Author 1

Research Author 2

Research Author 3

GenDB: The Next Generation of Query Processing -- Synthesized, Not Engineered

BUILDER'S SANDBOX

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References (39)

Founder's Pitch

"GenDB leverages LLMs to dynamically generate optimized query execution code, outperforming traditional data query engines."

Commercial Viability Breakdown

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