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Papr – Predictive Memory for AI (Ranked #1 on Stanford's Benchmark)

Show HN: Intent vectors for AI search and knowledge graphs for AI analytics

Papr – Predictive Memory for AI (Ranked #1 on Stanford's Benchmark) is active in the show hn launch space.

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Hey all, I'm one of the founders at Papr.We started building an AI project manager. Users needed to search for context about projects, and discover insights like open tasks holding up a launch.Vector search was terrible at #1 (couldn't connect code, marketing and PR that are for the same project). Knowledge graphs were too slow for #1, but perfect for structured relationships, great for UIs.Then we started talking to other teams building AI agents - we realized everyone was hitting the exact same two problems.So we pivoted to build Papr — a unified memory layer that combines: - Intent vectors: Fast goal-oriented search for conversational AI - Knowledge graph: Structured insights for analytic

Its activity falls under show hn launch; the profile below is assembled from public directory data.

It is recorded at the Show HN launch stage.

SectorShow HN launch
StageShow HN launch

Website: platform.papr.ai

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