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Papaya - Continuous Optimization for your AI agents

Papaya finds what's hurting your agent's quality, cost, and latency, and fixes it for you.

Details

External ID
115486
Source
YC
Company
Papaya
Product
Papaya - Continuous Optimization for your AI agents
Website domain
papaya.fyi
Launched
Sept. 16, 2026
Cohort
Fall 2026
Upvotes
18
Upvotes percentile
0.7604166666666666
Tags
AIOps, B2B, Enterprise Software, Infrastructure, AI
Fetched at
Oct. 1, 2026, 1 a.m.
Updated at
Oct. 1, 2026, 1 a.m.

Enrichment

Theme
healthcare operations and clinical workflows
Vertical
Horizontal
Function
Observability & eval
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
continuous optimization and debugging for ai agents
Manually corrected
False

Could you build this?

Partial Creating a dashboard and prompt/eval framework is doable, but continuously optimizing complex multi-step agent graphs across latency, cost, and trace evaluations requires sophisticated distributed trace collection and automated prompt/scaffolding search algorithms.

What it would actually take: Requires an OpenTelemetry-compatible tracing collector at high throughput, an automated eval engine running LLM-as-a-judge heuristics across execution trees, and DSPy/MIPRO-style iterative optimization algorithms that rewrite prompts and route agent tools dynamically based on loss functions.

Competitors

Other products that read as similar to this one — 24 launches clear the similarity bar, closest 8 shown.

Attention rank: #9 of 25 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 315 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a observability & eval tool for Media & entertainment yet.