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Navige

Cut AI agent costs and control runaway spending

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Navige uses Sufficiency Intelligence to cut AI agent costs while work runs. It sends suitable requests to smaller models, caches repeated reads and trims bulky tool results. If unsure, it keeps your chosen model. Set budgets, catch runaway loops and approve sensitive actions. See costs and savings by job, with estimates clearly labelled. Watchtower is free forever. Preview changes before switching controls on.

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PH · launched Oct 15, 2026 · 251 upvotes (top 1%)

Similar launches

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Could you build this?

Partial The proxy, budgets, caching, and loop detection are buildable, but the core claim of safely routing requests to smaller models requires a trained or validated routing model that vibe coding alone cannot produce.

What it would actually take: A real version is an LLM gateway proxy (OpenAI/Anthropic-compatible) with usage metering, response caching, and tool-result trimming. The hard piece is the 'sufficiency' classifier that decides when a cheaper model is good enough without hurting quality, which needs labeled evaluation data, benchmarking across models, and ML evaluation expertise. Reliability at proxy scale adds infrastructure work.

Competitors

Other products that read as similar to this one : 135 launches clear the similarity bar, closest 8 shown.

Attention rank: #2 of 136 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 349 days after the earliest competitor.

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