Prismo
Stop LLM costs before they happen
Prismo launched on May 4, 2026 with 2 votes, #6,288 of 20,538 launches that month.
What it does
Prismo is a proxy that lets teams see and control LLM costs before they happen, with per-request visibility, smart routing, and budget enforcement. One base URL swap, no code changes
Prismo helps engineering teams control coding-agent spend before bad Claude Code, Codex, Cursor, or Copilot sessions get expensive.
Stop runaway Claude Code, Codex, Cursor, and Copilot sessions before loops, retries, and context blowups waste thousands. Set up the team dashboard where coding-agent spend, policies, repos, and alerts live. Engineers connect Claude Code, Codex, Cursor, or Copilot through a lightweight connector. Warn, alert, or pause supported sessions before loops and context blowups get expensive. Start in Prismo Cloud: invite engineers, define repos and workflows, and decide which spend policies should apply. 2 STEP 2 Engineers connect their agents The connector runs beside Claude Code, Codex, Cursor, or Copilot and sends safe aggregate metadata to the workspace. Prismo watches active sessions for…from getprismo.dev
Does a similar job
all alternatives →


Insight IT Solutions PrismGuard Jul 2026 · insightits.com · ▲5Prompt-injection firewall for prod LLM apps

Talos AuditorMay 2026 · talosfoundrix.com · ▲3AI infrastructure that reduces LLM costs significantly
More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video

Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com