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Show HN

The Two Pillars: Mixer Mode and Meta-Software in the Reorganization of Software Work After AI GitHub - JaiCode08/teleport-env What 1,000+ Harness Experiments Taught Me About Self-Improving Agents Show HN: Liiists, a Markdown-first, iOS and CLI list app SwiperTab – Get this Extension for 🦊 Firefox (en-US) GitHub - kouhxp/fftext: Summarize, explain, fact-check, or translate any text, URL, or file. No GPU. No cloud. One command GitHub - sweetpad-dev/sweetpad: Develop Swift/iOS projects using VSCode GitHub - dogmaticdev/IRON: IRON a.k.a. Intermediate Representation Object Notation is a Interpreter/Database that is used to create Programming Languages. GitHub - sjhalani7/vaen: Package your AI coding harness into a portable .agent file, and share it across repos, teams, & the community without ever having to copy-paste instructions, skills, MCP config, or secrets. Show HN: Gandalf the Grader Show HN: Citadeld – replay any CI failure locally from a single file GitHub - tdortman/cuSBF: High-Performance GPU Super Bloom Filter coral-ai/claude-code-token-xray at main · Coral-Bricks-AI/coral-ai GitHub - ulyssestenn/funes: Funes is a Git-based framework for LLM-managed knowledge work: an AI Librarian ingests raw sources, builds an interlinked Markdown knowledge base, and uses it to produce cited reports, analyses, and other outputs. GitHub - ThatXliner/gah: Git Add Hunk, built for agents to use GitHub - harmont-dev/harmont-cli: Command-line client for the Harmont CI platform GitHub - brooksmcmillin/mcp-authflow: OAuth 2.0 Authorization Server framework for MCP servers GitHub - javaid-codes/audit-supply-chain-agents GitHub - amorey/gochan: A small library of common channel architectures for Go, inspired by Rust GitHub - arifozgun/OpenGem: Free, Open-Source AI API Gateway with Gemini, OpenAI & Anthropic Compatibility in 1 file GitHub - Pranesh950/BioPetals: 🌸 Run BIOxAI models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading GitHub - cnguyen14/bounty-doctor: Diagnose a GitHub bounty issue before you waste hours: detects honeypot scam repos, AI-bot attempt swarms, and stale contests. Show HN: CoreMCP – MCP Server for On-Prem DBs Show HN: KittyHTML – Render HTML/CSS as an inline image in your terminal GitHub - bingud/filemat: Web-based file manager Show HN: TruthLens – Free multi-signal deepfake image detector GitHub - apexlocal-jz/claude-usage-tray: Windows system-tray app showing your Claude Code rate-limit usage at a glance. Zero deps, ~300 lines of PowerShell. Cross-IDE (works regardless of VS Code, Cursor, plain terminal). Release v0.1.2.1 · kouhxp/yapsnap GitHub - noopolis/moltnet: Self-hostable chat network for AI agents. Pre-built bridges for Claude Code, Codex, and the Claws. Rooms, DMs, history. No Slack bots, no Matrix, no glue code. GitHub - tamerh/enju: Coordinating Humans, AI Agents, and Compute as Peers on a Shared Workflow Graph
Moduna | Decision Intelligence for AI Agents
Moduna · 2026-06-21 · via Show HN

Decision intelligence for production AI agents

See what your AI agent is missing.

Moduna turns production conversations into new business opportunities and exposes blind spots where your agent fails users, so product teams know what to build next.

Get started in minutes

One integration. A clearer product roadmap.

Instrument the agent once. Moduna continuously turns the conversations already happening in production into structured product evidence.

from moduna import Instruments, Moduna

moduna = Moduna()
moduna.init(
    {
        "app_name": "customer support",
        "framework": Instruments.LANGCHAIN,
        "api_key": "mod_...",
    }
)

Opportunity radar

Find demand before it becomes a feature request.

See emerging needs, repeated workarounds, and high-value conversations that point to the next workflow, feature, or revenue opportunity.

Emerging opportunity

Enterprise pricing handoff

+38%

Blind-spot detection

Catch failures that traces call successful.

Detect unresolved intents, clarification loops, missing handoffs, and confident answers that never actually help the user finish the job.

How it works

From production signal to the next decision.

  1. 01Connect

    Add Moduna to the agent stack you already run.

  2. 02Detect

    Cluster real conversations into goals, friction, and unmet demand.

  3. 03Prioritize

    Rank the blind spots and opportunities worth shipping next.

The intent dashboard for AI agent teams.

Moduna shows what users want, where the agent breaks, and what to improve next.

Why it matters: Refund-related conversations account for 18% of unresolved demand. Frustration is up 32% week over week, and 42% of these conversations fail to reach resolution.

1

Add guided refund escalation workflow

2

Improve billing dispute handling

3

Route enterprise pricing questions to sales earlier

IntentVolumeFailure RateImpactRecommended Agent Improvement
Refund escalation1,28442%HighAdd guided refund workflow
Billing dispute91236%HighImprove resolution policy
Subscription cancellation74029%MediumAdd retention flow
Enterprise pricing41825%HighRoute to sales earlier
Password recovery39018%MediumImprove authentication handoff

Book a DemoWatch Demo

Build from production truth

Your users already told you what to build next.

Moduna makes the signal visible, ranks what matters, and shows where your AI agent needs to improve.