InsAIts V2 – Real-time monitoring for multi-agent AI communication

Hacker News

Hi HN, I'm Cristian, an indie developer from Italy working on tools to make multi-agent AI safer and more debuggable. When agents talk to each other (CrewAI, LangGraph, AutoGen, custom setups), they quickly develop shorthand, lose context, invent jargon, and propagate hallucinations — all invisible to us. InsAIts is a lightweight Python SDK that adds observability in ~3 lines of code. V2 just shipped with: Anchor-aware detection (set the user's original query as context to reduce false positives) Forensic root-cause tracing + ASCII chain visualization Built-in domain dictionaries (finance, healthcare, kubernetes, ML, devops, quantum) Local (Ollama) decipher mode — translates agent jargon to human-readable (Cloud soon) Integrations: Slack alerts, Notion/Airtable export, LangGraph/CrewAI wrappers Privacy-first: local embeddings by default, nothing leaves your machine unless you opt into cloud decipher. Free tier works without an API key (local only). Also running limited lifetime deals for early supporters. Quick install: Bashpip install insa-its[full] Demos included: Live terminal dashboard Marketing team agent simulation (watch shorthand emerge in real time) GitHub: https://github.com/Nomadu27/InsAIts PyPI: https://pypi.org/project/insa-its/ Docs: https://insaitsapi-production.up.railway.app/docs Would love feedback — especially from anyone building agent crews or running multi-LLM systems in production. What’s your biggest pain point with agent observability? Thanks for checking it out! Cristian

Visit product View on Hacker NewsJan 26, 2026

Share card

Actual performance

1points

1comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: mac, agents, agent · Missing: macos, cursor, claude

85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: soon · Missing: plus, platform, intuitive

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: llama, io · Missing: https docs, excited, just released

28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: real time · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Grok 4.2 Beta 280%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Real-time multi-agent AI that debates itself to find truth.

Product Hunt+106Productivity

Rifft40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Debugger for multi-agent AI systems

Indie Hackers1ai

Aida | Multi-AI Orchestrator40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Multi-Agent AI platform that orchestrates real business work

Indie Hackers1ai

SidekickBar67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your new multi-agent AI sidekick

Product Hunt+163Productivity

LIA79%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open-source multi-agent AI assistant

Product Hunt

Find where multi-agent AI systems break before production44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find where multi-agent AI systems break before production

Hacker News2

OpenOrb – I built a transparent multi-agent AI tool43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OpenOrb – I built a transparent multi-agent AI tool

Hacker News1

Deliberon20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Multi-Agent AI Command Center

Indie Hackers1ai

Sellclaw32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sellclaw — Your Multi-Agent AI Personal Assistant for E-comm

Indie Hackers1$10,000/moai

Sellclaw16%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SellClaw — Your Multi-Agent AI Personal Assistant for E-comm

Indie Hackers

Browse all products Analyze your launch