HN Showcase
Back to browse
GitHub Repository

Market Signal Radar: AI Agent blueprint to detect Problem-Market Drift using OpenClaw, Node.js and Postgres.

6 starsJavaScript

Detecting problem–market drift with an OpenClaw agent

by thomasBln·Mar 6, 2026·1 point·0 comments
Visit ProjectView on HN

AI Analysis

●MidBold Bet

Problem-market drift detector via LLM signal clustering, but execution is early demo.

Strengths
  • •Multi-source signal aggregation (HN, Google News, X) captures real friction signals.
  • •OpenClaw framework provides clean agent architecture for extensibility.
  • •Telegram interface lowers friction vs. dashboards for asynchronous consumption.
Weaknesses
  • •No evidence of clustering accuracy or signal quality—hard to verify relevance.
  • •Blueprint stage: no production case studies or tuning guidance for real use.
Category
AI/ML
Target Audience

Product managers, founders, and marketers tracking real-time product-market alignment

Similar To

Mention · /Brex Signal · Trend Micro threat monitoring

Post Description

Hi HN,

A small pipeline that scans external discussions (HN, news, X), clusters problem narratives, and tracks frequency shifts over time.

It produces a daily Telegram digest highlighting emerging signals.

Repo contains architecture and implementation details.

Similar Projects