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70점수
HN · productivity
Freemium
Build

Consumption vs. Action Analytics Tracker

A desktop or browser tracker that measures the ratio of time spent consuming 'advice' (videos, blogs, forums) versus time spent in deep-work applications (IDE, writing software, design tools).

증가 +500%5개 채널30일 언급 추세: latest 1, peak 4, 30-day series
Reddit에서 보기
발견 2026년 6월 3일

이것이 중요한 이유

You sit down to start a project, but decide to watch a quick video on the optimal framework to use. Three hours later, you are exhausted from digesting conflicting advice from gurus, and your actual project hasn't advanced a single inch. You mistake preparing to work with doing the work. You need an objective mirror that interrupts your endless scrolling and bluntly shows you the severe imbalance between your passive consumption and your active creation.

  • · Freelancers, creators, and remote workers trying to break out of tutorial hell and analysis paralysis.을(를) 위해 제작되었습니다.
  • · 가장 유력한 수익화 모델: Freemium.

고충 · 내러티브

You sit down to start a project, but decide to watch a quick video on the optimal framework to use. Three hours later, you are exhausted from digesting conflicting advice from gurus, and your actual project hasn't advanced a single inch. You mistake preparing to work with doing the work. You need an objective mirror that interrupts your endless scrolling and bluntly shows you the severe imbalance between your passive consumption and your active creation.

점수 세부

고통 강도9/10
지불 의향7/10
구축 용이성5/10
지속가능성6/10

시장 신호

30일 언급 추세최고치: 4
Sparkline: latest 1, peak 4, 30-day series
적용 채널
smallbusinessEntrepreneurproductivityfront_pageindie hacker

시장 진출 전략

정확한 대상 사용자

Indie hackers, junior developers in 'tutorial hell', and solo founders struggling with shiny object syndrome.

추정 사용자 수

~500K early-stage tech workers and digital creators.

주요 획득 채널

Product Hunt and productivity-focused YouTube sponsorships.

가격 기준점

$39 one-time lifetime license

첫 번째 마일스톤

100 paid lifetime deals within 60 days of launch.

MVP 범위 · 1~2주

1주차
  • Decide on platform: Build a desktop app (Electron/Tauri) to track active window titles.
  • Implement basic tracking logic that logs active application time to a local SQLite database.
  • Create a simple classification system (e.g., VS Code = 'Doing', Chrome-YouTube = 'Learning').
  • Build a basic UI displaying the daily pie chart of 'Doing' vs 'Learning'.
  • Ensure data is strictly kept local to address immediate privacy concerns.
2주차
  • Refine tracking for browsers (via a companion extension) to distinguish a tutorial site from a web app like Figma.
  • Implement a notification system that triggers a warning when consumption exceeds a certain threshold without action.
  • Create a settings page allowing users to manually classify ambiguous apps or domains.
  • Set up a simple landing page with a Stripe checkout link.
  • Package the installer for Windows and Mac for beta testing.
MVP 기능: Categorization of 'learning' apps vs 'doing' apps · Real-time ratio dashboard (e.g., 'You spent 3 hours reading how to code, and 10 minutes coding') · Gentle nudges / popups when the consumption ratio gets too high · Local-only data storage for privacy

차별화

기존 솔루션
NotionSafari Reading List
당사의 접근법
Current tools optimize for capture speed. There is a gap for tools that introduce 'productive friction'—forcing users to process, apply, or discard information.

실패 가능 요인

자가 반박 — 가장 중요한 신뢰 신호

  1. 1The subjective nature of 'work' vs 'learning' (e.g., reading API docs is both) makes accurate tracking frustrating.
  2. 2Users may not want a tool that acts like an overbearing manager pointing out their flaws.
  3. 3OS-level permissions for screen time tracking are becoming increasingly restricted and hard to maintain.

근거 요약

AI가 이 인사이트를 합성한 방법 — 직접 인용 없음

Many participants resonated with the metaphor of endlessly refining tools without ever doing the actual labor. They reported profound mental fatigue from constantly absorbing advice, noting that optimizing workflows often devolves into a form of procrastination that prevents actual execution.

1 1개 게시물 분석5 5개 채널AI · AI 합성 · 직접 인용 없음

액션 플랜

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권장 다음 단계

개발 시작

강한 수요 신호 감지. 실제 고통과 지불 의지 확인 — MVP 개발을 시작하세요.

랜딩 페이지 카피 키트

실제 Reddit 댓글 기반의 바로 사용 가능한 문구 — 그대로 붙여넣기 가능합니다

헤드라인

Consumption vs. Action Analytics Tracker

서브 헤드라인

A desktop or browser tracker that measures the ratio of time spent consuming 'advice' (videos, blogs, forums) versus time spent in deep-work applications (IDE, writing software, design tools).

대상 사용자

대상: Freelancers, creators, and remote workers trying to break out of tutorial hell and analysis paralysis.

기능 목록

✓ Categorization of 'learning' apps vs 'doing' apps ✓ Real-time ratio dashboard (e.g., 'You spent 3 hours reading how to code, and 10 minutes coding') ✓ Gentle nudges / popups when the consumption ratio gets too high ✓ Local-only data storage for privacy

어디서 검증할까요

r/HN · productivity에 랜딩 페이지 링크를 공유하세요 — 바로 이 고통이 발견된 곳입니다.

회원가입하고 전체 심층 분석을 확인하세요

GTM, MVP 범위, 실패 가능성, ActionPlan 카피 키트. 무료 회원가입 시 월 10회의 상세 조회가 제공됩니다.

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자주 묻는 질문

누가 이 페인 포인트를 느끼나요?
Freelancers, creators, and remote workers trying to break out of tutorial hell and analysis paralysis.
이것이 실제 기회인가요?
이 기회는 Pain Spotter의 종합 지표(페인 포인트 강도, 지불 의사, 기술적 실현 가능성 및 지속 가능성)에서 70/100점을 받았습니다. 엔지니어링 시간을 투자하기 전에 추가로 검증하세요.
어떻게 검증해야 하나요?
타겟 고객과 5번의 고객 발굴 대화를 진행하고, 대기자 명단이 있는 랜딩 페이지를 게시하며, 제품을 만들기 전에 연결된 출처 게시물에서 최근 활동을 확인하세요.