How a Solo Founder Monitors 190 Competitors Automatically
The Asymmetry Problem
Notion, Evernote, Slack, Google — enterprise SaaS companies employ dedicated competitive intelligence teams. A solo founder tracking the same landscape manually would spend half the workday on research.
Jibun Kaisha monitors 190 competitors fully automatically. Here's the system design.
Target Selection
Direct Competitors (21) — Daily
The 21 products that functionally overlap with Jibun Kaisha:
notion, evernote, moneyforward, slack, chatwork, x,
animaworks, claude-code, codex, netkeiba, openclaw,
claude-cowork, jobcan, amazon, google, microsoft,
discord, line, facebook, liven, github
UI changes, pricing updates, and feature releases for these 21 are detected daily.
Indirect / Reference (169) — Weekly
Companies that influence the market without directly competing. AI startups, funded players, ecosystem signals. Weekly scan for major changes only.
Technical Architecture
GHA cron (competitor-monitoring) → daily 09:00 JST
↓
admin-hub:competitor.check
├→ Availability check per service (HTTP HEAD)
├→ RSS / news feed retrieval
├→ Summarize changes via Gemini 1.5 Flash
└→ Store in Supabase competitor_features table
Generate report → docs/competitor-reports/YYYY-MM-DD.md
Slack notification (significant changes only)
jp_strength Scoring
Each of 172 competitors receives a Japan market threat score:
UPDATE competitors SET jp_strength =
CASE
WHEN has_japanese_ui AND japan_user_base > 100000 THEN 'CRITICAL'
WHEN has_japanese_ui OR japan_user_base > 10000 THEN 'HIGH'
WHEN english_only AND enterprise_focus THEN 'MEDIUM'
ELSE 'LOW'
END;
Four levels: CRITICAL → HIGH → MEDIUM → LOW.
Examples:
- Notion → CRITICAL (full Japanese UI, massive Japanese user base)
- Evernote → HIGH (Japanese support, established user trust)
- Harvey AI → LOW (English-only, legal niche)
What Gets Monitored: 10 Feature Axes
Each competitor is evaluated on 10 dimensions:
| Axis | What it measures | Example signals |
|---|---|---|
| AI Integration | Depth of AI features | Notion AI, Slack GPT |
| Pricing | Plan changes, price moves | Increases, free tier cuts |
| Mobile UX | Mobile experience quality | PWA, native app redesigns |
| API/Integration | Third-party connectivity | Zapier, Make support count |
| Offline Support | Offline functionality | Local storage, sync |
| Privacy/Security | Data protection posture | E2E encryption, SOC2 |
| Japan Localization | Japanese market depth | UI, support, payment |
| B2B Features | Enterprise capabilities | Admin console, SSO |
| Data Export | Portability | Export formats |
| Performance | Speed and reliability | Lighthouse scores |
Detection Implementation
Availability Check
async function checkAvailability(url: string): Promise<CompetitorStatus> {
const start = Date.now();
try {
const res = await fetch(url, {
method: "HEAD",
signal: AbortSignal.timeout(5000),
});
return {
status: res.ok ? "up" : "degraded",
latency_ms: Date.now() - start,
http_status: res.status,
};
} catch {
return { status: "down", latency_ms: -1, http_status: 0 };
}
}
Change Detection
const diff = await gemini.generateContent({
contents: [{
parts: [{
text: `Previous: ${previousSnapshot}\nCurrent: ${currentSnapshot}\n\nSummarize significant changes in 3 points max. If no change, reply "no change".`,
}],
}],
});
const change = diff.response.text().trim();
if (change !== "no change") {
await saveChange(competitor, change);
await notifySlack(competitor, change);
}
What the System Actually Catches
Sample detections from April 2026:
| Competitor | Detected Change | Severity |
|---|---|---|
| Notion | AI features merged into Pro plan (was separate add-on) | CRITICAL |
| Slack | AI huddle summaries rolled out to all plans | HIGH |
| GitHub Copilot | Workspace feature adds multi-repo support | HIGH |
| Evernote | Mobile app redesign launched | MEDIUM |
| Chatwork | AI features added to enterprise tier | MEDIUM |
Manually monitoring this would take 5–10 hours per week. The system surfaces it daily at zero ongoing cost.
Report Format
# Competitor Monitor — 2026-04-26
## CRITICAL Changes
- **Notion**: AI pricing consolidated into Pro (impact: our differentiation shrinks)
## HIGH Changes
- **Slack**: AI huddle summaries → all plans (impact: communication feature gap narrows)
## Availability Summary
- All 21 direct competitors: UP (no incidents)
- Average response time: 342ms
## Recommended Actions
1. Update Jibun Kaisha value proposition against Notion's new AI pricing
2. Raise priority on AI meeting summary feature development
Why This Beats a Dedicated Team
Enterprise companies use headcount for competitive intelligence. Solo founders don't need to match that — they need to match the outcome (current market awareness) with different inputs (automation + AI).
The advantage isn't information volume — it's reaction speed. Updating your pricing page the day after a competitor raises theirs. Publishing a differentiation post the week a competitor ships a new feature. That speed is determined by system design, not team size.
Related Posts
- AI-Powered WBS Task Management
- Supabase Edge Functions + AI Cost Breakdown
- How to Learn 236 AI Tools Without Burning Out
Jibun Kaisha — integrating the best of 21 competitors into one life management app
Live: https://my-web-app-b67f4.web.app/
Top comments (0)