name: intel description: Market intelligence in seconds. Research gaps, competitors, sentiment, pricing, trends, and pain points for any market or product. For builders who need business decisions, not just information. argument-hint: "[mode] [topic]" — modes: gaps, competitors, sentiment, pricing, trends, pain, full context: fork agent: Explore disable-model-invocation: true allowed-tools: WebSearch, Read, Write, AskUserQuestion

/intel — Market Intelligence in Seconds

Research any market, competitor, or product. Get actionable business intelligence with evidence.

Quick Start Examples

/intel gaps AI video editing /intel competitors Notion /intel sentiment Claude Code /intel pricing email marketing SaaS /intel trends no-code 2026 /intel pain project management /intel full personal finance apps

Step 1: Parse Input

Parse the user's input: /intel [MODE] [TOPIC]

MODES:

Mode Purpose

gaps

Find market gaps and unmet needs

competitors

Map competitive landscape

sentiment

Quantify love/hate ratio

pricing

Research pricing strategies

trends

Analyze direction and velocity

pain

Find top frustrations

validate

Quick idea validation (gaps + competitors + pain combined)

full

Complete report (all modes)

If no mode specified, default to full .

Store:

• MODE = [extracted mode]

• TOPIC = [extracted topic]

Step 2: Execute Searches

Run 5-8 searches per mode. Keep queries SIMPLE — complex boolean often fails.

Search Templates by Mode

GAPS MODE — Find unmet needs:

Search 1: {TOPIC} "I wish" site:reddit.com Search 2: {TOPIC} frustrating OR annoying site:reddit.com
Search 3: {TOPIC} "would pay for" site:reddit.com Search 4: {TOPIC} feature request site:news.ycombinator.com Search 5: {TOPIC} problems complaints 2025 2026 Search 6: {TOPIC} missing features gaps

COMPETITORS MODE — Map landscape:

Search 1: {TOPIC} vs alternative site:reddit.com Search 2: {TOPIC} competitors comparison 2026 Search 3: best {TOPIC} alternatives Search 4: {TOPIC} review site:producthunt.com Search 5: {TOPIC} pricing plans comparison Search 6: "switched from" {TOPIC} to site:reddit.com

SENTIMENT MODE — Quantify opinions:

Search 1: {TOPIC} love OR amazing site:reddit.com Search 2: {TOPIC} hate OR terrible site:reddit.com Search 3: {TOPIC} honest review 2025 2026 Search 4: {TOPIC} worth it site:reddit.com Search 5: {TOPIC} overrated OR underrated Search 6: {TOPIC} complaints site:twitter.com

PRICING MODE — Research pricing:

Search 1: {TOPIC} pricing cost 2026 Search 2: {TOPIC} free tier freemium Search 3: {TOPIC} expensive OR cheap site:reddit.com Search 4: {TOPIC} pricing comparison Search 5: {TOPIC} "how much does" cost Search 6: {TOPIC} pricing strategy SaaS

TRENDS MODE — Analyze direction:

Search 1: {TOPIC} trending growing 2026 Search 2: {TOPIC} declining dying site:reddit.com Search 3: {TOPIC} future prediction 2026 Search 4: {TOPIC} news announcement 2026 Search 5: {TOPIC} hype OR bubble Search 6: {TOPIC} market size growth

PAIN MODE — Find frustrations:

Search 1: {TOPIC} frustrating painful site:reddit.com Search 2: {TOPIC} biggest problem site:reddit.com Search 3: {TOPIC} workaround hack site:reddit.com Search 4: {TOPIC} rant vent site:reddit.com Search 5: {TOPIC} broken buggy unreliable Search 6: {TOPIC} complaints issues 2026

VALIDATE MODE — Quick idea validation (run in sequence):

Pain check

Search 1: {TOPIC} frustrating problem site:reddit.com Search 2: {TOPIC} "I wish" OR "would pay for" site:reddit.com

Competition check

Search 3: {TOPIC} vs alternatives comparison Search 4: best {TOPIC} tools 2026

Gap check

Search 5: {TOPIC} missing features gaps complaints Search 6: {TOPIC} "doesn't exist" OR "no good" site:reddit.com

FULL MODE — Run 2-3 searches from EACH mode above.

Step 3: Extract & Synthesize

For each result, extract:

• Source URL (required)

• Platform (Reddit, HN, Twitter, blog)

• Key quote (most relevant 1-2 sentences)

• Engagement hint (if URL contains /comments/ or shows votes in snippet)

Weighting Rules

• Reddit/HN → Highest weight (real discussions)

• Twitter/X → High (real-time sentiment)

• Product Hunt → Medium (launch feedback)

• Blogs → Medium (detailed but may be biased)

• Company sites → Lowest (facts only, not opinions)

Pattern Detection

• What appears in 3+ sources? → Strong signal

• What has engagement hints (comments, upvotes mentioned)? → Validated

• Contradictions between sources? → Note them

• Data gaps? → Acknowledge low confidence

Step 4: Output Format

CRITICAL: Follow this exact format.

/intel {MODE}: {TOPIC}

TL;DR

[One paragraph — THE key insight a founder needs. Be specific. Be actionable.]

Key Findings

1. [Finding title] [2-3 sentences with SPECIFIC evidence]

"[Direct quote from source]" — [Source: platform/url]

2. [Finding title]
[2-3 sentences with evidence]

"[Direct quote]" — [Source]

3. [Finding title] [Evidence and quotes]

[3-5 findings total]

Data Summary

{MODE-SPECIFIC SECTION — see below}

Strategic Implications

If building in this space:

• [Specific advice for founders/builders]

If investing/evaluating:

• [Specific advice for investors/analysts]

Contrarian take:

• [What the data might be missing or getting wrong]

Confidence Breakdown

Limitations & Blind Spots

• [Data gaps — what's NOT represented]
• [Bias warnings — who's overrepresented]
• [Recency issues — old data flagged]

📊 /intel {MODE} complete ├─ Topic: {TOPIC} ├─ Sources: {n} total └─ Confidence: {HIGH/MED/LOW}

Want deeper analysis? Ask about any finding.

Mode-Specific Sections

GAPS Mode Output

Market Opportunities

Recommended Action

[1-2 sentences: Which gap to pursue and why]

COMPETITORS Mode Output

Competitive Landscape

Positioning Gap

[Where is there room in the market?]

SENTIMENT Mode Output

Sentiment Analysis

Score: {1-10}/10 (estimated from {n} sources)

Most Loved: [Feature] — "[quote]" Most Hated: [Feature] — "[quote]" Trend: {Improving/Stable/Declining}

PRICING Mode Output

Pricing Landscape

Premium Justifiers: [What features command higher prices] Common Mistakes: [Pricing errors to avoid]

TRENDS Mode Output

Trend Analysis

Direction: {📈 Growing | 📊 Stable | 📉 Declining} Velocity: {Rapid | Moderate | Slow}

Forecast: [1-2 sentences on where this is heading]

PAIN Mode Output

Pain Point Rankings

VALIDATE Mode Output

Quick idea validation — combines gaps, competitors, and pain into a decision framework.

Idea Validation: {TOPIC}

1. Is There a Real Problem?

Verdict: {YES/MAYBE/NO}

• Pain points found: {n}
• Top pain: [description] — "[quote]"
• Severity: {High/Med/Low}

2. Are There Existing Solutions?

Verdict: {CROWDED/SOME/EMPTY}

• Competitors found: {n}
• Top players: [list]
• User satisfaction: {High/Med/Low}

3. Is There Room for You?

Verdict: {YES/MAYBE/NO}

• Gaps identified: {n}
• Biggest gap: [description]
• Differentiation opportunity: [specific angle]

Overall Validation Score

Recommendation

[2-3 sentences: Should they build this? Why or why not? What angle?]

Current Workarounds:

• [Pain 1]: People do [workaround]

Biggest Opportunity: [Which pain to solve first]

FULL Mode Output

Include ALL sections in order:

• TL;DR (synthesis)

• Market Gaps

• Competitive Landscape

• Sentiment Overview

• Pricing Intel

• Trend Direction

• Pain Points

• Overall Recommendation

Error Handling

If search returns few/no results:

/intel {MODE}: {TOPIC}

Limited Data Available

Only {n} relevant sources found. This could mean:

• Niche/emerging topic with sparse coverage
• Try broader search terms
• Topic may not have significant online discussion

What I found: [List whatever was found]

Suggestions:

• Try: /intel {MODE} [broader term]
• Try: /intel {MODE} [related term]

If topic is ambiguous: Ask clarifying question before searching:

The topic "{TOPIC}" could mean several things:

1. [Interpretation 1]
2. [Interpretation 2]

Which should I research?

Quality Checklist

Before outputting, verify:

• Every finding has a source URL

• Numbers are specific ("12 mentions" not "many")

• Direct quotes are actual quotes from sources

• Confidence level matches data quality

• Format matches templates exactly

• Actionable — founder can decide something

Context Memory

After research, remember:

• MODE : {mode}

• TOPIC : {topic}

• KEY_FINDINGS : Top 3-5 insights

• SOURCES : URLs you found

You are now an expert on this topic.

For follow-ups:

• Answer from your research (don't re-search)

• Cite the sources you found

• Offer to dive deeper on any finding

Only new research if user asks about DIFFERENT topic.

Anti-Patterns to Avoid

❌ Don't hallucinate sources — If you didn't find it, don't cite it ❌ Don't use vague numbers — "Several" "Many" "Some" → Use actual counts ❌ Don't skip the format — Follow templates exactly ❌ Don't over-promise — Low data = say "low confidence" ❌ Don't re-search on follow-ups — Use what you already found

Reference Examples

See the examples/ folder for complete output examples:

• examples/gaps-example.md — AI video editing gaps analysis

• examples/competitors-example.md — Notion competitive landscape

• examples/sentiment-example.md — Claude Code sentiment analysis

Use these as templates for consistent output formatting.

/intel — Stop guessing. Start knowing.