banatie-strategy/research/banatie-research-directions...

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Banatie Passive Research: Search Directions Tracker

Date Started: November 1, 2025
Purpose: Track all passive research directions, searches, and findings
Status: Active Research


Research Methodology

Tools: Brave Search MCP, Perplexity MCP
Approach: Multiple search variations per direction to avoid false negatives
Output Focus: Verifiable Reddit/forum post links + brief conclusions
Language: Russian for notes, English for search queries


🎯 Priority Directions (Start Here)

✅ Direction 0: Initial Exploration (COMPLETED)

Status: Completed Oct 31, 2025
Document: reddit-passive-research.md

Key Findings:

  • ✅ "Placeholder hell" validated (projects stall waiting for client content)
  • ❌ Context switching NOT a real pain (no complaints found)
  • ❌ MCP not a differentiator (already exists)
  • ✅ Competitor gaps found (fal.ai pricing issues, Replicate support problems)

🔄 Direction 1: Prompt URLs + No-Code Generation

Hypothesis: Web developers want to generate images directly from HTML without code.

Key Questions:

  • Do developers want <img src="https://api.com/generate/description" /> approach?
  • Is placeholder replacement a bottleneck in their workflow?
  • Would they pay for AI-powered placeholders?

Search Topics:

  • Search 1.1: "placeholder images" + "dynamic generation" (r/webdev, r/Frontend)
  • Search 1.2: "HTML img tag" + "AI generation" (r/webdev)
  • Search 1.3: "landing page images" + "automated" (r/SideProject, r/buildinpublic)
  • Search 1.4: "placeholder.com alternative" + "AI" (r/web_design)
  • Search 1.5: "unsplash.it" + "dynamic images" (r/webdev)

Findings:

  • (To be filled after searches)

🔄 Direction 2: AI Agent Ecosystem

Hypothesis: AI agent builders need visual output for their products.

Key Questions:

  • Do LangChain/CrewAI builders struggle with image generation?
  • Is there demand for "AI agent → image generation" integration?
  • Would prompt enhancement help AI agents create better visuals?

Search Topics:

  • Search 2.1: "LangChain" + "image generation" (r/LangChain, r/OpenAI)
  • Search 2.2: "AI agent" + "visual output" (r/ArtificialIntelligence)
  • Search 2.3: "CrewAI" + "images" (r/CrewAI if exists, r/AI_Agents)
  • Search 2.4: "Custom GPT" + "image generation" (r/OpenAI, r/ChatGPT)
  • Search 2.5: "AI SaaS" + "image API" (r/SaaS, r/Entrepreneur)
  • Search 2.6: "AutoGPT" + "images" (r/AutoGPT if exists)

Findings:

  • (To be filled after searches)

⏳ Direction 3: Marketing Agencies Pain

Hypothesis: Digital marketing agencies struggle with high-volume content creation for clients.

Key Questions:

  • Do agencies complain about social media visual creation?
  • Is stock photo cost/limitation a real pain?
  • Would agencies pay for AI-generated marketing visuals?

Search Topics:

  • Search 3.1: "agency" + "content creation" + "scale" (r/marketing, r/digital_marketing)
  • Search 3.2: "social media images" + "workflow" (r/socialmedia)
  • Search 3.3: "stock photos" + "expensive" OR "limitations" (r/marketing)
  • Search 3.4: "client content" + "bottleneck" (r/Entrepreneur - agency owners)
  • Search 3.5: "marketing agency tools" + "AI" (r/digital_marketing)

Findings:

  • (To be filled after searches)

⏳ Direction 4: E-commerce Product Variations

Hypothesis: E-commerce sellers need product image variations for A/B tests and channels.

Key Questions:

  • Do sellers struggle with product photography costs?
  • Is there demand for AI-generated product variations?
  • Would Shopify integration be valuable?

Search Topics:

  • Search 4.1: "product photography" + "expensive" (r/shopify, r/ecommerce)
  • Search 4.2: "product images" + "variations" (r/shopify)
  • Search 4.3: "Amazon listing images" + "AI" (r/FulfillmentByAmazon, r/AmazonSeller)
  • Search 4.4: "A/B test product images" (r/ecommerce)
  • Search 4.5: "Shopify" + "AI image generation" (r/shopify)

Findings:

  • (To be filled after searches)

⏳ Direction 5: Technical Writers + Documentation

Hypothesis: Tech writers need quick illustrations, diagrams, UI mockups for docs.

Key Questions:

  • Do documentation teams struggle with illustration bottlenecks?
  • Would AI-generated technical diagrams be valuable?
  • Is there budget for documentation tools?

Search Topics:

  • Search 5.1: "technical illustration" + "bottleneck" (r/technicalwriting)
  • Search 5.2: "documentation images" + "workflow" (r/technicalwriting)
  • Search 5.3: "API documentation" + "visual examples" (r/devdocs if exists, r/programming)
  • Search 5.4: "UI mockups" + "documentation" (r/technicalwriting)
  • Search 5.5: "diagram generation" + "automated" (Hacker News, r/programming)

Findings:

  • (To be filled after searches)

🆕 Direction 6: Gemini 2.5 Flash Specific Demand

Hypothesis: There are users who specifically want Gemini 2.5 Flash Image and would pay premium for it.

Key Questions:

  • What makes Gemini 2.5 better than competitors (DALL-E, Midjourney, Flux)?
  • Who prefers Gemini 2.5 and why?
  • Is there willingness to pay more for Gemini access via API?

Search Topics:

  • Search 6.1: "Gemini 2.5 Flash" + "image generation" (r/GoogleGeminiAI, r/AI_Agents)
  • Search 6.2: "Gemini vs DALL-E" + "image quality" (r/ArtificialIntelligence)
  • Search 6.3: "Gemini vs Midjourney" (r/StableDiffusion, r/ArtificialIntelligence)
  • Search 6.4: "Gemini 2.5" + "API" (r/GoogleGeminiAI, r/MachineLearning)
  • Search 6.5: "Gemini image generation" + "pricing" (r/GoogleGeminiAI)
  • Search 6.6: "Why use Gemini over" + alternatives (r/ArtificialIntelligence)

Findings:

  • (To be filled after searches)

🆕 Direction 7: MCP Stability & Quality Issues

Hypothesis: Existing MCP image generation servers are unstable and low-quality.

Key Questions:

  • Do developers complain about existing MCP image tools crashing?
  • Is prompt quality a problem with current MCP solutions?
  • Do reference images work properly in existing tools?

Search Topics:

  • Search 7.1: "MCP image generation" + "crash" OR "unstable" (r/mcp, r/ClaudeAI)
  • Search 7.2: "Draw Things MCP" + issues (r/mcp, r/cursor)
  • Search 7.3: "MCP Flux Studio" + problems (r/mcp)
  • Search 7.4: "MCP image" + "prompt quality" (r/ClaudeAI, r/mcp)
  • Search 7.5: "MCP" + "reference images" (r/mcp)

Findings:

  • (To be filled after searches)

🔮 Future Directions (Backlog)

Direction 8: Indie Hackers / Solo Builders

Hypothesis: Solo developers building SaaS need quick visual assets
Priority: Medium
Reason to explore: High overlap with current ICP (AI developers)

Direction 9: Game Development (Unity/Unreal)

Hypothesis: Indie game devs need concept art, textures, UI assets
Priority: Low
Reason to explore: Different market, but high volume potential

Direction 10: Education / E-learning

Hypothesis: Course creators need illustrations for educational content
Priority: Low
Reason to explore: Recurring need, willingness to pay for tools


🎯 Research Execution Strategy

Phase 1: Quick Validation (Directions 1, 2, 6, 7)

  • Timeline: Nov 1-2, 2025
  • Goal: Find strong signals or kill directions fast
  • Success: 2-3 Reddit threads per direction showing real pain

Phase 2: Deep Dive (Top 2 directions from Phase 1)

  • Timeline: Nov 3-4, 2025
  • Goal: Extract specific pain points, feature requests, pricing expectations
  • Success: 10+ detailed use cases, clear ICP profile

Phase 3: Synthesis (Nov 5)

  • Goal: Update ICP hypothesis based on findings
  • Output: Revised validation interview script

📊 Scoring Framework (Apply After Each Direction)

For each completed direction, score:

Signal Strength:

  • 🔴 Weak (0-2 relevant posts): No clear pain
  • 🟡 Medium (3-5 relevant posts): Some interest, unclear pain
  • 🟢 Strong (6+ relevant posts): Clear, recurring pain

Actionability:

  • 🔴 Vague: Generic complaints, no specific requests
  • 🟡 Moderate: Some specifics, but unclear what to build
  • 🟢 Clear: Specific features/workflows requested

Willingness to Pay:

  • 🔴 No mentions of budget/tools
  • 🟡 Use free tools, complain about paid
  • 🟢 Already paying for similar tools

Strategic Fit:

  • 🔴 Requires major pivot (different product)
  • 🟡 Requires some features we don't have
  • 🟢 Aligns with current tech stack and differentiators

📝 Notes & Insights

Cross-Direction Patterns

  • (To be filled as patterns emerge)

Unexpected Findings

  • (To be filled with surprises)

Dead Ends

  • (To be filled with directions that clearly don't work)

🚀 Next Steps After Research

If 2+ directions score 🟢🟢🟢🟢:

  • Update ICP hypothesis (07-validated-icp-ai-developers.md)
  • Revise interview script (03-icp-research-questions.md)
  • Plan external validation

If 0-1 directions score well:

  • Explore backlog directions
  • Consider fundamental pivot
  • Discuss with @men

Document Status: Active
Last Updated: November 1, 2025
Next Review: After Phase 1 completion (Nov 2-3)