AI-driven solar prototype optimizer that auto-fixes designs for max efficiency
Students developing solar power prototypes can't reliably simulate designs because current software crashes on basic laptops and lacks mobile support.
RayOptix uses AI to analyze student solar designs, simulate performance, and suggest optimizations like panel angles or wiring tweaks. It runs entirely in-browser on low-spec devices with mobile support, preventing crashes. Get pro-level results with minimal input via natural language prompts.
Engineering and renewable energy students building solar power prototypes for coursework or competitions
Integrated AI (via lightweight models) that not only simulates but intelligently iterates designs 5x faster than manual tweaking
supportive
Describe prototype in text, AI generates initial config
One-click run with AI-predicted outputs and graphs
AI suggests and applies efficiency improvements
Chat interface for queries on-the-go
Compare multiple AI-optimized versions side-by-side
Fine-tune on user's past sims
Dictate designs via speech-to-text
Reports include AI rationale
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| ai_usage_count | int | Yes |
| tier | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| prompt_text | text | No |
| config_json | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| design_id | uuid | No |
| variants_json | text | No |
| best_score | int | No |
| created_at | timestamp | No |
Relationships:
/api/designsCreate from AI prompt
/api/designs/:id/optimizeRun AI optimization
/api/designsList user's designs
/api/optimizations/:idFetch variants
/api/user/ai-creditsCheck remaining optimizations
No variants, limited prompts
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 80 | 2% | $50 | $600 |
| Month 6 | 700 | 4% | $840 | $10,080 |
No crashes, mobile-ready – let AI handle the math for perfect designs.
Share AI demo video in solar student Slack groups and Twitter #SolarChallenge; run $50 Reddit ads targeting engineering subs; email 20 profs with free Pro trials for class integration.
Pro-grade AI
Expensive, desktop-heavy
Affordable student AI in-browser
Precise
No AI, crashes laptops
AI-first, lightweight
Anonymized design data trains better AI over time
Open AI models + student AI adoption surge
AI inference slow on mobile
Client-side lightweight models
AI hype fades
Fallback to manual mode
Success: 90% prefer AI over manual
Success: 50% upgrade rate
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