- quick: 8-12 sources each, faster response
- default: 20-30 sources each (unchanged behavior)
- deep: 50-70 Reddit, 40-60 X for comprehensive research
Adjusts API timeouts based on depth. Cache keys include depth
so different depths are cached separately.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- After stats summary, invite user to share what they want to create
- Wait for their response instead of auto-dumping generic prompts
- Write ONE tailored prompt based on their specific vision
- Only provide multiple options if they ask for more
- Stay in expert mode for follow-up requests
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Parse user intent for TOPIC and TARGET_TOOL upfront
- Ask follow-up if target tool unclear
- Show impressive stats summary after research (upvotes, likes, etc.)
- Primary output is now copy-paste-ready prompts for target tool
- Keep expert context for follow-up custom prompt requests
- Research is internalized, not dumped back at user
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Research topics across Reddit + X from the last 30 days using
OpenAI and xAI APIs. Features:
- Auto model selection (GPT-5.x, Grok-3)
- Popularity-aware scoring (relevance + recency + engagement)
- Reddit thread enrichment with real metrics
- Near-duplicate detection
- Multiple emit modes (compact, json, context, path)
- 24h caching with --refresh bypass
- NUX for API key setup
- 87 passing unit tests
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Matt Van Horn