Malin
22eae3f9b7
- db.py: add `language` column to ai_queue; migration; queue_ai() accepts language param and re-queues with ON CONFLICT UPDATE so changing language works - main.py: batch and single assess endpoints accept `language` from request body - enricher.py: ai_worker_loop reads language column, passes to _assess_one() - replicate_ai.py: assess_domain() and _build_prompt() accept language param; OUTPUT LANGUAGE section injected into prompt so Gemini writes pitch/email in the requested language (EN/ES/RO) - index.html: flag dropdown (🇪🇸/🇬🇧/🇷🇴) next to AI Assess button; aiLang state default ES; language sent in all batch assessment requests Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
DomGod — Domain Intelligence Dashboard
Dockerized dashboard for filtering, enriching, scoring, and exporting leads from a 72M-domain dataset.
Quick start
docker compose up --build
On first boot, the container downloads domains.parquet (~GB) and caches it in ./data/. Subsequent restarts skip the download.
Environment variables (docker-compose.yml)
| Variable | Default | Description |
|---|---|---|
DATA_DIR |
/data |
Where parquet + sqlite live |
PARQUET_URL |
GitHub raw URL | Source parquet |
CONCURRENCY_LIMIT |
50 |
Parallel enrichment workers |
SCORE_THRESHOLD |
60 |
"Hot lead" threshold |
TARGET_TLDS |
es,com,net |
TLDs to prioritise |
TARGET_COUNTRIES |
ES,GB,DE,FR,RO,PT,AD,IT |
Countries for scoring bonus |
Scoring
| Signal | Points |
|---|---|
| Domain is live | +20 |
| SSL expiry < 30 days | +15 |
| No valid SSL | +15 |
| Known CMS detected | +15 |
| No MX record | +10 |
| IP in target country | +10 |
| Shared hosting server | +10 |
| Local business keywords in title | +5 |
Max score: 100. Hot ≥ 80, Warm 50–79, Cold < 50.
API
GET /api/stats
GET /api/domains?tld=es&page=1&limit=100&live_only=false
POST /api/enrich/batch { "domains": ["example.com"] }
GET /api/enrich/status
POST /api/enrich/pause
POST /api/enrich/resume
POST /api/enrich/retry
GET /api/enriched?min_score=60&cms=wordpress&country=ES
GET /api/export?tier=hot (streams CSV)
POST /api/score/run