Hacker News
Uses the public HN Search API by Algolia to find sufficiently popular stories matching configured keywords and comments that mention a username.
Pollen Types
| Type | Description |
|---|---|
hn_top_story | A matching story meets min_points |
hn_mention | A comment contains an exact username mention |
No credential is required:
text
/hive hire hackernewsConfiguration
json
{
"hackernews": {
"enabled": true,
"watch_keywords": ["specific project"],
"username": "your-hn-name",
"min_points": 100,
"max_items": 100,
"max_pages": 3,
"keywords_per_poll": 2
}
}| Field | Default | Description |
|---|---|---|
watch_keywords | [] | Up to 20 bounded search terms; case-equivalent duplicates are folded |
username | "" | Optional HN username for comment mention searches |
min_points | 100 | Story points threshold, from 0 to 1,000,000,000 |
max_items | 100 | Algolia page size, from 1 to 100 |
max_pages | 3 | Search page cap, from 1 to 5 |
keywords_per_poll | 2 | Keyword searches rotated through per poll, from 1 to 5 |
Algolia is a search index rather than the canonical Firebase item API, so indexing delay and search semantics remain upstream limitations.