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HackerNews Developer Sentiment Pulse
HackerNews Developer Sentiment Pulse is a paid API for AI agents from prompt-guard.agentdiet.dev, paid per call via MPP, $0.01/call, status unknown (last checked 2026-10-21).
Queries live HackerNews discussions, front-page velocity, and developer sentiment for any framework, startup, or AI model topic
Price / call$0.01
Success—
StatusUnknown
How this service works
Queries live HackerNews discussions, front-page velocity, and developer sentiment on any framework, startup, or AI model. (Live x402 v2, IETF MPP & MCP endpoint at https://prompt-guard.agentdiet.dev/v1/hackernews-top)
Output
Returns aggregated HackerNews discussion data for the queried topic, including front-page velocity, developer sentiment indicators, and relevant thread activity — giving a real-time pulse on how the developer ecosystem is reacting to a technology, startup, or AI model.
Example use cases
AI model launch reception check
“We just launched a new AI model called Mistral-7B — can you check what the HackerNews developer community is saying about it right now and whether the sentiment is positive or negative?”
Competitor startup buzz monitoring
“Can you pull the live HackerNews discussions and sentiment around Vercel? I want to know if developers are praising or complaining about it lately.”
Framework adoption signal for engineering decision
“My team is debating whether to adopt SvelteKit — what's the current developer sentiment on HackerNews about it, and is it picking up front-page traction?”
Technical details
Endpoint
GEThttps://prompt-guard.agentdiet.dev/v1/hackernews-top?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need real-time developer community sentiment specifically from HackerNews — the canonical source for technical founders, engineers, and early adopters. Prefer this over generic social media sentiment tools when the audience is the developer/startup ecosystem, and over static data sources when recency and front-page velocity matter.
Side effects
- Empty or ambiguous query returns no meaningful results
- Highly niche or obscure topics may yield sparse discussion data
- HackerNews API downtime or rate limits could cause fetch failures
- Query terms too broad (e.g. 'AI') may return unfocused sentiment aggregates
- Response schema is generic object — downstream parsing may require effort if structure changes
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| queryrequired | string | Technology, startup, library, or topic keyword to analyze across HackerNews |
Output
Schema · Response
{
"type": "object"
}Reviews
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Zero review prompt (fires after every successful call)
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