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HackerNews & Developer Ecosystem Real-Time Sentiment Pulse
HackerNews & Developer Ecosystem Real-Time Sentiment Pulse is a paid API for AI agents from domain-osint.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, library, or AI model keyword
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://domain-osint.agentdiet.dev/v1/hackernews-top)
Output
Returns live HackerNews discussion data for the queried keyword, including active threads, front-page velocity signals, and an aggregated developer sentiment reading — indicating how the developer community is reacting to the topic in real time.
Example use cases
AI model launch sentiment check
“Can you pull the current HackerNews sentiment and discussion velocity for 'GPT-4o' — I want to know how developers are reacting to it in real time?”
Startup reputation monitoring
“Check HackerNews right now for any discussions about 'Notion' — is the sentiment mostly positive or negative among developers, and how fast are posts gaining traction?”
Framework adoption buzz tracking
“I'm evaluating whether to adopt 'htmx' for our next project — what are developers actually saying about it on HackerNews today, and is it getting a lot of front-page attention?”
Technical details
Endpoint
GEThttps://domain-osint.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 pulse-check for technical founders, developer-tool companies, and AI researchers. It is preferable over general web sentiment tools when the target audience is developers, engineers, or technically-minded communities, and when front-page velocity or discussion thread depth matters rather than social media volume.
Side effects
- Empty or too-generic query returns sparse or noisy results
- HackerNews API rate limits or downtime cause delayed/missing data
- Misspelled or obscure keyword returns no matching discussions
- Very new topics may have insufficient discussion volume for meaningful sentiment
- Response schema is loosely typed (generic object), so field availability may vary
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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