Hacker News AI
Read a configurable Hacker News feed (top 30 by default) and tag each live story AI or Not AI from its title, URL and post text.
make a pipeline that reads hackernews and tags each story whether it's ai or not.
Typed to Jason, Jsonify's AI data engineer, who built the pipeline from it.
One message. 30 stories, 12 columns.
Latest results
30 stories, refreshed hourly
| Row# | Open row | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | benbreen | 21 | top | false | 4 | 149 | 50067414 | Hittite royal archive found in Turkey | View row | ||||
| 2 | speckx | 115 | top | false | 15 | 240 | 50061791 | Making big downloads resumable in Firefox | View row | ||||
| 3 | yanis_t | 29 | top | true | 12 | 60 | 50069942 | Character.ai Files for Bankruptcy | View row | ||||
| 4 | helsinkiandrew | 49 | top | false | 5 | 158 | 50069329 | CFTC Staff Were Told to Retract Analysis of Suspicious Oil Trades | View row | ||||
| 5 | recvonline | 39 | top | false | 6 | 66 | 50070302 | Mozilla Introduces Firefox Enterprise | View row | ||||
| 6 | zdw | 28 | top | false | 23 | 153 | 50061859 | Writing a Demoscene Intro for the ZX Spectrum | View row | ||||
| 7 | sbulaev | 115 | top | true | 30 | 237 | 50065692 | AI models can provably hide arbitrary capabilities | View row | ||||
| 8 | layer8 | 376 | top | true | 24 | 474 | 50063427 | AI is a tool and using it well takes skill | View row | ||||
| 9 | mlukewizard | 35 | top | true | 17 | 69 | 50068437 | DishwasherBench – Can Frontier Models Stack a Dishwasher? | View row | ||||
| 10 | djfergus | 102 | top | false | 19 | 376 | 50055593 | Turn a WiFi 7 Router into a 320Msps Software Defined Radio Receiver | View row |
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Data pipeline
How Jsonify collects this data
Jason, Jsonify's AI data engineer, built this pipeline from a plain-language brief. It runs the same steps every time: read the sources, extract the fields, check every row, publish the dataset. When a source changes and a step fails, Jason diagnoses the failure, repairs the pipeline and verifies a sample before it resumes, so the dataset keeps its shape without anyone babysitting it.
- 01
Read Feed
Read a fresh ranked snapshot of the selected Hacker News feed.
- 02 · fan out
Read Story
Read each story's title, URL, post text, score, author and…
- 03 · fan out
Tag AI
Tag each story AI or not AI using its Hacker News title, URL…
- 04
Validate
Check story identities and tags, then preserve the source feed…
- 05 · output
Stories
Latest Hacker News stories with AI tags and source links.
30 stories · v2
Read Feed
Read a fresh ranked snapshot of the selected Hacker News feed.
Read Feed
Read a fresh ranked snapshot of the selected Hacker News feed.
Per input record: Read Story
Read each story's title, URL, post text, score, author and comment count from Hacker News.
Per input record: Tag AI
JudgeTag each story AI or not AI using its Hacker News title, URL and post text.
Validate
Check story identities and tags, then preserve the source feed ranking in the saved snapshot.
Stories
Latest Hacker News stories with AI tags and source links.
History
Versions and repairs
Every activated version of the pipeline, and the recorded outcome of each repair.
Version history
- v1
Added Hacker News story collection with AI/Not AI tags, uncertainty flags, story links and live engagement details.
- v2
Removed ai_tag, text, classification_basis and needs_review. is_ai is now the first column and title the second.
Repairs
When a source changes and a step fails, Jason's repair and its outcome are recorded here.
Build conversation
How was this pipeline built
The original chat with Jason, Jsonify's AI data engineer, up to the message that produced version 1. Shared by the pipeline's owner.
- User
make a pipeline that reads hackernews and tags each story whether it's ai or not.
JasonI’ll build a saved pipeline that reads Hacker News stories and tags each as AI or not AI. I’ll start with the top 30 stories; the saved data can be refreshed later or put on a schedule.
- Jason
Got it—hourly updates, and I’ll share the public page when it’s ready. At 30 stories per update, that’s about 21,600 collected rows per 30 days. Tags will use each story’s title, URL, and any text posted on Hacker News, rather than the full linked article.
- Jason
The pipeline is built and scheduled hourly. The first 30-story update is running now; I’ll verify the results and share the public page when it finishes.
Need something different?
Describe it. Get verified rows, kept current.