Show HN: 22 GB of Hacker News in SQLite (hackerbook.dosaygo.com)

730 points by keepamovin ↗ HN
Community, All the HN belong to you. This is an archive of hacker news that fits in your browser. When I made HN Made of Primes I realized I could probably do this offline sqlite/wasm thing with the whole GBs of archive. The whole dataset. So I tried it, and this is it. Have Hacker News on your device.

Go to this repo (https://github.com/DOSAYGO-STUDIO/HackerBook): you can download it. Big Query -> ETL -> npx serve docs - that's it. 20 years of HN arguments and beauty, can be yours forever. So they'll never die. Ever. It's the unkillable static archive of HN and it's your hands. That's my Year End gift to you all. Thank you for a wonderful year, have happy and wonderful 2026. make something of it.

66 comments

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(comment deleted)
How much space is needed? ...for the data .... Im wondering if it would work on a tablet? ....
FYI I did NOT see the size info in the title. Impossible to edit / delete my comment now ........
That repo is throwing up a 404 for me.

Question - did you consider tradeoffs between duckdb (or other columnar stores) and SQLite?

i forgot to set repo to public. Fixed now
Is this updated regularly? 404 on GitHub as the other comment.

With all due respect it would be great if there is an official HN public dump available (and not requiring stuff such as BigQuery which is expensive).

The BQ dataset is only ~17GB and the free tier of BQ lets you query 1TB per month. If you're not doing select * on every query you should be able to do a lot with that.
1 hour passed and it's already nuked?

Thank you btw

Wonder if you could turn this into a .zim file for offline browsing with an offline browser like Kiwix, etc. [0]

I've been taking frequent "offline-only-day" breaks to consolidate whatever I've been learning, and Kiwix has been a great tool for reference (offline Wikipedia, StackOverflow and whatnot).

[0] https://kiwix.org/en/the-new-kiwix-library-is-available/

Oh that's a cool idea. If you want to take a crack at writing the script, the repo is open!
That's pretty neat!

I did something similar. I build a tool[1] to import the Project Arctic Shift dumps[2] of reddit into sqlite. It was mostly an exercise to experiment with Rust and SQLite (HN's two favorite topics). If you don't build a FTS5 index and import without WAL (--unsafe-mode), import of every reddit comment and submission takes a bit over 24 hours and produces a ~10TB DB.

SQLite offers a lot of cool json features that would let you store the raw json and operate on that, but I eschewed them in favor of parsing only once at load time. THat also lets me normalize the data a bit.

I find that building the DB is pretty "fast", but queries run much faster if I immediately vacuum the DB after building it. The vacuum operation is actually slower than the original import, taking a few days to finish.

[1] https://github.com/Paul-E/Pushshift-Importer

[2] https://github.com/ArthurHeitmann/arctic_shift/blob/master/d...

Holy cow, I didn't know getting reddit was that straightforward. I am building public readonly-SQL+vector databases optimized for exploring high-quality public commons with Claude Code (https://exopriors.com/scry), I so cannot wait until some funding source comes in and I can upgrade to a $1500/month Hetzner server and pay the ~$1k to embed all that.
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Don't miss how this works. It's not a server-side application - this code runs entirely in your browser using SQLite compiled to WASM, but rather than fetching a full 22GB database it instead uses a clever hack that retrieves just "shards" of the SQLite database needed for the page you are viewing.

I watched it in the browser network panel and saw it fetch:

  https://hackerbook.dosaygo.com/static-shards/shard_1636.sqlite.gz
  https://hackerbook.dosaygo.com/static-shards/shard_1635.sqlite.gz
  https://hackerbook.dosaygo.com/static-shards/shard_1634.sqlite.gz
As I paginated to previous days.

It's reminiscent of that brilliant SQLite.js VFS trick from a few years ago: https://github.com/phiresky/sql.js-httpvfs - only that one used HTTP range headers, this one uses sharded files instead.

The interactive SQL query interface at https://hackerbook.dosaygo.com/?view=query asks you to select which shards to run the query against, there are 1636 total.

The GitHub page is no longer available, which is a shame because I'm really interested in how this works.

How was the entirety of HN stored in a single SQLite database? In other words, how was the data acquired? And how does the page load instantly if there's 22GB of data having to be downloaded to the browser?

I am curios why they don't use a single file and HTTP Range Requests instead. PMTiles (a distribution of OpenStreetMap) uses that.
Thanks! I'm glad you enjoyed the sausage being made. There's a little easter egg if you click on the compact disc icon.

And I just now added a 'me' view. Enter your username and it will show your comments/posts on any day. So you can scrub back through your 2006 - 2025 retrospective using the calendar buttons.

A recent change is I added date spans to the shard checboxes on query view so it's easier to zero dates you want if you have that in mind. Because if your copy isn't local all those network pulls take a while.

The sequence of shards you saw when you paginated to days is faciliated by the static-manifest which maps HN item ID ranges to shards, and since IDs are increasing and a pretty good proxy of time (a "HN clock"), we can also map the shards that we cut up by ID to the time spans their items cover. An in memory table sorted by time is created from the manifest on load so we can easily look up which shard we need when you pick a day.

Funnily enough, this system was thrown off early on by a handful of "ID/timestamp" outliers in the data: items with weird future timestamps (offset by a couple years), or null timestamps. To cleanse our pure data from this noise, and restore proper adjacent-in-time shard cuts we just did a 1/99 percentile grouping and discarded the outliers leaving shards with sensible 'effective' time spans.

Sometimes we end up fetching two shards when you enter a new day because some items' comments exist "cross shard". We needed another index for that and it lives in cross-shard-index.bin which is just a list of 4-byte item IDs that have children in more than 1 shard (2-bytes), which occurs when people have the self-indulgence to respond to comments a few days after a post has died down ;)

Thankfully HN imposes a 2 week horizon for replies so there aren't that many cross-shard comments (those living outside the 2-3 days span of most, recent, shards). But I think there's still around 1M or so, IIRC.

Is it possible to implement search this way?
What a reminder on how text is so much more efficient than video, its crazy! Could you imagine the same amount of knowledge (or dribble) but in video form? I wonder how large that would be.
Right? 20 years, probably 10s millions of human hours of interactions, and it’s only as much as a couple DVDs.
This would be awesome as a cross platform app.
The link seems to be down, was it taken down?
Similar to Single-page applications (SPA), single-table application (STA) might become a thing. Just a shard a table on multiple keys and serve the shards as static files, provided that the data is Ok to share, similar to sharing static html content.
I wonder how much smaller it could get with some compression. You could probably encode "This website hijacks the scrollbar and I don't like it" comments into just a few bits.
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Dear it is already compressed using G zip – nine for every SQLlight shard and manifest

22 GB is uncompressed and compressed the entire things about 9 GB

22gb for mostly text? tried loading the site, it's pretty slow. curious how the query performance is with this much data in sqlite
This is pretty neat! The calendar didn't work well for me. I could only seem to navigate by month. And when I selected the earliest day (after much tapping), nothing seemed to be updated.

Nonetheless, random access history is cool.

Cna you let me know? I'm sure there's some weirdness lurking there and I want to smooth it out. Calendar is essential.
Site does not load on Firefox console error says 'Uncaught (in promise) TypeError: can't access property "wasm", sqlite3 is null'

Guess its common knowledge that SharedArrayBuffer (SQLite wasm) does not work with FF due to Cross-Origin Attacks (i just found out ;).

Once the initial chunk of data loads the rest load almost instantly on Chrome. Can you please fix the GitHub link (current 404) would like to peak at the code. Thank you!

Damn. Will try to fix for FF.

edit: I just tested with FF latest, seems to be working.

Apparently the comment counts are only the top-level comments?

It would be nice for the thread pages to show a comment count.

Yes, because comments in a thread can span shards. It’s just a bit too heavy to add comment counts of an entire thread. So I give a low bound ha ha
Is there a public dump of the data anywhere that this is based upon, or have they scraped it themselves?

Such as DB might be entertaining to play with, and the threadedness of comments would be useful for beginners to practise efficient recursive queries (more so than the StackExchange dumps, for instance).

Yes, you can see the download HN bash script in the repository now that simply extract the data to your local machine from BigQuery and saves it as a series of gzip JSON files
Alas, HN does not belong to us, and the existence of projects like this are subject to the whims of the legal owners of HN.

From the terms of use [0]:

"""

Commercial Use: Unless otherwise expressly authorized herein or in the Site, you agree not to display, distribute, license, perform, publish, reproduce, duplicate, copy, create derivative works from, modify, sell, resell, exploit, transfer or upload for any commercial purposes, any portion of the Site, use of the Site, or access to the Site. The buying, exchanging, selling and/or promotion (commercial or otherwise) of upvotes, comments, submissions, accounts (or any aspect of your account or any other account), karma, and/or content is strictly prohibited, constitutes a material breach of these Terms of Use, and could result in legal liability.

"""

[0] https://www.ycombinator.com/legal/#tou

Looks like the repo was taken down (404).

That's too bad, I'd like to see the inner-working with a subset of data, even with placeholders for the posts and comments.

How do I download it? That repo is a 404.
Beautiful !

2026 prayer: for all you AI junkies—please don’t pollute H/N with your dirty AI gaming.

Don’t bot posts, comments, or upvote/downvote just to maximize karma. Please.

We can’t identify anymore who’s a bot and who’s human. I just want to hang out with real humans here.

I tried "select * from items limit 10" and it is slowly iterating through the shards without returning. I got up to 60 shards before I stopped. Selecting just one shard makes that query return instantly. As mentioned elsewhere I think duckdb can work faster by only reading the part of a parquet file it needs over http.

I was getting an error that the users and user_domains tables aren't available, but you just need to change the shard filter to the user stats shard.