Viewing profile — lucamartinetti
lucamartinetti
HN member- Joined
- Wed, Mar 21, 2012, 1:39 PM UTC
- HN karma
- 58
- Public activity
- 14 items
- HN profile
- View on Hacker News ↗
About lucamartinetti
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Recent public activity
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Comment #48893901
I also wrote one where you can choose to use a container or a vm, with a MITM proxy on top https://github.com/agentcage/agentcage
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Show HN: Wormhole.page – Magic Wormhole file transfer in the browser via WASM
Magic Wormhole is great but requires a CLI or app. I put a full wormhole-rs client in the browser via WebAssembly so you can send E2E encrypted files to anyone — interoperable with…
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Comment #27067511
We are still using it at TrueLayer (almost 200 users). Any good alternative out there?
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Comment #9946764
Agree. Being a founder will force you to wear many different hats. Technology will still be very important but you will also need to focus on many other different tasks and improve…
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Comment #8955060
I think think of few funny ideas using their open API and data. Late night achievement unlocked!
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Comment #4141261
a bunch of interesting things. It is a nice NLP corpus. Put a dump on S3 and make it public
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Comment #3994278
Very cool. Too bad they got you
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Comment #3736507
The whole text of all articles from wikipedia english (then filtered those with more the 1k views last month)
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Comment #3736471
It represents the traffic of the article. Ten most related articles are displayed for each expanded node. Articles with more inbound links are darker
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Comment #3734990
Not for me. You need a modern browser (chrome or firefox) and scroll a bit
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Comment #3734791
Right! It could use some input checking / normalization too. It expects the title parameter to be lower case now.
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Comment #3734427
Small experiment of visualization of wikipedia articles as a graph using d3.js. Articles with more traffic are bigger. I computed the semantic similarity using LSI with python (gen…
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Show HN: Graph of wikipedia articles semantic similarity (LSI, Python, d3.js)
Small experiment of visualization of wikipedia articles as a graph using d3.js. Articles with more traffic are bigger. I computed the semantic similarity using LSI with python (gen…
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