Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
napoleond
searching Neon…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
6 ms
·
1.
▲
by
napoleond
14d ago
I mean, this debate is about immigration, right? So current location doesn't super matter, assuming you can amortize the cost of relocating a plumber across several years' worth of plumbing work.
2.
▲
by
napoleond
1mo ago
Check out https://unbiased.ai (Disclaimer: I’m a co-founder)
3.
▲
by
napoleond
1mo ago
Do your colleagues at work have access to all of your own accounts, or are they expensive tamagotchis?
4.
▲
by
napoleond
1mo ago
I think my startup can help: https://unbiased.ai Happy to give you (or anyone here) some trial credits if interested! Email address in my profile.
5.
▲
by
napoleond
3mo ago
It seems clear that LLMs significantly change threat model math, but this observation alone does not explain how or why; the asymmetry that you’re describing is a property of pre-LLM software as well.
6.
▲
by
napoleond
5mo ago
Each of those examples varies widely, and I don't think most people would treat each of them the same way. In general when the stakes are higher and the ambiguity of outcome is less clear, secondary signals become more important. Concr
7.
▲
by
napoleond
5mo ago
> It doesn't know if 1 person made all those requests, or N. FWIW this is highly unlikely to be true. It's true that the upstream provider won't know it's _you_ per se, but most LLM providers strongly encourage proxie
8.
▲
by
napoleond
8mo ago
MoltOverflow is apparently a thing! Along with a few other “web 2.0 for agents” projects: https://claw.direct
9.
▲
by
napoleond
4y ago
Surely that’s not all it takes?
10.
▲
by
napoleond
4y ago
I took the trouble of logging in to HN to call bullshit on this whole thread. The reason these teenagers aren’t building standalone apps is generally because they know that web apps are the future. Moreover, there are dozens of new travel p
11.
▲
by
napoleond
5y ago
This year I launched https://www.tabbydata.com , on track to make $500/month by February.
12.
▲
by
napoleond
5y ago
Shoot me an email if you’d like—I’d be happy to share any learnings from what I built if relevant.
13.
▲
by
napoleond
5y ago
For other public BigQuery datasets I’d certainly consider just adding them to the demo for free—which specific Bitcoin/finance datasets did you have in mind? For private datasets, we’re looking at adding that functionality to the core
14.
▲
by
napoleond
5y ago
Are you looking to set it up for another public dataset or your own private one? Either way, shoot me an email (on the demo page and also in my HN profile) and I’ll see what I can do.
15.
▲
by
napoleond
5y ago
Thanks for noting this! The functionality is definitely not perfect, and the opaque nature of the underlying model does not give much opportunity for tweaking. I suspect slightly altering your input might help drive better output.
16.
▲
by
napoleond
5y ago
Really? Wow, I would not have expected that to work. Might be one advantage of using this general model instead of a more specialized one.
17.
▲
by
napoleond
5y ago
The weather dataset has a bit of an unorthodox schema IMO, which gives the model more trouble than usual. That’s kind of the point of this demo, though: to what extent is generated SQL like this useful—despite its flaws—in the context of re
18.
▲
by
napoleond
5y ago
Nice! Yeah I have no doubt that a specialized model could beat this general one, although I find the output from the general one to be uncanny at times. Would love to hear your expert opinion on how they compare!
19.
▲
by
napoleond
5y ago
Yeah many rough edges indeed. The generated SQL is the plain output from GPT-3; I have not done anything to customize the model or validate syntax outside it, so the roughness is expected. No idea if folks will find value in this despite th
20.
▲
by
napoleond
5y ago
Awesome! Always happy to chat; my contact info is in my profile (and also at the bottom of the linked demo).
21.
▲
by
napoleond
5y ago
Cool! Yes, the ability to customize the model ( https://openai.com/blog/customized-gpt3/ ) also seems like it could be really useful for this.
22.
▲
by
napoleond
5y ago
Clickable link: https://app.tabbydata.com/sql-assistant-demo
23.
▲
Show HN: Describe SQL using natural language, and execute against real data
66 points
by
napoleond
5y ago
|
36 comments
24.
▲
by
napoleond
5y ago
In terms of actually tracking and charting this data, it’s pretty useful to have it all in one place and queryable by SQL—this is not usually the case by default! I built https://www.tabbydata.com for SaaS founders who have this
25.
▲
by
napoleond
5y ago
This is a great overview of what to measure, at least for business metrics. (Shameless plug…) For folks wondering how to measure, and also how to track product metrics for their SaaS, I wrote a thing: https://www.tabbydata.co
26.
▲
by
napoleond
5y ago
I think this is why most sites—especially those targeting technical audiences—should rely on server-side analytics instead. Add some middleware to your web framework of choice which logs request data and parse that, or use something like h
27.
▲
by
napoleond
5y ago
And how did you verify its integrity? And what is the upgrade path?
28.
▲
by
napoleond
5y ago
> Looks like someone from the security or PR departments took a picture of the ticket with their cellphone and sent them to the reporter. Out of those two groups, Occam's razor implicates the one with a vested interest in currying f
29.
▲
by
napoleond
6y ago
n8n and Node-RED are both really neat! Over the break I built a little project that takes a different approach; for me the schleppy part of API integration is not usually the code but it's the infrastructure (where to host for cheap, w
30.
▲
Finally, the Glue for all your SaaS
(tabbydata.com)
6 points
by
napoleond
6y ago
|
0 comments
More ›