HN user
85c73ee0f5dc2998dbbb34487c21b2b433a1c14be8ba652a2079921a5a33a88d
All of these are standard terms.
Establishing a (standard sized) ESOP is good for the company long term.
If you would like better/different terms, you'll need at least one other firm to offer you a term sheet as leverage.
6m users¹? Smooth and sharable UX? Effective abstractions over many parts of the DevOps stack?
This comment has quite the Dropbox 'build such a system yourself quite trivially' comment energy
This is not an accurate speculation.
They try to predict flu strains because it is prohibitive to identify and produce vaccines for every strain in time for flu season each year.
By your assertion, the entire notion of yearly flu shots would be irrelevant.
I use Vantage and it's definitely a good product and all but the real value is every hour you don't have to spend using AWS directly.
I would pay _so_ much money to never have to use Cloudwatch and AWS Cost Management again. Thankfully, I qualify for the vantage free tier for quite a while longer.
I caution against trying to monetize it; Facebook will waste your time with constant cat and mouse changes to the HTML and will bully you with their vast legal resources
I have a guide on using Serverless.com infra-as-code to get started with Lambdas. 0% console GUI
Ah yes, 'where no SaaS has gone before', rolling their own CI/CD.
Never mind Github, Gitlab, Pivotal Labs, Netflix, and Yahoo/Verizon
and they're not even open sourcing it, they're just bragging about it
why is this on HN at all
Pretty disappointed to see both authors pitch their products and not discuss:
* data modeling
* warehousing, ETL, monitoring, observability
* the BD necessary to make a standard actually standard
* what aspects to compromise on, if necessary
* network effects
* regulatory moats
ed: the original "DaaS Bible" post is quite a bit more useful
Not exactly what you're looking for, but there's a OSS Chrome Extension that allows you to record your actions in browser and transcribes them into Nightmare.js code:
https://github.com/segmentio/daydream
Probably the best you're going to get - most things worth scraping are worth money, and as such are not freely available
I built something similar to this last year and wow this is just much... better
I find the choice of Flask + Zappa a little weird - I much prefer serverless.com for infra as code - but it makes sense after staring at it long enough
I was prepared to buy this and then I sorta stumbled across the Builder Book
They look very similar? But they're different? According to the docs this one is more focused on advanced patterns? Does a person need to buy the first to get value from the second?
Very confusing UX IMO
Yea, almost all existing Dorking content is around either SEO or offensive/defensive security scanning.
The broader OSINT has used dorking for a decade plus (e.g. exploit-db.com goes back to 2003).
The goal in writing this was to democratize access beyond those who use it regularly for work
When I run that query, it returns
`No results found for "the SERP should stay the same".`
Then defaults to providing the SERP for the fallback query:
`Results for the SERP should stay the same (without quotes):`
That SERP should change when this HN thread is indexed though
Hmm, I'm seeing the same now.
You can more or less replicate the functionality with intext:specific.url/subsite
Will update and credit you.
If it's specific enough, the SERP should stay the same until someone else publishes the same thing
e.g. the search of another article "set up Google Sheets APIs (and treat Sheets like a database)"
turns up my site and a couple Twitter threads talking about it (plus a phishing site which has scraped and republished it). I presume that will stay the same b/c it's such a specific title phrase (but not because searches are necessarily deterministic)
The first two appear to still work, but the third does not.
The permutation searches are tricky because you don't know if a lack of results means the email does not exist, or just hasn't been posted anywhere indexed
Will update and credit
`intext:phrase` and `allintext:multi part phrase`
generally "phrase" works well too
Updated the article to reflect and credited you for the contribution!
Try wrapping lizardmancan in quotation marks - "lizardmancan". That narrows it down to 10 results for me
(also: you'll want to remove the space between site: and news.ycombinator.com)
I like the idea but 20% of cloud spend in perpetuity is completely ridiculous and rules out anything above personal toy projects
Even if someone did sign up for the paid tier, they are strongly incentivized to cancel and keep to code
For more queries, you can add modifiers to a Google Search to get the results you want
Seeing folks mention the NOT operator (-). It's quite powerful! For example, you can do:
intext:"Powered by intercom" -site:intercom.com will find all the sites that use the Intercom widget
or ~blog bread baking -inurl:checkout -intext:checkout will find bread blogs (or similar) without commercial intent
I put together a list of the two dozen or so most useful templates of this, for folks who are interested: https://www.alec.fyi/dorking-how-to-find-anything-on-the-int...
I bought this a few weeks ago and am about 130 pages in.
It is just stunning how much better it is learning Dynamo/NoSQL in general from this than effectively any other source. Anyone who's had to rely on AWS docs knows how face-meltingly dense they can be.
I went back and refactored all my previous Dynamo work last night, and the difference was night and day. I'm planning to migrate some relational structures later this week, as well.
Is good book.
Is the code open source? How would one know with certainty their data isn't being surreptitiously copied?
(You can also recreate this functionality locally with a few lines of Python):
import pandas as pd
import os
list_of_files = [f for f in os.listdir('.') if os.path.isfile(f) and ".csv" in f]
print(f"Files that will be concatenated are: {list_of_files}")
original_df = pd.DataFrame()
for file in list_of_files:
df = pd.read_csv(file, keep_default_na=False)
original_df = pd.concat([original_df, df], axis=0, ignore_index=True)
Love the idea. Totally understand the business use case. Not in love with the pricing.
Feels like paying $49/mo is too high for a marketer to try out, but too low for the fact you can run an effective DDoS of some sites with it
I'd suggest changing the buckets - up to 10 monitored pages on free, a Silver Tier of maybe $29/mo of up to 100 pages + frequency of as low as hourly, a Gold Tier of maybe $99/mo of up to 1000 pages w/ minute frequency, Zapier integration, better support, etc, and then a call-for-quote tier like you already have
Very cool to see this launch! I beta tested Multiplayer a few short weeks ago, and it looks like it's improved quite a bit since then
You might check out Flipcause[1] - they do a lot of what you're describing
[1] www.flipcause.com
If you have sufficient revenue (or pilots that could lead to it), you could look for alternative financing. Venture debt offerings are increasingly common from firms like Lighter Capital and Landscape Capital. There's also an emerging wave of invoice financing companies like VendorTerm that lend against individual contracts
Some feedback:
Some searches, like 'deep learning', 'venture capital', and 'NLP' don't display any results. Not sure if this is a problem with the search functionality or with your database (probably the former). Some searches display a lack of context - for example, searching 'AI' returns a top result of "Air travelers" because the string "ai" is in "air".
You might consider checking out a product like Algolia to scale your search.
Awesome concept though! Excited to see it grow
We use CareerLark[1] in our office. It's nice and lightweight (plus easy to onboard people on to).