it depends on the sources that are used and above all on how much data is imagined before making an average ranking of the products... so in that case it is very useful rather than reading N sources and then deciding what to focus on
I don't follow your logic here... why would N+1 or N+100 sources necessarily be any better than N? If you start with 5 hand-curated, in-depth reviews picked for quality and then combine them with 100,000 shitty AI-generated ones... you're going to end up with less signal than you started. Expanding your dataset to include more poor quality sources won't make the resulting summary better.
That's the thing, every freely available source about any remotely popular product may as well be entirely astroturfed, or pure SEO listicle slop. The good sources aren't openly available, they're private. The average ranking of 100 listicles doesn't tell me anything.
> The SQL is not really the point. It's about the rows and objects, moving the data from the objects to the INSERT statement, moving the data from the rows you SELECTed back to the objects.
One line of code which is specific in what it catches:
// Either foo or someError will be defined
const [foo, someError] = itry(someFn, SomeError);
Instead of nine lines which feel like they are working uphill against the language: dealing with variable scoping issues, deeper nesting, and footguns like forgetting to re-throw.
let foo;
try {
foo = someFn();
} catch (err) {
if (err instanceof SomeError) {
// do something with error
} else {
throw err;
}
}
// use foo
TLDR; Evanesce is a tool to provide Static Route Generation (SRG) by disappearing your web framework for opt-in routes and building the HTML for a route in the background when a dependency of the route changes.
I am soft-launching unfluence.app in the coming weeks. It's live now, though not yet marketed.
It is a platform for finding and sharing recommendations within your own trusted network. I'd love to hear your feedback!
You can read more about it on the home page[0], from its inspiration, comparisons with existing solutions, to a down-the-road monetization model that aligns with the network.
It is being built by Kujo - a brand in the lawn care industry, and so is seeded with products and brands for that community. The initial launch will be within the lawn care community. However, the platform is community-agnostic and supports creating communities for any groups.
