ParticleSearch

Search that converts. Built for Shopify.

[ParticleSearch @ParticleSearch]

@signulll Learning how to code taught people how to think, reason, and arrive at conclusions systematically.

It taught people to reason: causality, constraints, systems, the why, what, and how behind things.

The underlying ability to think is valueable.

[ParticleSearch @ParticleSearch]

@malisauskasLT During the review process, they're strict and clear on partner terms and app functionality.

We've been thorough with Shopify, and our interactions have been great so far.

Can you give us examples of the types of violations?

[ParticleSearch @ParticleSearch]

@nateberkopec Every industry is changing.

Both, on the supply side, and the consumer side.

[ParticleSearch @ParticleSearch]

@thdxr You guys are doing great!

You should tell us more about fraud. The deepfake story is crazy.

Awareness can help prevent crime. Or at least, we hope.

[ParticleSearch @ParticleSearch]

@moiiikaaa Products are fundamentally different from web pages: they have attributes, variants, prices, inventory, reviews, compatibility, tradeoffs, and changing availability.

ChatGPT changed how we search.

Especially, how we search for the products we buy.

[ParticleSearch @ParticleSearch]

@moiiikaaa From an ecom search perspective:

User says: I need a laptop for travel, under $2000, great battery life, light enough to carry every day, with a good screen.

That isn't a keyword search.

It's a product discovery problem.

[ParticleSearch @ParticleSearch]

@LeoBuilds_ We use @resend.

No trouble so far. Simple configuration.

From a cost pov, and for bulk email - Amazon SES is your best bet.

[ParticleSearch @ParticleSearch]

@anah_sahh On a Windows 98?

Claude would be slow and using MS Paint.

[ParticleSearch @ParticleSearch]

@jxnlco Humans have loved reading/watching authentic unedited free flowing content.

Simple, raw, intuitive interfaces and content are always appreciated.

[ParticleSearch @ParticleSearch]

@danellisona Engineering chit chat:

The interviews were harder than the job. This was true pre-GPT 4.0, and is true today as well.

Almost all code written today is AI generated.

Review processes across companies, and solo founders vary.

[ParticleSearch @ParticleSearch]

Your thoughts on GPT-6 Astra's design/frontend capabilities?

[ParticleSearch @ParticleSearch]

@realYunfanYe Hey, try this with a normal 3 bed 2 bath home!

Make sure the output is ultra realistic and doesn't overpromise.

There's a huge market for videos like this for the everyday buyer/seller/realtor.

[ParticleSearch @ParticleSearch]

@thsottiaux Looking forward to the next generation of Luna models!

Especially if Luna 6.0 can beat Sol 5.6 - at Luna's pricing.

[ParticleSearch @ParticleSearch]

GPT-6 Astra is for sure awesome.

However, I'm looking forward to using GPT - Luna 6.0

[ParticleSearch @ParticleSearch]

@AlexFinn One day we will look back and view this as the good old days.

Nice!

[ParticleSearch @ParticleSearch]

@Crowdreply_io https://t.co/sSYiQDao4A

[ParticleSearch @ParticleSearch]

7/7

We pulled the framework together here:
https://t.co/eOTtVzprSY

The supporting guides cover catalogue health and when to use ranking, synonyms, or redirects.

[ParticleSearch @ParticleSearch]

1/7

Search analytics are clues, not diagnoses.

A high “products found” rate can still hide an irrelevant result, a buried best match, or the wrong variant.

The useful question isn’t “did something return?” It’s “what did the shopper actually see?”

[ParticleSearch @ParticleSearch]

6/7

The operating loop is small:

Check trust → choose one repeated pattern → inspect the live result → change one responsible layer → measure a comparable period.

The goal isn’t to make every metric rise. It’s to make one decision you can defend.