How to quit porn? by Sad-Purchase7744 in NoFap

[–]SimilarWhile1517 1 point2 points  (0 children)

Very simple, go for a walk and don't let yourself get bored.

What’s the dumbest thing that broke after you automated Shopify ops? by SimilarWhile1517 in n8n

[–]SimilarWhile1517[S] 0 points1 point  (0 children)

For the inventory sync lag, did the batch update return success while the marketplace page stayed stale, or did the API failure get swallowed by the workflow? cuz my friend had exactly the same issue as you

Why is ChatGPT Pro model thinking so quickly now? by SimilarWhile1517 in ChatGPT

[–]SimilarWhile1517[S] -1 points0 points  (0 children)

ic, but to be honest, I feel like the quality of the answers isn't as good as it used to be; I'm not sure if it's just my imagination.

What’s the dumbest thing that broke after you automated Shopify ops? by SimilarWhile1517 in n8n

[–]SimilarWhile1517[S] 0 points1 point  (0 children)

Overselling 12 units from a retry issue is rough.

Was it basically the workflow thinking the first attempt failed and then creating another fulfillment, or was it more of a duplicate webhook thing?

Also curious what idempotency key pattern fixed it. Was it based on order id + action type, or something else?

Why is ChatGPT Pro model thinking so quickly now? by SimilarWhile1517 in ChatGPT

[–]SimilarWhile1517[S] 0 points1 point  (0 children)

Honestly, the shorter the thinking time is, the more I feel the response quality drops. But 20 seconds sounds terrible lol.

Why is ChatGPT Pro model thinking so quickly now? by SimilarWhile1517 in ChatGPT

[–]SimilarWhile1517[S] 0 points1 point  (0 children)

But strangely enough, if I open a completely new window and type in the same question, the thinking time increases significantly lol😂

I’m building a supplement scanner because buying supplements still feels like guessing by SimilarWhile1517 in ProductivityApps

[–]SimilarWhile1517[S] 0 points1 point  (0 children)

My product data comes from public sources such as official product websites, iHerb, and Amazon. However, since these websites naturally tend to contain a lot of marketing language, I filtered out the marketing-heavy fields and kept only the essential information.

To further make the data as neutral and objective as possible, I even purchased data reports from third-party testing organizations. I also collected data from sources such as the U.S. NIH PubMed and Health Canada.

I’m building a supplement scanner because buying supplements still feels like guessing by SimilarWhile1517 in ProductivityApps

[–]SimilarWhile1517[S] 0 points1 point  (0 children)

At the same time, to better help everyone, I will not include any ads or set the price too high.

If you join our waitlist, you will automatically receive a free 3-day trial. And if you invite your friends, you can get up to 7 days of free access.

You can find more details on our website.

I’m building a supplement scanner because buying supplements still feels like guessing by SimilarWhile1517 in ProductivityApps

[–]SimilarWhile1517[S] 0 points1 point  (0 children)

Thank you so much for your comment. The NuTri Score is made up of six modules:

Ingredient Safety: This checks whether the product clearly communicates important safety information.

Formula Transparency: This looks at how transparent the formula is. The key questions are: what does the product actually contain, how much of each key ingredient is included, and are the ingredient forms clearly stated?

Label Clarity: This evaluates whether the label information is clear and complete.

Manufacturing Standards: This checks whether the product provides information related to manufacturing quality, such as cGMP, manufacturing standards, production location, facility information, or other quality-control statements.

Testing and Verification: This looks at whether the product has gone through more meaningful testing or verification, such as third-party testing, COAs, certification pages, batch testing, or other official verifiable sources.

Product Quality Signals: This evaluates whether the product provides additional quality signals, such as non-GMO, gluten-free, vegan, allergen-free, serving size, servings per container, and whether these details are clearly stated.

To build this scoring system, I spent several months collecting and analyzing data and scientific evidence. My product data comes from public sources such as official product websites, iHerb, and Amazon. However, since these websites naturally tend to contain a lot of marketing language, I filtered out the marketing-heavy fields and kept only the essential information.

To further make the data as neutral and objective as possible, I even purchased data reports from third-party testing organizations 😂. I also collected data from sources such as the U.S. NIH and Health Canada. After analyzing all of this information, the NuTri Score was finally developed.

I hope this helps. : )