Hey everyone, I'm Gr goire, building Klooset, an AI stylist that sits on fashion product pages. We're launching here soon, and before that I'd love to hear from people who actually shop online.
When you land on a piece you like, what makes you hesitate? Not knowing how it'll look on you, the size, the color, not knowing what to wear it with, something else?
And if you run a fashion store, what's the question customers ask your support team the most before buying?
I'll read everything and reply to everyone. It'll directly shape what we ship.
I'm Haiyun, founder of HPSILab. If you're building an AI workflow for stock research, here's a compact acceptance test you can adapt to any data provider.
Scenario: a model's directional signal is positive, while volatility is elevated and an options pressure level is nearby. These inputs describe different things. The agent should preserve the disagreement rather than turn them into one confident recommendation. This is an illustrative scenario, not a current market observation.
Ask your agent to produce five fields:
1. Evidence: each input, its source, and the available as-of date.
Hi Product Hunt, I'm the maker of AI Startup Jobs.
A couple of weeks ago I started collecting open roles from AI companies into one board, mostly for myself job hunting meant thirty open tabs, and salary info hidden until the final round.
Today it holds 7,074 roles at 112 companies, refreshed daily. The part I care about most: whenever a company publishes a salary range, we show it right on the listing. Only 37% of roles publish one. The median midpoint is $247K, and $285K for engineering roles.
A small milestone I loved: our very first subscriber was a complete stranger who found a job page through search on day one. That's when it stopped feeling like a side project.
I ve been talking to a bunch of creators lately and noticed a pattern. Most spend a surprising amount of time searching through Google Trends, YouTube trending, X, Reddit, etc just to find one or two solid content ideas.
Some said they lose 1 to 2 hours a day. Others feel like they keep spotting trends only after they re already saturated.
For people who prepare equipment quotes at small sales or installation businesses:
I m building a small quoting prototype at AlphaLabs. It lets you choose a customer, add products from a shared catalog, adjust quantities and options, and prepare a customer-facing document for PDF or print.
This screenshot shows the customer-facing document preview and uses fictional companies, products and prices. This hasn t been tested in a customer s day-to-day workflow yet.
When a customer changes the products or quantities, what do you have to update manually before sending the revised quote? A recent example would be helpful. Is anything important missing or unclear in this preview? If your existing spreadsheet or software already handles this well, I d like to hear that too.
