Pyflo is a different kind of search engine

Most of us have had the same frustrating loop: your sink is leaking, your laptop is overheating, or you want to cook something new — and the first page of Google is a wall of content farms, sponsored guides, and affiliate listicles padded with fluff. You scroll past three of them before anyone answers the actual question.

Pyflo exists to skip all of that. Type a problem in plain language. Get the fix. Get the exact list of things you need to buy. Done.

How it works

You type a question the way you'd ask a friend — "my kitchen sink is leaking from the base", "best laptop for a design student under $1500", or "how do I make cornbread that isn't dry". Pyflo reads your question, figures out what you actually need (quick fix vs. long-term repair, skill level, dietary needs, region-appropriate stores), and returns a structured answer with:

• A step-by-step solution, written in the tone of someone who has actually done the thing — opening with the most common mistake people make.
• A curated list of products or supplies, with prices, tradeoffs, and links to stores that actually carry them in your country (Canadian users see Canadian Tire and Superstore before Amazon; US users see Home Depot and Target).
• Follow-up questions that would change the answer — so you can narrow in without re-typing a new query.

Why the answers are good

Three boring reasons:

1. We use a frontier AI model (Claude Sonnet 4.6) instead of whatever's cheapest. That single choice is the difference between "generic three-bullet answer" and "oh, that's actually useful".
2. We verify product recommendations. The model names real products, we check the retailer list is geographically appropriate, and we strip anything that doesn't actually exist or can't be bought. If the model tries to list a fictional gadget, we catch it before it reaches you.
3. We cache good answers forever. Once a question is answered well, we remember it. Later we re-test the answer against the current web to make sure it hasn't gone stale — if the world changed, the answer updates.

What makes Pyflo different

Private by design

Your queries aren't indexed. We don't publish your question to Google as a "/solve/how-to-stop-my-cat-from-scratching-the-couch" URL like most search wrappers do. Every answer has a random, unguessable share URL only visible to people you give it to. If you share it, great; if you don't, nobody else sees it.

Local-first recommendations

For groceries and perishables, we put local stores at the top of the list instead of Amazon. Buttermilk and flour should come from Superstore or Metro, not shipped from a warehouse. For cookware and tools, Amazon leads. The order follows what actually makes sense for the category.

Honest monetization

Pyflo makes money two ways: affiliate commissions when you click through to a retailer, and display ads supplied by Google. Neither affects the answer you get — we recommend the same products whether there's a commission or not. Advertising is labeled as such and never shown next to sensitive queries (health, finance, crisis topics). Full details in our advertising disclosure.

Who made this

Pyflo is a small independent project based in Calgary, Canada. The codebase runs on a single GPU with a request queue — at peak load your question waits in line, you can see your spot in the queue, and if you want to jump ahead there are credits for that. No VC, no tracking empire, no enrichment for its own sake.

Questions? Feedback? Tell us what worked or didn't — we read every email. agent@pyflo.com.