Farrukh Ahmed

About

Solo founder based in Pakistan, building letsflw - an all-in-one AI writing platform (100+ tools plus one-click workflows) after years in network administration. No dev team, no funding. Launching on Product Hunt August 2nd. Here to learn from other makers and share what's working (and what isn't) as I go.

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Maker History

  • letsflw
    letsflwAI writing tools with SEO, AEO & GEO built in
    Aug 2026
  • 🎉
    Joined Product HuntJune 26th, 2026

Forums

23d ago

How do you catch AI hallucinations before shipping AI-generated output?

Genuinely curious how other builders here handle this, because I don't think there's a settled answer yet.

If your product generates text, summaries, descriptions, code comments, whatever using an AI model somewhere in the pipeline how much of that output do you actually check before a user sees it? Full verification pass?

  • Spot-checks?

  • Trust the model and fix things when users report them?

  • Something automated?

How important is human-agent experience (HAX) in the AI space?

Memory (or context) is a very interesting problem in AI, but not for the reason most people think.
This is the first layer that needs to be EQUALLY READABLE BY MACHINES AND HUMANS (opinions are my own).
I have done an extensive analysis of the current products in the space, some of which are heavily funded like Mem0 or supermemory.
Current focus areas include making retrievals faster, hitting benchmarks, expanding the product surface (all valid problems).
But they're all missing the human-agent interaction part.
Right now, memory works like this: you give an context engine your memories as a dump and then it does its thing and start providing your agents the required context.
But keep doing it for a while (in any product of your choice) and then slowly it becomes a junk drawer where you know you put something but where was it, why did you add it, who changed it, poof. Good luck at that point.
This is one of the areas I'm obsessed with. How do we make context engineering as simple as a perfectly organized notion, and still ridiculously easy for agents to retrieve as well.
What I keep wrestling with in my mind these days: Imagine you are an AI-native individual with 100s of documents and dozens of ongoing clients, is a knowledge graph really the right abstraction?
What "context abstraction" would you want if you are working with agents day-in day-out?

23d ago

What is an early sign that your product is going to be successful?

A few days ago, I read a post on Reddit saying that if you don t reach 200 users for your tool in the first month (in this particular case, the guy was talking about a Chrome extension), then your tool is no good and you should move on.

I was scared for a moment because I definitely don t meet this with my extension (now I m somewhere around 75 users in 5 weeks).

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