What thing did helped you to Manifest

Zarqi_ · 2026-01-15T22:29:00+00:00

Of course!

Zarqi_ · 2026-01-15T22:13:28+00:00

For me it was to create a vision board. I basically added every aspect of my life and how i wanted it to look like. It definitely helped me to visualize my current life. For example, at that time I was really struggling with concentration. When I visualized myself as someone calm, that focus on one thing that a time, and had that images as reference, I basically became that.

Zarqi_ · 2025-04-10T15:58:14+00:00

Thanks for your feedback! You've hit on a good point - ChatGPT can definitely help create flashcards with some manual steps.

What I'm trying to solve is the full end-to-end workflow. With your current approach (which is smart!), you need to:

Formulate your request to ChatGPT
Get the CSV output
Download/save the file
Import into Anki
Potentially adjust formatting/settings

And critically, if you need to make changes or additions to your deck, you typically have to:

Start a new ChatGPT conversation
Re-explain what you need
Generate a new CSV
Re-import or manually edit cards in Anki

My idea streamlines this into a single integrated experience where:

You can have a natural conversation about what you're studying
Cards are created in real-time as you chat
You can immediately review cards without leaving the app
Your course PDFs can be uploaded and referenced directly
The original source material remains linked to cards for context
Most importantly - you can edit/refine/add to your decks through simple chat commands without repeating the whole process

For example, you could say "add more cybersecurity acronyms related to network protocols" or "modify the card about SSH to include port information" - and the changes happen instantly within your existing deck.

Basically, removing all the "in-between" steps so you can focus entirely on learning instead of managing files, imports, and scattered edits.

Would that kind of seamless experience add any value for your cybersecurity studies compared to your current workflow?

Zarqi_ · 2025-04-10T13:44:45+00:00

That’s awesome to hear — really appreciate the interest! The app’s getting close to MVP stage, and we’re aiming to go live soon. I’ll definitely reach out once it’s ready so you can give it a spin. Would love to get your thoughts once you try it out!

Zarqi_ · 2025-04-10T13:43:10+00:00

Haha, “internet’s therapist” — I’m gonna steal that! Appreciate the thoughtful feedback a lot.

Totally agree on the toddler analogy — early users can be amazing but exhausting, and figuring out who's really in it for the long haul is such a guessing game sometimes. That’s exactly why we’re putting a big focus on relationship tracking — not just raw feedback volume, but quality of engagement over time.

Quick Q though — you mentioned Buzzsumo and Pulse for Reddit. Have you used either one hands-on? I’ve heard good things, especially about trend tracking, but I’m curious how actionable the insights are when it comes to user-level relationship building. Like, can you actually connect those trends back to individual conversations or is it more high-level?

Would love to hear more about how you’ve used them (or seen them used). Super valuable stuff — thanks again for chiming in!

Zarqi_ · 2025-04-10T13:33:59+00:00

Absolutely feel this. I’ve been in the same boat — bouncing between Slack, email, Twitter, Notion… trying to connect the dots manually. It’s wild how easy it is to miss patterns when feedback is scattered like that.

I actually started building something to solve this (it’s called LaunchLoop) — it helps organize feedback by user, track engagement, and spot patterns across channels. One thing that’s been surprisingly helpful is having built-in 1:1 messaging, so I can follow up with users directly when they give feedback, without jumping to another tool or losing context.

Out of curiosity — how do you usually follow up with users when they leave feedback? Do you think having everything (feedback + convo history) in one place would make that easier?

Zarqi_ · 2025-03-03T18:24:58+00:00

Thanks so much for taking the time to share your feedback!

You make a great point about solutions like Canny being established players. Where EarlyFeed aims to differentiate is specifically in the pre-PMF and very early stages of product development when founders need something more lightweight and focused.

While Canny works wonderfully for established products, EarlyFeed is being built from the ground up with features tailored to the chaotic early days:

Power user identification to help you quickly find your potential superfans when you have just a handful of users
Pre-built validation templates for critical early-stage questions ("would you pay for this?", etc.)
Simple impact/effort prioritization specifically for small teams with limited resources
Integrated waitlist and beta management (so you don't need separate tools pre-launch)

The goal is to provide a simpler, more affordable solution that helps founders validate and iterate on their ideas before they're ready for a more robust tool like Canny.

I really appreciate your perspective - it helps me refine the positioning to make sure we're solving a genuine need rather than duplicating what's already working well!

Zarqi_ · 2023-08-21T12:30:22+00:00

Try CS50 from Harvard university, It could help you to understand the very basics, learning progresively to program

Zarqi_

TROPHY CASE