Hey Indie Hackers! I Built LongTerMemory to Automate My Own Study Routine. Here is My Story

August 29, 2026

As a software engineer, when I was preparing for a demanding technical certification, I ran into a familiar bottleneck: going through hundreds of pages of documentation and manually creating flashcards for active recall took more time than the actual studying.

To speed up the process, I wrote a quick personal script. It used AI to parse my study materials, automatically generate practice questions, and schedule reviews using a spaced repetition algorithm. The system worked exceptionally well, saving me dozens of hours and helping me pass the exam.

After sharing the tool with a few fellow developers who immediately wanted to use it themselves, I realized this was a widespread problem worth solving. I polished the project, built out a proper UI, and launched LongTerMemory as a full SaaS. What started as a simple script to optimize my own study routine is now a web and mobile platform used by students and professionals worldwide.

Alessandro

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its a very great personalised work

sattu62

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6 days ago
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Really interesting product, especially the jump from manual flashcard creation to an automated study system.
One area I’d be curious about is trust in the AI-generated cards how do you help users quickly spot duplicates, weak questions, or content that isn’t actually aligned with their exam syllabus?
A lightweight quality-control layer could make the automation feel much more reliable, especially for high-stakes certifications.
Curious if you’ve seen this become a real issue with users so far?

Tayyaba Sajjad

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7 days ago
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  About the card trust aspect, it essentially comes down to this: 1) Providing the model with as much context as possible 2) Constructing the prompt dynamically and in as much detail as possible (the prompt that will generate the Q&A pairs) 3) Using a good OCR model for content chunking and parsing (I use LlamaParse, which is phenomenal)
  
  Alessandro
  
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  7 days ago
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    That makes sense. I like the context-first approach, especially for certification material where small parsing errors can affect the quality of the cards. One thing I’d be curious about is how you validate the final Q&A after generation do you have any automated quality checks or user feedback loop to catch incorrect or ambiguous cards over time?
    
    Tayyaba Sajjad
    
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    7 days ago
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      I'm going to implement a user feedback loop to catch wrong cards
      
      Alessandro
      
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      7 days ago
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        That could become a really valuable feedback loop. If you can turn user corrections into signals for improving generation quality not just fixing individual cards it could make the system progressively more reliable for high-stakes exams. I’d be very interested to see how that affects card quality over time.
        
        Tayyaba Sajjad
        
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        6 days ago
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The fact that fellow developers immediately wanted the personal script is a stronger signal than the original problem itself. Curious whether the strongest demand is still from technical certification prep, or whether broader study workflows are now pulling more users.

Aryan Sinh

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7 days ago
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  In my opinion broader study workflows pull more users today. Do you think there will still be traction on that?
  
  Alessandro
  
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  7 days ago
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    I think there can be traction there, especially if the broader workflow still solves a recurring problem rather than becoming a generic study tool. The interesting part will be whether users keep coming back for the automation itself.
    
    Aryan Sinh
    
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    7 days ago
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      What do you mean with: "workflow that solve a recurring problem"? For example?
      
      Alessandro
      
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      7 days ago
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        I mainly mean a use case where the same study problem repeats often enough that automation becomes part of the routine, rather than something people use occasionally.
        
        Aryan Sinh
        
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        7 days ago
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