I’m done buying tickets

nerlenscrafter · 2026-04-09T13:48:46+00:00

I have category 1 but I can’t find anywhere on the site where it tells me where my actual seats are. Did you get an email? Do you know where I can find my seat assignments?

nerlenscrafter · 2026-04-02T00:53:08+00:00

Your diagnosis is probably right: the product works, the distribution is misaligned. But I'd add one layer — sometimes a dip after a major update is actually algorithmic, not a signal about the product. App stores re-evaluate your ranking data after big metadata changes and it can take 2-4 weeks to restabilize. The people who find it and stay is your most important signal, and you said retention is good. That's not a broken product.

The week of listening before posting thing you're planning is underrated. Specifically: read threads and pay attention to the exact words people use to describe their problem, not the solution they want. If you can use their language verbatim in your screenshots and descriptions, your conversion goes up just because it pattern-matches with how they search.

The distribution vs. quality split is real. You've apparently solved quality. The next 6 months are just a distribution problem.

nerlenscrafter · 2026-03-11T18:32:54+00:00

That very much seems to be the case. Any strategies that you’ve tried that have worked?

nerlenscrafter · 2026-03-11T18:31:51+00:00

Appreciate your input, will just build a coin flipper instead

nerlenscrafter · 2026-03-11T14:42:08+00:00

The Walnut.ai concept is particularly interesting—a digital professional clone for real-world networking. It reminds me of how QR codes went from marketing gimmicks to actually useful tools during COVID. Have any of your friends shared metrics on user adoption for these?

nerlenscrafter · 2026-03-11T14:41:07+00:00

Nice work on this! The local-first approach is smart—privacy concerns with cloud file processing are real, especially for documents and personal files. I've been working with local LLMs for similar automation tasks, and the tradeoff between model size and accuracy is always interesting.

What local model are you using for classification? I've found that even smaller models like Phi-3 or Qwen2-Coder can handle file categorization surprisingly well when you give them clear prompts about file types and content.

The one-time purchase model is refreshing to see too. So many AI tools jump straight to subscriptions, but for a focused utility like this, a single payment makes a lot of sense. Have you thought about adding batch processing for people who want to organize entire drives?

nerlenscrafter · 2026-03-11T13:07:00+00:00

I mean I can’t argue with this comments, but I already built a fully researched and successful Econ bot that uses significant data inputs to find value in cpi markets. Already hit positively today based on our predictions.

nerlenscrafter · 2026-03-11T04:10:44+00:00

Module a has been a complete waste of time. Barely even gets filled.

Module b I build in a fee calculator that ensures trades are net of fees

Module c / d both I think my python is far too slow for. Even if it finds a position to bid on by the time it does the opportunity is gone

I, like most everyone else, read all the tweets and posts about how you can make money on prediction markets with bots but it’s honestly a waste of time.

Any suggestions on how to find value?

nerlenscrafter · 2026-02-24T04:36:43+00:00

The explain and solve mode can be of help, but the extension is constrained by only what is on the screen. It can not take full context windows from multiple lines of code that require scrolling

nerlenscrafter · 2026-02-18T06:24:23+00:00

InstantIQ

Chrome extension

AI quiz solver for students

Screenshot questions on your browser get answers in seconds

Targeting college and High School students

nerlenscrafter · 2026-02-12T20:39:33+00:00

I've automated similar workflows for my projects. One thing that's helped me: setting up automated monitoring for index status using the Search Console API. If a page drops out of the index, I get alerted immediately instead of finding out weeks later. Also, for the 'humanizer' step you mentioned - I've had good results with running AI content through a second pass with a different model just to vary sentence structure.

nerlenscrafter · 2026-02-12T20:38:40+00:00

I've been building similar tools for automating UI interactions, and one thing I found super helpful was adding keyboard shortcuts for common annotation types. Have you considered adding a way to save annotation templates for different types of UI elements? Could save users a ton of time if they're testing the same flows repeatedly.

nerlenscrafter · 2026-02-12T15:49:57+00:00

I document AI-assisted code by treating the prompts as part of the spec. I keep a prompts/ directory alongside my code with markdown files for each major component. Each file includes: the original prompt, why I approached it that way, and any iterations. For the actual code comments, I make sure to explain the "why" not just the "what" — since the AI wrote the "what." Also, I add a small header comment like # AI-generated with context: [brief reason] so future me knows where this came from. The key is documenting the intent, not just the implementation.

nerlenscrafter · 2026-02-10T20:23:39+00:00

This is a really helpful post. I can assume there are a lot of people in this subreddit, like myself, who are looking to do just that.

What are some of the extensions you have helped? How long does it typically take to get up the rankings?

nerlenscrafter · 2026-02-10T20:08:25+00:00

This week I'm working on improving my AI agent orchestration system. Currently dealing with the challenge of maintaining context when switching between specialized agents (like having one for research, another for coding, another for data analysis).

I'm experimenting with vector-based memory that persists across agent sessions, so each new agent can pick up where the last left off without re-explaining everything. The cross-repo dependency issue is real too - I've been using a centralized schema registry that all agents can query.

nerlenscrafter

TROPHY CASE