I started my project in 2023 and posted here, made 20k that year. The traffic has been slowly decreasing during 2024, and last October, I was officially entering losing territory, where the cost of running it exceeded the total earnings (mostly due to free trials).
It's been a good journey. Thank you so much to whoever keeps running this thread!
Just a small comment, as I don't know if you're planning to wrap up or keep maintaining the product...
I can't find the pricing of the product on the site, I only find that I get '10 free credits', but I don't know how much a credit is and what can I do with it.
Home page says it's one credit per diagram, but then the docs say it's a certain amount of credits per modification (that could be correct or not, I guess...)
I usually skip if I can't find the price, but it could also happen that people create the trial account, spends quickly the credits, then they find the price and it doesn't fit them. Of course, there's always people coming just for the free credits.
I don't know if this is helpful to you or not, but I hope so :)
Thank you so much, that is a fair point! It's part of a series of mistakes I made, the product started out as a free to try and only showed the pricing after the user used up all their credits (I didn't even have a landing page back then). I'll update the landing page to make this clear!
how do you deal with continuous Google-degrading-risk?
I stopped a site lately i ran for 10 years, because Google changed the ranking so often over the years, finally traffic drowned nearly completely like 1k visitors per month, it was so frustrating so I just stopped the webserver after so many years.
Many reasons: 1) lack of marketing, 2) I stopped working on it for a while, 3) because of #2, the app lacks new features to attract users.
Another one but turned out it was never really a big deal: some chatbots from frontier AI labs started to support those niche features (people still coming to my app for the flexibility of using multiple AI models).
I think the biggest problem was #2, life kept pulling me the other way.
Hey, I'm the author of the post. Thank you so much for the kind feedback!
Speaking about total time/cost, this experiment cost me just $1.01 for 2h30 on a rental GPU. But the actual successful run was less than 10 minutes for both phases. The rest of the time I was spending fixing the code, tuning the params, train, and retrain. It took me about 6 hours to build and clean the two datasets, though.
For the next step, I'm thinking of improving the model accuracy, maybe with RL, but I would not go about shrinking the model size any lower. Prior to this, I've tried a lot of different model sizes on different kinds of tasks, from 135M to 4B. I'm not sure I like the performance of these small models for code generation :D
+1 to this! Paged Out! was inspired by some of the 1980s / early 1990s magazines (though Polish ones, like "Bajtek"). They could get stuff done on 1 page, which commonly was shared by multiple articles too :)
I came to the article hoping to see the list of affected extensions, so I can check if I ever installed any of them. All I get was a list of extension ID at the very bottom of the post. Is this some sort of security practice to not promoting malicious packages or something?
That's my first thought, but it would still be helpful to have a list of names, since many people has switched browsers many times in the past, or used many different devices personally.
Most of the apps to learn Japanese/Chinese seems to focus on the reading part, where it will present a word, and ask the user if they remember the meaning/pronounciation.
I find that I learn much faster (and remember a word for longer) when I focus on writing, instead of just... look. And writing is something most apps just skip. Some apps do show the animation of the stroke orders, but I think the user needs to be proactively write it down somewhere to remember it better.
Not Asahi but I recently revived a 10-year-old MacBook Pro (MBP 2015) that had been sitting in my closet for many years by installing Fedora on it. To my surprise, it's fast and sleek, just like a brand new computer. All of the drivers worked!
The laptop now serves as a desktop when I'm at home and as an SSH server when I'm at work. And my 5-year-old M1 MacBook is now sitting in the closet, waiting for its turn in the next 10 years.
Except for all the issues running ARM, 16k page sizes (cuts out some flatpaks!), and the stuff that's not yet implemented like dispaly out on thunderbolt.
It's been a good journey. Thank you so much to whoever keeps running this thread!
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