I m a solo dev, and I recently ran into a massive data architecture problem while building a personal tracking tool.
I originally tried using standard habit and symptom trackers, but I realized they almost all fail when dealing with overlapping data: situations where one event or routine completely masks the effect of another.
If Input A causes a negative reaction, but I immediately apply Treatment B to cover it up, the raw data simply logs that "Input A led to zero issues." The app basically lies to the user because it treats every log in isolation and can't separate the overlapping variables.
To solve my own problem, I had to stop using generic trackers and build a statistical model (using Elastic Net regression) in the background to calculate true correlations and filter out the noise.
Twitter's paid subscription has been confirmed. At $2.99/month it includes features such as Collections Reader Mode Color Themes Custom App Icons AND AN UNDO BUTTON!
(https://twitter.com/i/status/136...) Would you pay to undo?
Curious how other builders are handling AI tool sprawl right now.
I went from one chatbot to a daily stack: chat, image, video, docs, research, maybe a second model for code. Different logins. Lost context. Half the day spent switching surfaces instead of finishing the job.
For people living in that stack:
Roughly how many AI tools do you touch in a normal day?
Each of us leaves a digital footprint on the internet. The only difference is how much data and information we share publicly about ourselves.
For example, my local friend doesn't use his photo or name on his profiles so that no one will associate him too much with his income or political ideology.
This question is for employees who have or would like to transition to working from home, but employers are free to respond with their thoughts as well.
I run an offensive security firm (SDX Shadow Labs), and we spend a lot of time pentesting early-stage startups and MVPs. I love the speed at which indie hackers ship, but I see the exact same 3 critical vulnerabilities in almost every new product.
If you are building an MVP right now, check your codebase for these:
1. The "Hidden" API Endpoint You built a feature, decided not to launch it, and hid the UI button. But you left the API endpoint live (/api/v1/export-users). Attackers don't need UI buttons; they just query your API directly. Delete dead code.
