I lately as building a GitHub project(https://github.com/MathObsession...) with the goal to make a highly effecient and small voice assistant, I hope this is helpful.
Funchart is a very simple web app that: Let's you upload a CSV or Excel file. Uses AI to generate the most suitable chart for your data automatically. I d love your feedback Since this is just the beginning, it s completely free to use. I m posting here because I truly want to know: to generate the most suitable chart for your data automatically
Do you think this solves a problem for you? Is the one-click experience actually working? What s the ONE thing you d want me to add next?
Hi guys. I am seeking testers to help me test the application for Google Play Store production approval + General improvements feedback. I have created an app called "Easy Glow", EasyGlow is your personal skincare companion. Get AI-powered skin analysis, personalized routines, track your progress, and achieve your skincare goals. Features include daily skin scans, custom morning & evening routines, progress tracking, smart reminders, and expert tips. If you have an app currently in closed testing, I can assist testing your app as well.
EasyGlow - Apps on Google Play Please share your email with me if interested via this form and I will add it on Google Play console to access the app: https://forms.gle/vopQEK632J1GuWWk7 Thank you and stay blessed.
I ve been exploring a rules + LLM approach where you write plain-text rules (any language) and the system makes approve/flag/reject decisions in under ~500ms, with priority to resolve conflicts.
What I d love feedback on:
Is priority the right way to resolve rule clashes (e.g., Personal Attack 0.9 > Verified 1.0 auto-approve)?
Most fitness apps have quietly become engagement products. You open them to log a set of squats and end up tapping through five screens, past a social feed, past upsells just to enter a number. That's not a tool. That's a slot machine.
A while ago, I came across openclaw and decided to give it a shot. On paper, it looked promising but once I actually started using it, the experience didn t really live up to expectations. It felt slow, unnecessarily complicated, and honestly not very secure. On top of that, it had a lot of limitations and couldn t handle everything I needed it to do.
That s when I thought: why not build something better?
We re building SteadyStake, a decentralized and non-custodial Dollar-Cost Averaging (DCA) protocol live on #BNB, #BASE, #KAVA, #MATIC.
Users can automate recurring crypto investments while keeping full control of their funds at all times. No custody. No intermediaries. Fully on-chain execution.
Our goal is simple: make disciplined crypto investing easy, secure, and automated.