I used it for a year or two, but eventually went back to iTerm because I found the UX to be over-complicated and slowed me down. (Also, I'm a dinosaur with too much muscle memory to overcome...) But the AI features were interesting, so I'm curious what ya'll see as alternatives, or if you think I should give it another shot.
Every one of them looked good on paper. Scalping on order flow, mean reversion, the Turtle rules across 19 markets, a Sunday gap trade in forex, funding and ML filters on top of a trend strategy.
Real data killed all of them. The one that survived is a plain trend follower on ETH: +79.5% over 6.5 years in backtest. Buy and hold made far more, but its worst drop was 79%. The bot's was 6.9%.
Thinking about shipping my next mobile app in several languages from day one instead of English first.
For those who tried it: which languages actually brought installs, and which ones weren't worth the effort? Curious whether German and French users really convert better, as people say.
I saw Shimmer on the leaderboard today and wondered if AI can be used to help people with ADHD or similar neurodivergent traits. Here's the link to Shimmer launch in case you haven't seen it yet. Managing focus, organizing tasks, remembering important things, and balancing productivity with self-care can sometimes feel overwhelming. Tools like Shimmer are definitely helpful. Have you also come across any specific AI-powered apps or tools designed to assist with ADHD? I d love to hear your experiences or recommendations in the comments! :)
"I was frustrated by x, so i built y" is basically every launch post here. Doesn't tell me anything about whether the product's actually good.
What i actually look at now: The changelog. How fast something's shipping, what they're fixing, whether they're responding to their own users publicly. That tells you more about whether a team can execute than any origin story ever will.
Anyone can have a relatable problem. not everyone can consistently ship the fix.
When I first started designing, I focused a lot on making interfaces look polished. Over time, I realized usability and clarity usually matter more than visual effects.
One example for me was simplifying layouts instead of adding more components. Users completed tasks faster, even though the UI looked less "fancy."
I m making the video & static creatives myself and figuring out Ads Manager as I go. It s working, sort of, but I have no reference for what good looks like yet.
If you ve done this before: what did you get wrong in the first month that you d tell someone to just not do?
I attended a VoiceAI event held by NVIDIA at their Bengaluru, India office. It was very interesting to see all the startups that presented. Adi Margolin, Product Manager at NVIDIA, added a lot of her own insights at the work being done by her team in this field. For India especially, a country known for 121 major languages and about 20,000 dialects, there's a big challenge to be overcome. However, some of the results showcased were promising, with some teams targeting low latency, while others focused on improving accuracy. Interestingly, a lot of these startups are developing voice agents for the medical industry, like for eg. answering queries by patients for prescriptions. I would love to know what all your thoughts are. I've found this an interesting concept ever since I've had an Alexa device in my home. Do you think think that Voice AI has the potential to be the next step after chatbots?
Got three outreach messages this week that all mentioned something specific about my product, referenced a post I made, sounded like someone had actually looked at what I do. Replied to one with a simple question. Took them over a day to answer something a real person would've typed back in a minute.
That's the weird part now. A bad cold email used to be easy to spot, generic greeting, no personalization, obviously copy pasted. Now the personalization itself is automated, so the one thing that used to signal someone actually cared doesn't mean anything anymore.
I wonder how people are handling this from both sides. If you send outreach, are you leaning into AI personalization or avoiding it because you think people can smell it now. And if you're on the receiving end, has anything actually worked to tell real interest apart from a well disguised template before you waste time replying.
