I run a tech site where we publish software reviews and comparisons, so this is something I want to get right.
A feature checklist can say two tools both support exports. But if one puts exports behind a $99 plan, that single checkmark hides most of the buying decision. The same goes for AI credits: a monthly price tells you very little without knowing what one finished task costs.
My vote is for showing the cheapest plan that can actually complete a specific job, with its limits beside the price.
Think of the last tool you tried or paid for. What did you only discover after signing up that you wish the comparison had told you?
English is not my main language, so bear with me :) I used to be a daily user of PH. Not as a contributor, but a lurker. I loved to discover new apps, services, ideas... However, after a couple of years of not using the platform, I returned only to find that an overwhelming majority of the products are just... AI.
Not necessarily saying I'm against AI products. That's a debate in itself, and not the point I'm trying to make. I'm just pointing out that there doesn't seem to be a lot of products or ideas around that:
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.
After more than three years of observing this platform (mainly in the forums), I can see which posts have helped you the most. [Yes, I can tell based on their performance.] In addition to updated news from the tech industry, you liked the most:
website roasting and
tagline adjustments/improvements for launch day (mostly from @aaronoleary )
"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.
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?
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've been posting discussions here for a few weeks. Some of the answers I got are better than anything I'd write alone.
Nobody in my LinkedIn network sees any of it.
Also what surprised me is how many people have never heard of PH at all. I assumed everyone in tech knew it. Turns out it's a fairly niche community, and half my network would need the sentence explained before they could care about it.
Some other things stop me to talk about it on LinkedIn Two audiences are different, so I'm not sure the conversation here means anything to someone scrolling there.
