Three months. Two developers. One feature nobody used.
I knew it was bad when I checked the analytics and saw that the only person who used it more than once was me. And even I stopped after the second week.
Here's how I knew it was a waste of time. Not in hindsight. In the moment. I just ignored the signs.
The first sign: I couldn't explain it in one sentence.
When you build a startup, it is easy to fall in love with your own product. The landing page looks slick. The app feels polished. In your head, it seems obvious people should be showing up. Then reality hits. No traffic, no users, no momentum. You start wondering how something that feels so good can still feel invisible.
That was my wake up call with Brzzy Weather. I thought if I built a great weather app and optimized around weather app search, people would find me. Instead, I got humbled fast. I was basically a nothing burger buried deep in Google(does anyone even use Bing?), somewhere around page five, and most people searching never make it past the top few results. It made me realize that having a product is not the same thing as having a funnel.
In the last week, I was restricted twice on LinkedIn (where I have a community of more than 8k+ people) (the first time for 48 hours, the second time for 72 hours).
While building JusRecruit, we kept hearing the same challenge from recruiting teams:
A single job posting can attract hundreds or even thousands of applicants, but recruiters still need to manually screen resumes, schedule calls, and filter candidates before the hiring manager sees them.
It slows down hiring and takes a huge amount of recruiter time.
I've been thinking a lot about how people actually stick to their goals. There seem to be two camps:
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iOS and Android.
We just published a new case study on Cartly, an iOS app that uses Mnexium to power a full receipt-tracking AI workflow. We really wanted to see what it would take to get a demo like this up and running.
In the post, we walk through how Cartly uses:
Memory for user preferences and continuity
Records for structured receipts and receipt_items storage
A single mnx runtime object to control identity, history, recall, and record sync
Request trace packets for auditability and debugging in production
A couple weeks ago, Boris Cherny (the creator of Claude Code) shared a bunch of really useful tips on getting the most out of Claude Code. #1 at the top of the list: do more in parallel. He himself runs 10-15 Claude codes in parallel.
His advice and practice makes sense: coding agents give us the ability scale infinitely. At this point, the only real limiter is our own ability to manage all of these agents.
At the beginning of the year, 2 co-founders reached out to me because they wanted to scale their personal LinkedIn profiles. The reason: In a few months, they re planning to raise funding and believe their personal brand could help.
A few days ago, another founder contacted me with a similar intention, although he s not planning to raise funding. For him, LinkedIn has become the platform that generates the most leads. He doesn t particularly enjoy the network itself, but he still wants to keep building it.
I recently saw a marketer with 10k+ followers launch and finish 6th with 348 upvotes. They followed a proper pre-launch and post-launch plan, did everything right, and still the outcome felt unpredictable.
Now I m launching @Curatora next week.
I m not a marketer. I have a little over 1k followers. Of course, asking for support helps. But I also keep hearing that a large part of the Product Hunt community shows up mainly for their own launch, then goes quiet until the next one.
That makes me wonder: how much of success here is strategy, and how much is timing and network effect?
Since I haven't been able to meet my work goals very well in the last few quarters, I now plan to approach them more systematically and not push myself too hard on work goals, as that ultimately led to problems that made my plan less sustainable.
