When I started my first job after school at a small local agency, a project manager once said something like: If someone has three companies on their CV and stayed less than a year in each, it doesn t look good.
I took that to heart. I tried to stay longer in every role, so I wouldn t seem unreliable, even in underpaid jobs I didn t enjoy. I endured it just to make my CV look stable. In hindsight, it was a little bit stupid. (Sometimes a waste of time.)
Today, I m doing a slightly more relaxed and bizarre corner.
The internet is full of things that are either amusing or scary, but mostly things that capture something outside the norm (and over time, even these weird things tend to become normalised).
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?
Last year we hired a design agency to build our marketing site for @Basedash. They did an incredible job. The headline makes it sound like I'm dunking on them, but I'm not. The site was genuinely great. They built it in Framer so we could manage content ourselves, which was a completely reasonable bet at the time (and something we explicitly asked for).
When I interviewed for my current company, I had a conversation with the Founder and PM that lasted more than an hour. Interestingly, only about 30% of the discussion focused on my experience which made sense, since my background wasn t directly related to the role I applied for.
The remaining 70% of the conversation was about how I approach real-world problems, my mindset toward the work I would be doing, and how I envisioned growing in the role. They also asked why I chose this product and company, what it meant to me personally, and how I hoped to contribute moving forward.
After our first launch on Product Hunt, our team spent a little over a month upgrading the product. There were major changes to the UI and several new features added, so the process took time from discussions and redesigning the interface to testing, fixing bugs, and updating AI prompts.
We re also a very small team, so everyone had to push themselves to give 200%. Time and resources are limited, and at the same time, we also had to work on securing funding for the next six months to keep the team running and continue developing the app.
Today, I read in Techcrunch that India has an ambition to "compete" with the US and China in the startup scene:
India has updated its startup rules to better support deep tech companies in sectors like space, semiconductors, and biotech, which take longer to mature.
What was the reason for any YC rejection you faced in the past? And what would you suggest future founders do differently with their profile/ idea/ application to minimize downside?
As usual, Y Combinator came up with segments that are worth investing:
1. Cursor for Product Managers
2. AI-Native Hedge Funds
3. AI-Native Agencies
4. Stablecoin Financial Services
5. AI for Government
6. Modern Metal Mills
7. AI Guidance for Physical Work 8. Large Spatial Models 9. Infra for Government Fraud Hunters 10. Make LLMs Easy to Train
I am trying to do something a little bonkers - I want to build an app when I am a bit of a technophobe! I am a product designer - so it's not entirely crazy but social media, online forums is all really alien to me. I'm looking to put the feelers out there to understand the demand for the idea - any tips or tricks? The vague idea - without giving the game away.... People are incredible at tracking workouts, steps, sleep, macros
but somehow still stare at a single mug in the sink like it s a moral dilemma.
I m exploring an idea around why everyday maintenance tasks feel heavier than they are, and how the same psychology that keeps people hooked on fitness tracking might work for real-world chores.
I've built my product around traditional SaaS pricing (monthly tiers), but I m starting to wonder if that model is getting outdated, especially with more AI-powered and compute-heavy tools entering the market. That shift requires real architectural changes, instrumentation, metering, billing logic, and UI changes, not just pricing tweaks. It s something I m starting to seriously think about for my own product.
In particular, AI usage has real COGs (every prompt costs money), and I m seeing more platforms experimenting with usage-based models, or hybrids like SaaS base + usage + overage.
For those of you building AI or compute-intensive tools: