Being an engineer myself, I see that many people are outputting more code than ever. Some of it being generated vs. written, the volume of code being outputted has definitely risen. There seems to be a shift from "is this something we can build?" to "should we build this and ship it?" For people who have been recruiting or looking to recruit recently, what roles are you hiring for?
Role title (I've seen a rise in PM's and Designers personally)
What exactly can they do that AI can't (yet)
Specific signal that you look for when hiring
Are you moving headcount from one type of role to another? Would be interested to hear from other growing teams!
While developing, we spent good amount of time in making small changes from UX perspective. And users liked it.
We continued to watch after our public launch. And visiting some customers' office and quietly observing them use MarketFit, gave us a few new insights- as small as removing 2 words from an onscreen message, or enhancing the video demo so that users are able to realize 100% benefits or just changing relative position of menu items.
I ve been experimenting a lot with AI tools like V0, Lovable, and Bolt.new to build small products and prototypes.
One pattern keeps showing up: most ideas don t fail because the idea is bad. They fail because the prompt is vague, confusing, or incomplete.
AI isn t a mind reader; it does exactly what you ask. If your prompt is fuzzy, your output will be too.
For example, I recently built PublicWall off a single well-structured prompt. Before that, I wasted hours on iterations that were mostly me not clarifying what I actually wanted the AI to do.
I m Alex (26) and I m building Payro together with my brother Chris @chrissxxn (24). We re based in Amsterdam.
We started our first business selling specialized hardware for blockchain projects when we were still teenagers, and over the years we ve shifted our focus to building SaaS products.
I m 19 and currently a junior at Purdue University, studying mechanical engineering. I m also working on a project called MoMoney, an all-in-one platform to help people learn how to trade and invest through hands-on practice.
Hey PH, I m Kerem, and I recently started building my first startup. Only 2 months in, but it s already clear: the startup world demands an entirely different set of skills than anything I ve done before.
I ve realized I m pretty decent at building, product, design, backend, but when it comes to marketing, outreach, and getting real traction... I feel way out of league.
I am Nishargo, one of the builders behind Bolo which is a voice-based emotional insight tool built for people like me, like you, like all of us who sometimes just need to be heard.
Vibe coding seems to be a popular concept these days. Instead of writing all the codes by themselves, developers are turning to natural language prompts to simplify the programming process. It seems much more accessible, efficient, and beginner-friendly.
So what about data analysis? It still seems highly professional now, and the majority of people naturally think that they cannot do the data work but have to resort to analysts for help. But maybe with the advance of AI data analysts, everyone can get a customized tool for them to do 'Vibe Data Analysis'--have the data analyzed simply by asking questions to AI.
They just need to upload their dataset, however large it is, ask questions in plain language, and wait for the tool to process. The tool analyzes the data and responds with clear summaries, visualizations of all kinds of charts, and actionable insights, enabling users to make decisions based on solid evidence, without having to spend hours learning softwares, coding skills, or just waiting for an analyst to free up.
For data analysts, their work may become much more easier, as the tools can take over and automate much of the tedious work like data cleaning and calculatiion. They can focus on more creative and valuable aspects, like digging deeper into the data, interpreting the results, and delivering insights to their clients.
In college, I built a clean little notice board for campus events - post, register, stay in the loop. That was the plan.
Then I got carried away. I added anonymous posts, upvotes, a forum - basically rebuilt Reddit for our college
I couldn t validate the original idea, and it slowly spiraled into a confused mush of features - trying to be too many things at once, and doing none of them well.
