I ve visited 42 countries so far still chasing cultures, hidden gems, and stories worth remembering. But every trip left me fighting the same frustrations
I hope I can get some advices here. I am developer, a solo developer. I make my project, snapencode.com. It is a self-host video platform. The idea is you buy license one time, for lifetime. No more monthly pay. You own it.
The building part, is fun for me. I love code. The logic.
Lately it feels like everywhere I look there is content being spun up by AI. Blogs / emails / socials etc. - all starting to sound kind of the same. I'm really starting to notice it in my own inbox - tons of emails feel polished but a little... robotic? Clearly an LLM has had a hand in it (mind you its great when working with customers who speak another language).
It makes me wonder if the real pivot is actually back in the other direction. Do we start to see copy that is more casual / almost raw and unpolished (slang / grammatically incorrect haha?) and more human as a way to stand out?
When LLMs get really good at writing polished copy from prompts - what role is left for humans? (dystopian kinda) Are we just lightly amending what AI writes, or is there a bigger opportunity for people who lean hard into personality, community, and voice in a way AI cannot replicate? (its likely AI will soon be able to replicate this **)
I feel like there might be a split coming... AI will take care of the bulk content (support docs / SOPs / Technical docs etc) but the stuff people actually connect with (landing pages / positioning for brand etc) could end up being unpolished / human and super casual. Curious how others see it. Do you think authenticity becomes the main differentiator or does copy evolve in a different direction? (I'd love to hear what direction people see things evolving?) What % of your posts are written by AI? (for bonus points)
The EU s proposed Chat Control Law would scan all private communications for child abuse material, but critics warn it undermines privacy, weakens encryption, risks mass surveillance, and could expand to policing political dissent.
Let's talk about that uninvited guest that shows up around month 3 of building your startup. You know the one. You started with fire in your belly, convinced you're building the next big thing. Then slowly, quietly, it creeps in:
Hey, Artem here. I left Meta in Apr 2024 to fully dive into realm of GenAI. I knew back then that with the pace of development the distribution wins, not the product. So I spent a year cracking SEO and wasting tens of thousands on ads so you don't have to. Happy to share my learnings and answer your questions. Some stats. As of now our app has over 200k registered users with up to 700 joining daily. Before AI summaries we've reached 200k monthly visits on the website. And then crashed hard in the past few weeks. We also iterated on product like crazy and learned a ton. Ask away!
What started as a way to stay in touch with classmates and friends has turned into something entirely different: a place where everyone, from students to CEOs, is creating content, building audiences, and gaining professional exposure.
It is a question of choosing between two evils for us now. Neither option is completely free of flaws.
Human: Recruiters with "gut feelings" who harbor unconscious bias. they reject excellent candidates who just didn't go to the "right" school or didn't just "click." Inconsistent, unfair, and un-auditable.
AI: Algorithms whose training datasets are themselves replete with historical biases. They increase the scale of discrimination at light speed, becoming so-called black boxes that end up rejecting qualified candidates for reasons that humans cannot even fathom.
We are truly deciding to exchange messy, subjective human prejudice for cold, ruthlessly efficient algorithmic prejudice. Is that really an upgrade?
I want to hit an api with some text and get a "likekyhood of ai generated" score. does this exist already? I would expect to have to pay which is fine!
I often see the media sharing articles about layoffs due to AI, how junior programmer positions are less in demand, how there is also a decreased interest in copywriters and graphic designers, etc.
About 2 weeks ago, Teammates launched a tool (AI HR-ist), and right now I came across a post from a local marketer who shared interesting data about Ask AI (an internal AI/chatbot system), which today handles almost 94% of all routine HR requests, such as:
vacation requests
onboarding new employees
payroll information and attendance records
benefit selection and answers to basic employment questions
Results of AI implementation at IBM
94% of the HR agenda is automated
Payroll, vacation, administration even terminations have been automated
$3.5 billion saved
40% drop in HR costs
IBM also claims that employees are happier. The HR department s internal NPS score increased from -35 to +74 after the implementation of AskHR (source: HR Asia). 6% of questions are still directed at people AI has not yet completely replaced complex or emotionally sensitive situations.
Building and launching products, testing them in real markets and building a business are like mini-MBAs. It teaches you a lot of things about human behavior, finance, marketing, sales, entrepreneurship, management and more.
We become wiser; and wish someone had given us the right advice at the right time.
I ve seen a lot of makers (myself included) start building with one idea, then pivot completely after talking to users.
I launched Waivify a simple digital waiver tool because I noticed yoga instructors and personal trainers still using paper or clunky PDFs for liability waivers. It started as a weekend build. Now it s used by solo business owners to simplify their client onboarding.
But along the way, I realized I wasn t just solving waivers I was helping service pros feel more legit and reduce admin anxiety.
