We often see launch posts, milestones, and success stories. What we don t see as much are honest breakdowns of products that quietly stalled or failed.
I feel there s a lot of learning hidden there about timing, assumptions, and trade-offs.
A story and an experiment have been spreading on X: Scientists uploaded the brain of a fruit fly into a computer, and now it lives freely in its own simulation.
We managed to clone the physical form of animals more than 30 years ago (for example, the cloning of a goat using SCNT in 1999). There was even a controversial case in China where a scientist was sued after attempting to create gene-edited babies in 2018.
Ten years ago, if a Facebook post didn t receive enough reactions, I would delete it immediately.
Yep, 18-year-old Nika was terrified that people would notice her failure. Reality check: when a post flops, almost nobody sees it anyway. The only person who actually suffers from the low engagement is the original poster.
As we approach the conclusion of 2023, reflect on the lessons and insights gained throughout this year. What significant learnings have you acquired amidst the experiences and events of the past twelve months?
currently building a daily newsletter aimed towards people who scroll on social media every morning. instead of waking up to chaotic feeds, how much nicer would it be to learn something cool in <5 minutes before you fully wake up and get out of bed? (quotidianlearning.substack.com) idk if my newsletter has a large audience and if it does, what's the best way to expand my reach?
This week in the Product Hunt blog, we have a banger from Julia Yu. She's the co-founder of 2024 Golden Kitty winner Unicorns Club, which matches VCs with early-stage startups. She's also founded three VC-backed companies herself.
According to Julia, early-stage founders need to change their mental model about pre-seed funding ASAP. As she puts it:
Once upon a time (in fact, as recently as two years ago), early-stage startups needed three things to get into investor conversations: a strong narrative, a solid team, and a prototype. Now, in most software categories, that s no longer enough.
The advent of AI has shifted investors attention to actual metrics. Yes, even at the pre-seed level, investors don t care so much about promise as they do about realized potential. They want monthly recurring revenue (MRR) and growth rate.
I've been going deep on Telegram as a prospecting channel and I'm curious how others handle it.
The problem I keep hitting: Telegram communities are full of buying signals people asking for tool recommendations, complaining about a workflow, looking to switch vendors but reading every thread manually doesn't scale, and scraping members is spammy and mostly useless.
Italy has become the first western country to ban ChatGPT. The Government has cited privacy concerns as a reason for the ban. Could this be a sign for things to come, not just for ChatGPT but AI as a whole?
