Better job search. AI first. The first and only* job search that helps you find what you want by omitting what you don't want.
Joined July 2023
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Agreed. For insiders, it's higher risk and potentially high reward, so can be worthwhile (and more fun/interesting) as long as you have financial cushion to survive being pushed out.
Many people try various ways to look smart, without realizing that the opposite is a critical part of high achievement: "I could try out lots of really "dumb" ideas very fast"
Genius. marta-puerto.com
Note to #JobSeekers: yes, it's frustrating. But there are many ways you can stand out. Here's one.
Agreed. Great advice for #JobSeekers. The company doesn't care why you need a job, or how badly you need it -- they may have >100 candidates with equally compelling stories. Instead, understand what they're looking for and show how you're the best fit.
Echoing from github.com/supabase-communit… - Do you have a before/after example or other docs on how we change our server-side Python code (no JS framework) to take advantage of this? e.g. was the redirect changed from #access_token to ?access_token -- or a redirect param added to SignInWithOAuthCredentials or ???
The essay is from 6 years ago: Nov 11, 2017. Not sure whether still ahead of the curve, or describes a path that won't play out as forecast.
Still worth reading and pondering, including for possible affects on career.
Lots of people post visual market maps but many of us want the underlying data. Here's a real example xitter.cf/omooretweets/sta… that has several challenging aspects. Goal: html table with 50 rows: number, cropped logo, company name, domain, and both favicon and logo extracted from home page -- useful in general and important as a cross-check. Willing to give it a try?
"Maybe so, maybe not. We’ll see."
A founder and his son had an AI startup that helped the family earn a living.
One day, OpenAI released ChatGPT and tech twitter cried out “Your startup is fucked, what terrible luck!”.
The founder replied “Maybe so, maybe not. We’ll see.”
A few months later the startup doubled in MRR because ChatGPT educated the market on AI and it's use cases.
Twitter shouted out “Your hard work has paid off! What an amazing MRR graph!” and the founder replied “Maybe so, maybe not. We’ll see.”
Later that year, a copycat saw all of the founder's success and decided to clone their AI startup.
Twitter cried out “You have a copycat doing better than you now, what terrible luck!”. The founder replied, “Maybe so, maybe not. We’ll see.”
The copycat couldn't keep up with the sudden traffic and abandoned their project, which lead to many of their users coming to the original startup instead.
Twitter exclaimed “You've outlasted the competition and taken their users, what tremendous luck!”, to which the founder replied “Maybe so, maybe not. We’ll see.”
—
I tweaked one of my favorite proverbs and based it on our startup story
I decided to write this because nowadays, I see all this fear-mongering of “holy fuck ChatGPT just killed a million startups because of this plugin or that feature or because of this announcement on dev day”
These posts are balanced by the headstrong founders who post the opposite of “well actually these changes are excellent for our business and now we are going to be a trillion-dollar company instead of a billion-dollar company!!!”
Even if constant anxiety and/or forced optimism about the AI landscape was the optimal way to run a business, it seems like such a draining way to live
Is our philosophy of marching forward and being generally unaffected by the AI landscape a better way to run a startup?
Maybe so, maybe not. We’ll see.
One way to differentiate: support BBEdit and other desktop editors/IDEs. A smaller but passionate market.
Great thread, including for #JobSeekers
Plua a special note to #HiringManagers - it's fine to hire people who have had the same title for years, even decades. And people who want to move from management back into an individual contributor role.
Good example for #JobSeekers - if there are companies or technologies that really interest you, get involved. Make a contribution. Stand out. Will only rarely pay off right away, but will almost always pay off eventually -- often in multiple unexpected ways.
#JobSeekers - choose your side! Optimize by statistical chance of upside or join a company you believe in.
Academic #JobOpenings for AI Postdocs.
"(PLI) seeks to develop fundamental understanding of large AI models; enable their application to research and education across academic disciplines; and study societal and ethical implications..."
The health co is: @CorticaCare "Oct. 3, 2023 /PRNewswire/ -- ... physician-led, whole-child, value-based autism services company, has raised $40 million in a Series D extension"
vs. @Cortica ... self-learning vision technology to the automotive, security, & drone industries.