I don't believe software crafting engineers will be replaced by AI but software boilerplate engineers will be replaced.
At the end of the day, everything we do converges to the word "Customer". So it high time we sneak peek into so called "Customer Voice" and rewrite what software+product craft engineering will look like in future.
One fact that people forget is technology, programming became famous because people loved to do it. Apart from solving problem, if people are not interested to solve them via programming, then none of the capital nor modern solutions wouldn't have existed.
What is very important now is, as human race, we need to take a break, retrospect ourselves. 10+ years of programming would have made wired your brain for expertise which none of newbies would never achieve in their life time. That is your biggest strength.
We are in golden age of software engineering where we can stop thinking about software engineering itself but focus on solutioning, business and customer values.
If claude writes code, then why can't we talk to customers and give better solutions which claude can never provide at free will.
As programmers we would have at least smiled once in our journey looking into a customer feedback or testimonial, our code solved it.
Maybe start thinking about how we can be useful to other human beings via technology expertise we possess.
"AI-native hiring" is just faster keyword/vector matching. Every atomic hiring step such as filtering applicants, moving to different stages involves, we will be dealing with 100s of judgement parameters before we take any action forward. What are we offloading to AI today? - just admin tasks or human judgements?- Sourcing and filtering are intensive human judgements...
Definitely sourcing is one tough part but given today's social world with Linkedin, Naukri X, reddit, simple job post will get 1000 applicants.Equally tough part is having minimal pipeline to manage applicants and find best hire from them.Broken pipeline like accepting applicants via Google forms, HR emails might seem faster in the initial stages, but suffer in later stagesDownloading and...
For decades, we have been using resumes as primary people discovery tool. frankly speaking, no one likes to update boring resume stuff. We thought why can't we discover people by more signals, deep lens which a personal website/portfolio gives.
This gives people motivation to keep portfolio website upto date with journaling.
ATS automatically captures all signals realtime from github, blogs, case studies docs comprehensively and showcase to employers
We are approaching not AI heavy way. Balance of SAAS + AI integration to build it into people hiring platform.
Would love blunt feedback from others
I and my co-founder have been building my startup for past 9 months. Lets be practical, most founders don't have clarity at Day 0. Same goes for us.Initial 4 - 5 months, hearing all those advices on Problem, solution, customer , value blah. We get it. Idea alone is not enough. Perfect junction of Customer, problem, solution, Value and pricing matters a lot. At some time, we realise this and we...
I would say "Wisdom cannot be trained". Every individual is unique in this world and journey that he travels, experience in professional and personal life, mindset shapes an individual. Its almost impossible to replicate. That wisdom guides the person forever.
We are only ATS, making it easier for people to showcase real work and for startups to spot better candidates faster.
We are not building AI heavy/AI-native tool. We have integrated AI as tool wherever is necessary.
We believe you can't built customer-centric tool if AI is thrown everywhere. Our tool is meant for real human connections and discovery.
Success at first attempt is rare. My original question was around when you decide to pursue one of your idea fulltime. It could be 1, 2, 3rd attempt but at some point, we only have 2 option. Quit or next iteration
We all start with an idea, 0 customers, 0 followers, no clarity on long term on our startups.AT some point, you get conviction, this will work and worth pursuing full-time even though 0 revenue to begin with.For HuntYourTribe, after 2 months, we got 10 portfolios built by strangers and some even kept their link in Github profile. This is it!Even with 0 paying customers, we decided to purse this...
but 5 months, we learned we can't build sustainable business out of it. But we had around 1000+ signups. Users gave us feedback, currently my portfolio looks standalone, if you could connect me with maybe potentials jobs etc then, something value i can pay for.
Then we tried to connect portfolio with ATS. Portfolio-first ATS for startups and lean teams. Then yeah, we got around 10 customers who are ready to pay.
Recently couple of colleges, also expressed interest for such tool.
Now we got our core principle in place, "Build by feedbacks, not with assumptions"
But reality is most startups begins with idea at day 1.
Real game changer is Idea -> problem -> solution -> value for money -> customer, how quickly your startup make these transitions and get your Market Product Fit.
Journey will be hard but hang in there and keep your product floating and keep connecting the dots. No playbook exists
The world is so much blurred with AI-singularity hypothesis of big giants companies.AI-first. what does this mean? I buy a tool and give what do in a single day and rest?AI and paradox of trust by Yuval Noah Hararihttps://www.youtube.com/watch?v=8GaW36EfidI&t=29sAI is a tool - Linus torvaldsFor decades, we have been careful on what message we conveyed to our users. Hero section, email...
Everything else just auxiliary things
I have been building startup for past 8 months.I have started with idea and assumed customers will follow.few signups, 0 revenue growth.We kept learning, improving self and product. Talked to lot of customers and shaped our product for one use case. Now we are getting some traction.Every decision we took looks 6 months ago stupid now. but it is not completely irrelevant. It shaped ourselves...
Fatty teams will become lean. productivity will become 10x. Shipping feels fast.
These signals feels right at first for acceleration.
Once complexity factor starts to creep in every SAAS will need human intervention to scale it forward .
I derive this analogy where AI is like code editor with advanced auto suggestions feature.
How far you are pushed to use by your organisation is going to break every seniors patience.
AI hype is trying blurring between blue collar and white collar people. In reality the line will exists and it will broaden.
Right query would be "When will AI hype disappear?"
Its a battle between AI-tool VS AI-Boss
"Understanding translated into code" has been the art and science of programming for decades.
"Understanding translated into code", this user flow is accelerated now.
But the blueprint remains the same.
Now the industry is blurred with Vibe coding, AI-first coding. But future visionary companies are built by tough mentally wired skilled humans not AI vibes.At the end of the day, we want a human to join our startup team.In next 5 years, If we are making human hiring decision, what is the one trait we should definitely look for?