How do you decide progressions
Want to know how you decide when to increase weights on lifts is the reps you do on your current max, the way you look in mirror or your weight, hunger or something I am missing??
Want to know how you decide when to increase weights on lifts is the reps you do on your current max, the way you look in mirror or your weight, hunger or something I am missing??
Looking for a affordable faceless video generator to promote my brand.. any thoughts???
So I started building upStella.ai
What it's NOT:
Not another ATS (please, no)
Not a sourcing tool
Not an AI that reads résumés and spits out a score
What it actually is:
An intelligence layer that sits between your existing hiring workflow and the decisions you make at the end of it.
Concretely:
Structured intake — When a role opens, the system helps define what "great" looks like before anyone interviews anyone. Not a job description. An evaluation framework. What skills, what evidence, what signals matter for this specific role.
Semantic matching on applications — Instead of keyword-matching CVs, it reads for actual relevance to the role definition. Reduces the noise before your recruiter even opens the first application.
Scorecard analysis — After interviews, structured scorecard data gets organised so a debrief is a 15-minute evidence-based conversation, not a 90-minute "I think she was good but..." loop.
Decision-ready handoffs — The hiring manager gets a summary that shows candidate A vs B vs C on the dimensions that actually matter for the role — not a wall of interview notes nobody reads.
The key difference from everything else out there:
Most hiring tools are built around workflow — move the candidate from stage A to stage B efficiently. That's useful but it doesn't make you hire better people. It just makes you hire people faster.
UpStella is built around decision quality. The question it's trying to answer isn't "where is this candidate in the pipeline?" — it's "based on the evidence we've gathered, is this the right person for this role, and can we defend that decision six months from now?"
We're not replacing your ATS. We sit on top of it. You keep Greenhouse or Lever or whatever you're using. We add the intelligence layer it doesn't have.
I’m validating an HR SaaS idea and want honest opinions.
The hypothesis:
Most teams are not “hiring wrong.” They’re hiring blind because candidate data, interview feedback, screening notes, and hiring-manager opinions are scattered everywhere.
The idea is an AI layer that helps recruiters:
Rank candidates
Reduce low-fit noise
Create better shortlists
Structure screening notes
Analyze scorecards
Make evidence-backed hiring decisions
It would not replace the ATS. It would sit on top of the workflow and help teams make clearer decisions faster.
For anyone involved in hiring:
Would this solve a real problem?
Or is the bigger issue something else entirely — budget, bad job descriptions, poor hiring managers, fake candidates, weak ATS adoption, or slow internal approvals?
I’m trying to validate the problem before building too much, so brutal feedback is appreciated.
I’m validating an HR SaaS idea and want honest opinions.
The hypothesis:
Most teams are not “hiring wrong.” They’re hiring blind because candidate data, interview feedback, screening notes, and hiring-manager opinions are scattered everywhere.
The idea is an AI layer that helps recruiters:
Rank candidates
Reduce low-fit noise
Create better shortlists
Structure screening notes
Analyze scorecards
Make evidence-backed hiring decisions
It would not replace the ATS. It would sit on top of the workflow and help teams make clearer decisions faster.
For anyone involved in hiring:
Would this solve a real problem?
Or is the bigger issue something else entirely — budget, bad job descriptions, poor hiring managers, fake candidates, weak ATS adoption, or slow internal approvals?
I’m trying to validate the problem before building too much, so brutal feedback is appreciated.
Do you go into the gym with a proper plan, or do you just decide on the spot based on what machines are free / what muscle group you feel like training?
I keep noticing the same problems:
people find workouts on YouTube / Instagram / ChatGPT
then get to the gym and realize they don’t have the same machines
or they’re not sure how to do the exercise properly
or their trainer only helps 2–3 times a week and the rest is still guesswork
Curious how common this is.
What do you personally do right now? And what’s the most frustrating part of it?
I’m validating an HR SaaS idea and want honest opinions.
The hypothesis:
Most teams are not “hiring wrong.” They’re hiring blind because candidate data, interview feedback, screening notes, and hiring-manager opinions are scattered everywhere.
The idea is an AI layer that helps recruiters:
Rank candidates
Reduce low-fit noise
Create better shortlists
Structure screening notes
Analyze scorecards
Make evidence-backed hiring decisions
It would not replace the ATS. It would sit on top of the workflow and help teams make clearer decisions faster.
For anyone involved in hiring:
Would this solve a real problem?
Or is the bigger issue something else entirely — budget, bad job descriptions, poor hiring managers, fake candidates, weak ATS adoption, or slow internal approvals?
I’m trying to validate the problem before building too much, so brutal feedback is appreciated.
Random idea I’m validating:
What if a fitness app let you select your gym first, and then generated your workout plan only using the machines and equipment actually available there?
So instead of getting a generic “push day” with exercises your gym may not even have, it builds around your real setup.
Would that actually be useful to you, or do you think people would still prefer generic plans / trainers?
Trying to figure out if this solves a real pain or just sounds good on paper.
I’m trying to understand how people actually train.
Do you go into the gym with a proper plan, or do you just decide on the spot based on what machines are free / what muscle group you feel like training?
I keep noticing the same problems:
people find workouts on YouTube / Instagram / ChatGPT
then get to the gym and realize they don’t have the same machines
or they’re not sure how to do the exercise properly
or their trainer only helps 2–3 times a week and the rest is still guesswork
Curious how common this is.
What do you personally do right now? And what’s the most frustrating part of it?