u/Any-Flower-5844

Hey everyone 👋

I’ve been lifting consistently for years, and one thing always bothered me:

I could log workouts endlessly… but I still couldn’t clearly answer:

“Am I actually getting stronger?”

Most fitness apps are great at storing workouts.

But they don’t really make progress feel measurable.

So I started building LiftIQ.

The idea is simple:

After every workout, your strength score updates based on your estimated 1RM progress, workout performance, and long-term lifting trends.

So instead of digging through logs and spreadsheets, you can actually see whether your training is moving you forward.

The interesting part came after launching the TestFlight.

A lot of users finish workouts and immediately check whether their score changed afterward.

Not charts.
Not workout history.
Just the score.

That’s when I realized the score itself had become the emotional payoff loop.

Since then I’ve been redesigning the app around that idea:

• faster workout logging
• workout templates
• progression trends
• muscle group breakdowns
• PR tracking

We’re currently at ~220 TestFlight users and slowly building a small Discord community around feedback and feature ideas.

Still very early, but it’s been fascinating seeing how emotionally attached people get to measurable progress once it’s visualized properly.

Would genuinely love feedback from people who lift consistently and care about progression.

Giving lifetime premium free to early testers who help shape the app before launch.

Happy to send the TestFlight link + Discord invite.

The numbers:

• 10,000+ views from a single post
• 220 TestFlight testers signed up
• A lot of users finish workouts and immediately check whether their score changed afterward

That last one caught me off guard.

What worked:

The framing landed better than I expected.

"A credit score for your lifting" instantly clicked with people. Most comments weren't just "cool app." People were describing the exact frustration I built this around.

The feedback side surprised me too. People started sending long messages, suggesting features, debating how strength should actually be measured, and genuinely caring about where the app was going.

That changed how I'm thinking about building it going forward. Much more community-driven now.

What didn't work:

I shipped with two UX issues I should've caught earlier.

First, keyboard dismissal was broken in a few flows. Small detail, but those little friction points matter a lot early on.

Second, the app only supported lbs. A meaningful number of people outside the US hit that problem immediately.

Both are getting fixed now.

Shipping something real teaches you things testing never does.

What's next:

• Better flow for logging sets mid-workout
• Push notifications

The more I work on this, the more I think retention is the entire game for fitness apps.

Still very early, but it's been fascinating watching people emotionally attach themselves to a number I originally built just for myself.

If you lift and want to try it, drop a comment or DM me and I'll send the TestFlight link. Early testers who leave feedback get lifetime premium free.

I got tired of resume tools inventing experience people never had.

So I built a different approach.

Most AI resume tools work like this:

You paste your resume + a job description → the model rewrites everything freely.

The output usually sounds polished… until it starts exaggerating skills, inventing experience, or turning your resume into corporate fiction.

That breaks trust immediately.

So instead of building another freeform resume writer, I built Apply-AI, a deterministic resume tailoring system designed to stay grounded in what you've actually done.

It lives directly inside LinkedIn and Greenhouse. No tab-switching, no copy-pasting.

You open a job posting, click the extension, and:

1. It reads the role requirements directly from the page
2. Maps them to evidence already in your resume
3. Generates a tailored version using constrained edits only, in ~30 seconds

You can also add extra projects to your dashboard, so the system has a larger pool of verified work to draw from depending on the role.

Every change has to trace back to something real in your resume or project history.

No fake metrics. No invented technologies. No "results-driven synergy optimization specialist" nonsense.

Just better framing of existing experience.

The most interesting part wasn't building the UI.

It was building guardrails strong enough that the model couldn't quietly lie.

A lot of AI products optimize for sounding convincing instead of being verifiable. I think career tools should optimize for being trustworthy. Especially when applicants are already under pressure to overstate themselves.

The bigger realization:

People don't actually want "AI-generated resumes."

They want:
"Help me tailor my resume faster without rewriting everything manually for every application."

That's the real job.

If you want to try it, Apply-AI is free to start with 5 tailoring runs https://apply-ai-sigma.vercel.app/.

If you try it and leave honest feedback here, I'll give you a free week of unlimited usage. Early feedback has genuinely been the most useful part of building this.

Curious how others are thinking about trust and reliability in AI products right now.

Hey r/chrome_extensions,

I just shipped my first real Chrome extension and wanted to share it here since this community might appreciate the technical side.

Every recruiter kept telling me to tailor my resume to each job. Good advice. Unfortunately, actually doing it feels like being punished for wanting employment. Reading the JD, rewriting bullets, picking relevant projects, reformatting the DOCX so it doesn't explode into a cursed Word artifact - 45+ minutes per application.

So I built a Chrome extension to fix that.

It reads the job description directly from the page, runs it through a backend pipeline against your master resume, and creates a tailored DOCX. There's also a connected dashboard for managing resume content, patch history, and tailored versions.

The part I cared about most: it only uses experience already in your resume. No inventing five years of Kubernetes because a job post whispered "cloud." Apparently lying confidently is now a software feature. Not here.

Would love feedback on the extension flow, permissions, and dashboard/extension split, or whether it just feels like another AI tool wearing a trench coat. Feel free to roast the UX. Useful pain is still useful. Also, feel free to leave a comment just to discuss the idea with me.

If you try it and leave real feedback, I'm happy to give you 1 week of unlimited access. I will also accept emotional support from strangers on the internet.

Chrome Web Store: Chrome

Landing page: https://apply-ai-sigma.vercel.app/